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    <title>Super Data Science: ML &amp; AI Podcast with Jon Krohn</title>
    <link>https://www.superdatascience.com/podcast</link>
    <language>en</language>
    <copyright>© 2024 Super Data Science: ML &amp; AI Podcast with Jon Krohn</copyright>
    <description>The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.</description>
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      <title>Super Data Science: ML &amp; AI Podcast with Jon Krohn</title>
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    <itunes:author>Jon Krohn</itunes:author>
    <itunes:summary>The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.</itunes:summary>
    <content:encoded>
      <![CDATA[<p>The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.</p><p><br></p><p>Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.</p><p><br></p><p>We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.</p>]]>
    </content:encoded>
    <itunes:owner>
      <itunes:name>Jon Krohn</itunes:name>
      <itunes:email>podcast@superdatascience.com</itunes:email>
    </itunes:owner>
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    <itunes:category text="Technology">
    </itunes:category>
    <itunes:category text="Science">
    </itunes:category>
    <item>
      <title>986: Building Hardware is Hard but AI Agents Help, with Kishore Subramanian</title>
      <description>CTO of Propel Software Kishore Subramanian talks to Jon Krohn about how product lifecycle management (PLM) software and quality management systems help ensure compliance, record management, and quality assurance. Listen to the episode to hear Kishore Subramanian talk about best practices for getting started with Agentforce 360, his top tips for deploying AI projects, and why yoga and meditation could make you better at building AI products!

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/984⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.⁠⁠⁠



In this episode you will learn:  


  (05:21) How Propel Software meets its customers’ demands

  (07:57) About Propel One AI 

  (13:31) A case study for Salesforce’s Agentforce 360 Platform

  (17:08) How to build an enterprise-ready agent with Agentforce 360

  (19:21) How to get your AI tool into production</description>
      <pubDate>Fri, 24 Apr 2026 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2525668e-3fbb-11f1-ac45-2f3082c6d067/image/72896baca84a9fdccd7e7e9f953ebb9d.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>CTO of Propel Software Kishore Subramanian talks to Jon Krohn about how product lifecycle management (PLM) software and quality management systems help ensure compliance, record management, and quality assurance. Listen to the episode to hear Kishore Subramanian talk about best practices for getting started with Agentforce 360, his top tips for deploying AI projects, and why yoga and meditation could make you better at building AI products!

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/984⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.⁠⁠⁠



In this episode you will learn:  


  (05:21) How Propel Software meets its customers’ demands

  (07:57) About Propel One AI 

  (13:31) A case study for Salesforce’s Agentforce 360 Platform

  (17:08) How to build an enterprise-ready agent with Agentforce 360

  (19:21) How to get your AI tool into production</itunes:summary>
      <content:encoded>
        <![CDATA[<p>CTO of Propel Software Kishore Subramanian talks to Jon Krohn about how product lifecycle management (PLM) software and quality management systems help ensure compliance, record management, and quality assurance. Listen to the episode to hear Kishore Subramanian talk about best practices for getting started with Agentforce 360, his top tips for deploying AI projects, and why yoga and meditation could make you better at building AI products!</p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/984">www.superdatascience.com/984⁠⁠⁠⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.⁠⁠⁠</p>
<p><br></p>
<p>In this episode you will learn:  </p>
<ul>
  <li>(05:21) How Propel Software meets its customers’ demands</li>
  <li>(07:57) About Propel One AI </li>
  <li>(13:31) A case study for Salesforce’s Agentforce 360 Platform</li>
  <li>(17:08) How to build an enterprise-ready agent with Agentforce 360</li>
  <li>(19:21) How to get your AI tool into production</li>
</ul>]]>
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      <itunes:duration>1783</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title> 985: The Four Types of Memory Every AI Agent Needs, with Richmond Alake</title>
      <description>Oracle’s Director of AI Developer Experience Richmond Alake returns to the show to talk to Jon Krohn about agent memory; the network of systems, models, databases and LLMs that enable AI agents to learn and adapt over time. Listen to the episode to hear about Richmond’s “100 Days of Agent Memory” initiative, retrieval-augmented generation’s (RAG) limitations with AI agents, the layers of the AI agent stack, and what makes the Oracle AI database so useful to developers.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/985⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:    


    

(03:15) What agent memory is and why it’s important


    

(28:28) RAG’s limitations for AI agents 


    

(35:19) What matters in the AI agent stack beyond memory


    

(41:34) Why memory was undervalued in the AI agent stack</description>
      <pubDate>Tue, 21 Apr 2026 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/15a80e24-3d53-11f1-b4b4-d36a2a646e18/image/3eecf97b8df5979e99a659e014051e17.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Oracle’s Director of AI Developer Experience Richmond Alake returns to the show to talk to Jon Krohn about agent memory; the network of systems, models, databases and LLMs that enable AI agents to learn and adapt over time. Listen to the episode to hear about Richmond’s “100 Days of Agent Memory” initiative, retrieval-augmented generation’s (RAG) limitations with AI agents, the layers of the AI agent stack, and what makes the Oracle AI database so useful to developers.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/985⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:    


    

(03:15) What agent memory is and why it’s important


    

(28:28) RAG’s limitations for AI agents 


    

(35:19) What matters in the AI agent stack beyond memory


    

(41:34) Why memory was undervalued in the AI agent stack</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Oracle’s Director of AI Developer Experience Richmond Alake returns to the show to talk to Jon Krohn about agent memory; the network of systems, models, databases and LLMs that enable AI agents to learn and adapt over time. Listen to the episode to hear about Richmond’s “100 Days of Agent Memory” initiative, retrieval-augmented generation’s (RAG) limitations with AI agents, the layers of the AI agent stack, and what makes the Oracle AI database so useful to developers.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/985">www.superdatascience.com/985</a>⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:    </p>
<ul>
  <li>  </li>
<li>(03:15) What agent memory is and why it’s important</li>

  <li>  </li>
<li>(28:28) RAG’s limitations for AI agents </li>

  <li>  </li>
<li>(35:19) What matters in the AI agent stack beyond memory</li>

  <li>  </li>
<li>(41:34) Why memory was undervalued in the AI agent stack</li>

</ul>]]>
      </content:encoded>
      <itunes:duration>3869</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[15a80e24-3d53-11f1-b4b4-d36a2a646e18]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8335157348.mp3?updated=1776767215" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>984: Building AI Agents Where 99.9% Accuracy Isn't Good Enough, with Raju Malhotra</title>
      <description>Raju Malhotra, Chief Product and Technology Officer at Certinia, talks to Jon Krohn about the so-called SaaSpocalypse and how agentic AI is proving the doomsayers wrong. Listen to the episode to hear more about Certinia’s work with Salesforce and building with Agentforce 360, the three elements required for enterprise-grade agents, how AI agents have benefitted Certinia’s customers, and how to keep your work portfolio fresh and interesting to recruiters.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/984⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.⁠⁠⁠



In this episode you will learn:  


  
(01:24) What Certinia does for professional services companies



  
(08:45) Why the "SaaSpocalypse" is wrong



  
(13:19) Agentforce 360 and how Certinia builds on it



  
(15:06) The three elements required for enterprise-grade agents



  
(18:02) How AI agents have impacted Certinia's customers</description>
      <pubDate>Fri, 17 Apr 2026 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/890b7f48-3896-11f1-adf4-f70f8e3c419f/image/89af7cf08ead66019b85614075cc9723.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Raju Malhotra, Chief Product and Technology Officer at Certinia, talks to Jon Krohn about the so-called SaaSpocalypse and how agentic AI is proving the doomsayers wrong. Listen to the episode to hear more about Certinia’s work with Salesforce and building with Agentforce 360, the three elements required for enterprise-grade agents, how AI agents have benefitted Certinia’s customers, and how to keep your work portfolio fresh and interesting to recruiters.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/984⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.⁠⁠⁠



In this episode you will learn:  


  
(01:24) What Certinia does for professional services companies



  
(08:45) Why the "SaaSpocalypse" is wrong



  
(13:19) Agentforce 360 and how Certinia builds on it



  
(15:06) The three elements required for enterprise-grade agents



  
(18:02) How AI agents have impacted Certinia's customers</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Raju Malhotra, Chief Product and Technology Officer at Certinia, talks to Jon Krohn about the so-called SaaSpocalypse and how agentic AI is proving the doomsayers wrong. Listen to the episode to hear more about Certinia’s work with Salesforce and building with Agentforce 360, the three elements required for enterprise-grade agents, how AI agents have benefitted Certinia’s customers, and how to keep your work portfolio fresh and interesting to recruiters.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/984">⁠www.superdatascience.com/984⁠⁠⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.⁠⁠⁠</p>
<p><br></p>
<p>In this episode you will learn:  </p>
<ul>
  <li>
<p>(01:24) What Certinia does for professional services companies</p>
</li>
  <li>
<p>(08:45) Why the "SaaSpocalypse" is wrong</p>
</li>
  <li>
<p>(13:19) Agentforce 360 and how Certinia builds on it</p>
</li>
  <li>
<p>(15:06) The three elements required for enterprise-grade agents</p>
</li>
  <li>
<p>(18:02) How AI agents have impacted Certinia's customers</p>
</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>1758</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[890b7f48-3896-11f1-adf4-f70f8e3c419f]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1336114623.mp3?updated=1776411410" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>983: AI in the Classroom: How a Top Elementary School Is Doing It Right, with Principal Traci Walker Griffith</title>
      <description>My guest today took a public school that was about to be shut down and turned it into the number one school in Boston, and AI is her latest secret weapon. In a long-overdue episode on AI for supporting children’s education, hear directly from Principal Traci Walker Griffith how her teachers have been experimenting with AI in classrooms, what works, what doesn’t work, and what’s next for kids as LLMs continue to improve.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/983⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:  


    

(03:38) The Eliot School’s transformation from closure list to number one in Boston  


  (08:54) How the school began using Claude for AI-assisted writing feedback

  (18:14) How younger students benefit from AI behind the scenes

  (23:46) How older students interact with AI directly

  (41:11) Three prompt engineering failure modes and how to fix them

  (55:29) Responding to the Brookings report on AI risks in education</description>
      <pubDate>Tue, 14 Apr 2026 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2ddd3c06-371a-11f1-90ff-075b6e10e37a/image/316a29b83b715788cd29320d7f4eed42.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>My guest today took a public school that was about to be shut down and turned it into the number one school in Boston, and AI is her latest secret weapon. In a long-overdue episode on AI for supporting children’s education, hear directly from Principal Traci Walker Griffith how her teachers have been experimenting with AI in classrooms, what works, what doesn’t work, and what’s next for kids as LLMs continue to improve.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/983⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:  


    

(03:38) The Eliot School’s transformation from closure list to number one in Boston  


  (08:54) How the school began using Claude for AI-assisted writing feedback

  (18:14) How younger students benefit from AI behind the scenes

  (23:46) How older students interact with AI directly

  (41:11) Three prompt engineering failure modes and how to fix them

  (55:29) Responding to the Brookings report on AI risks in education</itunes:summary>
      <content:encoded>
        <![CDATA[<p>My guest today took a public school that was about to be shut down and turned it into the number one school in Boston, and AI is her latest secret weapon. In a long-overdue episode on AI for supporting children’s education, hear directly from Principal Traci Walker Griffith how her teachers have been experimenting with AI in classrooms, what works, what doesn’t work, and what’s next for kids as LLMs continue to improve.</p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/983">www.superdatascience.com/983⁠⁠⁠</a>⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:  </p>
<ul>
  <li>  </li>
<li>(03:38) The Eliot School’s transformation from closure list to number one in Boston  </li>

  <li>(08:54) How the school began using Claude for AI-assisted writing feedback</li>
  <li>(18:14) How younger students benefit from AI behind the scenes</li>
  <li>(23:46) How older students interact with AI directly</li>
  <li>(41:11) Three prompt engineering failure modes and how to fix them</li>
  <li>(55:29) Responding to the Brookings report on AI risks in education</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4356</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[2ddd3c06-371a-11f1-90ff-075b6e10e37a]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5631882534.mp3?updated=1776156417" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title> 982: In Case You Missed It in March 2026</title>
      <description>Jon Krohn rounds up March’s interviews in this ICYMI episode. Hear from AI and data science experts across the fields of education and business in this wide-ranging series of clips that take listeners from the Renaissance to the near future. Guests include Lin Quiao (Episode 971), Chris Fregly (Episode 973), Zack Kass (Episode 975), Kyunghyun Cho (Episode 977), and Rohit Choudhary (Episode 979).  



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/982⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 10 Apr 2026 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/cd773b8e-33f2-11f1-8b40-9b31f39bec97/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Jon Krohn rounds up March’s interviews in this ICYMI episode. Hear from AI and data science experts across the fields of education and business in this wide-ranging series of clips that take listeners from the Renaissance to the near future. Guests include Lin Quiao (Episode 971), Chris Fregly (Episode 973), Zack Kass (Episode 975), Kyunghyun Cho (Episode 977), and Rohit Choudhary (Episode 979).  



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/982⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn rounds up March’s interviews in this ICYMI episode. Hear from AI and data science experts across the fields of education and business in this wide-ranging series of clips that take listeners from the Renaissance to the near future. Guests include Lin Quiao (Episode 971), Chris Fregly (Episode 973), Zack Kass (Episode 975), Kyunghyun Cho (Episode 977), and Rohit Choudhary (Episode 979).  </p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/982">www.superdatascience.com/982⁠</a>⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2658</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[cd773b8e-33f2-11f1-8b40-9b31f39bec97]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4864557248.mp3?updated=1775810935" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>981: How Data Engineers Are “10x’ing” Themselves With Agents, feat. Matt Glickman</title>
      <description>Matt Glickman talks to Jon Krohn about co-founding the agentic-platform startup, Genesis Computing, how his experience at Goldman Sachs paved the way for developing AI agents, and where he thinks agentic AI has just as much value as a company’s human employees. This February, Genesis Computing revealed how its platform can offer the guardrails so crucial to businesses, alongside increased capabilities that help execute entire workflows from research to deployment.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/981⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:  


  
(12:56) Cloud adoption in finance and healthcare



  
(18:28) How Genesis Computing uses AI agents 



  
(31:05) AI agents replacing humans in the workplace  	



  
(56:25) An argument for encouraging enterprises to use AI   </description>
      <pubDate>Tue, 07 Apr 2026 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/451beaf2-319d-11f1-b301-ef88d9d07aa9/image/e61dff5eb0f86fd91eec6e3bb8e20f6e.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Matt Glickman talks to Jon Krohn about co-founding the agentic-platform startup, Genesis Computing, how his experience at Goldman Sachs paved the way for developing AI agents, and where he thinks agentic AI has just as much value as a company’s human employees. This February, Genesis Computing revealed how its platform can offer the guardrails so crucial to businesses, alongside increased capabilities that help execute entire workflows from research to deployment.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/981⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:  


  
(12:56) Cloud adoption in finance and healthcare



  
(18:28) How Genesis Computing uses AI agents 



  
(31:05) AI agents replacing humans in the workplace  	



  
(56:25) An argument for encouraging enterprises to use AI   </itunes:summary>
      <content:encoded>
        <![CDATA[<p>Matt Glickman talks to Jon Krohn about co-founding the agentic-platform startup, Genesis Computing, how his experience at Goldman Sachs paved the way for developing AI agents, and where he thinks agentic AI has just as much value as a company’s human employees. This February, Genesis Computing revealed how its platform can offer the guardrails so crucial to businesses, alongside increased capabilities that help execute entire workflows from research to deployment.</p>
<p><br>Additional materials: <a href="https://www.superdatascience.com/981">⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/981⁠⁠</a>⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:  </p>
<ul>
  <li>
<p>(12:56) Cloud adoption in finance and healthcare</p>
</li>
  <li>
<p>(18:28) How Genesis Computing uses AI agents </p>
</li>
  <li>
<p>(31:05) AI agents replacing humans in the workplace  	</p>
</li>
  <li>
<p>(56:25) An argument for encouraging enterprises to use AI    </p>
</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4475</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[451beaf2-319d-11f1-b301-ef88d9d07aa9]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7109622026.mp3?updated=1775550082" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>980: AI Making Theoretical Physics Breakthroughs</title>
      <description>A team of theoretical physicists from Harvard, Cambridge, the Institute for Advanced Study, and Vanderbilt used OpenAI’s models not just as a tool, but as a collaborator, cracking a problem in particle physics that had stymied them for months. In this Five-Minute Friday, Jon Krohn walks through how GPT-5.2 Pro simplified a 32-variable mathematical expression into a single line, proposed what it called the “obvious generalization” for any number of gluons, and how a more powerful internal model then produced a formal proof after 12 hours of autonomous reasoning. Find out why this may be a template for AI-assisted scientific discovery and what it means for the future of research.

Additional materials:⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/980⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 03 Apr 2026 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6852559a-2f38-11f1-bd87-23d1e169d713/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>A team of theoretical physicists from Harvard, Cambridge, the Institute for Advanced Study, and Vanderbilt used OpenAI’s models not just as a tool, but as a collaborator, cracking a problem in particle physics that had stymied them for months. In this Five-Minute Friday, Jon Krohn walks through how GPT-5.2 Pro simplified a 32-variable mathematical expression into a single line, proposed what it called the “obvious generalization” for any number of gluons, and how a more powerful internal model then produced a formal proof after 12 hours of autonomous reasoning. Find out why this may be a template for AI-assisted scientific discovery and what it means for the future of research.

Additional materials:⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/980⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>A team of theoretical physicists from Harvard, Cambridge, the Institute for Advanced Study, and Vanderbilt used OpenAI’s models not just as a tool, but as a collaborator, cracking a problem in particle physics that had stymied them for months. In this Five-Minute Friday, Jon Krohn walks through how GPT-5.2 Pro simplified a 32-variable mathematical expression into a single line, proposed what it called the “obvious generalization” for any number of gluons, and how a more powerful internal model then produced a formal proof after 12 hours of autonomous reasoning. Find out why this may be a template for AI-assisted scientific discovery and what it means for the future of research.</p>
<p><br>Additional materials:⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/980">www.superdatascience.com/980</a>⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>589</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[6852559a-2f38-11f1-bd87-23d1e169d713]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3667301683.mp3?updated=1775212236" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>979: Agentic Data Management and the Future of Enterprise AI, with Rohit Choudhary</title>
      <description>For years, Jon has been quoting the stat that the world's data is roughly doubling every year. His guest today says that’s way too conservative, he’s seeing enterprise data soon growing at close to 10x per year. And most organizations are nowhere near ready for what that means. In this episode, Rohit Choudhary, founder and CEO of Acceldata, explains how the agentic data management platform his team has built helps enterprises make their increasingly vast amounts of data self-aware, self-optimizing, and AI-ready. He breaks down why governance needs to be operational and real-time rather than a one-time compliance exercise, and shares his view on why the most valuable professionals in the age of AI won’t be the best programmers, they’ll be the ones with the clearest thinking and the deepest domain expertise.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/979⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:  


  
(03:26) How Rohit coined the term “data observability”



  
(06:04) Agentic data management use cases



  
(12:46) Why fixing data at the point of consumption is 1000x more expensive



  
(30:49) Career paths and skills for the age of AI



  
(42:38) Why enterprise data will soon grow at nearly 10x per year</description>
      <pubDate>Tue, 31 Mar 2026 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1e8dfdc4-2ce0-11f1-bc35-4bf8fb8c962d/image/8a5c5371a0595fd7fac395d1096a8595.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>For years, Jon has been quoting the stat that the world's data is roughly doubling every year. His guest today says that’s way too conservative, he’s seeing enterprise data soon growing at close to 10x per year. And most organizations are nowhere near ready for what that means. In this episode, Rohit Choudhary, founder and CEO of Acceldata, explains how the agentic data management platform his team has built helps enterprises make their increasingly vast amounts of data self-aware, self-optimizing, and AI-ready. He breaks down why governance needs to be operational and real-time rather than a one-time compliance exercise, and shares his view on why the most valuable professionals in the age of AI won’t be the best programmers, they’ll be the ones with the clearest thinking and the deepest domain expertise.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/979⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:  


  
(03:26) How Rohit coined the term “data observability”



  
(06:04) Agentic data management use cases



  
(12:46) Why fixing data at the point of consumption is 1000x more expensive



  
(30:49) Career paths and skills for the age of AI



  
(42:38) Why enterprise data will soon grow at nearly 10x per year</itunes:summary>
      <content:encoded>
        <![CDATA[<p>For years, Jon has been quoting the stat that the world's data is roughly doubling every year. His guest today says that’s way too conservative, he’s seeing enterprise data soon growing at close to 10x per year. And most organizations are nowhere near ready for what that means. In this episode, Rohit Choudhary, founder and CEO of Acceldata, explains how the agentic data management platform his team has built helps enterprises make their increasingly vast amounts of data self-aware, self-optimizing, and AI-ready. He breaks down why governance needs to be operational and real-time rather than a one-time compliance exercise, and shares his view on why the most valuable professionals in the age of AI won’t be the best programmers, they’ll be the ones with the clearest thinking and the deepest domain expertise.</p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/979">www.superdatascience.com/979⁠</a>⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:  </p>
<ul>
  <li>
<p>(03:26) How Rohit coined the term “data observability”</p>
</li>
  <li>
<p>(06:04) Agentic data management use cases</p>
</li>
  <li>
<p>(12:46) Why fixing data at the point of consumption is 1000x more expensive</p>
</li>
  <li>
<p>(30:49) Career paths and skills for the age of AI</p>
</li>
  <li>
<p>(42:38) Why enterprise data will soon grow at nearly 10x per year</p>
</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>3907</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[1e8dfdc4-2ce0-11f1-bc35-4bf8fb8c962d]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8814692233.mp3?updated=1774949202" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>978: A Post-Transformer Architecture Crushes Sudoku (Transformers Solve ~0%)</title>
      <description>A game millions of people solve over morning coffee is exposing a fundamental weakness in today’s most powerful AI models. In this Five-Minute Friday, Jon Krohn breaks down Pathway’s new Sudoku Extreme benchmark, roughly 250,000 of the hardest Sudoku puzzles available and why leading LLMs like o3-mini, DeepSeek-R1, and Claude 3.7 Sonnet scored effectively zero percent, while Pathway’s post-transformer BDH architecture achieved 97.4% accuracy at a fraction of the cost. Listen to the episode to find out what BDH is doing differently, why Sudoku performance matters far beyond puzzles, and what this means for the future of AI reasoning.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/978⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 27 Mar 2026 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e29c04c0-28f0-11f1-ab1b-eb22d0313b47/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>A game millions of people solve over morning coffee is exposing a fundamental weakness in today’s most powerful AI models. In this Five-Minute Friday, Jon Krohn breaks down Pathway’s new Sudoku Extreme benchmark, roughly 250,000 of the hardest Sudoku puzzles available and why leading LLMs like o3-mini, DeepSeek-R1, and Claude 3.7 Sonnet scored effectively zero percent, while Pathway’s post-transformer BDH architecture achieved 97.4% accuracy at a fraction of the cost. Listen to the episode to find out what BDH is doing differently, why Sudoku performance matters far beyond puzzles, and what this means for the future of AI reasoning.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/978⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>A game millions of people solve over morning coffee is exposing a fundamental weakness in today’s most powerful AI models. In this Five-Minute Friday, Jon Krohn breaks down Pathway’s new Sudoku Extreme benchmark, roughly 250,000 of the hardest Sudoku puzzles available and why leading LLMs like o3-mini, DeepSeek-R1, and Claude 3.7 Sonnet scored effectively zero percent, while Pathway’s post-transformer BDH architecture achieved 97.4% accuracy at a fraction of the cost. Listen to the episode to find out what BDH is doing differently, why Sudoku performance matters far beyond puzzles, and what this means for the future of AI reasoning.</p>
<p><br>Additional materials:<a href="https://www.superdatascience.com/978"> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/978</a>⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>639</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[e29c04c0-28f0-11f1-ab1b-eb22d0313b47]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5403184044.mp3?updated=1774606789" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>977: Attention, World Models and the Future of AI, with Prof. Kyunghyun Cho</title>
      <description>What’s going to be the next big step function that blasts us forward in AI capabilities? To find out, Jon Krohn sits down with Professor Kyunghyun Cho, whose 200,000 citations and co-authorship of the first paper on attention place him among the most influential AI researchers in the world. In this episode, Kyunghyun explains why today’s models have already captured most correlations in passive data, making the real challenge about actively choosing which data to collect. He also weighs in on the open debate around world models, whether AI needs high-fidelity, step-by-step imagination or whether a high-level latent representation that lets it skip ahead is sufficient and shares the surprising discovery that 80% of his 200 computer science students had never installed a coding agent.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/977⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


    

(06:43) The story behind the attention mechanism


  (28:43) Sample efficiency and active data collection

  (39:04) World models and latent planning

  (49:52) Teaching undergrads with coding agents

  (58:21) Reranking, multi-stage ranking, and the foundations of RAG</description>
      <pubDate>Tue, 24 Mar 2026 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ba8ce14c-274d-11f1-898d-bb04067a042b/image/f0335c35c79ca67b0cd1f349d34dbc68.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>What’s going to be the next big step function that blasts us forward in AI capabilities? To find out, Jon Krohn sits down with Professor Kyunghyun Cho, whose 200,000 citations and co-authorship of the first paper on attention place him among the most influential AI researchers in the world. In this episode, Kyunghyun explains why today’s models have already captured most correlations in passive data, making the real challenge about actively choosing which data to collect. He also weighs in on the open debate around world models, whether AI needs high-fidelity, step-by-step imagination or whether a high-level latent representation that lets it skip ahead is sufficient and shares the surprising discovery that 80% of his 200 computer science students had never installed a coding agent.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/977⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


    

(06:43) The story behind the attention mechanism


  (28:43) Sample efficiency and active data collection

  (39:04) World models and latent planning

  (49:52) Teaching undergrads with coding agents

  (58:21) Reranking, multi-stage ranking, and the foundations of RAG</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What’s going to be the next big step function that blasts us forward in AI capabilities? To find out, Jon Krohn sits down with Professor Kyunghyun Cho, whose 200,000 citations and co-authorship of the first paper on attention place him among the most influential AI researchers in the world. In this episode, Kyunghyun explains why today’s models have already captured most correlations in passive data, making the real challenge about actively choosing which data to collect. He also weighs in on the open debate around world models, whether AI needs high-fidelity, step-by-step imagination or whether a high-level latent representation that lets it skip ahead is sufficient and shares the surprising discovery that 80% of his 200 computer science students had never installed a coding agent.</p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/977">www.superdatascience.com/977</a>⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>  </li>
<li>(06:43) The story behind the attention mechanism</li>

  <li>(28:43) Sample efficiency and active data collection</li>
  <li>(39:04) World models and latent planning</li>
  <li>(49:52) Teaching undergrads with coding agents</li>
  <li>(58:21) Reranking, multi-stage ranking, and the foundations of RAG</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4694</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[ba8ce14c-274d-11f1-898d-bb04067a042b]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7215350713.mp3?updated=1774337722" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>976: NVIDIA’s Nemotron 3 Super: The Perfect LLM for Multi-Agent Systems</title>
      <description>NVIDIA just dropped Nemotron 3 Super, a 120-billion-parameter open-weight model that only activates 12 billion parameters at a time and it’s built for the agentic AI era. In this Five-Minute Friday, Jon Krohn breaks down the model’s hybrid Mamba-Transformer architecture, its million-token context window, and why its combination of frontier-class reasoning with blazing-fast throughput matters for anyone building multi-agent systems. Find out how Nemotron 3 Super claimed the #1 spot on the DeepResearch Bench leaderboards, which companies are already adopting it, and where you can start using it today.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/976⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 20 Mar 2026 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e6c01f56-2430-11f1-b957-7f2cddddf895/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>NVIDIA just dropped Nemotron 3 Super, a 120-billion-parameter open-weight model that only activates 12 billion parameters at a time and it’s built for the agentic AI era. In this Five-Minute Friday, Jon Krohn breaks down the model’s hybrid Mamba-Transformer architecture, its million-token context window, and why its combination of frontier-class reasoning with blazing-fast throughput matters for anyone building multi-agent systems. Find out how Nemotron 3 Super claimed the #1 spot on the DeepResearch Bench leaderboards, which companies are already adopting it, and where you can start using it today.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/976⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>NVIDIA just dropped Nemotron 3 Super, a 120-billion-parameter open-weight model that only activates 12 billion parameters at a time and it’s built for the agentic AI era. In this Five-Minute Friday, Jon Krohn breaks down the model’s hybrid Mamba-Transformer architecture, its million-token context window, and why its combination of frontier-class reasoning with blazing-fast throughput matters for anyone building multi-agent systems. Find out how Nemotron 3 Super claimed the #1 spot on the DeepResearch Bench leaderboards, which companies are already adopting it, and where you can start using it today.</p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/976">⁠www.superdatascience.com/976⁠⁠</a>⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>612</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[e6c01f56-2430-11f1-b957-7f2cddddf895]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5434277099.mp3?updated=1773997714" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>975: Unmetered Intelligence is Heralding the Next Renaissance, with Zack Kass</title>
      <description>Zack Kass speaks to Jon Krohn about his bestselling, tech-positive book, The Next Renaissance, that charts the rapid progress of humanity and the benefits that artificial intelligence will bring to us, as well as why a future where intelligence is a cheap and abundant resource will give humanity an edge. Elsewhere in the show, Zack discusses why it’s important to hold parents, teachers and students accountable for their education, why it is incumbent on us to build a healthier relationship with technology, and his 4 principles for thriving in the age of AI.

This episode is brought to you by the⁠ ⁠⁠Cisco⁠, by ⁠Acceldata⁠ and by ⁠⁠ODSC, the Open Data Science Conference⁠⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/975⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  
(03:14) About Zack Kass’ book, The Next Renaissance



  
(20:18) The importance of literacy skills in the age of AI



  
(28:01) AI in education



  
(41:01) Principles for living in the era of AI</description>
      <pubDate>Tue, 17 Mar 2026 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b62ad678-2107-11f1-82b9-bfac1d5901bb/image/ab88fcfeb75fbccde8515b3cf5647fb0.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Zack Kass speaks to Jon Krohn about his bestselling, tech-positive book, The Next Renaissance, that charts the rapid progress of humanity and the benefits that artificial intelligence will bring to us, as well as why a future where intelligence is a cheap and abundant resource will give humanity an edge. Elsewhere in the show, Zack discusses why it’s important to hold parents, teachers and students accountable for their education, why it is incumbent on us to build a healthier relationship with technology, and his 4 principles for thriving in the age of AI.

This episode is brought to you by the⁠ ⁠⁠Cisco⁠, by ⁠Acceldata⁠ and by ⁠⁠ODSC, the Open Data Science Conference⁠⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/975⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  
(03:14) About Zack Kass’ book, The Next Renaissance



  
(20:18) The importance of literacy skills in the age of AI



  
(28:01) AI in education



  
(41:01) Principles for living in the era of AI</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Zack Kass speaks to Jon Krohn about his bestselling, tech-positive book, The Next Renaissance, that charts the rapid progress of humanity and the benefits that artificial intelligence will bring to us, as well as why a future where intelligence is a cheap and abundant resource will give humanity an edge. Elsewhere in the show, Zack discusses why it’s important to hold parents, teachers and students accountable for their education, why it is incumbent on us to build a healthier relationship with technology, and his 4 principles for thriving in the age of AI.</p>
<p><br>This episode is brought to you by the⁠<a href="https://agntcy.org/"> <u>⁠⁠</u></a><u>Cisco</u>⁠, by <a href="https://www.acceldata.io/free-trial">⁠<u>Acceldata</u>⁠</a> and by ⁠<a href="https://odsc.ai/">⁠<u>ODSC, the Open Data Science Conference</u>⁠</a>⁠.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/975">www.superdatascience.com/975⁠⁠</a>⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>
<p>(03:14) About Zack Kass’ book, The Next Renaissance</p>
</li>
  <li>
<p>(20:18) The importance of literacy skills in the age of AI</p>
</li>
  <li>
<p>(28:01) AI in education</p>
</li>
  <li>
<p>(41:01) Principles for living in the era of AI</p>
</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4370</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[b62ad678-2107-11f1-82b9-bfac1d5901bb]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4313532036.mp3?updated=1773652300" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>974: When Will The AI Bubble Burst? How Bad Will It Be?</title>
      <description>In this week’s Five-Minute Friday, Jon Krohn holds the AI bubble up to the light. He points to the deep greyzone found in AI startups like Cluely that are established on dubious ideas (Cluely’s tagline was “cheat on everything”) and funding bluster, as well as the staggering spending by companies on infrastructure and researcher salaries. Listen to the episode to hear about the historical precedents to the AI bubble that go all the way back to the invention of the railway, what to make of current investments in AI, and what you can do about these changes as an AI practitioner.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/974⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 13 Mar 2026 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e4d78ac2-1df9-11f1-aea4-77c9c12cdf2e/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this week’s Five-Minute Friday, Jon Krohn holds the AI bubble up to the light. He points to the deep greyzone found in AI startups like Cluely that are established on dubious ideas (Cluely’s tagline was “cheat on everything”) and funding bluster, as well as the staggering spending by companies on infrastructure and researcher salaries. Listen to the episode to hear about the historical precedents to the AI bubble that go all the way back to the invention of the railway, what to make of current investments in AI, and what you can do about these changes as an AI practitioner.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/974⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this week’s Five-Minute Friday, Jon Krohn holds the AI bubble up to the light. He points to the deep greyzone found in AI startups like Cluely that are established on dubious ideas (Cluely’s tagline was “cheat on everything”) and funding bluster, as well as the staggering spending by companies on infrastructure and researcher salaries. Listen to the episode to hear about the historical precedents to the AI bubble that go all the way back to the invention of the railway, what to make of current investments in AI, and what you can do about these changes as an AI practitioner.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/974">www.superdatascience.com/974⁠</a>⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>836</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[e4d78ac2-1df9-11f1-aea4-77c9c12cdf2e]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7422727989.mp3?updated=1773392776" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>973: AI Systems Performance Engineering, with Chris Fregly</title>
      <description>No one should be manually writing code in 2026, thinks Chris Fregly, Jon Krohn’s guest on this week’s episode. In this interview about Chris’ latest book, AI Systems Performance Engineering, he explains why it’s so important to consider memory bandwidth when evaluating GPU performance, that understanding the full hardware software stack is the most valuable skill for anyone working in AI development, and which shortcuts we still shouldn’t ever take when writing code, even though we might be outsourcing a great deal to generative AI.

This episode is brought to you by the ⁠⁠Cisco, by Acceldata and by ⁠ODSC, the Open Data Science Conference⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/973⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (03:39) Why Chris wrote AI Systems Performance Engineering 



  (21:39) Essential coding metrics 



  (37:24) The importance of inference when coding



  (42:11) How to manage workflows while using AI agents



  (51:37) Where and how to invest in the AI market</description>
      <pubDate>Tue, 10 Mar 2026 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ba4753ae-1945-11f1-bed7-933b18736616/image/1606fa6c86d04a0eb8b06ada2cbdc2d0.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>No one should be manually writing code in 2026, thinks Chris Fregly, Jon Krohn’s guest on this week’s episode. In this interview about Chris’ latest book, AI Systems Performance Engineering, he explains why it’s so important to consider memory bandwidth when evaluating GPU performance, that understanding the full hardware software stack is the most valuable skill for anyone working in AI development, and which shortcuts we still shouldn’t ever take when writing code, even though we might be outsourcing a great deal to generative AI.

This episode is brought to you by the ⁠⁠Cisco, by Acceldata and by ⁠ODSC, the Open Data Science Conference⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/973⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (03:39) Why Chris wrote AI Systems Performance Engineering 



  (21:39) Essential coding metrics 



  (37:24) The importance of inference when coding



  (42:11) How to manage workflows while using AI agents



  (51:37) Where and how to invest in the AI market</itunes:summary>
      <content:encoded>
        <![CDATA[<p>No one should be manually writing code in 2026, thinks Chris Fregly, Jon Krohn’s guest on this week’s episode. In this interview about Chris’ latest book, AI Systems Performance Engineering, he explains why it’s so important to consider memory bandwidth when evaluating GPU performance, that understanding the full hardware software stack is the most valuable skill for anyone working in AI development, and which shortcuts we still shouldn’t ever take when writing code, even though we might be outsourcing a great deal to generative AI.</p>
<p><br>This episode is brought to you by the<a href="https://agntcy.org/"> <u>⁠⁠Cisco</u></a>, by <a href="https://www.acceldata.io/free-trial"><u>Acceldata</u></a> and by ⁠<a href="https://odsc.ai/"><u>ODSC, the Open Data Science Conference</u></a>⁠.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/973">www.superdatascience.com/973⁠</a>⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>(03:39) Why Chris wrote AI Systems Performance Engineering </li>
</ul>
<ul>
  <li>(21:39) Essential coding metrics </li>
</ul>
<ul>
  <li>(37:24) The importance of inference when coding</li>
</ul>
<ul>
  <li>(42:11) How to manage workflows while using AI agents</li>
</ul>
<ul>
  <li>(51:37) Where and how to invest in the AI market</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4330</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[ba4753ae-1945-11f1-bed7-933b18736616]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5815134005.mp3?updated=1773137626" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>972: In Case You Missed It in February 2026</title>
      <description>Jon Krohn recaps the month of February in this episode of In Case You Missed It. Across four interviews with Will Falcon (Episode 965), Tom Griffiths (Episode 969), Antje Barth (Episode 963), and Praveen Murugesan (Episode 967), Jon questions the brains behind some of the AI industry’s most innovative companies about launching a startup, developing a popular product, what artificial intelligence can still learn from human intelligence, and how AI might finally start to think on its own.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/972⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 06 Mar 2026 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e4792d96-1873-11f1-b767-6796c6f3eeb3/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Jon Krohn recaps the month of February in this episode of In Case You Missed It. Across four interviews with Will Falcon (Episode 965), Tom Griffiths (Episode 969), Antje Barth (Episode 963), and Praveen Murugesan (Episode 967), Jon questions the brains behind some of the AI industry’s most innovative companies about launching a startup, developing a popular product, what artificial intelligence can still learn from human intelligence, and how AI might finally start to think on its own.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/972⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn recaps the month of February in this episode of In Case You Missed It. Across four interviews with Will Falcon (Episode 965), Tom Griffiths (Episode 969), Antje Barth (Episode 963), and Praveen Murugesan (Episode 967), Jon questions the brains behind some of the AI industry’s most innovative companies about launching a startup, developing a popular product, what artificial intelligence can still learn from human intelligence, and how AI might finally start to think on its own.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/972">www.superdatascience.com/972</a>⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1604</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[e4792d96-1873-11f1-b767-6796c6f3eeb3]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4496887253.mp3?updated=1772798590" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>971: 90% of The World’s Data is Private; Lin Qiao’s Fireworks AI is Unlocking It</title>
      <description>Lin Qiao, CEO of Fireworks AI, talks to Jon Krohn about how she builds effective models quickly, why coding agents can perform at the level of a junior engineer, and what she attributes to the success of Fireworks AI: True to its name, the company exploded into the AI industry with over $300 million secured in venture capital, as well as netting a further $250 million Series C funding. For Lin, many enterprises miss out by not being familiar with open models. Open models give a lot of control to the user, offering customizability and at a much lower price point. Listen to hear how Fireworks AI helps companies continue to save money through AI.





This episode is brought to you by the⁠ ⁠⁠⁠⁠Dell⁠⁠⁠, by⁠ ⁠⁠Intel⁠⁠⁠, by ⁠Cisco⁠ and by ⁠Acceldata⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/971⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  
(01:19) All about Fireworks AI



  
(24:16) Why companies need to take notice of open models



  
(33:05) The commercial viability of slow-reasoning models



  
(38:51) Fireworks AI’s approach to model performance evaluations</description>
      <pubDate>Tue, 03 Mar 2026 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/11a1e44c-1631-11f1-ac5a-d30e3bacc468/image/25a6f87284e4560f35ba3b3cc4a2c4a1.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Lin Qiao, CEO of Fireworks AI, talks to Jon Krohn about how she builds effective models quickly, why coding agents can perform at the level of a junior engineer, and what she attributes to the success of Fireworks AI: True to its name, the company exploded into the AI industry with over $300 million secured in venture capital, as well as netting a further $250 million Series C funding. For Lin, many enterprises miss out by not being familiar with open models. Open models give a lot of control to the user, offering customizability and at a much lower price point. Listen to hear how Fireworks AI helps companies continue to save money through AI.





This episode is brought to you by the⁠ ⁠⁠⁠⁠Dell⁠⁠⁠, by⁠ ⁠⁠Intel⁠⁠⁠, by ⁠Cisco⁠ and by ⁠Acceldata⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/971⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  
(01:19) All about Fireworks AI



  
(24:16) Why companies need to take notice of open models



  
(33:05) The commercial viability of slow-reasoning models



  
(38:51) Fireworks AI’s approach to model performance evaluations</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Lin Qiao, CEO of Fireworks AI, talks to Jon Krohn about how she builds effective models quickly, why coding agents can perform at the level of a junior engineer, and what she attributes to the success of Fireworks AI: True to its name, the company exploded into the AI industry with over $300 million secured in venture capital, as well as netting a further $250 million Series C funding. For Lin, many enterprises miss out by not being familiar with open models. Open models give a lot of control to the user, offering customizability and at a much lower price point. Listen to hear how Fireworks AI helps companies continue to save money through AI.</p>
<p><br></p>
<p><br></p>
<p>This episode is brought to you by the<a href="https://aws.amazon.com/ai/machine-learning/trainium/">⁠ ⁠</a><a href="http://www.dell.com/dellproaistudio">⁠<u>⁠⁠Dell⁠⁠</u>⁠</a>, by<a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand">⁠ <u>⁠⁠Intel⁠⁠</u>⁠</a>, by <a href="https://agntcy.org/">⁠<u>Cisco</u>⁠</a> and by <a href="https://www.acceldata.io/free-trial">⁠<u>Acceldata</u>⁠</a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/971">www.superdatascience.com/971</a>⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>
<p>(01:19) All about Fireworks AI</p>
</li>
  <li>
<p>(24:16) Why companies need to take notice of open models</p>
</li>
  <li>
<p>(33:05) The commercial viability of slow-reasoning models</p>
</li>
  <li>
<p>(38:51) Fireworks AI’s approach to model performance evaluations</p>
</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>3587</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[11a1e44c-1631-11f1-ac5a-d30e3bacc468]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7478721309.mp3?updated=1772529935" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>970: The “100x Engineer”: How to Be One, But Should You?</title>
      <description>Working with code-gen models and Claude Code: In this Five-Minute Friday, Jon Krohn addresses how AI superstars like Andrej Karpathy are using AI agents in their coding work, the outlook for code-gen in 2026, and how you can get started. Hear about Karpathy’s work as well as the soaring success of Peter Steinberger and how he managed to surpass the GitHub commit rate of teams as an individual working with AI agents.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/970⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 27 Feb 2026 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1898c316-13ba-11f1-8bf3-2bb5f586bf6c/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Working with code-gen models and Claude Code: In this Five-Minute Friday, Jon Krohn addresses how AI superstars like Andrej Karpathy are using AI agents in their coding work, the outlook for code-gen in 2026, and how you can get started. Hear about Karpathy’s work as well as the soaring success of Peter Steinberger and how he managed to surpass the GitHub commit rate of teams as an individual working with AI agents.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/970⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Working with code-gen models and Claude Code: In this Five-Minute Friday, Jon Krohn addresses how AI superstars like Andrej Karpathy are using AI agents in their coding work, the outlook for code-gen in 2026, and how you can get started. Hear about Karpathy’s work as well as the soaring success of Peter Steinberger and how he managed to surpass the GitHub commit rate of teams as an individual working with AI agents.</p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/970">www.superdatascience.com/970</a>⁠⁠⁠⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>877</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[1898c316-13ba-11f1-8bf3-2bb5f586bf6c]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7224110747.mp3?updated=1772192345" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>969: The Laws of Thought: The Math of Minds and Machines, with Prof. Tom Griffiths</title>
      <description>Princeton Professor Tom Griffiths talks to Jon Krohn about his new book, The Laws of Thought, which grapples with the mathematical models behind biological and artificial intelligence, and what makes the human brain so fascinating for psychologists and computer scientists to study. In this episode, he details how the mathematical principles governing the external world can also be used to explore cognitive science, or “the internal world.” 

This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Cisco and by Acceldata.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/969⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  
(01:18) Tom Griffiths’ current research



  
(21:23) On mathematical inference in LLMs



  
(35:19) How to engineer inductive bias



  
(52:00) How to model curiosity into AI systems</description>
      <pubDate>Tue, 24 Feb 2026 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/56dfadc8-1159-11f1-8c2d-9377fe86870b/image/cfb7daf5036eb57dd154f97246cf04bf.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Princeton Professor Tom Griffiths talks to Jon Krohn about his new book, The Laws of Thought, which grapples with the mathematical models behind biological and artificial intelligence, and what makes the human brain so fascinating for psychologists and computer scientists to study. In this episode, he details how the mathematical principles governing the external world can also be used to explore cognitive science, or “the internal world.” 

This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Cisco and by Acceldata.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/969⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  
(01:18) Tom Griffiths’ current research



  
(21:23) On mathematical inference in LLMs



  
(35:19) How to engineer inductive bias



  
(52:00) How to model curiosity into AI systems</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Princeton Professor Tom Griffiths talks to Jon Krohn about his new book, The Laws of Thought, which grapples with the mathematical models behind biological and artificial intelligence, and what makes the human brain so fascinating for psychologists and computer scientists to study. In this episode, he details how the mathematical principles governing the external world can also be used to explore cognitive science, or “the internal world.” </p>
<p><br>This episode is brought to you by the<a href="https://aws.amazon.com/ai/machine-learning/trainium/"> </a><a href="http://www.dell.com/dellproaistudio"><u>⁠⁠Dell⁠⁠</u></a>, by<a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand"> <u>⁠⁠Intel⁠⁠</u></a>, by <a href="https://agntcy.org/"><u>Cisco</u></a> and by <a href="https://www.acceldata.io/free-trial"><u>Acceldata</u></a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/969">www.superdatascience.com/969⁠⁠⁠⁠⁠⁠</a>⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>
<p>(01:18) Tom Griffiths’ current research</p>
</li>
  <li>
<p>(21:23) On mathematical inference in LLMs</p>
</li>
  <li>
<p>(35:19) How to engineer inductive bias</p>
</li>
  <li>
<p>(52:00) How to model curiosity into AI systems </p>
</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4275</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[56dfadc8-1159-11f1-8c2d-9377fe86870b]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5946462213.mp3?updated=1771933176" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>968: Is AI Automating Away All Coding Jobs?</title>
      <description>Now that AI agents can develop new apps from product development to delivery, do AI developers have reason to worry about their careers? Podcast host Jon Krohn addresses the stark predictions that AI could “eliminate half of all entry-level white-collar jobs” by going back to the data. Find out why the numbers show a very different picture, which in-demand occupations have increased by 40% since late 2022, and Jon’s advice on why technical professionals shouldn’t panic in this latest Five-Minute Friday. 

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/968⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 20 Feb 2026 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f76b3b2a-0e36-11f1-8873-b797c39f3ff5/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Now that AI agents can develop new apps from product development to delivery, do AI developers have reason to worry about their careers? Podcast host Jon Krohn addresses the stark predictions that AI could “eliminate half of all entry-level white-collar jobs” by going back to the data. Find out why the numbers show a very different picture, which in-demand occupations have increased by 40% since late 2022, and Jon’s advice on why technical professionals shouldn’t panic in this latest Five-Minute Friday. 

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/968⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Now that AI agents can develop new apps from product development to delivery, do AI developers have reason to worry about their careers? Podcast host Jon Krohn addresses the stark predictions that AI could “eliminate half of all entry-level white-collar jobs” by going back to the data. Find out why the numbers show a very different picture, which in-demand occupations have increased by 40% since late 2022, and Jon’s advice on why technical professionals shouldn’t panic in this latest Five-Minute Friday. </p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/968">www.superdatascience.com/968⁠⁠</a>⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>896</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[f76b3b2a-0e36-11f1-8873-b797c39f3ff5]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4821403790.mp3?updated=1771585448" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>967: AI for the Physical World, with Samsara's Praveen Murugesan</title>
      <description>VP of Engineering at Samsara Praveen Murugesan talks to Jon Krohn about processing 20 trillion data points covering 90 billion miles across private and public sectors, how the company helps truckers who operate long hours and travel for long stretches without cellphone signal, and who they’re looking to hire to help this physical AI pioneer keep on developing high-impact solutions for real-world problems. And, if you’re looking to work for the company, there’s no better time to apply, and you’ll want to listen to the end of the show to hear exactly what Praveen looks for in new hires.

This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Acceldata and by the ODSC, the Open Data Science Conference⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/967⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  
(01:01) The challenges of working with logistics data 



  
(16:43) Operating Edge AI in logistics and construction sectors



  
(28:43) How quantum computing might redefine logistics



  
(40:09) The real cost of swapping human heuristics for algorithmic planning



  
(44:45) How to get a job at Samsara</description>
      <pubDate>Tue, 17 Feb 2026 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/eaca605a-0b0a-11f1-8eb5-875c30597eba/image/39eaeeae3491879160f765d44427f747.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>VP of Engineering at Samsara Praveen Murugesan talks to Jon Krohn about processing 20 trillion data points covering 90 billion miles across private and public sectors, how the company helps truckers who operate long hours and travel for long stretches without cellphone signal, and who they’re looking to hire to help this physical AI pioneer keep on developing high-impact solutions for real-world problems. And, if you’re looking to work for the company, there’s no better time to apply, and you’ll want to listen to the end of the show to hear exactly what Praveen looks for in new hires.

This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Acceldata and by the ODSC, the Open Data Science Conference⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/967⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  
(01:01) The challenges of working with logistics data 



  
(16:43) Operating Edge AI in logistics and construction sectors



  
(28:43) How quantum computing might redefine logistics



  
(40:09) The real cost of swapping human heuristics for algorithmic planning



  
(44:45) How to get a job at Samsara</itunes:summary>
      <content:encoded>
        <![CDATA[<p>VP of Engineering at Samsara Praveen Murugesan talks to Jon Krohn about processing 20 trillion data points covering 90 billion miles across private and public sectors, how the company helps truckers who operate long hours and travel for long stretches without cellphone signal, and who they’re looking to hire to help this physical AI pioneer keep on developing high-impact solutions for real-world problems. And, if you’re looking to work for the company, there’s no better time to apply, and you’ll want to listen to the end of the show to hear exactly what Praveen looks for in new hires.<br></p>
<p>This episode is brought to you by the<a href="https://aws.amazon.com/ai/machine-learning/trainium/"> </a><a href="http://www.dell.com/dellproaistudio"><u>⁠⁠Dell⁠⁠</u></a>, by<a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand"> <u>⁠⁠Intel⁠⁠</u></a>, by <a href="https://www.acceldata.io/free-trial"><u>Acceldata</u></a> and by the <a href="https://odsc.ai/"><u>ODSC, the Open Data Science Conference</u></a>⁠.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/967">www.superdatascience.com/967⁠⁠⁠⁠⁠</a>⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>
<p>(01:01) The challenges of working with logistics data </p>
</li>
  <li>
<p>(16:43) Operating Edge AI in logistics and construction sectors</p>
</li>
  <li>
<p>(28:43) How quantum computing might redefine logistics</p>
</li>
  <li>
<p>(40:09) The real cost of swapping human heuristics for algorithmic planning</p>
</li>
  <li>
<p>(44:45) How to get a job at Samsara </p>
</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>3310</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[eaca605a-0b0a-11f1-8eb5-875c30597eba]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2170975140.mp3?updated=1771312278" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>966: The Moltbook Phenomenon: OpenClaw Unleashed</title>
      <description>Jon Krohn gives Five-Minute Friday listeners all the details about the new social network causing a stir, Moltbook. What makes Moltbook so unique is that this is the first network designed just for AI agents. It’s an exclusive club, only its alleged 1.5 million registered agents can post, comment, and upvote, but we can watch this real-world experiment in agent ecology from the sidelines. Listen to the episode to hear the fascinating, if disturbing, story of Moltbook’s swift turn into facilitating a digital theocracy and forms of government, and whether this development is a sign of an approaching singularity or rather AI continuing to ape human thought and turn it into slop. 

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/966⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 13 Feb 2026 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/60867b9c-07fc-11f1-8524-5fedc0a48fd3/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Jon Krohn gives Five-Minute Friday listeners all the details about the new social network causing a stir, Moltbook. What makes Moltbook so unique is that this is the first network designed just for AI agents. It’s an exclusive club, only its alleged 1.5 million registered agents can post, comment, and upvote, but we can watch this real-world experiment in agent ecology from the sidelines. Listen to the episode to hear the fascinating, if disturbing, story of Moltbook’s swift turn into facilitating a digital theocracy and forms of government, and whether this development is a sign of an approaching singularity or rather AI continuing to ape human thought and turn it into slop. 

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/966⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn gives Five-Minute Friday listeners all the details about the new social network causing a stir, Moltbook. What makes Moltbook so unique is that this is the first network designed just for AI agents. It’s an exclusive club, only its alleged 1.5 million registered agents can post, comment, and upvote, but we can watch this real-world experiment in agent ecology from the sidelines. Listen to the episode to hear the fascinating, if disturbing, story of Moltbook’s swift turn into facilitating a digital theocracy and forms of government, and whether this development is a sign of an approaching singularity or rather AI continuing to ape human thought and turn it into slop. </p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/966">www.superdatascience.com/966⁠</a>⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>613</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[60867b9c-07fc-11f1-8524-5fedc0a48fd3]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7710624396.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>965: From PhD Side Project to $500M ARR: Will Falcon’s PyTorch Lightning Story</title>
      <description>CEO of Lightning AI Will Falcon speaks to podcast host and Lightning AI fellow Jon Krohn about the company’s merger with Voltage Park, and why Will has named it the “full-stack AI neo-cloud for enterprises and frontier labs”. Lightning AI’s offer is a secure, flexible, and collaborative environment that can run on the cloud, all essentials for early-stage startups. Listen to the episode to hear Will Falcon discuss Lightning AI Studio, founding PyTorch Lightning, and how he came to found his AI company.



This episode is brought to you by the Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Fabi and by Cisco.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/965⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (02:20) Lightning AI’s merger with Voltage Park

  (20:54) About neo-clouds

  (43:51) How Will founded Lightning AI

  (54:48) Current gaps in the AI in workplace</description>
      <pubDate>Tue, 10 Feb 2026 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9ff2313a-05a5-11f1-8496-df3a695ecbc7/image/6fcd34fff0731f178e844385f530b038.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>CEO of Lightning AI Will Falcon speaks to podcast host and Lightning AI fellow Jon Krohn about the company’s merger with Voltage Park, and why Will has named it the “full-stack AI neo-cloud for enterprises and frontier labs”. Lightning AI’s offer is a secure, flexible, and collaborative environment that can run on the cloud, all essentials for early-stage startups. Listen to the episode to hear Will Falcon discuss Lightning AI Studio, founding PyTorch Lightning, and how he came to found his AI company.



This episode is brought to you by the Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Fabi and by Cisco.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/965⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (02:20) Lightning AI’s merger with Voltage Park

  (20:54) About neo-clouds

  (43:51) How Will founded Lightning AI

  (54:48) Current gaps in the AI in workplace</itunes:summary>
      <content:encoded>
        <![CDATA[<p>CEO of Lightning AI Will Falcon speaks to podcast host and Lightning AI fellow Jon Krohn about the company’s merger with Voltage Park, and why Will has named it the “full-stack AI neo-cloud for enterprises and frontier labs”. Lightning AI’s offer is a secure, flexible, and collaborative environment that can run on the cloud, all essentials for early-stage startups. Listen to the episode to hear Will Falcon discuss Lightning AI Studio, founding PyTorch Lightning, and how he came to found his AI company.</p>
<p><br></p>
<p>This episode is brought to you by the<a href="http://www.dell.com/dellproaistudio"><u> </u></a><u>Dell⁠⁠</u>, by<a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand"> <u>⁠⁠Intel⁠⁠</u></a>, by <a href="https://www.fabi.ai/"><u>Fabi</u></a> and by <a href="https://agntcy.org/"><u>Cisco</u></a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/965">www.superdatascience.com/965⁠⁠⁠⁠</a>⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>(02:20) Lightning AI’s merger with Voltage Park</li>
  <li>(20:54) About neo-clouds</li>
  <li>(43:51) How Will founded Lightning AI</li>
  <li>(54:48) Current gaps in the AI in workplace</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4631</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[9ff2313a-05a5-11f1-8496-df3a695ecbc7]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2080902120.mp3?updated=1770719949" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>964: In Case You Missed It in January 2026</title>
      <description>In this first of the year ICYMI episode, Jon Krohn selects his favorite moments from January’s SuperDataScience interviews. Listen to why incentivizing workers is the best way to get them to disclose their use of AI tools and pave the way for an AI-forward future, how AI continues to mimic human development in its own evolution, the importance of evaluation in building AI systems, and how to keep your best employees (and also: how to know your value) with guests Sadie St. Lawrence, Ashwin Rajeeva, Sinan Ozdemir, Vijoy Pandey, and Ethan Mollick.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/964⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 06 Feb 2026 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a312296a-027b-11f1-af4f-5b39174c1f33/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this first of the year ICYMI episode, Jon Krohn selects his favorite moments from January’s SuperDataScience interviews. Listen to why incentivizing workers is the best way to get them to disclose their use of AI tools and pave the way for an AI-forward future, how AI continues to mimic human development in its own evolution, the importance of evaluation in building AI systems, and how to keep your best employees (and also: how to know your value) with guests Sadie St. Lawrence, Ashwin Rajeeva, Sinan Ozdemir, Vijoy Pandey, and Ethan Mollick.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/964⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this first of the year ICYMI episode, Jon Krohn selects his favorite moments from January’s SuperDataScience interviews. Listen to why incentivizing workers is the best way to get them to disclose their use of AI tools and pave the way for an AI-forward future, how AI continues to mimic human development in its own evolution, the importance of evaluation in building AI systems, and how to keep your best employees (and also: how to know your value) with guests Sadie St. Lawrence, Ashwin Rajeeva, Sinan Ozdemir, Vijoy Pandey, and Ethan Mollick.</p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/964">⁠www.superdatascience.com/964⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1520</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[a312296a-027b-11f1-af4f-5b39174c1f33]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6036585146.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>963: Reinforcement Learning for Agents, with Amazon AGI Labs’ Antje Barth</title>
      <description>Bestselling author and Gen AI instructor Antje Barth talks to Jon Krohn about her work at Amazon’s AGI Labs and their newest product Nova Act, as well as where we will see the most success with AI agents and how AI developers can reap those rewards. 



This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Fabi and by Cisco.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/963⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (01:23) Amazon’s latest product, Nova Act

  (11:05) How Nova Act tests reliability

  (24:01) Where Amazon’s 1000s of gen AI deployments succeed

  (31:32) How Nova Act maintains its security

  (36:32) The increasing value of agentic AI developers</description>
      <pubDate>Tue, 03 Feb 2026 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/313ac3f4-0025-11f1-9e48-2f955ee006a0/image/da19349efc895af634aee7c65c4d35c1.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Bestselling author and Gen AI instructor Antje Barth talks to Jon Krohn about her work at Amazon’s AGI Labs and their newest product Nova Act, as well as where we will see the most success with AI agents and how AI developers can reap those rewards. 



This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Fabi and by Cisco.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/963⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (01:23) Amazon’s latest product, Nova Act

  (11:05) How Nova Act tests reliability

  (24:01) Where Amazon’s 1000s of gen AI deployments succeed

  (31:32) How Nova Act maintains its security

  (36:32) The increasing value of agentic AI developers</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Bestselling author and Gen AI instructor Antje Barth talks to Jon Krohn about her work at Amazon’s AGI Labs and their newest product Nova Act, as well as where we will see the most success with AI agents and how AI developers can reap those rewards. </p>
<p><br></p>
<p>This episode is brought to you by the<a href="https://aws.amazon.com/ai/machine-learning/trainium/"> </a><a href="http://www.dell.com/dellproaistudio"><u>⁠⁠Dell⁠⁠</u></a>, by<a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand"> <u>⁠⁠Intel⁠⁠</u></a>, by <a href="https://www.fabi.ai/"><u>Fabi</u></a> and by <a href="https://agntcy.org/"><u>Cisco</u></a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/963">www.superdatascience.com/963⁠⁠⁠</a>⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>(01:23) Amazon’s latest product, Nova Act</li>
  <li>(11:05) How Nova Act tests reliability</li>
  <li>(24:01) Where Amazon’s 1000s of gen AI deployments succeed</li>
  <li>(31:32) How Nova Act maintains its security</li>
  <li>(36:32) The increasing value of agentic AI developers</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>3069</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[313ac3f4-0025-11f1-9e48-2f955ee006a0]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2620397856.mp3?updated=1770108226" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>962: Wharton Prof Ethan Mollick on Why Your AI Strategy Is Already Obsolete</title>
      <description>Bestselling author of Co-Intelligence: Living and Working with AI Ethan Mollick speaks to Jon Krohn about just how much US firms have to gain from a willingness to adopt and experiment with AI, as well as the reality behind AI use among employees and the frontier models set to support them even further. 

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/962⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.⁠⁠⁠</description>
      <pubDate>Fri, 30 Jan 2026 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9f8a27b2-fc30-11f0-8698-87b8de7f4cd6/image/9ce23c05b636938986566dfd9c5f1b5a.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Bestselling author of Co-Intelligence: Living and Working with AI Ethan Mollick speaks to Jon Krohn about just how much US firms have to gain from a willingness to adopt and experiment with AI, as well as the reality behind AI use among employees and the frontier models set to support them even further. 

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/962⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.⁠⁠⁠</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Bestselling author of Co-Intelligence: Living and Working with AI Ethan Mollick speaks to Jon Krohn about just how much US firms have to gain from a willingness to adopt and experiment with AI, as well as the reality behind AI use among employees and the frontier models set to support them even further. </p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/962">www.superdatascience.com/962⁠⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.⁠⁠⁠</p>]]>
      </content:encoded>
      <itunes:duration>743</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[9f8a27b2-fc30-11f0-8698-87b8de7f4cd6]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4585454813.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>961: Distributed Artificial Superintelligence, with Dr. Vijoy Pandey</title>
      <description>Dr. Vijoy Pandey returns to the show to talk to Jon Krohn about Cisco’s work to advance medicine and mitigate the impact of climate change with distributed artificial super-intelligence. Dr. Vijoy Pandey believes in a future where humans and AI agents work together to tackle our biggest challenges. For this to happen, we will need to have multi-agent systems and open-source platforms that let agents work together, avoiding the phenomenon of AI agents being “isolated geniuses” unable to collaborate. He elaborates on what Cisco is doing to close this gap.



This episode is brought to you by the⁠ ⁠⁠Dell⁠⁠⁠, by⁠ ⁠⁠Intel⁠⁠⁠, by ⁠Fabi⁠ and by ⁠⁠⁠⁠Scaylor⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/961⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (03:55) A definition of artificial super-intelligence       	

  (14:03) Distributed learning through Cisco’s Outshift  	

  (21:29) The semantic protocols for sharing intent in a distributed artificial super-intelligence framework

  (37:44) The cognitive memory fabric of the distributed artificial super-intelligence framework

  (46:24) Using cognitive engines as part of the distributed artificial super-intelligence framework</description>
      <pubDate>Tue, 27 Jan 2026 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7b6b6ca6-fa87-11f0-89b4-4750b98972cf/image/a8d3539cf677768f5fae2bbd5e994849.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Dr. Vijoy Pandey returns to the show to talk to Jon Krohn about Cisco’s work to advance medicine and mitigate the impact of climate change with distributed artificial super-intelligence. Dr. Vijoy Pandey believes in a future where humans and AI agents work together to tackle our biggest challenges. For this to happen, we will need to have multi-agent systems and open-source platforms that let agents work together, avoiding the phenomenon of AI agents being “isolated geniuses” unable to collaborate. He elaborates on what Cisco is doing to close this gap.



This episode is brought to you by the⁠ ⁠⁠Dell⁠⁠⁠, by⁠ ⁠⁠Intel⁠⁠⁠, by ⁠Fabi⁠ and by ⁠⁠⁠⁠Scaylor⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/961⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (03:55) A definition of artificial super-intelligence       	

  (14:03) Distributed learning through Cisco’s Outshift  	

  (21:29) The semantic protocols for sharing intent in a distributed artificial super-intelligence framework

  (37:44) The cognitive memory fabric of the distributed artificial super-intelligence framework

  (46:24) Using cognitive engines as part of the distributed artificial super-intelligence framework</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Dr. Vijoy Pandey returns to the show to talk to Jon Krohn about Cisco’s work to advance medicine and mitigate the impact of climate change with distributed artificial super-intelligence. Dr. Vijoy Pandey believes in a future where humans and AI agents work together to tackle our biggest challenges. For this to happen, we will need to have multi-agent systems and open-source platforms that let agents work together, avoiding the phenomenon of AI agents being “isolated geniuses” unable to collaborate. He elaborates on what Cisco is doing to close this gap.</p>
<p><br></p>
<p>This episode is brought to you by the<a href="http://www.dell.com/dellproaistudio">⁠ <u>⁠⁠Dell⁠⁠</u>⁠</a>, by<a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand">⁠ <u>⁠⁠Intel⁠⁠</u>⁠</a>, by <a href="https://www.fabi.ai/">⁠<u>Fabi</u>⁠</a> and by <a href="https://agntcy.org/">⁠</a><a href="http://gurobi.com/learn"><u>⁠⁠⁠</u></a><a href="https://www.scaylor.com/">Scaylor⁠</a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/961">www.superdatascience.com/961⁠⁠</a>⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>(03:55) A definition of artificial super-intelligence       	</li>
  <li>(14:03) Distributed learning through Cisco’s Outshift  	</li>
  <li>(21:29) The semantic protocols for sharing intent in a distributed artificial super-intelligence framework</li>
  <li>(37:44) The cognitive memory fabric of the distributed artificial super-intelligence framework</li>
  <li>(46:24) Using cognitive engines as part of the distributed artificial super-intelligence framework</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4164</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[7b6b6ca6-fa87-11f0-89b4-4750b98972cf]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5017603452.mp3?updated=1769505533" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>960: In Case You Missed It in December 2025</title>
      <description>For 2026’s first episode of In Case You Missed It (ICYMI), Jon Krohn selects 6 clips from December for a wide-ranging look at the current state of AI in business and beyond. Hear from Joel Beasley (Episode 945), Jeff Li (Episode 947), Sandy Pentland (Episode 949), Josh Clemm (Episode 951), Penelope LaFeuille (Episode 952), and John Roese (Episode 953) on ensuring your AI systems get adopted and succeed in their goals, interesting ways to use AI for standup comedy routines, and more.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/960⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 23 Jan 2026 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/98e64654-f774-11f0-9084-aff47dde3562/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>For 2026’s first episode of In Case You Missed It (ICYMI), Jon Krohn selects 6 clips from December for a wide-ranging look at the current state of AI in business and beyond. Hear from Joel Beasley (Episode 945), Jeff Li (Episode 947), Sandy Pentland (Episode 949), Josh Clemm (Episode 951), Penelope LaFeuille (Episode 952), and John Roese (Episode 953) on ensuring your AI systems get adopted and succeed in their goals, interesting ways to use AI for standup comedy routines, and more.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/960⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>For 2026’s first episode of In Case You Missed It (ICYMI), Jon Krohn selects 6 clips from December for a wide-ranging look at the current state of AI in business and beyond. Hear from Joel Beasley (Episode 945), Jeff Li (Episode 947), Sandy Pentland (Episode 949), Josh Clemm (Episode 951), Penelope LaFeuille (Episode 952), and John Roese (Episode 953) on ensuring your AI systems get adopted and succeed in their goals, interesting ways to use AI for standup comedy routines, and more.</p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/960">www.superdatascience.com/960⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2445</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[98e64654-f774-11f0-9084-aff47dde3562]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8993215967.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>959: Building Agents 101: Design Patterns, Evals and Optimization (with Sinan Ozdemir)</title>
      <description>AI entrepreneur and bestselling author Sinan Ozdemir speaks to Jon Krohn about the practical differences between agentic AI and AI workflows, why evaluating accuracy on its own won’t tell you enough about AI models, and more about his latest book Building Agentic AI. 



This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Fabi and by Cisco.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/959⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (04:57) Exploring the differences between workflows and agents

  (17:03) How to work out parameter count for a given task

  (25:26) The best way to evaluate LLMs

  (33:12) How to run hybrid workflow + agentic projects effectively</description>
      <pubDate>Tue, 20 Jan 2026 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a888dba0-f510-11f0-ac84-27458faa32ca/image/a0bb113e041eb681eca124cdeef047f4.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>AI entrepreneur and bestselling author Sinan Ozdemir speaks to Jon Krohn about the practical differences between agentic AI and AI workflows, why evaluating accuracy on its own won’t tell you enough about AI models, and more about his latest book Building Agentic AI. 



This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Fabi and by Cisco.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/959⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (04:57) Exploring the differences between workflows and agents

  (17:03) How to work out parameter count for a given task

  (25:26) The best way to evaluate LLMs

  (33:12) How to run hybrid workflow + agentic projects effectively</itunes:summary>
      <content:encoded>
        <![CDATA[<p>AI entrepreneur and bestselling author Sinan Ozdemir speaks to Jon Krohn about the practical differences between agentic AI and AI workflows, why evaluating accuracy on its own won’t tell you enough about AI models, and more about his latest book Building Agentic AI. </p>
<p><br></p>
<p>This episode is brought to you by the<a href="http://www.dell.com/dellproaistudio"> <u>⁠⁠Dell⁠⁠</u></a>, by<a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand"> <u>⁠⁠Intel⁠⁠</u></a>, by <a href="https://www.fabi.ai/"><u>Fabi</u></a> and by <a href="https://agntcy.org/"><u>Cisco</u></a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/959">www.superdatascience.com/959⁠</a>⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>(04:57) Exploring the differences between workflows and agents</li>
  <li>(17:03) How to work out parameter count for a given task</li>
  <li>(25:26) The best way to evaluate LLMs</li>
  <li>(33:12) How to run hybrid workflow + agentic projects effectively</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>3889</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[a888dba0-f510-11f0-ac84-27458faa32ca]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4240128967.mp3?updated=1768895448" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>958: Without Trusted Context, Agents are Stupid (featuring Salesforce’s Rahul Auradkar)</title>
      <description>In this #sponsored Feature Friday episode, Salesforce’s Rahul Auradkar speaks to Jon Krohn about the company’s unified data engine and how its acquisition of Informatica provides the missing context layer for AI models and agents. Hear how Salesforce’s Data 360 helps customers to get accurate and insightful information about their business, and what AI models need to benefit a company’s bottom line (hint: it’s not only large amounts of data!)

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/958⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 16 Jan 2026 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c6aed626-f13b-11f0-a78d-b30489647cfc/image/451a56c2df43e7ecb8ee5265f704bb62.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this #sponsored Feature Friday episode, Salesforce’s Rahul Auradkar speaks to Jon Krohn about the company’s unified data engine and how its acquisition of Informatica provides the missing context layer for AI models and agents. Hear how Salesforce’s Data 360 helps customers to get accurate and insightful information about their business, and what AI models need to benefit a company’s bottom line (hint: it’s not only large amounts of data!)

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/958⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this #sponsored Feature Friday episode, Salesforce’s Rahul Auradkar speaks to Jon Krohn about the company’s unified data engine and how its acquisition of Informatica provides the missing context layer for AI models and agents. Hear how Salesforce’s Data 360 helps customers to get accurate and insightful information about their business, and what AI models need to benefit a company’s bottom line (hint: it’s not only large amounts of data!)</p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/958">www.superdatascience.com/958</a>⁠⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1439</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[c6aed626-f13b-11f0-a78d-b30489647cfc]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6591412357.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>957: How AI Agents Are Automating Enterprise Data Operations, with Ashwin Rajeeva</title>
      <description>AI agents, data lakes, and managing data sprawl: Ashwin Rajeeva, cofounder and CTO of Acceldata, speaks to Jon Krohn about how the agentic data management startup raised over $100 million in venture capital to expand its business in automating data quality assurance as well as cataloguing and pipeline maintenance across enterprise environments. Acceldata utilizes multiple agents to solve enterprise-grade questions with company data. It also uses autonomous data pipelines that can detect and fix issues without human intervention, and the platform’s agentic data management system ADM also lets humans stay in the loop wherever needed. 



This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Fabi and by Cisco.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/957⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (03:25) About Acceldata and xLake

  (15:03) Autonomous data pipelines

  (21:02) How and when to keep humans in the AI loop

  (27:43) How Acceldata solves ‘data sprawl’

  (31:53) Habits of successful tech leaders</description>
      <pubDate>Tue, 13 Jan 2026 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8b91c802-efa9-11f0-a3fe-1b2f9f19aba6/image/d5a31f02ce3219cc77c510a8d69adebe.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>AI agents, data lakes, and managing data sprawl: Ashwin Rajeeva, cofounder and CTO of Acceldata, speaks to Jon Krohn about how the agentic data management startup raised over $100 million in venture capital to expand its business in automating data quality assurance as well as cataloguing and pipeline maintenance across enterprise environments. Acceldata utilizes multiple agents to solve enterprise-grade questions with company data. It also uses autonomous data pipelines that can detect and fix issues without human intervention, and the platform’s agentic data management system ADM also lets humans stay in the loop wherever needed. 



This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Fabi and by Cisco.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/957⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (03:25) About Acceldata and xLake

  (15:03) Autonomous data pipelines

  (21:02) How and when to keep humans in the AI loop

  (27:43) How Acceldata solves ‘data sprawl’

  (31:53) Habits of successful tech leaders</itunes:summary>
      <content:encoded>
        <![CDATA[<p>AI agents, data lakes, and managing data sprawl: Ashwin Rajeeva, cofounder and CTO of Acceldata, speaks to Jon Krohn about how the agentic data management startup raised over $100 million in venture capital to expand its business in automating data quality assurance as well as cataloguing and pipeline maintenance across enterprise environments. Acceldata utilizes multiple agents to solve enterprise-grade questions with company data. It also uses autonomous data pipelines that can detect and fix issues without human intervention, and the platform’s agentic data management system ADM also lets humans stay in the loop wherever needed. </p>
<p><br></p>
<p>This episode is brought to you by the<a href="http://www.dell.com/dellproaistudio"> <u>⁠⁠Dell⁠⁠</u></a>, by<a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand"> <u>⁠⁠Intel⁠⁠</u></a>, by <a href="https://www.fabi.ai/"><u>Fabi</u></a> and by <a href="https://agntcy.org/"><u>Cisco</u></a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/957">www.superdatascience.com/957</a>⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>(03:25) About Acceldata and xLake</li>
  <li>(15:03) Autonomous data pipelines</li>
  <li>(21:02) How and when to keep humans in the AI loop</li>
  <li>(27:43) How Acceldata solves ‘data sprawl’</li>
  <li>(31:53) Habits of successful tech leaders</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>3576</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[8b91c802-efa9-11f0-a3fe-1b2f9f19aba6]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2979117351.mp3?updated=1768290245" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>956: From Agent Demo to Enterprise Product (with Ease!) feat. Salesforce’s Tyler Carlson</title>
      <description>#Sponsored SVP, Head of Product for Salesforce’s AppExchange &amp; Ecosystem, Tyler Carlson, talks to Jon Krohn about taking AI agents from prototype to enterprise-grade production with the Agentforce 360 Platform. Though we may now have plenty of tools to build demos for AI agents, most teams still struggle to turn early prototypes into secure and scalable products. With Salesforce’s Agentforce 360 Platform, users can build customer-focused agentic applications with a multi-LLM planner service for reasoning and logic, as well as a new scripting language for deterministic control over how agents interact with the contextual layer of the Salesforce data model. Learn how Salesforce’s WYSIWYG schema builder helps customers build fully functional applications with low- and pro-code capabilities, the common mistakes that innovators make when moving from prototype to production, and whether AI agents might replace non-agentic AI applications in this Feature Friday.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/956⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 09 Jan 2026 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7f10b170-e72e-11f0-b37c-67c95c2379b7/image/37fec48b35dd585a85e4710ac0804303.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>#Sponsored SVP, Head of Product for Salesforce’s AppExchange &amp; Ecosystem, Tyler Carlson, talks to Jon Krohn about taking AI agents from prototype to enterprise-grade production with the Agentforce 360 Platform. Though we may now have plenty of tools to build demos for AI agents, most teams still struggle to turn early prototypes into secure and scalable products. With Salesforce’s Agentforce 360 Platform, users can build customer-focused agentic applications with a multi-LLM planner service for reasoning and logic, as well as a new scripting language for deterministic control over how agents interact with the contextual layer of the Salesforce data model. Learn how Salesforce’s WYSIWYG schema builder helps customers build fully functional applications with low- and pro-code capabilities, the common mistakes that innovators make when moving from prototype to production, and whether AI agents might replace non-agentic AI applications in this Feature Friday.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/956⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>#Sponsored SVP, Head of Product for Salesforce’s AppExchange &amp; Ecosystem, Tyler Carlson, talks to Jon Krohn about taking AI agents from prototype to enterprise-grade production with the Agentforce 360 Platform. Though we may now have plenty of tools to build demos for AI agents, most teams still struggle to turn early prototypes into secure and scalable products. With Salesforce’s Agentforce 360 Platform, users can build customer-focused agentic applications with a multi-LLM planner service for reasoning and logic, as well as a new scripting language for deterministic control over how agents interact with the contextual layer of the Salesforce data model. Learn how Salesforce’s WYSIWYG schema builder helps customers build fully functional applications with low- and pro-code capabilities, the common mistakes that innovators make when moving from prototype to production, and whether AI agents might replace non-agentic AI applications in this Feature Friday.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/956">⁠www.superdatascience.com/956⁠⁠</a>⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1588</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[7f10b170-e72e-11f0-b37c-67c95c2379b7]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7934308298.mp3?updated=1767873927" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>955: Nested Learning, Spatial Intelligence and the AI Trends of 2026, with Sadie St. Lawrence</title>
      <description>Sadie St Lawrence joins Jon Krohn to discuss what to expect from the AI industry in 2026. Sadie and Jon talk through what they think will be the five biggest trends in AI, hand out awards for the best moments, comebacks, and disappointments in AI in 2025, and review how their predictions for 2025 played out. Hear Sadie’s five exciting predictions for 2026, from emerging jobs in AI to an important return to the drawing board!



This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Fabi and by MongoDB.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/955⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:      


  (11:36) Recapping Sadie and Jon’s predictions for 2025                      	

  (26:54) The SuperDataScience Awards in AI                                        	

  (49:05) Prediction #1 for AI in 2026                                             	

  (52:13) Prediction #2 for AI in 2026                         	 

  (53:33) Prediction #3 for AI in 2026

  (57:54) Prediction #4 for AI in 2026                         	

  (1:01:01) Prediction #5 for AI in 2026 </description>
      <pubDate>Tue, 06 Jan 2026 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/bd9509e4-e4ab-11f0-bead-57c54f25cfe3/image/38fa1c1339f9640bda326732ff96ce7b.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Sadie St Lawrence joins Jon Krohn to discuss what to expect from the AI industry in 2026. Sadie and Jon talk through what they think will be the five biggest trends in AI, hand out awards for the best moments, comebacks, and disappointments in AI in 2025, and review how their predictions for 2025 played out. Hear Sadie’s five exciting predictions for 2026, from emerging jobs in AI to an important return to the drawing board!



This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Fabi and by MongoDB.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/955⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:      


  (11:36) Recapping Sadie and Jon’s predictions for 2025                      	

  (26:54) The SuperDataScience Awards in AI                                        	

  (49:05) Prediction #1 for AI in 2026                                             	

  (52:13) Prediction #2 for AI in 2026                         	 

  (53:33) Prediction #3 for AI in 2026

  (57:54) Prediction #4 for AI in 2026                         	

  (1:01:01) Prediction #5 for AI in 2026 </itunes:summary>
      <content:encoded>
        <![CDATA[<p>Sadie St Lawrence joins Jon Krohn to discuss what to expect from the AI industry in 2026. Sadie and Jon talk through what they think will be the five biggest trends in AI, hand out awards for the best moments, comebacks, and disappointments in AI in 2025, and review how their predictions for 2025 played out. Hear Sadie’s five exciting predictions for 2026, from emerging jobs in AI to an important return to the drawing board!</p>
<p><br></p>
<p>This episode is brought to you by the<a href="http://www.dell.com/dellproaistudio"> <u>⁠⁠Dell⁠⁠</u></a>, by<a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand"> <u>⁠⁠Intel⁠⁠</u></a>, by <a href="https://www.fabi.ai/"><u>Fabi</u></a> and by<a href="https://fandf.co/4pA2dBO"><u> MongoDB</u></a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/955">www.superdatascience.com/955⁠⁠</a>⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:      </p>
<ul>
  <li>(11:36) Recapping Sadie and Jon’s predictions for 2025                      	</li>
  <li>(26:54) The SuperDataScience Awards in AI                                        	</li>
  <li>(49:05) Prediction #1 for AI in 2026                                             	</li>
  <li>(52:13) Prediction #2 for AI in 2026                         	 </li>
  <li>(53:33) Prediction #3 for AI in 2026</li>
  <li>(57:54) Prediction #4 for AI in 2026                         	</li>
  <li>(1:01:01) Prediction #5 for AI in 2026  <br>
</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4131</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[bd9509e4-e4ab-11f0-bead-57c54f25cfe3]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9968335619.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>954: Recap of 2025 and Wishing You a Wonderful 2026</title>
      <description>Jon Krohn wraps up 2025 with his thoughts on how agentic AI has become as much a resounding success as an annoying buzzword for many in the tech industry, why such promising developments in generative AI mean that well-prepared, secured data will be ever more crucial, and Jon’s hopes for a better year for everyone across the world in 2026. 

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/954⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 02 Jan 2026 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/d8995d64-e599-11f0-b2ae-47553a4a3cae/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Jon Krohn wraps up 2025 with his thoughts on how agentic AI has become as much a resounding success as an annoying buzzword for many in the tech industry, why such promising developments in generative AI mean that well-prepared, secured data will be ever more crucial, and Jon’s hopes for a better year for everyone across the world in 2026. 

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/954⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn wraps up 2025 with his thoughts on how agentic AI has become as much a resounding success as an annoying buzzword for many in the tech industry, why such promising developments in generative AI mean that well-prepared, secured data will be ever more crucial, and Jon’s hopes for a better year for everyone across the world in 2026. </p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/954">www.superdatascience.com/954</a>⁠⁠⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>256</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[d8995d64-e599-11f0-b2ae-47553a4a3cae]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6712867541.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>953: Beyond “Agent Washing”: AI Systems That Actually Deliver ROI, with Dell’s Global CTO John Roese</title>
      <description>Dell Technologies’ John Roese talks to Jon Krohn about the phenomenon of “agent-washing”, his contribution to Dell’s incredible revenue boost in 2025, and why “knowledge layers” will be crucial to future tech. Hear also John’s predictions for where AI is going to lead us in 2026, from better, clearer governance, data management methods and definitions for agentic AI, to systems that keep AI tools and our data running and secure with the help of “AI factories” and “sovereign AI”. 



This episode is brought to you by MongoDB and by Y Carrot.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/953⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:    


  (01:31) John Roese’s predictions for AI in 2026

  (11:28) How John increased ROI at Dell Technologies

  (18:59) John’s predictions for AI in 2026

  (40:13) How Dell’s clients are using AI factories</description>
      <pubDate>Tue, 30 Dec 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c83547c4-e4b0-11f0-9be6-4b45636930e5/image/b1e6f77562b0babaaf5b9f59ac25a44e.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Dell Technologies’ John Roese talks to Jon Krohn about the phenomenon of “agent-washing”, his contribution to Dell’s incredible revenue boost in 2025, and why “knowledge layers” will be crucial to future tech. Hear also John’s predictions for where AI is going to lead us in 2026, from better, clearer governance, data management methods and definitions for agentic AI, to systems that keep AI tools and our data running and secure with the help of “AI factories” and “sovereign AI”. 



This episode is brought to you by MongoDB and by Y Carrot.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/953⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:    


  (01:31) John Roese’s predictions for AI in 2026

  (11:28) How John increased ROI at Dell Technologies

  (18:59) John’s predictions for AI in 2026

  (40:13) How Dell’s clients are using AI factories</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Dell Technologies’ John Roese talks to Jon Krohn about the phenomenon of “agent-washing”, his contribution to Dell’s incredible revenue boost in 2025, and why “knowledge layers” will be crucial to future tech. Hear also John’s predictions for where AI is going to lead us in 2026, from better, clearer governance, data management methods and definitions for agentic AI, to systems that keep AI tools and our data running and secure with the help of “AI factories” and “sovereign AI”. </p>
<p><br></p>
<p>This episode is brought to you by <a href="https://fandf.co/4pA2dBO"><u>MongoDB</u></a> and by <a href="https://www.ycarrot.com/"><u>Y Carrot</u></a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/953">www.superdatascience.com/953⁠⁠⁠</a>⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:    </p>
<ul>
  <li>(01:31) John Roese’s predictions for AI in 2026</li>
  <li>(11:28) How John increased ROI at Dell Technologies</li>
  <li>(18:59) John’s predictions for AI in 2026</li>
  <li>(40:13) How Dell’s clients are using AI factories</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>3037</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[c83547c4-e4b0-11f0-9be6-4b45636930e5]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8877925822.mp3?updated=1767088392" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>952: How to Avoid Burnout and Get Promoted, with “The Fit Data Scientist” Penelope Lafeuille</title>
      <description>“The Fit Data Scientist” newsletter author Pénélope Lafeuille talks to Jon Krohn about how to give your all at work, offering her top tips for a healthy body and a healthy mind. Learn why “The SuperDataScience Podcast” made it onto her top 3 data science podcasts, and why following your passion can pay off in dividends for your career.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/952⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 26 Dec 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4a1936aa-e228-11f0-89c9-b7f88ce98814/image/7b8cf8db74da55e35bc98f9d077c7c9d.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>“The Fit Data Scientist” newsletter author Pénélope Lafeuille talks to Jon Krohn about how to give your all at work, offering her top tips for a healthy body and a healthy mind. Learn why “The SuperDataScience Podcast” made it onto her top 3 data science podcasts, and why following your passion can pay off in dividends for your career.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/952⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>“The Fit Data Scientist” newsletter author Pénélope Lafeuille talks to Jon Krohn about how to give your all at work, offering her top tips for a healthy body and a healthy mind. Learn why “The SuperDataScience Podcast” made it onto her top 3 data science podcasts, and why following your passion can pay off in dividends for your career.</p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/952">www.superdatascience.com/952⁠</a>⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1835</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[4a1936aa-e228-11f0-89c9-b7f88ce98814]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9765763719.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>951: Context Engineering, Multiplayer AI and Effective Search, with Dropbox’s Josh Clemm</title>
      <description>VP of Engineering at Dropbox Josh Clemm speaks to Jon Krohn about consolidating search tools across apps with the AI-powered workspace, Dropbox Dash, the new collaborative AI systems that enhance interoperability between team members and their projects, and how to avoid “context rot”. Dropbox Dash gives users the best of Dropbox’s cloud storage and search functions, plus a “universal search” ability to locate information across multimedia and apps. “AI really needs to understand you and your team, first and foremost, and all that connected data,” says Josh.

This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Airia and by MongoDB.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/951⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:     


  (01:07) All about Dropbox Dash

  (10:00) The benefits of browser-embedded AI

  (22:17) Why context engineering is so critical to agentic systems 

  (37:51) How creating apps helps tech leadership   

  (48:39) When to decide to use data versus intuition</description>
      <pubDate>Tue, 23 Dec 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3577e552-df26-11f0-8e7b-9b89cdb4d35f/image/74a4d167f5923f79f716ae57f0d101d1.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>VP of Engineering at Dropbox Josh Clemm speaks to Jon Krohn about consolidating search tools across apps with the AI-powered workspace, Dropbox Dash, the new collaborative AI systems that enhance interoperability between team members and their projects, and how to avoid “context rot”. Dropbox Dash gives users the best of Dropbox’s cloud storage and search functions, plus a “universal search” ability to locate information across multimedia and apps. “AI really needs to understand you and your team, first and foremost, and all that connected data,” says Josh.

This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Airia and by MongoDB.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/951⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:     


  (01:07) All about Dropbox Dash

  (10:00) The benefits of browser-embedded AI

  (22:17) Why context engineering is so critical to agentic systems 

  (37:51) How creating apps helps tech leadership   

  (48:39) When to decide to use data versus intuition</itunes:summary>
      <content:encoded>
        <![CDATA[<p>VP of Engineering at Dropbox Josh Clemm speaks to Jon Krohn about consolidating search tools across apps with the AI-powered workspace, Dropbox Dash, the new collaborative AI systems that enhance interoperability between team members and their projects, and how to avoid “context rot”. Dropbox Dash gives users the best of Dropbox’s cloud storage and search functions, plus a “universal search” ability to locate information across multimedia and apps. “AI really needs to understand you and your team, first and foremost, and all that connected data,” says Josh.</p>
<p><br>This episode is brought to you by the<a href="https://aws.amazon.com/ai/machine-learning/trainium/"> </a><a href="http://www.dell.com/dellproaistudio"><u>⁠⁠Dell⁠⁠</u></a>, by<a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand"> <u>⁠⁠Intel⁠⁠</u></a>, by <a href="https://airia.com/register/?utm_source=super_data_science&amp;utm_medium=podcast&amp;utm_id=q4"><u>Airia</u></a> and by <a href="https://fandf.co/4pA2dBO">MongoDB</a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/951">www.superdatascience.com/951⁠</a>⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:     </p>
<ul>
  <li>(01:07) All about Dropbox Dash</li>
  <li>(10:00) The benefits of browser-embedded AI</li>
  <li>(22:17) Why context engineering is so critical to agentic systems </li>
  <li>(37:51) How creating apps helps tech leadership   </li>
  <li>(48:39) When to decide to use data versus intuition</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>3604</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[3577e552-df26-11f0-8e7b-9b89cdb4d35f]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2706861084.mp3?updated=1766483806" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>950: Happy Holidays from All of Us at the SuperDataScience Podcast</title>
      <description>In this special holiday episode, the SuperDataScience Podcast team comes together to wish you happy holidays and thank you for listening throughout the year. Team members from around the world share warm greetings in their own voices and languages as we reflect on another year of learning, curiosity, and community. From all of us at SDS, we wish you a joyful holiday season and look forward to bringing you more data science, machine learning, and AI content in the year ahead.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/950⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 19 Dec 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/efd6c058-dcab-11f0-8f75-b3c350768151/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this special holiday episode, the SuperDataScience Podcast team comes together to wish you happy holidays and thank you for listening throughout the year. Team members from around the world share warm greetings in their own voices and languages as we reflect on another year of learning, curiosity, and community. From all of us at SDS, we wish you a joyful holiday season and look forward to bringing you more data science, machine learning, and AI content in the year ahead.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/950⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this special holiday episode, the SuperDataScience Podcast team comes together to wish you happy holidays and thank you for listening throughout the year. Team members from around the world share warm greetings in their own voices and languages as we reflect on another year of learning, curiosity, and community. From all of us at SDS, we wish you a joyful holiday season and look forward to bringing you more data science, machine learning, and AI content in the year ahead.</p>
<p><br>Additional materials: <a href="https://www.superdatascience.com/950">⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/950⁠</a>⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>119</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[efd6c058-dcab-11f0-8f75-b3c350768151]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7913215039.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>949: Why AI Keeps Failing Society, with Stanford professor Alex “Sandy” Pentland</title>
      <description>Alex “Sandy” Pentland, Toshiba Professor of Media Arts &amp; Science at MIT and Fellow at Stanford, speaks to Jon Krohn about his new book, Shared Wisdom, why he attributes AI to the collapse of the Soviet Union, and why those risks to society could still be relevant today. We can only achieve better system performance, Alex says, when we build tools that keep step with the way that people make decisions. Listen to the episode to hear Alex talk about how he is helping make AI agents work for individuals rather than the companies that develop them, and his work in making sure that systems operate consistently and fairly across the world.



This episode is brought to you by the⁠ ⁠⁠⁠⁠Dell⁠⁠⁠, by⁠ ⁠⁠Intel⁠⁠⁠, by ⁠Fabi⁠, and by ⁠Airia⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/949⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:         


  (02:19) About Alex Pentland’s new book, Shared Wisdom                     	

  (16:00) About loyalagents.org

  (28:36) Why we need data unions

  (34:02) The governance of AI

  (41:24) How to measure the social impact of AI projects</description>
      <pubDate>Tue, 16 Dec 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/01b3c87a-d9aa-11f0-8b7b-4b70029253f8/image/728e35c394076204dc34866bf42761d0.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Alex “Sandy” Pentland, Toshiba Professor of Media Arts &amp; Science at MIT and Fellow at Stanford, speaks to Jon Krohn about his new book, Shared Wisdom, why he attributes AI to the collapse of the Soviet Union, and why those risks to society could still be relevant today. We can only achieve better system performance, Alex says, when we build tools that keep step with the way that people make decisions. Listen to the episode to hear Alex talk about how he is helping make AI agents work for individuals rather than the companies that develop them, and his work in making sure that systems operate consistently and fairly across the world.



This episode is brought to you by the⁠ ⁠⁠⁠⁠Dell⁠⁠⁠, by⁠ ⁠⁠Intel⁠⁠⁠, by ⁠Fabi⁠, and by ⁠Airia⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/949⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:         


  (02:19) About Alex Pentland’s new book, Shared Wisdom                     	

  (16:00) About loyalagents.org

  (28:36) Why we need data unions

  (34:02) The governance of AI

  (41:24) How to measure the social impact of AI projects</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Alex “Sandy” Pentland, Toshiba Professor of Media Arts &amp; Science at MIT and Fellow at Stanford, speaks to Jon Krohn about his new book, Shared Wisdom, why he attributes AI to the collapse of the Soviet Union, and why those risks to society could still be relevant today. We can only achieve better system performance, Alex says, when we build tools that keep step with the way that people make decisions. Listen to the episode to hear Alex talk about how he is helping make AI agents work for individuals rather than the companies that develop them, and his work in making sure that systems operate consistently and fairly across the world.</p>
<p><br></p>
<p>This episode is brought to you by the<a href="https://aws.amazon.com/ai/machine-learning/trainium/">⁠ ⁠</a><a href="http://www.dell.com/dellproaistudio">⁠<u>⁠⁠Dell⁠⁠</u>⁠</a>, by<a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand">⁠ <u>⁠⁠Intel⁠⁠</u>⁠</a>, by <a href="https://www.fabi.ai/">⁠<u>Fabi</u>⁠</a>, and by <a href="https://airia.com/register/?utm_source=super_data_science&amp;utm_medium=podcast&amp;utm_id=q4">⁠<u>Airia</u>⁠</a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/949">⁠www.superdatascience.com/949⁠⁠⁠</a>⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:         </p>
<ul>
  <li>(02:19) About Alex Pentland’s new book, <em>Shared Wisdom</em>                     	</li>
  <li>(16:00) About loyalagents.org</li>
  <li>(28:36) Why we need data unions</li>
  <li>(34:02) The governance of AI</li>
  <li>(41:24) How to measure the social impact of AI projects</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>3328</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[01b3c87a-d9aa-11f0-8b7b-4b70029253f8]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3364951836.mp3?updated=1765884033" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title> 948: In Case You Missed It in November 2025  </title>
      <description>In this November episode of “In Case You Missed It” series, Jon Krohn selects his favorite clips from the month. Hear from Shirish Gupta and Tyler Cox (Episode 939), Vikoy Pandey (Episode 941), Marc Dupuis (Episode 937), and Maya Ackerman (Episode 943) on getting back to human motivation and the importance of evaluating the tools and data we use. 



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/948⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 12 Dec 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9e66247e-d680-11f0-aad9-4bd0956e5dcf/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this November episode of “In Case You Missed It” series, Jon Krohn selects his favorite clips from the month. Hear from Shirish Gupta and Tyler Cox (Episode 939), Vikoy Pandey (Episode 941), Marc Dupuis (Episode 937), and Maya Ackerman (Episode 943) on getting back to human motivation and the importance of evaluating the tools and data we use. 



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/948⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this November episode of “In Case You Missed It” series, Jon Krohn selects his favorite clips from the month. Hear from Shirish Gupta and Tyler Cox (Episode 939), Vikoy Pandey (Episode 941), Marc Dupuis (Episode 937), and Maya Ackerman (Episode 943) on getting back to human motivation and the importance of evaluating the tools and data we use. </p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/948">⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/948⁠⁠⁠⁠⁠⁠⁠⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1747</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[9e66247e-d680-11f0-aad9-4bd0956e5dcf]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1152555258.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>947: How to Get Hired at Top Firms like Netflix and Spotify, with Jeff Li</title>
      <description>Jeff Li tells Jon Krohn what it's like to work at scale as a data scientist and a machine learning engineer at Netflix, Spotify and DoorDash, as well as how to get a foot in the door at these companies. Jeff also discusses how to run forecasts and trends, and how to read their results. Listen to hear Jeff Li discuss how Spotify became a podcast powerhouse, his startup move.ai, and the tools he uses every day.

This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Fabi, and by Airia.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/947⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:       


  (09:05) Forecasting in data science          	     	 

  (23:33) How to get a data science job at Netflix 	     	

  (30:06) Jeff’s experience on launching an AI startup    	 

  (51:57) Jeff’s AI toolkit                                  </description>
      <pubDate>Tue, 09 Dec 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/78e52588-d423-11f0-89e8-df2d627fafd6/image/4d186273b58613bb7ecb3b025addd98d.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Jeff Li tells Jon Krohn what it's like to work at scale as a data scientist and a machine learning engineer at Netflix, Spotify and DoorDash, as well as how to get a foot in the door at these companies. Jeff also discusses how to run forecasts and trends, and how to read their results. Listen to hear Jeff Li discuss how Spotify became a podcast powerhouse, his startup move.ai, and the tools he uses every day.

This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Fabi, and by Airia.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/947⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:       


  (09:05) Forecasting in data science          	     	 

  (23:33) How to get a data science job at Netflix 	     	

  (30:06) Jeff’s experience on launching an AI startup    	 

  (51:57) Jeff’s AI toolkit                                  </itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jeff Li tells Jon Krohn what it's like to work at scale as a data scientist and a machine learning engineer at Netflix, Spotify and DoorDash, as well as how to get a foot in the door at these companies. Jeff also discusses how to run forecasts and trends, and how to read their results. Listen to hear Jeff Li discuss how Spotify became a podcast powerhouse, his startup move.ai, and the tools he uses every day.</p>
<p><br>This episode is brought to you by the<a href="https://aws.amazon.com/ai/machine-learning/trainium/"> </a><a href="http://www.dell.com/dellproaistudio"><u>⁠⁠Dell⁠⁠</u></a>, by<a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand"> <u>⁠⁠Intel⁠⁠</u></a>, by <a href="https://www.fabi.ai/"><u>Fabi</u></a>, and by <a href="https://airia.com/register/?utm_source=super_data_science&amp;utm_medium=podcast&amp;utm_id=q4"><u>Airia</u></a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/947">www.superdatascience.com/947⁠⁠</a>⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:       </p>
<ul>
  <li>(09:05) Forecasting in data science          	     	 </li>
  <li>(23:33) How to get a data science job at Netflix 	     	</li>
  <li>(30:06) Jeff’s experience on launching an AI startup    	 </li>
  <li>(51:57) Jeff’s AI toolkit                                   	</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4172</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[78e52588-d423-11f0-89e8-df2d627fafd6]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7180210755.mp3?updated=1765274247" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>946: How Robotaxis Are Transforming Cities</title>
      <description>Jon Krohn looks into the benefits of robotaxis, from safety to affordability, in this Five-Minute Friday. Hear about Waymo’s partnership with Jaguar Land Rover, the latest safety studies concerning driverless vehicles, and a case for robotaxis becoming the preferred method of transport in the US, where households spend roughly 15% of their budget on vehicle ownership.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/946⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 05 Dec 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/153920d4-d1b7-11f0-bab9-b3c5545722c0/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Jon Krohn looks into the benefits of robotaxis, from safety to affordability, in this Five-Minute Friday. Hear about Waymo’s partnership with Jaguar Land Rover, the latest safety studies concerning driverless vehicles, and a case for robotaxis becoming the preferred method of transport in the US, where households spend roughly 15% of their budget on vehicle ownership.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/946⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn looks into the benefits of robotaxis, from safety to affordability, in this Five-Minute Friday. Hear about Waymo’s partnership with Jaguar Land Rover, the latest safety studies concerning driverless vehicles, and a case for robotaxis becoming the preferred method of transport in the US, where households spend roughly 15% of their budget on vehicle ownership.</p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/946">www.superdatascience.com/946</a>⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>483</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[153920d4-d1b7-11f0-bab9-b3c5545722c0]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1253980206.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>945: AI is a Joke, with Joel Beasley</title>
      <description>Is there humor in data? Joel Beasley, host of Modern CTO, tells Jon Krohn how he used AI to turn his sights to stand-up comedy. He also shares his tips on tech leadership that he learned from his popular podcast, Modern CTO, and how he is using generative AI as a collaborative partner in his creative work.



This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Fabi, and by Gurobi⁠⁠⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/945⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:       


  (02:14) Joel Beasley on his comedy career

  (19:04) Applying the ‘memory palace’ technique

  (22:28) About The Modern CTO Podcast

  (36:24) Leadership advice from The Modern CTO</description>
      <pubDate>Tue, 02 Dec 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/65fea6a4-cea3-11f0-a51d-678460b4ab9e/image/2f68ded4265c60e13a977828bd89fb20.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Is there humor in data? Joel Beasley, host of Modern CTO, tells Jon Krohn how he used AI to turn his sights to stand-up comedy. He also shares his tips on tech leadership that he learned from his popular podcast, Modern CTO, and how he is using generative AI as a collaborative partner in his creative work.



This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Fabi, and by Gurobi⁠⁠⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/945⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:       


  (02:14) Joel Beasley on his comedy career

  (19:04) Applying the ‘memory palace’ technique

  (22:28) About The Modern CTO Podcast

  (36:24) Leadership advice from The Modern CTO</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Is there humor in data? Joel Beasley, host of Modern CTO, tells Jon Krohn how he used AI to turn his sights to stand-up comedy. He also shares his tips on tech leadership that he learned from his popular podcast, Modern CTO, and how he is using generative AI as a collaborative partner in his creative work.</p>
<p><br></p>
<p>This episode is brought to you by the<a href="https://aws.amazon.com/ai/machine-learning/trainium/"> </a><a href="http://www.dell.com/dellproaistudio"><u>⁠⁠Dell⁠⁠</u></a>, by<a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand"> <u>⁠⁠Intel⁠⁠</u></a>, by <a href="https://www.fabi.ai/"><u>Fabi</u></a>, and by <a href="http://gurobi.com/learn"><u>Gurobi⁠⁠⁠</u></a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/945">www.superdatascience.com/945⁠</a>⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:       </p>
<ul>
  <li>(02:14) Joel Beasley on his comedy career</li>
  <li>(19:04) Applying the ‘memory palace’ technique</li>
  <li>(22:28) About The Modern CTO Podcast</li>
  <li>(36:24) Leadership advice from The Modern CTO</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>3371</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[65fea6a4-cea3-11f0-a51d-678460b4ab9e]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3675309879.mp3?updated=1764613772" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>944: Gemini 3 Pro: Google’s Back on Top</title>
      <description>Google is steaming ahead with launching its top-league new Gemini 3 Pro model across their product suite, from Google Search to Vertex AI cloud services. The multinational tech company is also letting eager early adopters like Wayfair and GitHub. Get all the detailed data, its performance across hard-to-game industry benchmarks, and what this all means for the way you use generative AI, in this week’s episode.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/944⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 28 Nov 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/856c88a2-cb66-11f0-8964-0b07d880502f/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Google is steaming ahead with launching its top-league new Gemini 3 Pro model across their product suite, from Google Search to Vertex AI cloud services. The multinational tech company is also letting eager early adopters like Wayfair and GitHub. Get all the detailed data, its performance across hard-to-game industry benchmarks, and what this all means for the way you use generative AI, in this week’s episode.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/944⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Google is steaming ahead with launching its top-league new Gemini 3 Pro model across their product suite, from Google Search to Vertex AI cloud services. The multinational tech company is also letting eager early adopters like Wayfair and GitHub. Get all the detailed data, its performance across hard-to-game industry benchmarks, and what this all means for the way you use generative AI, in this week’s episode.</p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/944">www.superdatascience.com/944⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>501</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[856c88a2-cb66-11f0-8964-0b07d880502f]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6970538217.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>943: Creative Machines: AI in Music and Art, with Prof. Maya Ackerman</title>
      <description>Creative human-AI partnerships and AI-generated music: WaveAI CEO and co-founder Maya Ackerman speaks with Jon Krohn about learning to see – and accept – AI’s potential as a creative partner in a human-centric, AI-forward future. Listen to the episode to hear Maya Ackerman discuss reframing hallucination as a creative force, her work at WaveAI, and how to push the boundaries of creativity using generative AI.

This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Gurobi⁠⁠⁠ and by Airia.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/943⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:     


  (05:20) Maya’s challenge to anthropocentrism

  (19:26) How to compose music with AI

  (28:13) How to invest in creative empowerment

  (32:18) How to produce genuinely creative artworks through AI

  (44:58) The future of GenAI</description>
      <pubDate>Tue, 25 Nov 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/057e4834-c91c-11f0-b150-5f5e285015d9/image/24c191f15e73f0a826d4de1b69e2b7c4.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Creative human-AI partnerships and AI-generated music: WaveAI CEO and co-founder Maya Ackerman speaks with Jon Krohn about learning to see – and accept – AI’s potential as a creative partner in a human-centric, AI-forward future. Listen to the episode to hear Maya Ackerman discuss reframing hallucination as a creative force, her work at WaveAI, and how to push the boundaries of creativity using generative AI.

This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Gurobi⁠⁠⁠ and by Airia.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/943⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:     


  (05:20) Maya’s challenge to anthropocentrism

  (19:26) How to compose music with AI

  (28:13) How to invest in creative empowerment

  (32:18) How to produce genuinely creative artworks through AI

  (44:58) The future of GenAI</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Creative human-AI partnerships and AI-generated music: WaveAI CEO and co-founder Maya Ackerman speaks with Jon Krohn about learning to see – and accept – AI’s potential as a creative partner in a human-centric, AI-forward future. Listen to the episode to hear Maya Ackerman discuss reframing hallucination as a creative force, her work at WaveAI, and how to push the boundaries of creativity using generative AI.</p>
<p><br>This episode is brought to you by the<a href="https://aws.amazon.com/ai/machine-learning/trainium/"> </a><a href="http://www.dell.com/dellproaistudio"><u>⁠⁠Dell⁠⁠</u></a>, by<a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand"> <u>⁠⁠Intel⁠⁠</u></a>, by <a href="http://gurobi.com/learn"><u>Gurobi⁠⁠⁠</u></a> and by <a href="https://airia.com/register/?utm_source=super_data_science&amp;utm_medium=podcast&amp;utm_id=q4"><u>Airia</u></a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/943">www.superdatascience.com/943</a>⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:     </p>
<ul>
  <li>(05:20) Maya’s challenge to anthropocentrism</li>
  <li>(19:26) How to compose music with AI</li>
  <li>(28:13) How to invest in creative empowerment</li>
  <li>(32:18) How to produce genuinely creative artworks through AI</li>
  <li>(44:58) The future of GenAI</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>3398</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[057e4834-c91c-11f0-b150-5f5e285015d9]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9316512874.mp3?updated=1764063582" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>942: Odds of AGI by 2040? LEAP Expert Forecasts and Workforce Implications</title>
      <description>What’s on the horizon for AI? Jon Krohn wades through opinions from more than experts, curated by the Longitudinal Expert AI Panel (LEAP), about what we can expect from the industry. From estimates on AI-assisted workers through energy consumption to AI performance in highly skilled domains, find out just how much LEAP thinkers believe AI is permeating our daily work and life in this Five-Minute Friday. 

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/942⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 21 Nov 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/530f667e-c5fb-11f0-b72f-1b6d125d3b86/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>What’s on the horizon for AI? Jon Krohn wades through opinions from more than experts, curated by the Longitudinal Expert AI Panel (LEAP), about what we can expect from the industry. From estimates on AI-assisted workers through energy consumption to AI performance in highly skilled domains, find out just how much LEAP thinkers believe AI is permeating our daily work and life in this Five-Minute Friday. 

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/942⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What’s on the horizon for AI? Jon Krohn wades through opinions from more than experts, curated by the Longitudinal Expert AI Panel (LEAP), about what we can expect from the industry. From estimates on AI-assisted workers through energy consumption to AI performance in highly skilled domains, find out just how much LEAP thinkers believe AI is permeating our daily work and life in this Five-Minute Friday. </p>
<p><br>Additional materials: <a href="https://www.superdatascience.com/942">⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/942⁠</a>⁠⁠⁠⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>373</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[530f667e-c5fb-11f0-b72f-1b6d125d3b86]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1700171108.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>941: Multi-Agent Human Societies, with Dr. Vijoy Pandey</title>
      <description>Vijoy Pandey imagines a bold new society in which agents and humans make scientific discoveries and complete physical tasks together, and he tells Jon Krohn about his work at AGNTCY, Cisco’s open-source platform for the Internet of Agents. Listen to the episode to hear Vijoy Pandey talk about how a future society in which multi-agents and humans interact may be a real possibility, what TCP/IP is, how to find trustworthy AI agents, and how to get your hands on AGNTCY today!

This episode is brought to you by the Dell⁠⁠⁠⁠⁠⁠⁠⁠⁠, by⁠ ⁠⁠Intel⁠⁠⁠, by ⁠Fabi⁠ and by ⁠Gurobi⁠⁠⁠⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/941⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:     


  (02:37) All about AGNTCY              	     	

  (12:04) How an agent-human society might function

  (15:19) What an “Internet of Agents” means

  (27:17) The future of access management

  (41:39) How to trust AI agents

  (48:49) How to get started with AGNTCY</description>
      <pubDate>Tue, 18 Nov 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a99e5646-c397-11f0-9745-ef09da594a47/image/a8d3539cf677768f5fae2bbd5e994849.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Vijoy Pandey imagines a bold new society in which agents and humans make scientific discoveries and complete physical tasks together, and he tells Jon Krohn about his work at AGNTCY, Cisco’s open-source platform for the Internet of Agents. Listen to the episode to hear Vijoy Pandey talk about how a future society in which multi-agents and humans interact may be a real possibility, what TCP/IP is, how to find trustworthy AI agents, and how to get your hands on AGNTCY today!

This episode is brought to you by the Dell⁠⁠⁠⁠⁠⁠⁠⁠⁠, by⁠ ⁠⁠Intel⁠⁠⁠, by ⁠Fabi⁠ and by ⁠Gurobi⁠⁠⁠⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/941⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:     


  (02:37) All about AGNTCY              	     	

  (12:04) How an agent-human society might function

  (15:19) What an “Internet of Agents” means

  (27:17) The future of access management

  (41:39) How to trust AI agents

  (48:49) How to get started with AGNTCY</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Vijoy Pandey imagines a bold new society in which agents and humans make scientific discoveries and complete physical tasks together, and he tells Jon Krohn about his work at AGNTCY, Cisco’s open-source platform for the Internet of Agents. Listen to the episode to hear Vijoy Pandey talk about how a future society in which multi-agents and humans interact may be a real possibility, what TCP/IP is, how to find trustworthy AI agents, and how to get your hands on AGNTCY today!</p>
<p><br>This episode is brought to you by the <a href="http://www.dell.com/dellproaistudio">Dell⁠⁠⁠⁠⁠</a>⁠⁠⁠⁠, by<a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand">⁠ <u>⁠⁠Intel⁠⁠</u>⁠</a>, by <a href="https://www.fabi.ai/">⁠<u>Fabi</u>⁠</a> and by <a href="http://gurobi.com/learn">⁠<u>Gurobi⁠⁠⁠</u>⁠</a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/941">www.superdatascience.com/941</a>⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:     </p>
<ul>
  <li>(02:37) All about AGNTCY              	     	</li>
  <li>(12:04) How an agent-human society might function</li>
  <li>(15:19) What an “Internet of Agents” means</li>
  <li>(27:17) The future of access management</li>
  <li>(41:39) How to trust AI agents</li>
  <li>(48:49) How to get started with AGNTCY</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>3974</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[a99e5646-c397-11f0-9745-ef09da594a47]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2093092761.mp3?updated=1763459491" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>940: In Case You Missed It in October 2025  </title>
      <description>Jon Krohn curates a selection of clips from the month that was. Hear from the orchestrators of an expanding AI universe in this episode of In Case You Missed It, with news, views and groundbreaking ideas from Sheamus McGovern, Jerry Yurchisin, Stephanie Hare, Larissa Schneider, and Adrian Kosowsky. We cover baby dragons, the Hippocratic Oath, and, of course, all the latest in artificial intelligence!



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/940⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 14 Nov 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a5817872-c130-11f0-a901-6b7625499c49/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Jon Krohn curates a selection of clips from the month that was. Hear from the orchestrators of an expanding AI universe in this episode of In Case You Missed It, with news, views and groundbreaking ideas from Sheamus McGovern, Jerry Yurchisin, Stephanie Hare, Larissa Schneider, and Adrian Kosowsky. We cover baby dragons, the Hippocratic Oath, and, of course, all the latest in artificial intelligence!



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/940⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn curates a selection of clips from the month that was. Hear from the orchestrators of an expanding AI universe in this episode of In Case You Missed It, with news, views and groundbreaking ideas from Sheamus McGovern, Jerry Yurchisin, Stephanie Hare, Larissa Schneider, and Adrian Kosowsky. We cover baby dragons, the Hippocratic Oath, and, of course, all the latest in artificial intelligence!</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/940">⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/940⁠⁠⁠⁠⁠⁠⁠⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2607</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[a5817872-c130-11f0-a901-6b7625499c49]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9222816689.mp3?updated=1763141453" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>939: Mixture-of-Experts and State-Space Models on Edge Devices, with Tyler Cox and Shirish Gupta</title>
      <description>State space models (SSMs), granite models, and Mamba: Dell’s Tyler Cox and Shirish Gupta discuss with Jon Krohn why state space models can process information so efficiently, and how Dell’s AI factory helps enterprises manage custom AI workloads. Hear the latest on the Dell Pro AI Studio and Dell’s partnerships with IBM and Hugging Face in this episode. 

This episode is brought to you by the Trainium2, the latest AI chip from AWS and by Gurobi.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/939⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:  


  (02:58) Dell Pro AI Studio news               	

  (23:17) How Dell manages interoperability       	

  (28:08) About the Dell/IBM granite models       	

  (47:38) How to troubleshoot AI tools       	     	

  (52:36) How Dell performs against benchmarks</description>
      <pubDate>Tue, 11 Nov 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/cd73445a-be24-11f0-90b8-777e6972a55e/image/abb780862fb128a23417f4c296323ea8.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>State space models (SSMs), granite models, and Mamba: Dell’s Tyler Cox and Shirish Gupta discuss with Jon Krohn why state space models can process information so efficiently, and how Dell’s AI factory helps enterprises manage custom AI workloads. Hear the latest on the Dell Pro AI Studio and Dell’s partnerships with IBM and Hugging Face in this episode. 

This episode is brought to you by the Trainium2, the latest AI chip from AWS and by Gurobi.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/939⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:  


  (02:58) Dell Pro AI Studio news               	

  (23:17) How Dell manages interoperability       	

  (28:08) About the Dell/IBM granite models       	

  (47:38) How to troubleshoot AI tools       	     	

  (52:36) How Dell performs against benchmarks</itunes:summary>
      <content:encoded>
        <![CDATA[<p>State space models (SSMs), granite models, and Mamba: Dell’s Tyler Cox and Shirish Gupta discuss with Jon Krohn why state space models can process information so efficiently, and how Dell’s AI factory helps enterprises manage custom AI workloads. Hear the latest on the Dell Pro AI Studio and Dell’s partnerships with IBM and Hugging Face in this episode. </p>
<p><br>This episode is brought to you by the <a href="https://aws.amazon.com/ai/machine-learning/trainium/"><u>Trainium2, the latest AI chip from AWS</u></a> and by <a href="http://gurobi.com/learn"><u>Gurobi</u></a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/939">www.superdatascience.com/939⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:  </p>
<ul>
  <li>(02:58) Dell Pro AI Studio news               	</li>
  <li>(23:17) How Dell manages interoperability       	</li>
  <li>(28:08) About the Dell/IBM granite models       	</li>
  <li>(47:38) How to troubleshoot AI tools       	     	</li>
  <li>(52:36) How Dell performs against benchmarks 	</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>3971</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[cd73445a-be24-11f0-90b8-777e6972a55e]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1892106220.mp3?updated=1762790127" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>938: Frontier AI Agents for Data Science, with Sphinx’s Rohan Kodialam</title>
      <description>Jon Krohn speaks to Rohan Kodialam, Cofounder and CEO of Sphinx, the company that redefines how machine intelligence reasons data with frontier AI. In this Feature Friday, Jon and Rohan discuss the benefits of using Sphinx to assist with data analysis. Get under the hood to learn how Sphinx operates, from running commands to ensuring your data stays secure, and find out how you can get your hands on this great tool for free.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/938⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 07 Nov 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a130cc66-b972-11f0-b84d-430f91620f0a/image/b6d4ea27173e37abe5ea612eba3e5218.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Jon Krohn speaks to Rohan Kodialam, Cofounder and CEO of Sphinx, the company that redefines how machine intelligence reasons data with frontier AI. In this Feature Friday, Jon and Rohan discuss the benefits of using Sphinx to assist with data analysis. Get under the hood to learn how Sphinx operates, from running commands to ensuring your data stays secure, and find out how you can get your hands on this great tool for free.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/938⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn speaks to Rohan Kodialam, Cofounder and CEO of Sphinx, the company that redefines how machine intelligence reasons data with frontier AI. In this Feature Friday, Jon and Rohan discuss the benefits of using Sphinx to assist with data analysis. Get under the hood to learn how Sphinx operates, from running commands to ensuring your data stays secure, and find out how you can get your hands on this great tool for free.</p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/938">www.superdatascience.com/938</a>⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1154</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[a130cc66-b972-11f0-b84d-430f91620f0a]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2722727939.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>937: How to Design AI-First Products, with Marc Dupuis</title>
      <description>AI tools won’t eliminate but elevate data scientists, says Marc Dupuis. The CEO of fabi.ai talks to Jon Krohn about the new wave of AI-driven platforms that integrate workflows within popular work tools like Slack and email, and how building AI-first products means widening access to all ability levels.  



This episode is brought to you by the Gurobi⁠⁠⁠⁠, by ⁠⁠Dell⁠⁠ and by ⁠⁠Intel.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/937



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:  


  (09:31) Will fabi.ai outshine data science practitioners     

  (20:40) Resolving workflows with fabi.ai         	                    	 

  (24:08) Creating AI agents with fabi.ai                                    	

  (45:23) How to avoid ‘gaming’ targets </description>
      <pubDate>Tue, 04 Nov 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/d6b6700a-b640-11f0-a024-5b9e27e539bd/image/3cbe58082d1de13c04d4fec1ea473f83.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>AI tools won’t eliminate but elevate data scientists, says Marc Dupuis. The CEO of fabi.ai talks to Jon Krohn about the new wave of AI-driven platforms that integrate workflows within popular work tools like Slack and email, and how building AI-first products means widening access to all ability levels.  



This episode is brought to you by the Gurobi⁠⁠⁠⁠, by ⁠⁠Dell⁠⁠ and by ⁠⁠Intel.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/937



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:  


  (09:31) Will fabi.ai outshine data science practitioners     

  (20:40) Resolving workflows with fabi.ai         	                    	 

  (24:08) Creating AI agents with fabi.ai                                    	

  (45:23) How to avoid ‘gaming’ targets </itunes:summary>
      <content:encoded>
        <![CDATA[<p>AI tools won’t eliminate but elevate data scientists, says Marc Dupuis. The CEO of fabi.ai talks to Jon Krohn about the new wave of AI-driven platforms that integrate workflows within popular work tools like Slack and email, and how building AI-first products means widening access to all ability levels.  </p>
<p><br></p>
<p>This episode is brought to you by the<a href="https://aws.amazon.com/ai/machine-learning/trainium/"> </a><a href="http://gurobi.com/learn"><u>Gurobi⁠⁠⁠</u>⁠</a>, by<a href="https://aws.amazon.com/ai/machine-learning/trainium/"> </a><a href="http://www.dell.com/dellproaistudio"><u>⁠⁠Dell⁠⁠</u></a> and by<a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand"> <u>⁠⁠Intel.</u></a></p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/937">www.superdatascience.com/937</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:  </p>
<ul>
  <li>(09:31) Will fabi.ai outshine data science practitioners     </li>
  <li>(20:40) Resolving workflows with fabi.ai         	                    	 </li>
  <li>(24:08) Creating AI agents with fabi.ai                                    	</li>
  <li>(45:23) How to avoid ‘gaming’ targets  </li>
</ul>]]>
      </content:encoded>
      <itunes:duration>3572</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[d6b6700a-b640-11f0-a024-5b9e27e539bd]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3836672186.mp3?updated=1762242891" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>936: LLMs Are Delighted to Help Phishing Scams</title>
      <description>How much power – and risk – do we carry around with us in our pockets? A Reuters investigation about how easily LLMs can be utilized for online phishing scams is the subject of this week’s Five-Minute Friday with Jon Krohn. By asking six of the most popular LLMs (Grok, ChatGPT, Meta AI, Claude, DeepSeek and Gemini) to generate phishing emails specifically targeting elderly people, Reuters found the safety sometimes severely lacking in the models. Listen to the episode to hear Jon quantify this problem with real-world examples, why mere content warnings in LLM models don’t work, and the troubling results of the phishing requests.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/936⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 31 Oct 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2bafe88e-b56a-11f0-87f1-b324a9b0bc1e/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>How much power – and risk – do we carry around with us in our pockets? A Reuters investigation about how easily LLMs can be utilized for online phishing scams is the subject of this week’s Five-Minute Friday with Jon Krohn. By asking six of the most popular LLMs (Grok, ChatGPT, Meta AI, Claude, DeepSeek and Gemini) to generate phishing emails specifically targeting elderly people, Reuters found the safety sometimes severely lacking in the models. Listen to the episode to hear Jon quantify this problem with real-world examples, why mere content warnings in LLM models don’t work, and the troubling results of the phishing requests.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/936⁠⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How much power – and risk – do we carry around with us in our pockets? A Reuters investigation about how easily LLMs can be utilized for online phishing scams is the subject of this week’s Five-Minute Friday with Jon Krohn. By asking six of the most popular LLMs (Grok, ChatGPT, Meta AI, Claude, DeepSeek and Gemini) to generate phishing emails specifically targeting elderly people, Reuters found the safety sometimes severely lacking in the models. Listen to the episode to hear Jon quantify this problem with real-world examples, why mere content warnings in LLM models don’t work, and the troubling results of the phishing requests.</p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/936">www.superdatascience.com/936</a>⁠⁠⁠⁠⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>307</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[2bafe88e-b56a-11f0-87f1-b324a9b0bc1e]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9252935642.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>935: Global Issues Accelerated by AI (with Solutions), feat. Stephanie Hare</title>
      <description>Jon Krohn speaks to researcher, broadcaster and author Stephanie Hare about how the Hippocratic Oath might apply to artificial intelligence, and a guiding ethos for pushing innovation while protecting users from harm. A code of conduct, she says, could be one approach to ensuring that people are using technology more mindfully and ethically, as well as an opportunity for users to feel that they belong to a wider, global community. Although she sympathizes with people concerned by overregulation undermining innovation, Stephanie also notes that we expect certain standards to be met elsewhere, such as vehicle and drug safety, as well as fair journalistic practices. As Stephanie explains, we need to find a realistic middle ground between innovation and regulation.

This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Fabi and by Gurobi⁠⁠⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/935⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:   


  (01:23) What ‘technology ethics’ is                	

  (14:46) Developing a Hippocratic Oath for tech 

  (42:32) How to protect against sensationalism           	

  (53:38) How to maintain a balance of growth and infrastructure</description>
      <pubDate>Tue, 28 Oct 2025 09:58:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/5e2a4224-acef-11f0-8918-338e7a1d70f7/image/bccd33602fff7cdc6dc539c21f72fe76.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Jon Krohn speaks to researcher, broadcaster and author Stephanie Hare about how the Hippocratic Oath might apply to artificial intelligence, and a guiding ethos for pushing innovation while protecting users from harm. A code of conduct, she says, could be one approach to ensuring that people are using technology more mindfully and ethically, as well as an opportunity for users to feel that they belong to a wider, global community. Although she sympathizes with people concerned by overregulation undermining innovation, Stephanie also notes that we expect certain standards to be met elsewhere, such as vehicle and drug safety, as well as fair journalistic practices. As Stephanie explains, we need to find a realistic middle ground between innovation and regulation.

This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Fabi and by Gurobi⁠⁠⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/935⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:   


  (01:23) What ‘technology ethics’ is                	

  (14:46) Developing a Hippocratic Oath for tech 

  (42:32) How to protect against sensationalism           	

  (53:38) How to maintain a balance of growth and infrastructure</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn speaks to researcher, broadcaster and author Stephanie Hare about how the Hippocratic Oath might apply to artificial intelligence, and a guiding ethos for pushing innovation while protecting users from harm. A code of conduct, she says, could be one approach to ensuring that people are using technology more mindfully and ethically, as well as an opportunity for users to feel that they belong to a wider, global community. Although she sympathizes with people concerned by overregulation undermining innovation, Stephanie also notes that we expect certain standards to be met elsewhere, such as vehicle and drug safety, as well as fair journalistic practices. As Stephanie explains, we need to find a realistic middle ground between innovation and regulation.</p>
<p><br>This episode is brought to you by the<a href="https://aws.amazon.com/ai/machine-learning/trainium/"> </a><a href="http://www.dell.com/dellproaistudio"><u>⁠⁠Dell⁠⁠</u></a>, by<a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand"> <u>⁠⁠Intel⁠⁠</u></a>, by <a href="https://www.fabi.ai/"><u>Fabi</u></a> and by <a href="http://gurobi.com/learn"><u>Gurobi⁠⁠⁠</u></a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/935">⁠www.superdatascience.com/935⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:   </p>
<ul>
  <li>(01:23) What ‘technology ethics’ is                	</li>
  <li>(14:46) Developing a Hippocratic Oath for tech </li>
  <li>(42:32) How to protect against sensationalism           	</li>
  <li>(53:38) How to maintain a balance of growth and infrastructure</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4647</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[5e2a4224-acef-11f0-8918-338e7a1d70f7]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9260627970.mp3?updated=1761394885" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>934: Is AI Replacing Junior Workers?</title>
      <description>With the number of jobs dramatically slowing in the last year, many question if this decline is down to companies turning to AI for completing entry-level tasks in particular. Research published earlier this month by Yale University shows no major difference in the types of roles and tasks in so-called `white-collar jobs` since late 2022, an auspicious date that coincides with the launch of ChatGPT. In this week‘s Five-Minute Friday, host Jon Krohn discusses if and when AI will undercut junior-level jobs, particularly in the US.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/934⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 24 Oct 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/db90da30-b0ae-11f0-98fd-ff26bf9a2827/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>With the number of jobs dramatically slowing in the last year, many question if this decline is down to companies turning to AI for completing entry-level tasks in particular. Research published earlier this month by Yale University shows no major difference in the types of roles and tasks in so-called `white-collar jobs` since late 2022, an auspicious date that coincides with the launch of ChatGPT. In this week‘s Five-Minute Friday, host Jon Krohn discusses if and when AI will undercut junior-level jobs, particularly in the US.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/934⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>With the number of jobs dramatically slowing in the last year, many question if this decline is down to companies turning to AI for completing entry-level tasks in particular. Research published earlier this month by Yale University shows no major difference in the types of roles and tasks in so-called `white-collar jobs` since late 2022, an auspicious date that coincides with the launch of ChatGPT. In this week‘s Five-Minute Friday, host Jon Krohn discusses if and when AI will undercut junior-level jobs, particularly in the US.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/934">⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/934⁠⁠⁠⁠⁠⁠⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>415</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[db90da30-b0ae-11f0-98fd-ff26bf9a2827]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9043257215.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>933: Future-Proofing Your Career in the AI Era, feat. Sheamus McGovern</title>
      <description>Sheamus McGovern, CEO of Open Data Science, takes Jon Krohn and his listeners on a journey to launching his popular data science and AI conference, now in its tenth year, as well as the great shifts to the fields that he has seen on the way. For Seamus, the growth of his Open Data Science Conference has shown him that an AI engineer is just the beginning of several roles that will emerge from the industry. He asks Jon to consider the breadth of tasks demanded of today’s engineers, from data profiling and transformation to feature engineering, hyper-parameter tuning, and model deployments. Just as the AI engineer emerged from the data scientist role, Seamus expects the industry to respond to the broadening range of projects and tools with new, niche, and dynamic job roles. 

This episode is brought to you by the Trainium2, the latest AI chip from AWS, by Gurobi⁠⁠, by ⁠Dell⁠ and by ⁠Intel⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/933⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:  


  (02:50) Why Seamus started ODSC

  (18:27) The differences in AI engineers and data scientists      	

  (24:20) How to keep up with AI’s rapid pace

  (33:51) How people hire for AI orchestration  	

  (46:26) How companies can get team skillsets right   </description>
      <pubDate>Tue, 21 Oct 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/07d8a84a-adb5-11f0-99e0-0f736914cf8b/image/1b16c95f68094a9044a93aa8b71f9400.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Sheamus McGovern, CEO of Open Data Science, takes Jon Krohn and his listeners on a journey to launching his popular data science and AI conference, now in its tenth year, as well as the great shifts to the fields that he has seen on the way. For Seamus, the growth of his Open Data Science Conference has shown him that an AI engineer is just the beginning of several roles that will emerge from the industry. He asks Jon to consider the breadth of tasks demanded of today’s engineers, from data profiling and transformation to feature engineering, hyper-parameter tuning, and model deployments. Just as the AI engineer emerged from the data scientist role, Seamus expects the industry to respond to the broadening range of projects and tools with new, niche, and dynamic job roles. 

This episode is brought to you by the Trainium2, the latest AI chip from AWS, by Gurobi⁠⁠, by ⁠Dell⁠ and by ⁠Intel⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/933⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:  


  (02:50) Why Seamus started ODSC

  (18:27) The differences in AI engineers and data scientists      	

  (24:20) How to keep up with AI’s rapid pace

  (33:51) How people hire for AI orchestration  	

  (46:26) How companies can get team skillsets right   </itunes:summary>
      <content:encoded>
        <![CDATA[<p>Sheamus McGovern, CEO of Open Data Science, takes Jon Krohn and his listeners on a journey to launching his popular data science and AI conference, now in its tenth year, as well as the great shifts to the fields that he has seen on the way. For Seamus, the growth of his Open Data Science Conference has shown him that an AI engineer is just the beginning of several roles that will emerge from the industry. He asks Jon to consider the breadth of tasks demanded of today’s engineers, from data profiling and transformation to feature engineering, hyper-parameter tuning, and model deployments. Just as the AI engineer emerged from the data scientist role, Seamus expects the industry to respond to the broadening range of projects and tools with new, niche, and dynamic job roles. </p>
<p><br>This episode is brought to you by the <a href="https://aws.amazon.com/ai/machine-learning/trainium/"><u>Trainium2, the latest AI chip from AWS</u></a>, by <a href="http://gurobi.com/learn"><u>Gurobi⁠</u>⁠</a>, by <a href="http://www.dell.com/dellproaistudio"><u>⁠Dell⁠</u></a> and by <a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand"><u>⁠Intel⁠</u></a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/933">www.superdatascience.com/933⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:  </p>
<ul>
  <li>(02:50) Why Seamus started ODSC</li>
  <li>(18:27) The differences in AI engineers and data scientists      	</li>
  <li>(24:20) How to keep up with AI’s rapid pace</li>
  <li>(33:51) How people hire for AI orchestration  	</li>
  <li>(46:26) How companies can get team skillsets right    	 </li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4510</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[07d8a84a-adb5-11f0-99e0-0f736914cf8b]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1520628346.mp3?updated=1761029766" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>932: Should You Build or Buy Your AI Solution? With Larissa Schneider</title>
      <description>Larissa Schneider speaks to Jon Krohn in this Feature Friday about finding the right time to invest in AI solutions, and when it’s better to build them yourself. She discusses her work leading global strategy and operations at Unframe, and how they raised $50 million in venture capital since the company’s launch in March 2025. 



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/932⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 17 Oct 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/5856be86-a5b0-11f0-8155-ff5db8734f24/image/8a6c8e5b86816681dadaf2a998d7eeb6.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Larissa Schneider speaks to Jon Krohn in this Feature Friday about finding the right time to invest in AI solutions, and when it’s better to build them yourself. She discusses her work leading global strategy and operations at Unframe, and how they raised $50 million in venture capital since the company’s launch in March 2025. 



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/932⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Larissa Schneider speaks to Jon Krohn in this Feature Friday about finding the right time to invest in AI solutions, and when it’s better to build them yourself. She discusses her work leading global strategy and operations at Unframe, and how they raised $50 million in venture capital since the company’s launch in March 2025. </p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/932">⁠⁠⁠⁠www.superdatascience.com/932⁠⁠⁠</a>⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1750</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[5856be86-a5b0-11f0-8155-ff5db8734f24]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8521041423.mp3?updated=1760688749" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>931: Boost Your Profits with Mathematical Optimization, feat. Jerry Yurchisin</title>
      <description>AI predictions, and how to act on them: Data Science Strategist at Gurobi, Jerry Yurchisin, speaks to Jon Krohn about how mathematical optimization helps enterprises automate decisions for business success and where to find the resources to make it happen.  

This episode is brought to you by the ⁠ODSC, the Open Data Science Conference, by Fabi, by ⁠Dell⁠, and by ⁠Intel⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/931⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (02:34) What mathematical optimization is

  (13:58) How to get started with mathematical optimization

  (45:56) Gurobi’s use cases

  (56:29) Quantum computing and mathematical optimization  </description>
      <pubDate>Tue, 14 Oct 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a158888e-a813-11f0-b57b-5b00b0968c8d/image/81070643a399450377d2bd2dec405760.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>AI predictions, and how to act on them: Data Science Strategist at Gurobi, Jerry Yurchisin, speaks to Jon Krohn about how mathematical optimization helps enterprises automate decisions for business success and where to find the resources to make it happen.  

This episode is brought to you by the ⁠ODSC, the Open Data Science Conference, by Fabi, by ⁠Dell⁠, and by ⁠Intel⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/931⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (02:34) What mathematical optimization is

  (13:58) How to get started with mathematical optimization

  (45:56) Gurobi’s use cases

  (56:29) Quantum computing and mathematical optimization  </itunes:summary>
      <content:encoded>
        <![CDATA[<p>AI predictions, and how to act on them: Data Science Strategist at Gurobi, Jerry Yurchisin, speaks to Jon Krohn about how mathematical optimization helps enterprises automate decisions for business success and where to find the resources to make it happen.  </p>
<p><br>This episode is brought to you by the <a href="http://odsc.ai/"><u>⁠ODSC, the Open Data Science Conference</u></a>, by <a href="http://fabi.ai/"><u>Fabi</u></a>, by <a href="http://www.dell.com/dellproaistudio"><u>⁠Dell⁠</u></a>, and by <a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand"><u>⁠Intel⁠</u></a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/931">⁠⁠⁠⁠www.superdatascience.com/931⁠⁠⁠</a>⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>(02:34) What mathematical optimization is</li>
  <li>(13:58) How to get started with mathematical optimization</li>
  <li>(45:56) Gurobi’s use cases</li>
  <li>(56:29) Quantum computing and mathematical optimization  	</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4392</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[a158888e-a813-11f0-b57b-5b00b0968c8d]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8449053577.mp3?updated=1760374299" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title> 930: In Case You Missed It in September 2025  </title>
      <description>Jon Krohn’s highlights from this month of interviews focus on ways to future-proof your career, looking at the hardware that will get you the most mileage, the emerging roles that are well worth a look, and the developments in AI that will endure in a field constantly testing the durability of its own breakthroughs.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/930⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 10 Oct 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/320cc382-a435-11f0-9f96-8bbf4e478985/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Jon Krohn’s highlights from this month of interviews focus on ways to future-proof your career, looking at the hardware that will get you the most mileage, the emerging roles that are well worth a look, and the developments in AI that will endure in a field constantly testing the durability of its own breakthroughs.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/930⁠⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn’s highlights from this month of interviews focus on ways to future-proof your career, looking at the hardware that will get you the most mileage, the emerging roles that are well worth a look, and the developments in AI that will endure in a field constantly testing the durability of its own breakthroughs.</p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/930">⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/930⁠⁠⁠⁠⁠⁠⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2245</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[320cc382-a435-11f0-9f96-8bbf4e478985]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5785148375.mp3?updated=1760082153" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title> 929: Dragon Hatchling: The Missing Link Between Transformers and the Brain, with Adrian Kosowski</title>
      <description>Breaking news: Jon Krohn welcomes Adrian Kosowski to the show to talk about the groundbreaking research happening at Pathway. Adrian and his team demonstrate how they have brought attention in AI closer to the way the brain functions, creating, in essence, a “massively parallel system of [artificial] neurons” that communicate with one another and exhibit properties similar to natural neurons. The goal is to move beyond the current limitations of transformers, where reasoning can be generalized across more complex and extended reasoning patterns, approximating a more human-like approach to problem-solving.

This episode is brought to you by the Trainium2, the latest AI chip from AWS, by ⁠Dell⁠, by ⁠Intel⁠, by and ⁠Gurobi⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/929⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (01:27) Pathway’s ground-breaking new biologically inspired architecture

  (20:40) Limitless context windows

  (34:39) BDH architecture as positive space

  (53:11) Building multilingual models

  (1:01:07) How to access the BDH architecture</description>
      <pubDate>Tue, 07 Oct 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0bbe7e28-a296-11f0-b656-b3139713103a/image/58b9477475e908055fbe7cc83b3d4f3a.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Breaking news: Jon Krohn welcomes Adrian Kosowski to the show to talk about the groundbreaking research happening at Pathway. Adrian and his team demonstrate how they have brought attention in AI closer to the way the brain functions, creating, in essence, a “massively parallel system of [artificial] neurons” that communicate with one another and exhibit properties similar to natural neurons. The goal is to move beyond the current limitations of transformers, where reasoning can be generalized across more complex and extended reasoning patterns, approximating a more human-like approach to problem-solving.

This episode is brought to you by the Trainium2, the latest AI chip from AWS, by ⁠Dell⁠, by ⁠Intel⁠, by and ⁠Gurobi⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/929⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (01:27) Pathway’s ground-breaking new biologically inspired architecture

  (20:40) Limitless context windows

  (34:39) BDH architecture as positive space

  (53:11) Building multilingual models

  (1:01:07) How to access the BDH architecture</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Breaking news: Jon Krohn welcomes Adrian Kosowski to the show to talk about the groundbreaking research happening at Pathway. Adrian and his team demonstrate how they have brought attention in AI closer to the way the brain functions, creating, in essence, a “massively parallel system of [artificial] neurons” that communicate with one another and exhibit properties similar to natural neurons. The goal is to move beyond the current limitations of transformers, where reasoning can be generalized across more complex and extended reasoning patterns, approximating a more human-like approach to problem-solving.</p>
<p><br>This episode is brought to you by the <a href="https://aws.amazon.com/ai/machine-learning/trainium/"><u>Trainium2, the latest AI chip from AWS</u></a>, by <a href="http://www.dell.com/dellproaistudio"><u>⁠Dell⁠</u></a>, by <a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand"><u>⁠Intel⁠</u></a>, by and<a href="http://gurobi.com/learn"> <u>⁠Gurobi⁠</u></a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/929">⁠⁠⁠www.superdatascience.com/929⁠⁠</a>⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>(01:27) Pathway’s ground-breaking new biologically inspired architecture</li>
  <li>(20:40) Limitless context windows</li>
  <li>(34:39) BDH architecture as positive space</li>
  <li>(53:11) Building multilingual models</li>
  <li>(1:01:07) How to access the BDH architecture</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4468</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[0bbe7e28-a296-11f0-b656-b3139713103a]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3839207113.mp3?updated=1759826123" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>928: The “Lethal Trifecta”: Can AI Agents Ever Be Safe?</title>
      <description>Prompt injections, malicious code, and AI agents: In this week’s Five-Minute Friday, Jon Krohn looks into the current security weaknesses found in AI systems. A structural vulnerability that The Economist dubs a “lethal trifecta” could cause havoc for AI users, unless we take the necessary steps to contain our systems. 

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/928⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 03 Oct 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8f00c8fe-9f7b-11f0-b70b-d7bdeff4db08/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Prompt injections, malicious code, and AI agents: In this week’s Five-Minute Friday, Jon Krohn looks into the current security weaknesses found in AI systems. A structural vulnerability that The Economist dubs a “lethal trifecta” could cause havoc for AI users, unless we take the necessary steps to contain our systems. 

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/928⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Prompt injections, malicious code, and AI agents: In this week’s Five-Minute Friday, Jon Krohn looks into the current security weaknesses found in AI systems. A structural vulnerability that <em>The Economist </em>dubs a “lethal trifecta” could cause havoc for AI users, unless we take the necessary steps to contain our systems. </p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/928">⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/928⁠⁠⁠⁠⁠⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>355</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[8f00c8fe-9f7b-11f0-b70b-d7bdeff4db08]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6140629049.mp3?updated=1759491077" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>927: Automating Code Review with AI, feat. CodeRabbit’s David Loker</title>
      <description>Earlier this year, David Loker joined CodeRabbit as their Director of AI. As more people come to write code with the help of large language models, David believes CodeRabbit will become a helpful assistant for code reviewing and pull requests. He tells Jon Krohn how CodeRabbit assists developers with real-time feedback, as well as the reality of vibe coding, the optimization challenges of agentic AI, and other pressing questions in AI and tech. 

This episode is brought to you by the ⁠Dell⁠, by ⁠Intel⁠, by ⁠Gurobi⁠ and by ⁠ODSC, the Open Data Science Conference⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/927⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  
(01:26) How CodeRabbit helps with coding   



  
(17:30) Context engineering in context    



  
(40:40) How CodeRabbit keeps data secure    	 



  
(46:10) David’s thoughts on “vibe coding”                              	



  
(1:03:04) If machines will ever be truly creative </description>
      <pubDate>Tue, 30 Sep 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/cc9c9bb8-9c45-11f0-93ed-8b724e868527/image/2e12fbd181c7e9b2173397e4802b41fa.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Earlier this year, David Loker joined CodeRabbit as their Director of AI. As more people come to write code with the help of large language models, David believes CodeRabbit will become a helpful assistant for code reviewing and pull requests. He tells Jon Krohn how CodeRabbit assists developers with real-time feedback, as well as the reality of vibe coding, the optimization challenges of agentic AI, and other pressing questions in AI and tech. 

This episode is brought to you by the ⁠Dell⁠, by ⁠Intel⁠, by ⁠Gurobi⁠ and by ⁠ODSC, the Open Data Science Conference⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/927⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  
(01:26) How CodeRabbit helps with coding   



  
(17:30) Context engineering in context    



  
(40:40) How CodeRabbit keeps data secure    	 



  
(46:10) David’s thoughts on “vibe coding”                              	



  
(1:03:04) If machines will ever be truly creative </itunes:summary>
      <content:encoded>
        <![CDATA[<p>Earlier this year, David Loker joined CodeRabbit as their Director of AI. As more people come to write code with the help of large language models, David believes CodeRabbit will become a helpful assistant for code reviewing and pull requests. He tells Jon Krohn how CodeRabbit assists developers with real-time feedback, as well as the reality of vibe coding, the optimization challenges of agentic AI, and other pressing questions in AI and tech. </p>
<p><br>This episode is brought to you by the<a href="http://www.dell.com/dellproaistudio"> <u>⁠Dell⁠</u></a>, by <a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand"><u>⁠Intel⁠</u></a>, by<a href="http://gurobi.com/learn"> <u>⁠Gurobi⁠</u></a> and by<a href="http://odsc.ai/"> <u>⁠ODSC, the Open Data Science Conference⁠</u></a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/927">⁠⁠www.superdatascience.com/927⁠</a>⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>
<p>(01:26) How CodeRabbit helps with coding   </p>
</li>
  <li>
<p>(17:30) Context engineering in context    </p>
</li>
  <li>
<p>(40:40) How CodeRabbit keeps data secure    	 </p>
</li>
  <li>
<p>(46:10) David’s thoughts on “vibe coding”                              	</p>
</li>
  <li>
<p>(1:03:04) If machines will ever be truly creative  </p>
</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4758</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[cc9c9bb8-9c45-11f0-93ed-8b724e868527]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5438568032.mp3?updated=1759064937" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>926: AI is Disrupting the Legal Industry: Are Paralegals Doomed?</title>
      <description>In this Five-Minute Friday, Jon Krohn explores how AI is reshaping the legal industry. He investigates how AI tools are helping lawyers make conclusions faster, how paralegals are being retrained, and the latest in-demand role in law (hint: It concerns AI). Listen to hear how Harvey AI and Thomson Reuters’ CoCounsel are using AI to help lawyers get ahead.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/926⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 26 Sep 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7c335c8e-9a01-11f0-8924-9759f003d396/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this Five-Minute Friday, Jon Krohn explores how AI is reshaping the legal industry. He investigates how AI tools are helping lawyers make conclusions faster, how paralegals are being retrained, and the latest in-demand role in law (hint: It concerns AI). Listen to hear how Harvey AI and Thomson Reuters’ CoCounsel are using AI to help lawyers get ahead.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/926⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this Five-Minute Friday, Jon Krohn explores how AI is reshaping the legal industry. He investigates how AI tools are helping lawyers make conclusions faster, how paralegals are being retrained, and the latest in-demand role in law (hint: It concerns AI). Listen to hear how Harvey AI and Thomson Reuters’ CoCounsel are using AI to help lawyers get ahead.</p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/926">⁠⁠⁠⁠⁠⁠www.superdatascience.com/926⁠⁠⁠⁠⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>287</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[7c335c8e-9a01-11f0-8924-9759f003d396]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4808499416.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>925: AI, Automation and the Future of Work, with Oxford’s Prof. Carl Benedikt Frey</title>
      <description>Tech innovation’s dependence on economic systems, trust in technology throughout history, and job displacement through AI: The Dieter Schwartz Associate Professor of AI and work at the University of Oxford, Carl Benedikt Frey, talks to Jon Krohn about his latest book, How Progress Ends, as well as how different economic systems deal with innovation and scaling, dealing with the homogeneity of generative AI output, and how to stay afloat in the new wave of job automation.

This episode is brought to you by the ⁠Dell⁠, by ⁠Intel⁠, by ⁠ODSC, the Open Data Science Conference⁠ and by ⁠Gurobi⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/925⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  
(04:00) All about How Progress Ends: Technology, Innovation, and the Fate of Nations



  
(14:26) The role of weak ties in driving technological innovation



  
(18:22) How to keep innovating as a big business



  
(48:05) What we can learn and apply from previous industrial revolutions



  
(54:33) How workers can try to ‘future-proof’ themselves</description>
      <pubDate>Tue, 23 Sep 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/33cd9ca8-978a-11f0-984d-e3be4291daab/image/1986db0f92685bce9d2c98f7e706a299.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Tech innovation’s dependence on economic systems, trust in technology throughout history, and job displacement through AI: The Dieter Schwartz Associate Professor of AI and work at the University of Oxford, Carl Benedikt Frey, talks to Jon Krohn about his latest book, How Progress Ends, as well as how different economic systems deal with innovation and scaling, dealing with the homogeneity of generative AI output, and how to stay afloat in the new wave of job automation.

This episode is brought to you by the ⁠Dell⁠, by ⁠Intel⁠, by ⁠ODSC, the Open Data Science Conference⁠ and by ⁠Gurobi⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/925⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  
(04:00) All about How Progress Ends: Technology, Innovation, and the Fate of Nations



  
(14:26) The role of weak ties in driving technological innovation



  
(18:22) How to keep innovating as a big business



  
(48:05) What we can learn and apply from previous industrial revolutions



  
(54:33) How workers can try to ‘future-proof’ themselves</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Tech innovation’s dependence on economic systems, trust in technology throughout history, and job displacement through AI: The Dieter Schwartz Associate Professor of AI and work at the University of Oxford, Carl Benedikt Frey, talks to Jon Krohn about his latest book, <em>How Progress Ends</em>, as well as how different economic systems deal with innovation and scaling, dealing with the homogeneity of generative AI output, and how to stay afloat in the new wave of job automation.</p>
<p><br>This episode is brought to you by the <a href="http://www.dell.com/dellproaistudio">⁠<u>Dell</u>⁠</a>, by <a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand">⁠<u>Intel</u>⁠</a>, by <a href="http://odsc.ai/">⁠<u>ODSC, the Open Data Science Conference</u>⁠</a> and by <a href="http://gurobi.com/learn">⁠<u>Gurobi</u>⁠</a><u>.</u></p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/925">⁠www.superdatascience.com/925</a>⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>
<p>(04:00) All about How Progress Ends: Technology, Innovation, and the Fate of Nations</p>
</li>
  <li>
<p>(14:26) The role of weak ties in driving technological innovation</p>
</li>
  <li>
<p>(18:22) How to keep innovating as a big business</p>
</li>
  <li>
<p>(48:05) What we can learn and apply from previous industrial revolutions</p>
</li>
  <li>
<p>(54:33) How workers can try to ‘future-proof’ themselves</p>
</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4206</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[33cd9ca8-978a-11f0-984d-e3be4291daab]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9326809000.mp3?updated=1758608402" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>924: 95% of Enterprise AI Projects Fail (Per MIT Research)</title>
      <description>MIT lab NANDA (“Networked AI Agents in Decentralized Architecture”) reveals less than promising results for the future of AI adoption in businesses. According to “The GenAI Divide: State of AI in Business 2025”, a whopping 95% of enterprise AI projects “are getting zero return” on their $30-40 billion investment. Jon Krohn takes this Five-Minute Friday to look into why this has happened, with help from a critical response to the report written by Futuriom’s R. Scott Raynovich.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/924⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 19 Sep 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/5b24f618-92f1-11f0-be62-2bf998241df9/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>MIT lab NANDA (“Networked AI Agents in Decentralized Architecture”) reveals less than promising results for the future of AI adoption in businesses. According to “The GenAI Divide: State of AI in Business 2025”, a whopping 95% of enterprise AI projects “are getting zero return” on their $30-40 billion investment. Jon Krohn takes this Five-Minute Friday to look into why this has happened, with help from a critical response to the report written by Futuriom’s R. Scott Raynovich.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/924⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>MIT lab NANDA (“Networked AI Agents in Decentralized Architecture”) reveals less than promising results for the future of AI adoption in businesses. According to “The GenAI Divide: State of AI in Business 2025”, a whopping 95% of enterprise AI projects “are getting zero return” on their $30-40 billion investment. Jon Krohn takes this Five-Minute Friday to look into why this has happened, with help from a critical response to the report written by <em>Futuriom</em>’s R. Scott Raynovich.</p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/924">⁠⁠⁠⁠⁠www.superdatascience.com/924⁠⁠⁠⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>327</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[5b24f618-92f1-11f0-be62-2bf998241df9]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6142370658.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>923: Graph Algorithms, GraphRAG and Causal Graphs, with Graph Guru Amy Hodler</title>
      <description>Graphs, but not as you would expect them: Graph analytics guru Amy Hodler speaks to Jon Krohn about the graph data structure and graph applications, graph algorithms, graph RAG, and graphs as memory systems for AI agents. We can use graphs in a surprising number of ways. Money laundering and fraud, as well as supply-chain crime, leave breadcrumbs at multiple “touch-points” over time, behaviors that graphs are better suited to reveal than rows and tables. Amy sees that most interest in graphs has been in the cybersecurity space. But this work isn’t only restricted to fighting crime! Listen to the episode to hear more case examples and how to get into graph work. 

This episode is brought to you by the Dell, by the Intel, by ODSC, the Open Data Science Conference and by Gurobi.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/923⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  
01:49) A brief history of graphs



  
(10:08) Uncovering fraud with graphs



  
(28:31) Where graphs are most commonly applied, to date



  
(34:49) Retrieval augmented generation graphs



  
(48:04) The future of graphs</description>
      <pubDate>Tue, 16 Sep 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/83b9d7f0-8fb4-11f0-9891-1fb82844626f/image/59275a0822482dab5d471176fe478c33.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Graphs, but not as you would expect them: Graph analytics guru Amy Hodler speaks to Jon Krohn about the graph data structure and graph applications, graph algorithms, graph RAG, and graphs as memory systems for AI agents. We can use graphs in a surprising number of ways. Money laundering and fraud, as well as supply-chain crime, leave breadcrumbs at multiple “touch-points” over time, behaviors that graphs are better suited to reveal than rows and tables. Amy sees that most interest in graphs has been in the cybersecurity space. But this work isn’t only restricted to fighting crime! Listen to the episode to hear more case examples and how to get into graph work. 

This episode is brought to you by the Dell, by the Intel, by ODSC, the Open Data Science Conference and by Gurobi.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/923⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  
01:49) A brief history of graphs



  
(10:08) Uncovering fraud with graphs



  
(28:31) Where graphs are most commonly applied, to date



  
(34:49) Retrieval augmented generation graphs



  
(48:04) The future of graphs</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Graphs, but not as you would expect them: Graph analytics guru Amy Hodler speaks to Jon Krohn about the graph data structure and graph applications, graph algorithms, graph RAG, and graphs as memory systems for AI agents. We can use graphs in a surprising number of ways. Money laundering and fraud, as well as supply-chain crime, leave breadcrumbs at multiple “touch-points” over time, behaviors that graphs are better suited to reveal than rows and tables. Amy sees that most interest in graphs has been in the cybersecurity space. But this work isn’t only restricted to fighting crime! Listen to the episode to hear more case examples and how to get into graph work. </p>
<p><br>This episode is brought to you by the <a href="http://www.dell.com/dellproaistudio"><u>Dell</u></a>, by the <a href="https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand"><u>Intel</u></a>, by <a href="http://odsc.ai/"><u>ODSC, the Open Data Science Conference</u></a> and by <a href="http://gurobi.com/learn"><u>Gurobi</u></a><u>.</u></p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/923">www.superdatascience.com/923⁠</a>⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>
<p>01:49) A brief history of graphs</p>
</li>
  <li>
<p>(10:08) Uncovering fraud with graphs</p>
</li>
  <li>
<p>(28:31) Where graphs are most commonly applied, to date</p>
</li>
  <li>
<p>(34:49) Retrieval augmented generation graphs</p>
</li>
  <li>
<p>(48:04) The future of graphs</p>
</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>3827</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[83b9d7f0-8fb4-11f0-9891-1fb82844626f]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8850453844.mp3?updated=1758004522" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>922: AI for Manufacturing and Industry, with Hugo Dozois-Caouette</title>
      <description>Hugo Dozois-Caouette speaks to Jon Krohn about his startup MaintainX and how he secured $254 million in venture capital, reaching a $2.5 billion valuation. MaintainX builds computerized maintenance management systems (CMMS) and enterprise asset management (EAM) software for industrial and manufacturing companies. This "digital clipboard" delivered through web and mobile apps connects machines, work orders, and frontline teams to boost productivity, reduce downtime, and prevent costly breakdowns. The platform captures knowledge from experienced workers and delivers AI-powered insights, with features like MaintainX CoPilot helping teams troubleshoot issues and make faster decisions. Listen to the episode to hear Hugo's perspective on manufacturing gaps that technology can fill, MaintainX's tech stack, and how CMMS platforms address information disconnects that slow down frontline teams.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/922⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 12 Sep 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/61cafcb6-8ee0-11f0-9d01-4fe5f4ffa46e/image/b62f4d593e0bcc954a7796652faa6ac3.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Hugo Dozois-Caouette speaks to Jon Krohn about his startup MaintainX and how he secured $254 million in venture capital, reaching a $2.5 billion valuation. MaintainX builds computerized maintenance management systems (CMMS) and enterprise asset management (EAM) software for industrial and manufacturing companies. This "digital clipboard" delivered through web and mobile apps connects machines, work orders, and frontline teams to boost productivity, reduce downtime, and prevent costly breakdowns. The platform captures knowledge from experienced workers and delivers AI-powered insights, with features like MaintainX CoPilot helping teams troubleshoot issues and make faster decisions. Listen to the episode to hear Hugo's perspective on manufacturing gaps that technology can fill, MaintainX's tech stack, and how CMMS platforms address information disconnects that slow down frontline teams.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/922⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Hugo Dozois-Caouette speaks to Jon Krohn about his startup MaintainX and how he secured $254 million in venture capital, reaching a $2.5 billion valuation. MaintainX builds computerized maintenance management systems (CMMS) and enterprise asset management (EAM) software for industrial and manufacturing companies. This "digital clipboard" delivered through web and mobile apps connects machines, work orders, and frontline teams to boost productivity, reduce downtime, and prevent costly breakdowns. The platform captures knowledge from experienced workers and delivers AI-powered insights, with features like MaintainX CoPilot helping teams troubleshoot issues and make faster decisions. Listen to the episode to hear Hugo's perspective on manufacturing gaps that technology can fill, MaintainX's tech stack, and how CMMS platforms address information disconnects that slow down frontline teams.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/922">⁠⁠⁠⁠www.superdatascience.com/922⁠</a>⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1709</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[61cafcb6-8ee0-11f0-9d01-4fe5f4ffa46e]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2790207492.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>921: NPUs vs GPUs vs CPUs for Local AI Workloads, with Dell’s Ish Shah and Shirish Gupta</title>
      <description>Using Windows for AI development and the bleeding edge of NPUs: Shirish Gupta and Ish Shah from Dell Technologies speak to Jon Krohn about the latest products from Dell, the future of neural-processing units (NPUs), and how AI developers can make sound hardware investments. 

This episode is brought to you by the Trainium2, the latest AI chip from AWS, by ODSC, the Open Data Science Conference and by Gurobi.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/921⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (04:18) Why Windows still outranks other operating systems



  (20:58) The difference between GPUs and NPUs



  (32:44) How to access and use Dell’s NPUs and GPUs



  (49:08) Using processing units on the cloud versus locally



  (57:43) About the Dell Pro Max</description>
      <pubDate>Tue, 09 Sep 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/954462ac-8c9d-11f0-964e-9b8e478e21cf/image/e25cbae55a1cadf293c68a44717b6903.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Using Windows for AI development and the bleeding edge of NPUs: Shirish Gupta and Ish Shah from Dell Technologies speak to Jon Krohn about the latest products from Dell, the future of neural-processing units (NPUs), and how AI developers can make sound hardware investments. 

This episode is brought to you by the Trainium2, the latest AI chip from AWS, by ODSC, the Open Data Science Conference and by Gurobi.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/921⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (04:18) Why Windows still outranks other operating systems



  (20:58) The difference between GPUs and NPUs



  (32:44) How to access and use Dell’s NPUs and GPUs



  (49:08) Using processing units on the cloud versus locally



  (57:43) About the Dell Pro Max</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Using Windows for AI development and the bleeding edge of NPUs: Shirish Gupta and Ish Shah from Dell Technologies speak to Jon Krohn about the latest products from Dell, the future of neural-processing units (NPUs), and how AI developers can make sound hardware investments. </p>
<p><br>This episode is brought to you by the <a href="https://aws.amazon.com/ai/machine-learning/trainium/"><u>Trainium2, the latest AI chip from AWS</u></a>, by <a href="http://odsc.ai/"><u>ODSC, the Open Data Science Conference</u></a> and by <a href="http://gurobi.com/learn"><u>Gurobi.</u></a></p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/921">⁠⁠⁠www.superdatascience.com/921</a>⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>(04:18) Why Windows still outranks other operating systems</li>
</ul>
<ul>
  <li>(20:58) The difference between GPUs and NPUs</li>
</ul>
<ul>
  <li>(32:44) How to access and use Dell’s NPUs and GPUs</li>
</ul>
<ul>
  <li>(49:08) Using processing units on the cloud versus locally</li>
</ul>
<ul>
  <li>(57:43) About the Dell Pro Max</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4332</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[954462ac-8c9d-11f0-964e-9b8e478e21cf]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9097551723.mp3?updated=1757406286" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>920: In Case You Missed It in August 2025 </title>
      <description>This month’s episode of In Case You Missed It gives us reasons to be cautiously optimistic about the future of large language models (LLMs), with guests discussing what to do about recent reports that found AI agents blackmailed human users when threatened, the importance of post-training LLMs, and the training we have available for data and AI engineers to create robust, secure, and useful AI. Jon Krohn includes clips from his interviews with Akshay Agrawal (Episode 911), Julien Launay (Episode 913), Michelle Yi (Episode 915), and Kirill Eremenko (Episode 917). 

Additional materials: ⁠⁠⁠⁠⁠www.superdatascience.com/920⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 05 Sep 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a653987e-8982-11f0-b2de-cb8ebbb3c4e7/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>This month’s episode of In Case You Missed It gives us reasons to be cautiously optimistic about the future of large language models (LLMs), with guests discussing what to do about recent reports that found AI agents blackmailed human users when threatened, the importance of post-training LLMs, and the training we have available for data and AI engineers to create robust, secure, and useful AI. Jon Krohn includes clips from his interviews with Akshay Agrawal (Episode 911), Julien Launay (Episode 913), Michelle Yi (Episode 915), and Kirill Eremenko (Episode 917). 

Additional materials: ⁠⁠⁠⁠⁠www.superdatascience.com/920⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This month’s episode of In Case You Missed It gives us reasons to be cautiously optimistic about the future of large language models (LLMs), with guests discussing what to do about recent reports that found AI agents blackmailed human users when threatened, the importance of post-training LLMs, and the training we have available for data and AI engineers to create robust, secure, and useful AI. Jon Krohn includes clips from his interviews with Akshay Agrawal (Episode 911), Julien Launay (Episode 913), Michelle Yi (Episode 915), and Kirill Eremenko (Episode 917). </p>
<p><br>Additional materials: ⁠<a href="https://www.superdatascience.com/920">⁠⁠⁠⁠www.superdatascience.com/920⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1317</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[a653987e-8982-11f0-b2de-cb8ebbb3c4e7]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4259928883.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>919: Hopes and Fears of AGI, with All-Time Bestselling ML Author Aurélien Géron</title>
      <description>PyTorch, AGI, and the future of alignment research: Aurélien Géron joins Jon Krohn in this live interview to talk about the fourth edition of his bestselling Hands-On Machine Learning as well as what superintelligence makes him hopeful for, as well as what concerns him about machines surpassing human intelligence. 



This episode is brought to you by Gurobi and by the Dell AI Factory with NVIDIA⁠ 



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/919⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (02:04) Why Aurélien wrote Hands-On Machine Learning      	 



  (20:54) How Aurélien came to decide on material for the new edition 



  (28:53) Aurélien’s predictions for AGI                                       	



  (51:21) How to support alignment research                    	



  (1:13:42) Does superintelligence mean super-capability         </description>
      <pubDate>Tue, 02 Sep 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b49fa47e-8728-11f0-a9c8-cf4c6777513a/image/db85ad45bcccbe6287bc02e774f7a3e5.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>PyTorch, AGI, and the future of alignment research: Aurélien Géron joins Jon Krohn in this live interview to talk about the fourth edition of his bestselling Hands-On Machine Learning as well as what superintelligence makes him hopeful for, as well as what concerns him about machines surpassing human intelligence. 



This episode is brought to you by Gurobi and by the Dell AI Factory with NVIDIA⁠ 



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/919⁠⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (02:04) Why Aurélien wrote Hands-On Machine Learning      	 



  (20:54) How Aurélien came to decide on material for the new edition 



  (28:53) Aurélien’s predictions for AGI                                       	



  (51:21) How to support alignment research                    	



  (1:13:42) Does superintelligence mean super-capability         </itunes:summary>
      <content:encoded>
        <![CDATA[<p>PyTorch, AGI, and the future of alignment research: Aurélien Géron joins Jon Krohn in this live interview to talk about the fourth edition of his bestselling Hands-On Machine Learning as well as what superintelligence makes him hopeful for, as well as what concerns him about machines surpassing human intelligence. </p>
<p><br></p>
<p>This episode is brought to you by <a href="http://gurobi.com/learn">Gurobi</a> and by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN"><u>Dell AI Factory with NVIDIA</u>⁠</a> </p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/919">⁠⁠www.superdatascience.com/919⁠⁠</a>⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>(02:04) Why Aurélien wrote Hands-On Machine Learning      	 </li>
</ul>
<ul>
  <li>(20:54) How Aurélien came to decide on material for the new edition </li>
</ul>
<ul>
  <li>(28:53) Aurélien’s predictions for AGI                                       	</li>
</ul>
<ul>
  <li>(51:21) How to support alignment research                    	</li>
</ul>
<ul>
  <li>(1:13:42) Does superintelligence mean super-capability          </li>
</ul>]]>
      </content:encoded>
      <itunes:duration>5391</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[b49fa47e-8728-11f0-a9c8-cf4c6777513a]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9158675651.mp3?updated=1756796637" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>918: Multi-Agent Systems with CrewAI</title>
      <description>In this Five-Minute Friday, Jon Krohn introduces listeners to CrewAI, an open-source Python framework that can create and manage multi-agent teams. The clue is in the title: CrewAI assembles specialized agents into single “crews” that achieve complex goals between them. CrewAI’s agent teams can also learn and iterate, meaning that after the crew has achieved its goals for the first time, they can refine and tailor their approach to  future goals. 

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/918⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 29 Aug 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fe1fb4dc-83f3-11f0-800b-dbc814af4f18/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this Five-Minute Friday, Jon Krohn introduces listeners to CrewAI, an open-source Python framework that can create and manage multi-agent teams. The clue is in the title: CrewAI assembles specialized agents into single “crews” that achieve complex goals between them. CrewAI’s agent teams can also learn and iterate, meaning that after the crew has achieved its goals for the first time, they can refine and tailor their approach to  future goals. 

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/918⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this Five-Minute Friday, Jon Krohn introduces listeners to CrewAI, an open-source Python framework that can create and manage multi-agent teams. The clue is in the title: CrewAI assembles specialized agents into single “crews” that achieve complex goals between them. CrewAI’s agent teams can also learn and iterate, meaning that after the crew has achieved its goals for the first time, they can refine and tailor their approach to  future goals. </p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/918">⁠⁠⁠⁠www.superdatascience.com/918⁠⁠⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>556</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[fe1fb4dc-83f3-11f0-800b-dbc814af4f18]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1458201669.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>917: 8 Steps to Becoming an AI Engineer, with Kirill Eremenko</title>
      <description>Founder of SuperDataScience, Kirill Eremenko, talks to Jon Krohn about how he found the best tools and approaches to help launch his 8-week AI engineering bootcamp. He breaks down the topics participants cover each week, and he also shares his tips with listeners who might want to start their own tech bootcamp or sign up for SuperDataScience’s September 2025 cohort.

This episode is brought to you by the Dell AI Factory with NVIDIA and by ODSC, the Open Data Science Conference



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/917⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (10:58) Weeks 1-4 of the SuperDataScience bootcamp           	 

  (37:52) How to use AI to drive the bottom line in business                  	 

  (47:50) Weeks 5-8 of the SuperDataScience bootcamp

  (54:50) How to convert LLMs to agents

  (1:09:33) Jon’s feedback on the SuperDataSciencebootcamp    </description>
      <pubDate>Tue, 26 Aug 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b4d10a8e-7f4c-11f0-ad74-d350e1d80488/image/ff59b424687cc53cbab0e8032991603c.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Founder of SuperDataScience, Kirill Eremenko, talks to Jon Krohn about how he found the best tools and approaches to help launch his 8-week AI engineering bootcamp. He breaks down the topics participants cover each week, and he also shares his tips with listeners who might want to start their own tech bootcamp or sign up for SuperDataScience’s September 2025 cohort.

This episode is brought to you by the Dell AI Factory with NVIDIA and by ODSC, the Open Data Science Conference



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/917⁠⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (10:58) Weeks 1-4 of the SuperDataScience bootcamp           	 

  (37:52) How to use AI to drive the bottom line in business                  	 

  (47:50) Weeks 5-8 of the SuperDataScience bootcamp

  (54:50) How to convert LLMs to agents

  (1:09:33) Jon’s feedback on the SuperDataSciencebootcamp    </itunes:summary>
      <content:encoded>
        <![CDATA[<p>Founder of SuperDataScience, Kirill Eremenko, talks to Jon Krohn about how he found the best tools and approaches to help launch his 8-week AI engineering bootcamp. He breaks down the topics participants cover each week, and he also shares his tips with listeners who might want to start their own tech bootcamp or sign up for SuperDataScience’s September 2025 cohort.</p>
<p><br>This episode is brought to you by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN"><u>Dell AI Factory with NVIDIA</u></a> and by <a href="https://odsc.com/"><u>ODSC, the Open Data Science Conference</u></a></p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/917">⁠www.superdatascience.com/917⁠</a>⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>(10:58) Weeks 1-4 of the SuperDataScience bootcamp           	 </li>
  <li>(37:52) How to use AI to drive the bottom line in business                  	 </li>
  <li>(47:50) Weeks 5-8 of the SuperDataScience bootcamp</li>
  <li>(54:50) How to convert LLMs to agents</li>
  <li>(1:09:33) Jon’s feedback on the SuperDataSciencebootcamp     </li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4533</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[b4d10a8e-7f4c-11f0-ad74-d350e1d80488]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9868592736.mp3?updated=1756142009" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>916: The 5 Key GPT-5 Takeaways</title>
      <description>GPT-5 has just been released, but with not very much fanfare. In this Five-Minute Friday, Jon Krohn asks if GPT-5 deserves the community’s underwhelmed response to its release. He outlines five features of the model and explains why people might be feeling less than enthusiastic in the broader context of LLM development. Which LLMs are leading the way, and which are still playing the game of catch-up?

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/916⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 22 Aug 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/00d04e32-7db2-11f0-80d2-cf6c4be51cce/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>GPT-5 has just been released, but with not very much fanfare. In this Five-Minute Friday, Jon Krohn asks if GPT-5 deserves the community’s underwhelmed response to its release. He outlines five features of the model and explains why people might be feeling less than enthusiastic in the broader context of LLM development. Which LLMs are leading the way, and which are still playing the game of catch-up?

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/916⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>GPT-5 has just been released, but with not very much fanfare. In this Five-Minute Friday, Jon Krohn asks if GPT-5 deserves the community’s underwhelmed response to its release. He outlines five features of the model and explains why people might be feeling less than enthusiastic in the broader context of LLM development. Which LLMs are leading the way, and which are still playing the game of catch-up?</p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/916">⁠⁠⁠www.superdatascience.com/916⁠⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>580</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[00d04e32-7db2-11f0-80d2-cf6c4be51cce]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6449351092.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>915: How to Jailbreak LLMs (and How to Prevent It), with Michelle Yi</title>
      <description>Tech leader, investor, and Generationship cofounder Michelle Yi talks to Jon Krohn about finding ways to trust and secure AI systems, the methods that hackers use to jailbreak code, and what users can do to build their own trustworthy AI systems. Learn all about “red teaming” and how tech teams can handle other key technical terms like data poisoning, prompt stealing, jailbreaking and slop squatting. 



This episode is brought to you by ⁠Trainium2, the latest AI chip from AWS⁠ and by the ⁠Dell AI Factory with NVIDIA⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/915⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:



  
(03:31) What “trustworthy AI” means     



  
(31:15) How to build trustworthy AI systems  	



  
(46:55) About Michelle’s “sorry bench”  



  
(48:13) How LLMs help construct causal graphs  



  
(51:45) About Generationship </description>
      <pubDate>Tue, 19 Aug 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4b3d8130-7c1b-11f0-898b-675ae84dca8f/image/8f0b2b6d6005daff923e0ffe6c5a6c0d.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Tech leader, investor, and Generationship cofounder Michelle Yi talks to Jon Krohn about finding ways to trust and secure AI systems, the methods that hackers use to jailbreak code, and what users can do to build their own trustworthy AI systems. Learn all about “red teaming” and how tech teams can handle other key technical terms like data poisoning, prompt stealing, jailbreaking and slop squatting. 



This episode is brought to you by ⁠Trainium2, the latest AI chip from AWS⁠ and by the ⁠Dell AI Factory with NVIDIA⁠.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/915⁠⁠⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:



  
(03:31) What “trustworthy AI” means     



  
(31:15) How to build trustworthy AI systems  	



  
(46:55) About Michelle’s “sorry bench”  



  
(48:13) How LLMs help construct causal graphs  



  
(51:45) About Generationship </itunes:summary>
      <content:encoded>
        <![CDATA[<p>Tech leader, investor, and Generationship cofounder Michelle Yi talks to Jon Krohn about finding ways to trust and secure AI systems, the methods that hackers use to jailbreak code, and what users can do to build their own trustworthy AI systems. Learn all about “red teaming” and how tech teams can handle other key technical terms like data poisoning, prompt stealing, jailbreaking and slop squatting. </p>
<p><br></p>
<p>This episode is brought to you by <a href="https://aws.amazon.com/ai/machine-learning/trainium/">⁠<u>Trainium2, the latest AI chip from AWS</u>⁠</a> and by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN">⁠<u>Dell AI Factory with NVIDIA</u>⁠</a>.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/915">www.superdatascience.com/915</a>⁠⁠⁠⁠⁠</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
<ul>
  <li>
<p>(03:31) What “trustworthy AI” means     </p>
</li>
  <li>
<p>(31:15) How to build trustworthy AI systems  	</p>
</li>
  <li>
<p>(46:55) About Michelle’s “sorry bench”  </p>
</li>
  <li>
<p>(48:13) How LLMs help construct causal graphs  </p>
</li>
  <li>
<p>(51:45) About Generationship  </p>
</li>
</ul>
</ul>]]>
      </content:encoded>
      <itunes:duration>4173</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[4b3d8130-7c1b-11f0-898b-675ae84dca8f]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7520485641.mp3?updated=1755600063" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>914: Data Lakes 101 (and Why They’re Key for AI Models), with Oz Katz</title>
      <description>In this Five-Minute Friday, Cofounder and CTO of lakeFS Oz Katz talks to Jon Krohn about data warehouses, data lakes, and how companies can handle increasingly complex data infrastructures and formats. Hear about lakeFS’s collaboration with Legofest, lakeFS’s approach to helping users collaborate on data lakes, and how to overcome the challenges of working with multimodal data.

Additional materials: ⁠www.superdatascience.com/914⁠



This episode is brought to you by the ⁠Dell AI Factory with NVIDIA⁠.</description>
      <pubDate>Fri, 15 Aug 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/43e1480e-7469-11f0-af80-73f91d220013/image/7bd8a4b4063c14c488a673c95fd25c4b.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this Five-Minute Friday, Cofounder and CTO of lakeFS Oz Katz talks to Jon Krohn about data warehouses, data lakes, and how companies can handle increasingly complex data infrastructures and formats. Hear about lakeFS’s collaboration with Legofest, lakeFS’s approach to helping users collaborate on data lakes, and how to overcome the challenges of working with multimodal data.

Additional materials: ⁠www.superdatascience.com/914⁠



This episode is brought to you by the ⁠Dell AI Factory with NVIDIA⁠.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this Five-Minute Friday, Cofounder and CTO of lakeFS Oz Katz talks to Jon Krohn about data warehouses, data lakes, and how companies can handle increasingly complex data infrastructures and formats. Hear about lakeFS’s collaboration with Legofest, lakeFS’s approach to helping users collaborate on data lakes, and how to overcome the challenges of working with multimodal data.</p>
<p><br>Additional materials: ⁠<a href="https://www.superdatascience.com/914">www.superdatascience.com/914⁠</a></p>
<p><br></p>
<p>This episode is brought to you by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN">⁠Dell AI Factory with NVIDIA⁠</a>.</p>]]>
      </content:encoded>
      <itunes:duration>1552</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[43e1480e-7469-11f0-af80-73f91d220013]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7728592050.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>913: LLM Pre-Training and Post-Training 101, with Julien Launay</title>
      <description>Julien Launay launched Adaptive to give data science teams in business enterprises their “RLOps tooling” to make reinforcement learning easier. Talking to Jon Krohn, Julien says, “Most of our users are data scientists who write Python codes to interface with the system”. Adaptive is also able to work with companies without data science teams, collaborating with partners like Deloitte to add the necessary personnel. Julien is currently working on making his platform more widely available.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/913⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Tue, 12 Aug 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a21c053a-73a1-11f0-8116-bf03a3f924bf/image/b718eb7dece978ee7e840f7b91635641.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Julien Launay launched Adaptive to give data science teams in business enterprises their “RLOps tooling” to make reinforcement learning easier. Talking to Jon Krohn, Julien says, “Most of our users are data scientists who write Python codes to interface with the system”. Adaptive is also able to work with companies without data science teams, collaborating with partners like Deloitte to add the necessary personnel. Julien is currently working on making his platform more widely available.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/913⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Julien Launay launched Adaptive to give data science teams in business enterprises their “RLOps tooling” to make reinforcement learning easier. Talking to Jon Krohn, Julien says, “Most of our users are data scientists who write Python codes to interface with the system”. Adaptive is also able to work with companies without data science teams, collaborating with partners like Deloitte to add the necessary personnel. Julien is currently working on making his platform more widely available.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/913">⁠⁠⁠www.superdatascience.com/913⁠⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>4516</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[a21c053a-73a1-11f0-8116-bf03a3f924bf]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2214012390.mp3?updated=1754677568" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>912: In Case You Missed It in July 2025 </title>
      <description>In this episode of In Case You Missed It, we look back on five great interview episodes from July. Hear from Lilith Bat-Leah (Episode 901), Sinan Ozdemir (Episode 903), Sebastian Gehrmann (Episode 905), Zohar Bronfman (Episode 907) and Robert Ness (Episode 909). They’ll tell you why data-centric machine learning is so important across disciplines, starting with law, and how we can use AI benchmarks and “red teaming” to refine our search for the best AI models. 



Additional materials: ⁠⁠⁠⁠www.superdatascience.com/912



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 08 Aug 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/94216836-6f09-11f0-b2de-f776e97430e9/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this episode of In Case You Missed It, we look back on five great interview episodes from July. Hear from Lilith Bat-Leah (Episode 901), Sinan Ozdemir (Episode 903), Sebastian Gehrmann (Episode 905), Zohar Bronfman (Episode 907) and Robert Ness (Episode 909). They’ll tell you why data-centric machine learning is so important across disciplines, starting with law, and how we can use AI benchmarks and “red teaming” to refine our search for the best AI models. 



Additional materials: ⁠⁠⁠⁠www.superdatascience.com/912



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of In Case You Missed It, we look back on five great interview episodes from July. Hear from Lilith Bat-Leah (Episode 901), Sinan Ozdemir (Episode 903), Sebastian Gehrmann (Episode 905), Zohar Bronfman (Episode 907) and Robert Ness (Episode 909). They’ll tell you why data-centric machine learning is so important across disciplines, starting with law, and how we can use AI benchmarks and “red teaming” to refine our search for the best AI models. </p>
<p><br></p>
<p>Additional materials: ⁠<a href="https://www.superdatascience.com/912">⁠⁠⁠www.superdatascience.com/912</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1958</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[94216836-6f09-11f0-b2de-f776e97430e9]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8804861026.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>911: The Future of Python Notebooks is Here, with Marimo’s Dr. Akshay Agrawal</title>
      <description>Reproducibility, Python notebooks, and data science communities: Software developer Akshay Agrawal speaks to Jon Krohn about Marimo, the next-generation computational notebook for Python, how he built and fostered a thriving community around the product, and what makes this notebook so versatile and accessible for users. 



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/911⁠⁠⁠⁠⁠



This episode is brought to you by ⁠Trainium2, the latest AI chip from AWS ⁠and by the ⁠Dell AI Factory with NVIDIA⁠.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Tue, 05 Aug 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/11f8bfc2-6ee5-11f0-94b1-57fc618df6c6/image/97428fceedc9a8658a05dbeb3b333566.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Reproducibility, Python notebooks, and data science communities: Software developer Akshay Agrawal speaks to Jon Krohn about Marimo, the next-generation computational notebook for Python, how he built and fostered a thriving community around the product, and what makes this notebook so versatile and accessible for users. 



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/911⁠⁠⁠⁠⁠



This episode is brought to you by ⁠Trainium2, the latest AI chip from AWS ⁠and by the ⁠Dell AI Factory with NVIDIA⁠.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Reproducibility, Python notebooks, and data science communities: Software developer Akshay Agrawal speaks to Jon Krohn about Marimo, the next-generation computational notebook for Python, how he built and fostered a thriving community around the product, and what makes this notebook so versatile and accessible for users. </p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/911">⁠www.superdatascience.com/911⁠⁠⁠⁠⁠</a></p>
<p><br></p>
<p>This episode is brought to you by <a href="https://aws.amazon.com/ai/machine-learning/trainium/">⁠<u>Trainium2, the latest AI chip from AWS</u> ⁠</a>and by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN">⁠<u>Dell AI Factory with NVIDIA</u>⁠</a>.</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>3500</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[11f8bfc2-6ee5-11f0-94b1-57fc618df6c6]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6695862709.mp3?updated=1754061622" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>910: AI is Disrupting Journalism: The Good, The Bad and The Opportunity</title>
      <description>In this Five-Minute Friday, Jon Krohn looks into AI’s disruption of the journalism industry and how it has fundamentally reshaped news production. Multiple news outlets’ suing of ChatGPT over its use of copyrighted materials may have taken the most headlines to date, but this isn’t to say news media is rebuffing AI entirely. On the contrary, several outlets have launched summarization and analysis tools for both internal and external use, such as The New York Times’s Echo and The Washington Post’s Haystacker. This episode looks into the ways major news outlets are utilising AI, and what this means for journalists.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/910⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 01 Aug 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/aea0f07a-6d27-11f0-b062-cb752fb01ac2/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this Five-Minute Friday, Jon Krohn looks into AI’s disruption of the journalism industry and how it has fundamentally reshaped news production. Multiple news outlets’ suing of ChatGPT over its use of copyrighted materials may have taken the most headlines to date, but this isn’t to say news media is rebuffing AI entirely. On the contrary, several outlets have launched summarization and analysis tools for both internal and external use, such as The New York Times’s Echo and The Washington Post’s Haystacker. This episode looks into the ways major news outlets are utilising AI, and what this means for journalists.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/910⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this Five-Minute Friday, Jon Krohn looks into AI’s disruption of the journalism industry and how it has fundamentally reshaped news production. Multiple news outlets’ suing of ChatGPT over its use of copyrighted materials may have taken the most headlines to date, but this isn’t to say news media is rebuffing AI entirely. On the contrary, several outlets have launched summarization and analysis tools for both internal and external use, such as The New York Times’s Echo and The Washington Post’s Haystacker. This episode looks into the ways major news outlets are utilising AI, and what this means for journalists.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/910">⁠⁠www.superdatascience.com/910⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>624</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[aea0f07a-6d27-11f0-b062-cb752fb01ac2]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1536039557.mp3?updated=1753868066" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>909: Causal AI, with Dr. Robert Usazuwa Ness</title>
      <description>Researcher at Microsoft Robert Usazuwa Ness talks to Jon Krohn about how to achieve causality in AI with correlation-based learning, the right libraries, and handling statistical inference. When dealing with causal AI, Robert notes how important it is to keep aware of variables in the data that may mislead us and force inaccurate assumptions. Not all variables will be useful. It is essential, then, that any assumptions are grounded in a deeper understanding of how the data were gathered, and not what appears in the dataset. Listen to the episode to hear how you can apply causal AI to your projects.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/907⁠⁠⁠⁠



This episode is brought to you by Trainium2, the latest AI chip from AWS and by the Dell AI Factory with NVIDIA.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Tue, 29 Jul 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/09028b38-6953-11f0-b7ee-9fedb4cc05ee/image/c40fabd0b4af8db809e35fef2f08b2c6.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Researcher at Microsoft Robert Usazuwa Ness talks to Jon Krohn about how to achieve causality in AI with correlation-based learning, the right libraries, and handling statistical inference. When dealing with causal AI, Robert notes how important it is to keep aware of variables in the data that may mislead us and force inaccurate assumptions. Not all variables will be useful. It is essential, then, that any assumptions are grounded in a deeper understanding of how the data were gathered, and not what appears in the dataset. Listen to the episode to hear how you can apply causal AI to your projects.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/907⁠⁠⁠⁠



This episode is brought to you by Trainium2, the latest AI chip from AWS and by the Dell AI Factory with NVIDIA.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Researcher at Microsoft Robert Usazuwa Ness talks to Jon Krohn about how to achieve causality in AI with correlation-based learning, the right libraries, and handling statistical inference. When dealing with causal AI, Robert notes how important it is to keep aware of variables in the data that may mislead us and force inaccurate assumptions. Not all variables will be useful. It is essential, then, that any assumptions are grounded in a deeper understanding of how the data were gathered, and not what appears in the dataset. Listen to the episode to hear how you can apply causal AI to your projects.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/909">www.superdatascience.com/907⁠⁠⁠⁠</a></p>
<p><br></p>
<p>This episode is brought to you by <a href="https://aws.amazon.com/ai/machine-learning/trainium/"><u>Trainium2, the latest AI chip from AWS</u> </a>and by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN"><u>Dell AI Factory with NVIDIA</u></a>.</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>4947</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[09028b38-6953-11f0-b7ee-9fedb4cc05ee]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8961461336.mp3?updated=1753770662" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>908: AI Agents Blackmail Humans 96% of the Time (Agentic Misalignment)</title>
      <description>The moral and ethical implications of letting AI take the wheel in business, as revealed by Anthropic: Jon Krohn looks into Anthropic’s latest research on how to use and deploy LLMs safely, specifically in business environments. The team designed scenarios to test the behavior of AI agents when given a goal and a set of obstacles to reach it. Those obstacles included 1) threats to the AI’s continued operation, and 2) conflict between the AI’s goals and the goals of the company. Hear Jon break down the results of this research in this Five-Minute Friday.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/908⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 25 Jul 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/88d05f26-67a4-11f0-819c-dfb625c49cfb/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>The moral and ethical implications of letting AI take the wheel in business, as revealed by Anthropic: Jon Krohn looks into Anthropic’s latest research on how to use and deploy LLMs safely, specifically in business environments. The team designed scenarios to test the behavior of AI agents when given a goal and a set of obstacles to reach it. Those obstacles included 1) threats to the AI’s continued operation, and 2) conflict between the AI’s goals and the goals of the company. Hear Jon break down the results of this research in this Five-Minute Friday.

Additional materials: ⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/908⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>The moral and ethical implications of letting AI take the wheel in business, as revealed by Anthropic: Jon Krohn looks into Anthropic’s latest research on how to use and deploy LLMs safely, specifically in business environments. The team designed scenarios to test the behavior of AI agents when given a goal and a set of obstacles to reach it. Those obstacles included 1) threats to the AI’s continued operation, and 2) conflict between the AI’s goals and the goals of the company. Hear Jon break down the results of this research in this Five-Minute Friday.</p>
<p><br>Additional materials: ⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/908">⁠www.superdatascience.com/908⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>530</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[88d05f26-67a4-11f0-819c-dfb625c49cfb]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3159734349.mp3?updated=1753265756" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>907: Neuroscience, AI and the Limitations of LLMs, with Dr. Zohar Bronfman</title>
      <description>“Intelligence has many forms,” says Zohar Bronfman, who speaks with Jon Krohn about the fascinating intersection between computational neuroscience and philosophy, and how it has brought him closer to understanding what is necessary to develop human-like intelligence in machines, as well as his motivations for launching Pecan AI and why predictive models outstrip generative models in business. 



Additional materials: ⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/907⁠⁠⁠



This episode is brought to you⁠⁠⁠ by,  ⁠⁠⁠⁠Adverity, the conversational analytics platform⁠⁠⁠⁠ and by the ⁠⁠⁠⁠Dell AI Factory with NVIDIA⁠⁠⁠⁠.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn: 


  (03:47) Why LLMs aren’t bringing us closer to AGI

  (33:44) About Pecan AI

  (51:03) Why data modeling is so challenging

  (1:01:25) How Pecan AI makes its tools widely accessible</description>
      <pubDate>Tue, 22 Jul 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b5a6ed0c-6147-11f0-8736-cb83f547bac7/image/226adb9340cdeb2e341af1ceb1c3e333.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>“Intelligence has many forms,” says Zohar Bronfman, who speaks with Jon Krohn about the fascinating intersection between computational neuroscience and philosophy, and how it has brought him closer to understanding what is necessary to develop human-like intelligence in machines, as well as his motivations for launching Pecan AI and why predictive models outstrip generative models in business. 



Additional materials: ⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/907⁠⁠⁠



This episode is brought to you⁠⁠⁠ by,  ⁠⁠⁠⁠Adverity, the conversational analytics platform⁠⁠⁠⁠ and by the ⁠⁠⁠⁠Dell AI Factory with NVIDIA⁠⁠⁠⁠.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn: 


  (03:47) Why LLMs aren’t bringing us closer to AGI

  (33:44) About Pecan AI

  (51:03) Why data modeling is so challenging

  (1:01:25) How Pecan AI makes its tools widely accessible</itunes:summary>
      <content:encoded>
        <![CDATA[<p>“Intelligence has many forms,” says Zohar Bronfman, who speaks with Jon Krohn about the fascinating intersection between computational neuroscience and philosophy, and how it has brought him closer to understanding what is necessary to develop human-like intelligence in machines, as well as his motivations for launching Pecan AI and why predictive models outstrip generative models in business. </p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/907">www.superdatascience.com/907⁠⁠⁠</a></p>
<p><br></p>
<p>This episode is brought to you<a href="https://aws.amazon.com/ai/machine-learning/trainium/">⁠⁠⁠</a> by,  <a href="https://eu1.hubs.ly/H0jxK210">⁠⁠⁠⁠<u>Adverity, the conversational analytics platform</u>⁠⁠⁠⁠</a> and by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN">⁠⁠⁠⁠<u>Dell AI Factory with NVIDIA</u>⁠⁠⁠⁠</a>.</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn: </p>
<ul>
  <li>(03:47) Why LLMs aren’t bringing us closer to AGI</li>
  <li>(33:44) About Pecan AI</li>
  <li>(51:03) Why data modeling is so challenging</li>
  <li>(1:01:25) How Pecan AI makes its tools widely accessible</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4876</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[b5a6ed0c-6147-11f0-8736-cb83f547bac7]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3468510615.mp3?updated=1753163815" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>906: How Prof. Jason Corso Solved Computer Vision’s Data Problem</title>
      <description>Jason Corso speaks to Jon Krohn in this Five-Minute Friday all about Voxel51’s latest tool, Verified Auto-Labelling, and the company’s incredible success in developing popular tools for computer vision.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/906⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 18 Jul 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/cfaddb1a-5e46-11f0-abff-ef19306795ee/image/2310df69a6f4f35d7bf4eeef305bde13.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Jason Corso speaks to Jon Krohn in this Five-Minute Friday all about Voxel51’s latest tool, Verified Auto-Labelling, and the company’s incredible success in developing popular tools for computer vision.



Additional materials: ⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/906⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jason Corso speaks to Jon Krohn in this Five-Minute Friday all about Voxel51’s latest tool, Verified Auto-Labelling, and the company’s incredible success in developing popular tools for computer vision.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/906">⁠www.superdatascience.com/906⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1769</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[cfaddb1a-5e46-11f0-abff-ef19306795ee]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7615886716.mp3?updated=1752232168" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>905: Why RAG Makes LLMs Less Safe (And How to Fix It), with Bloomberg’s Dr. Sebastian Gehrmann</title>
      <description>RAG LLMs are not safer: Sebastian Gehrmann speaks to Jon Krohn about his latest research into how retrieval-augmented generation (RAG) actually makes LLMs less safe, the three ‘H’s for gauging the effectivity and value of a RAG, and the custom guardrails and procedures we need to use to ensure our RAG is fit-for-purpose and secure. This is a great episode for anyone who wants to know how to work with RAG in the context of LLMs, as you’ll hear how to select the best model for purpose, useful approaches and taxonomies to keep your projects secure, and which models he finds safest when RAG is applied.



Additional materials: ⁠⁠⁠⁠⁠⁠www.superdatascience.com/905⁠⁠



This episode is brought to you⁠ by,  ⁠⁠⁠Adverity, the conversational analytics platform⁠⁠⁠ and by the ⁠⁠⁠Dell AI Factory with NVIDIA⁠⁠⁠.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn: 


  (03:28) Findings from the paper “RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models”

  (09:35) What attack surfaces are in the context of AI

  (38:51) Small versus large models with RAG

  (46:27) How to select an LLM with safety in mind</description>
      <pubDate>Tue, 15 Jul 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/18306712-5cc2-11f0-ba45-43402986c567/image/666d98d6dfa1422a347b31dca1ecc6d5.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>RAG LLMs are not safer: Sebastian Gehrmann speaks to Jon Krohn about his latest research into how retrieval-augmented generation (RAG) actually makes LLMs less safe, the three ‘H’s for gauging the effectivity and value of a RAG, and the custom guardrails and procedures we need to use to ensure our RAG is fit-for-purpose and secure. This is a great episode for anyone who wants to know how to work with RAG in the context of LLMs, as you’ll hear how to select the best model for purpose, useful approaches and taxonomies to keep your projects secure, and which models he finds safest when RAG is applied.



Additional materials: ⁠⁠⁠⁠⁠⁠www.superdatascience.com/905⁠⁠



This episode is brought to you⁠ by,  ⁠⁠⁠Adverity, the conversational analytics platform⁠⁠⁠ and by the ⁠⁠⁠Dell AI Factory with NVIDIA⁠⁠⁠.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn: 


  (03:28) Findings from the paper “RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models”

  (09:35) What attack surfaces are in the context of AI

  (38:51) Small versus large models with RAG

  (46:27) How to select an LLM with safety in mind</itunes:summary>
      <content:encoded>
        <![CDATA[<p>RAG LLMs are not safer: Sebastian Gehrmann speaks to Jon Krohn about his latest research into how retrieval-augmented generation (RAG) actually makes LLMs less safe, the three ‘H’s for gauging the effectivity and value of a RAG, and the custom guardrails and procedures we need to use to ensure our RAG is fit-for-purpose and secure. This is a great episode for anyone who wants to know how to work with RAG in the context of LLMs, as you’ll hear how to select the best model for purpose, useful approaches and taxonomies to keep your projects secure, and which models he finds safest when RAG is applied.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠<a href="https://www.superdatascience.com/905">⁠⁠www.superdatascience.com/905⁠⁠</a></p>
<p><br></p>
<p>This episode is brought to you<a href="https://aws.amazon.com/ai/machine-learning/trainium/">⁠</a> by,  <a href="https://eu1.hubs.ly/H0jxK210">⁠⁠⁠<u>Adverity, the conversational analytics platform</u>⁠⁠⁠</a> and by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN">⁠⁠⁠<u>Dell AI Factory with NVIDIA</u>⁠⁠⁠</a>.</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn: </p>
<ul>
  <li>(03:28) Findings from the paper “RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models”</li>
  <li>(09:35) What attack surfaces are in the context of AI</li>
  <li>(38:51) Small versus large models with RAG</li>
  <li>(46:27) How to select an LLM with safety in mind</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>3469</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[18306712-5cc2-11f0-ba45-43402986c567]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5498286974.mp3?updated=1752067464" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>904: A.I. is Disrupting the Entire Advertising Industry</title>
      <description>In this Five-Minute Friday, Jon Krohn reveals how AI is taking on the glitzy world of advertising. Bold claims from Meta and OpenAI contend that users will soon be able to plug in what they want and have AI churn out an ad campaign for little to no cost are shaking the advertising industry to its core. The fact that the four biggest sellers of ads (Google, Meta, Amazon, and ByteDance) are digital companies and accounted for over half of the global market in 2024 adds salt to the wound. Hear the three ways that AI is disrupting the industry, and who (or what) has the most influence on digital consumers to date.



Additional materials: ⁠⁠⁠⁠⁠⁠www.superdatascience.com/904



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 11 Jul 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f6dd1e34-57f3-11f0-a35f-0b829cc17503/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this Five-Minute Friday, Jon Krohn reveals how AI is taking on the glitzy world of advertising. Bold claims from Meta and OpenAI contend that users will soon be able to plug in what they want and have AI churn out an ad campaign for little to no cost are shaking the advertising industry to its core. The fact that the four biggest sellers of ads (Google, Meta, Amazon, and ByteDance) are digital companies and accounted for over half of the global market in 2024 adds salt to the wound. Hear the three ways that AI is disrupting the industry, and who (or what) has the most influence on digital consumers to date.



Additional materials: ⁠⁠⁠⁠⁠⁠www.superdatascience.com/904



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this Five-Minute Friday, Jon Krohn reveals how AI is taking on the glitzy world of advertising. Bold claims from Meta and OpenAI contend that users will soon be able to plug in what they want and have AI churn out an ad campaign for little to no cost are shaking the advertising industry to its core. The fact that the four biggest sellers of ads (Google, Meta, Amazon, and ByteDance) are digital companies and accounted for over half of the global market in 2024 adds salt to the wound. Hear the three ways that AI is disrupting the industry, and who (or what) has the most influence on digital consumers to date.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/904">www.superdatascience.com/904</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>554</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[f6dd1e34-57f3-11f0-a35f-0b829cc17503]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3257216763.mp3?updated=1752151036" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>903: LLM Benchmarks Are Lying to You (And What to Do Instead), with Sinan Ozdemir</title>
      <description>Has AI benchmarking reached its limit, and what do we have to fill this gap? Sinan Ozdemir speaks to Jon Krohn about the lack of transparency in training data and the necessity of human-led quality assurance to detect AI hallucinations, when and why to be skeptical of AI benchmarks, and the future of benchmarking agentic and multimodal models.



Additional materials: ⁠⁠⁠⁠⁠www.superdatascience.com/903⁠⁠⁠⁠



This episode is brought to you by Trainium2, the latest AI chip from AWS, by  ⁠⁠Adverity, the conversational analytics platform⁠⁠ and by the ⁠⁠Dell AI Factory with NVIDIA⁠⁠.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn: 


  (16:48) Sinan’s new podcast, Practically Intelligent

  (21:54) What to know about the limits of AI benchmarking

  (53:22) Alternatives to AI benchmarks

  (1:01:23) The difficulties in getting a model to recognize its mistakes</description>
      <pubDate>Tue, 08 Jul 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/92247b9c-5b0c-11f0-88e2-438149254069/image/deb42b839ac9d594ef2a0f5895e9e61c.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Has AI benchmarking reached its limit, and what do we have to fill this gap? Sinan Ozdemir speaks to Jon Krohn about the lack of transparency in training data and the necessity of human-led quality assurance to detect AI hallucinations, when and why to be skeptical of AI benchmarks, and the future of benchmarking agentic and multimodal models.



Additional materials: ⁠⁠⁠⁠⁠www.superdatascience.com/903⁠⁠⁠⁠



This episode is brought to you by Trainium2, the latest AI chip from AWS, by  ⁠⁠Adverity, the conversational analytics platform⁠⁠ and by the ⁠⁠Dell AI Factory with NVIDIA⁠⁠.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn: 


  (16:48) Sinan’s new podcast, Practically Intelligent

  (21:54) What to know about the limits of AI benchmarking

  (53:22) Alternatives to AI benchmarks

  (1:01:23) The difficulties in getting a model to recognize its mistakes</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Has AI benchmarking reached its limit, and what do we have to fill this gap? Sinan Ozdemir speaks to Jon Krohn about the lack of transparency in training data and the necessity of human-led quality assurance to detect AI hallucinations, when and why to be skeptical of AI benchmarks, and the future of benchmarking agentic and multimodal models.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠<a href="https://www.superdatascience.com/903">⁠www.superdatascience.com/903⁠</a>⁠⁠⁠</p>
<p><br></p>
<p>This episode is brought to you by <a href="https://aws.amazon.com/ai/machine-learning/trainium/"><u>Trainium2, the latest AI chip from AWS,</u></a> by  <a href="https://eu1.hubs.ly/H0jxK210">⁠⁠<u>Adverity, the conversational analytics platform</u>⁠⁠</a> and by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN">⁠⁠<u>Dell AI Factory with NVIDIA</u>⁠⁠</a>.</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn: </p>
<ul>
  <li>(16:48) Sinan’s new podcast, Practically Intelligent</li>
  <li>(21:54) What to know about the limits of AI benchmarking</li>
  <li>(53:22) Alternatives to AI benchmarks</li>
  <li>(1:01:23) The difficulties in getting a model to recognize its mistakes</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>5300</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[92247b9c-5b0c-11f0-88e2-438149254069]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4709835756.mp3?updated=1752060782" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>902: In Case You Missed It in June 2025</title>
      <description>In this episode of “In Case You Missed It”, Jon recaps his June interviews on The SuperDataScience Podcast. Hear from Diane Hare, Avery Smith, Kirill Eremenko, and Shaun Johnson as they talk about the best portfolios for AI practitioners, how to stand out in a saturated candidate market for AI roles, how to tell when an AI startup is going places, and ways to lead AI change in business.



Additional materials: ⁠⁠⁠www.superdatascience.com/902



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 04 Jul 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/39541788-5671-11f0-9d35-e7e94d8bcd2c/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this episode of “In Case You Missed It”, Jon recaps his June interviews on The SuperDataScience Podcast. Hear from Diane Hare, Avery Smith, Kirill Eremenko, and Shaun Johnson as they talk about the best portfolios for AI practitioners, how to stand out in a saturated candidate market for AI roles, how to tell when an AI startup is going places, and ways to lead AI change in business.



Additional materials: ⁠⁠⁠www.superdatascience.com/902



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of “In Case You Missed It”, Jon recaps his June interviews on <em>The SuperDataScience Podcast</em>. Hear from Diane Hare, Avery Smith, Kirill Eremenko, and Shaun Johnson as they talk about the best portfolios for AI practitioners, how to stand out in a saturated candidate market for AI roles, how to tell when an AI startup is going places, and ways to lead AI change in business.</p>
<p><br></p>
<p>Additional materials: ⁠<a href="https://www.superdatascience.com/902">⁠⁠www.superdatascience.com/902</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1769</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[39541788-5671-11f0-9d35-e7e94d8bcd2c]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9707951924.mp3?updated=1751371395" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>901: Automating Legal Work with Data-Centric ML (feat. Lilith Bat-Leah)</title>
      <description>Senior Director of AI Labs for Epiq Lilith Bat-Leah speaks to Jon Krohn about the ways AI have disrupted the legal industry using LLMs and retrieval-augmented generation (RAG), as well as how the data-centric machine learning research movement (DMLR) is systematically improving data quality, and why that is so important. 



Additional materials: ⁠⁠⁠⁠⁠www.superdatascience.com/901⁠⁠⁠⁠



This episode is brought to you by the ⁠⁠Dell AI Factory with NVIDIA⁠⁠ and Adverity, the conversational analytics platform⁠⁠⁠.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


    

(05:45) Deciphering legal tech terms (TAR, e-discovery)


    

(13:47) How legal firms use data and AI


    

(29:01) All about data-centric machine learning research (DMLR)


    

(46:58) Lilith’s career journey in the AI industry</description>
      <pubDate>Tue, 01 Jul 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ab053466-532e-11f0-87e5-230994d2e87e/image/857729ebe430a14dcd6b3c87e2190c3a.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Senior Director of AI Labs for Epiq Lilith Bat-Leah speaks to Jon Krohn about the ways AI have disrupted the legal industry using LLMs and retrieval-augmented generation (RAG), as well as how the data-centric machine learning research movement (DMLR) is systematically improving data quality, and why that is so important. 



Additional materials: ⁠⁠⁠⁠⁠www.superdatascience.com/901⁠⁠⁠⁠



This episode is brought to you by the ⁠⁠Dell AI Factory with NVIDIA⁠⁠ and Adverity, the conversational analytics platform⁠⁠⁠.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


    

(05:45) Deciphering legal tech terms (TAR, e-discovery)


    

(13:47) How legal firms use data and AI


    

(29:01) All about data-centric machine learning research (DMLR)


    

(46:58) Lilith’s career journey in the AI industry</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Senior Director of AI Labs for Epiq Lilith Bat-Leah speaks to Jon Krohn about the ways AI have disrupted the legal industry using LLMs and retrieval-augmented generation (RAG), as well as how the data-centric machine learning research movement (DMLR) is systematically improving data quality, and why that is so important. </p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠<a href="https://www.superdatascience.com/901">⁠www.superdatascience.com/901⁠</a>⁠⁠⁠</p>
<p><br></p>
<p>This episode is brought to you by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN">⁠⁠<u>Dell AI Factory with NVIDIA</u>⁠⁠</a> and <a href="https://eu1.hubs.ly/H0jxK210"><u>Adverity, the conversational analytics platform</u>⁠⁠⁠</a>.</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>  </li>
<li>(05:45) Deciphering legal tech terms (TAR, e-discovery)</li>

  <li>  </li>
<li>(13:47) How legal firms use data and AI</li>

  <li>  </li>
<li>(29:01) All about data-centric machine learning research (DMLR)</li>

  <li>  </li>
<li>(46:58) Lilith’s career journey in the AI industry</li>

</ul>]]>
      </content:encoded>
      <itunes:duration>3972</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[ab053466-532e-11f0-87e5-230994d2e87e]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2265605976.mp3?updated=1752060886" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>900: 95-Year-Old Annie on How to Stay Healthy and Happy</title>
      <description>“Stay happy and healthy”: In this special Five-Minute Friday, Jon Krohn speaks with Annie, his grandmother, on her 95th birthday. Hear how she is physically and mentally coping with illnesses that limit her mobility and the joys of having a pet.



Additional materials: ⁠⁠⁠⁠⁠⁠www.superdatascience.com/900⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 27 Jun 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/53e43d54-51c0-11f0-8529-d3c44bfaebfa/image/bd629d12af5a39b12b956c9f50cea7a5.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>“Stay happy and healthy”: In this special Five-Minute Friday, Jon Krohn speaks with Annie, his grandmother, on her 95th birthday. Hear how she is physically and mentally coping with illnesses that limit her mobility and the joys of having a pet.



Additional materials: ⁠⁠⁠⁠⁠⁠www.superdatascience.com/900⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>“Stay happy and healthy”: In this special Five-Minute Friday, Jon Krohn speaks with Annie, his grandmother, on her 95th birthday. Hear how she is physically and mentally coping with illnesses that limit her mobility and the joys of having a pet.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠<a href="https://www.superdatascience.com/900">⁠⁠www.superdatascience.com/900⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>906</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[53e43d54-51c0-11f0-8529-d3c44bfaebfa]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5533385872.mp3?updated=1750855014" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>899: Landing $200k+ AI Roles: Real Cases from the SuperDataScience Community, with Kirill Eremenko</title>
      <description>Data science skills, a data science bootcamp, and why Python and SQL still reign supreme: In this episode, Kirill Eremenko returns to the podcast to speak to Jon Krohn about SuperDataScience subscriber success stories, where to focus in a field that is evolving incredibly quickly, and why in-person working and networking might give you the edge over other candidates in landing a top AI role.



Additional materials: ⁠⁠⁠⁠www.superdatascience.com/899⁠⁠⁠



This episode is brought to you by  ⁠Adverity, the conversational analytics platform⁠ and by the ⁠Dell AI Factory with NVIDIA⁠.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


    

(04:35) Stories from five SuperDataScience subscribers


    

(27:32) How to secure a career in a fast-paced industry


    

(44:19) How to stand out against huge competition in data science


    

(1:01:40) The importance of communication in data science


    

(1:16:41) Where to focus your skills in AI engineering</description>
      <pubDate>Tue, 24 Jun 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8c9f8a82-4daf-11f0-b26d-b743d9cb36d6/image/ff59b424687cc53cbab0e8032991603c.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Data science skills, a data science bootcamp, and why Python and SQL still reign supreme: In this episode, Kirill Eremenko returns to the podcast to speak to Jon Krohn about SuperDataScience subscriber success stories, where to focus in a field that is evolving incredibly quickly, and why in-person working and networking might give you the edge over other candidates in landing a top AI role.



Additional materials: ⁠⁠⁠⁠www.superdatascience.com/899⁠⁠⁠



This episode is brought to you by  ⁠Adverity, the conversational analytics platform⁠ and by the ⁠Dell AI Factory with NVIDIA⁠.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


    

(04:35) Stories from five SuperDataScience subscribers


    

(27:32) How to secure a career in a fast-paced industry


    

(44:19) How to stand out against huge competition in data science


    

(1:01:40) The importance of communication in data science


    

(1:16:41) Where to focus your skills in AI engineering</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Data science skills, a data science bootcamp, and why Python and SQL still reign supreme: In this episode, Kirill Eremenko returns to the podcast to speak to Jon Krohn about SuperDataScience subscriber success stories, where to focus in a field that is evolving incredibly quickly, and why in-person working and networking might give you the edge over other candidates in landing a top AI role.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠<a href="https://www.superdatascience.com/899">www.superdatascience.com/899</a>⁠⁠⁠</p>
<p><br></p>
<p>This episode is brought to you by  <a href="https://eu1.hubs.ly/H0jxK210">⁠<u>Adverity, the conversational analytics platform</u>⁠</a> and by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN">⁠<u>Dell AI Factory with NVIDIA</u>⁠</a>.</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>  </li>
<li>(04:35) Stories from five SuperDataScience subscribers</li>

  <li>  </li>
<li>(27:32) How to secure a career in a fast-paced industry</li>

  <li>  </li>
<li>(44:19) How to stand out against huge competition in data science</li>

  <li>  </li>
<li>(1:01:40) The importance of communication in data science</li>

  <li>  </li>
<li>(1:16:41) Where to focus your skills in AI engineering</li>

</ul>]]>
      </content:encoded>
      <itunes:duration>5592</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[8c9f8a82-4daf-11f0-b26d-b743d9cb36d6]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9599930116.mp3?updated=1752060909" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>898: My Four-Hour Agentic AI Workshop is Live and 100% Free</title>
      <description>In this Five-Minute Friday, Jon Krohn announces his new, free workshop on Agentic AI. On this four-hour comprehensive course, you’ll learn the key terminology for working with these flexible, multi-agent systems and then get to grips with developing and deploying this artificial “team of experts” for all your AI-driven projects. 

Additional materials: ⁠⁠⁠⁠⁠www.superdatascience.com/898⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 20 Jun 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/90da84f8-4cec-11f0-93dd-6bb784805de3/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this Five-Minute Friday, Jon Krohn announces his new, free workshop on Agentic AI. On this four-hour comprehensive course, you’ll learn the key terminology for working with these flexible, multi-agent systems and then get to grips with developing and deploying this artificial “team of experts” for all your AI-driven projects. 

Additional materials: ⁠⁠⁠⁠⁠www.superdatascience.com/898⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this Five-Minute Friday, Jon Krohn announces his new, free workshop on Agentic AI. On this four-hour comprehensive course, you’ll learn the key terminology for working with these flexible, multi-agent systems and then get to grips with developing and deploying this artificial “team of experts” for all your AI-driven projects. </p>
<p><br>Additional materials: ⁠⁠⁠⁠<a href="https://www.superdatascience.com/898">⁠www.superdatascience.com/898⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>306</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[90da84f8-4cec-11f0-93dd-6bb784805de3]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6032790015.mp3?updated=1750324238" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>897: How to Enable Enterprise AI Transformation, with Strategy Consultant Diane Hare</title>
      <description>Diane Hare talks to Jon Krohn about the power of storytelling for corporate buy-in of AI initiatives, how to actively implement AI to transform organizations, and how emerging professionals can upskill themselves. Hear how she discovered her background in storytelling at Ernst &amp; Young and her work with Simon Sinek, which she finds to be integral to her process. Inspired by Sinek’s aphorism “start with why”, Diane notes that many companies neglect this crucial part of their mission because they never take the time to work on it.



Additional materials: ⁠⁠⁠www.superdatascience.com/897⁠⁠



This episode is brought to you by Trainium2, the latest AI chip from AWS, by Adverity, the conversational analytics platform and by the Dell AI Factory with NVIDIA.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


    

(04:51) How Y Carrot works with BizLove


    

(14:19) How BizLove prioritizes change management


    

(29:18) How to upskill effectively


    

(42:37) How BizLove integrated data from two enterprises


    

(48:52) How to enable change in your business</description>
      <pubDate>Tue, 17 Jun 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fec4eab4-483a-11f0-aea1-23298e814f52/image/1bb4ab4a341808ed9fb46f168f35ac23.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Diane Hare talks to Jon Krohn about the power of storytelling for corporate buy-in of AI initiatives, how to actively implement AI to transform organizations, and how emerging professionals can upskill themselves. Hear how she discovered her background in storytelling at Ernst &amp; Young and her work with Simon Sinek, which she finds to be integral to her process. Inspired by Sinek’s aphorism “start with why”, Diane notes that many companies neglect this crucial part of their mission because they never take the time to work on it.



Additional materials: ⁠⁠⁠www.superdatascience.com/897⁠⁠



This episode is brought to you by Trainium2, the latest AI chip from AWS, by Adverity, the conversational analytics platform and by the Dell AI Factory with NVIDIA.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


    

(04:51) How Y Carrot works with BizLove


    

(14:19) How BizLove prioritizes change management


    

(29:18) How to upskill effectively


    

(42:37) How BizLove integrated data from two enterprises


    

(48:52) How to enable change in your business</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Diane Hare talks to Jon Krohn about the power of storytelling for corporate buy-in of AI initiatives, how to actively implement AI to transform organizations, and how emerging professionals can upskill themselves. Hear how she discovered her background in storytelling at Ernst &amp; Young and her work with Simon Sinek, which she finds to be integral to her process. Inspired by Sinek’s aphorism “start with why”, Diane notes that many companies neglect this crucial part of their mission because they never take the time to work on it.</p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠<a href="https://www.superdatascience.com/897">www.superdatascience.com/897</a>⁠⁠</p>
<p><br></p>
<p>This episode is brought to you by <a href="https://aws.amazon.com/ai/machine-learning/trainium/"><u>Trainium2, the latest AI chip from AWS</u></a>, by <a href="https://eu1.hubs.ly/H0jxK210"><u>Adverity, the conversational analytics platform</u></a> and by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN"><u>Dell AI Factory with NVIDIA</u></a>.</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>  </li>
<li>(04:51) How Y Carrot works with BizLove</li>

  <li>  </li>
<li>(14:19) How BizLove prioritizes change management</li>

  <li>  </li>
<li>(29:18) How to upskill effectively</li>

  <li>  </li>
<li>(42:37) How BizLove integrated data from two enterprises</li>

  <li>  </li>
<li>(48:52) How to enable change in your business</li>

</ul>]]>
      </content:encoded>
      <itunes:duration>3762</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[fec4eab4-483a-11f0-aea1-23298e814f52]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1439721009.mp3?updated=1752060937" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>896: AI (Probably) Isn’t Taking Your Job (At Least Anytime Soon)</title>
      <description>The Economist reported that global Google searches for "AI unemployment" hit an all-time high earlier this year. But do we have to worry about AI taking our jobs? In this week’s Five-Minute Friday, Jon Krohn investigates whether the rise of AI has directly led to an increase in unemployment. 



Additional materials: ⁠⁠⁠⁠www.superdatascience.com/896



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 13 Jun 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b2c84efe-4767-11f0-a45e-4b17efa20216/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>The Economist reported that global Google searches for "AI unemployment" hit an all-time high earlier this year. But do we have to worry about AI taking our jobs? In this week’s Five-Minute Friday, Jon Krohn investigates whether the rise of AI has directly led to an increase in unemployment. 



Additional materials: ⁠⁠⁠⁠www.superdatascience.com/896



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p><em>The Economist </em>reported that global Google searches for "AI unemployment" hit an all-time high earlier this year. But do we have to worry about AI taking our jobs? In this week’s Five-Minute Friday, Jon Krohn investigates whether the rise of AI has directly led to an increase in unemployment. </p>
<p><br></p>
<p>Additional materials: ⁠⁠⁠⁠<a href="https://www.superdatascience.com/896">www.superdatascience.com/896</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>471</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[b2c84efe-4767-11f0-a45e-4b17efa20216]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2808364769.mp3?updated=1749796351" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>895: The Future of Enterprise AI: Investor Shaun Johnson Reveals What Actually Works</title>
      <description>How to get funded by a VC specializing in AI: Head of AIX Ventures Shaun Johnson talks to Jon Krohn about investment strategies, how to simplify AI adoption, why a little competition can be so beneficial to AI startups, and how Big Tech is circumventing anti-monopoly measures.



Additional materials: ⁠⁠www.superdatascience.com/895⁠



This episode is brought to you by the ⁠⁠Dell AI Factory with NVIDIA and by ⁠Adverity, the conversational analytics platform.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


    

(10:36) What Shaun looks for when evaluating early-stage AI startups


    

(19:11) Building out AI startups


    

(41:44) How AI practitioners can future-proof their careers


    

(45:27) How to measure AI impact


    

(53:30) The key verticals ripe for AI disruption</description>
      <pubDate>Tue, 10 Jun 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/5ef0dbe8-415e-11f0-bc4e-fba8e7145caf/image/7cb3e251ca08085d4c6c71e72256ebec.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>How to get funded by a VC specializing in AI: Head of AIX Ventures Shaun Johnson talks to Jon Krohn about investment strategies, how to simplify AI adoption, why a little competition can be so beneficial to AI startups, and how Big Tech is circumventing anti-monopoly measures.



Additional materials: ⁠⁠www.superdatascience.com/895⁠



This episode is brought to you by the ⁠⁠Dell AI Factory with NVIDIA and by ⁠Adverity, the conversational analytics platform.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


    

(10:36) What Shaun looks for when evaluating early-stage AI startups


    

(19:11) Building out AI startups


    

(41:44) How AI practitioners can future-proof their careers


    

(45:27) How to measure AI impact


    

(53:30) The key verticals ripe for AI disruption</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How to get funded by a VC specializing in AI: Head of AIX Ventures Shaun Johnson talks to Jon Krohn about investment strategies, how to simplify AI adoption, why a little competition can be so beneficial to AI startups, and how Big Tech is circumventing anti-monopoly measures.</p>
<p><br></p>
<p>Additional materials: ⁠<a href="https://www.superdatascience.com/895">⁠www.superdatascience.com/895⁠</a></p>
<p><br></p>
<p>This episode is brought to you by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN">⁠⁠<u>Dell AI Factory with NVIDIA </u></a>and by <a href="https://eu1.hubs.ly/H0jxK210">⁠<u>Adverity, the conversational analytics platform</u>.</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>  </li>
<li>(10:36) What Shaun looks for when evaluating early-stage AI startups</li>

  <li>  </li>
<li>(19:11) Building out AI startups</li>

  <li>  </li>
<li>(41:44) How AI practitioners can future-proof their careers</li>

  <li>  </li>
<li>(45:27) How to measure AI impact</li>

  <li>  </li>
<li>(53:30) The key verticals ripe for AI disruption</li>

</ul>]]>
      </content:encoded>
      <itunes:duration>4586</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[5ef0dbe8-415e-11f0-bc4e-fba8e7145caf]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5307409642.mp3?updated=1752060973" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>894: In Case You Missed It in May 2025</title>
      <description>In this episode of “In Case You Missed It”, Jon Krohn takes clips from interviews with guests in May 2025. From AI agent integration and RAG-based chatbots to education through virtual reality headsets and data harmonization, this episode explores how industry leaders are developing the tools and technologies that can improve operations, education, healthcare, and marketing. Highlight clips are with John Roese, Global Chief Technology Officer and Chief AI Officer at Dell Technologies (Episode 887), Senior Developer Relations Engineer at Posit, PBC Jeroen Janssens and Lead Data Scientist at Xomnia Thijs Nieuwdorp (Episode 885), Founder of CEEK Mary Spio (Episode 889), and Martin Brunthaler, Co-founder and Chief Technology Officer at Adverity (Episode 891). 



Additional materials: ⁠⁠www.superdatascience.com/894⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 06 Jun 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a425e6bc-4155-11f0-86b0-b78ce3e952f9/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this episode of “In Case You Missed It”, Jon Krohn takes clips from interviews with guests in May 2025. From AI agent integration and RAG-based chatbots to education through virtual reality headsets and data harmonization, this episode explores how industry leaders are developing the tools and technologies that can improve operations, education, healthcare, and marketing. Highlight clips are with John Roese, Global Chief Technology Officer and Chief AI Officer at Dell Technologies (Episode 887), Senior Developer Relations Engineer at Posit, PBC Jeroen Janssens and Lead Data Scientist at Xomnia Thijs Nieuwdorp (Episode 885), Founder of CEEK Mary Spio (Episode 889), and Martin Brunthaler, Co-founder and Chief Technology Officer at Adverity (Episode 891). 



Additional materials: ⁠⁠www.superdatascience.com/894⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of “In Case You Missed It”, Jon Krohn takes clips from interviews with guests in May 2025. From AI agent integration and RAG-based chatbots to education through virtual reality headsets and data harmonization, this episode explores how industry leaders are developing the tools and technologies that can improve operations, education, healthcare, and marketing. Highlight clips are with John Roese, Global Chief Technology Officer and Chief AI Officer at Dell Technologies (Episode 887), Senior Developer Relations Engineer at Posit, PBC Jeroen Janssens and Lead Data Scientist at Xomnia Thijs Nieuwdorp (Episode 885), Founder of CEEK Mary Spio (Episode 889), and Martin Brunthaler, Co-founder and Chief Technology Officer at Adverity (Episode 891). </p>
<p><br></p>
<p>Additional materials: ⁠<a href="https://www.superdatascience.com/894">⁠www.superdatascience.com/894⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1772</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[a425e6bc-4155-11f0-86b0-b78ce3e952f9]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6783802980.mp3?updated=1749049954" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>893: How to Jumpstart Your Data Career (by Applying Like a Scientist), with Avery Smith</title>
      <description>Avery Smith is a passionate and motivational YouTuber and careers educator for data science. In this episode, Jon Krohn asks Avery about the tools and tricks he has learned from personal experience and from his students in how to get ahead in the tech industry. Avery shares the “learning ladder” he uses to help newcomers start on the right foot with great examples from former bootcamp students who have put his theories into practice. And, if you’re using LinkedIn to find jobs, Avery explains why this might be one of the reasons you’re not getting work.



Additional materials: ⁠www.superdatascience.com/893



This episode is brought to you by Adverity, the conversational analytics platform and by the Dell AI Factory with NVIDIA



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (04:02) How to take the jump into a data science career

  (15:19) Avery’s recommended strategy for starting a career in data science

  (18:10) Recommendations for people learning data science with LLMs

  (32:52) What should go into a data science portfolio 

  (46:07) Why Avery prefers practice over theory in teaching data science 

  (48:25) The bare minimum to get your first job in data science</description>
      <pubDate>Tue, 03 Jun 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/63bc151a-3c69-11f0-85cc-f73f5dce00fc/image/9716ee171095c6e7c27813315ccc0870.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Avery Smith is a passionate and motivational YouTuber and careers educator for data science. In this episode, Jon Krohn asks Avery about the tools and tricks he has learned from personal experience and from his students in how to get ahead in the tech industry. Avery shares the “learning ladder” he uses to help newcomers start on the right foot with great examples from former bootcamp students who have put his theories into practice. And, if you’re using LinkedIn to find jobs, Avery explains why this might be one of the reasons you’re not getting work.



Additional materials: ⁠www.superdatascience.com/893



This episode is brought to you by Adverity, the conversational analytics platform and by the Dell AI Factory with NVIDIA



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (04:02) How to take the jump into a data science career

  (15:19) Avery’s recommended strategy for starting a career in data science

  (18:10) Recommendations for people learning data science with LLMs

  (32:52) What should go into a data science portfolio 

  (46:07) Why Avery prefers practice over theory in teaching data science 

  (48:25) The bare minimum to get your first job in data science</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Avery Smith is a passionate and motivational YouTuber and careers educator for data science. In this episode, Jon Krohn asks Avery about the tools and tricks he has learned from personal experience and from his students in how to get ahead in the tech industry. Avery shares the “learning ladder” he uses to help newcomers start on the right foot with great examples from former bootcamp students who have put his theories into practice. And, if you’re using LinkedIn to find jobs, Avery explains why this might be one of the reasons you’re not getting work.</p>
<p><br></p>
<p>Additional materials: ⁠<a href="https://www.superdatascience.com/893">www.superdatascience.com/893</a></p>
<p><br></p>
<p>This episode is brought to you by <a href="https://eu1.hubs.ly/H0jxK210"><u>Adverity, the conversational analytics platform</u></a> and by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN"><u>Dell AI Factory with NVIDIA</u></a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>(04:02) How to take the jump into a data science career</li>
  <li>(15:19) Avery’s recommended strategy for starting a career in data science</li>
  <li>(18:10) Recommendations for people learning data science with LLMs</li>
  <li>(32:52) What should go into a data science portfolio </li>
  <li>(46:07) Why Avery prefers practice over theory in teaching data science </li>
  <li>(48:25) The bare minimum to get your first job in data science </li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4671</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[63bc151a-3c69-11f0-85cc-f73f5dce00fc]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7488379825.mp3?updated=1752061000" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>892: We’re In The AI “Trough of Disillusionment” (and that’s Great!)</title>
      <description>Businesses have entered a “trough of disillusionment” for AI. In this Five-Minute Friday, Jon Krohn learns why Fortune 500 execs are so frustrated with the tools and how they can work their way up the “slope of enlightenment” towards effective AI. Hear why AI takeup hasn’t so far gone to plan in the corporate world and what that world needs from AI to encourage greater business engagement. 



Additional materials: ⁠⁠⁠www.superdatascience.com/892⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 30 May 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/bd161528-3ba8-11f0-8a79-6fe785219dec/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Businesses have entered a “trough of disillusionment” for AI. In this Five-Minute Friday, Jon Krohn learns why Fortune 500 execs are so frustrated with the tools and how they can work their way up the “slope of enlightenment” towards effective AI. Hear why AI takeup hasn’t so far gone to plan in the corporate world and what that world needs from AI to encourage greater business engagement. 



Additional materials: ⁠⁠⁠www.superdatascience.com/892⁠⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Businesses have entered a “trough of disillusionment” for AI. In this Five-Minute Friday, Jon Krohn learns why Fortune 500 execs are so frustrated with the tools and how they can work their way up the “slope of enlightenment” towards effective AI. Hear why AI takeup hasn’t so far gone to plan in the corporate world and what that world needs from AI to encourage greater business engagement. </p>
<p><br></p>
<p>Additional materials: ⁠<a href="https://www.superdatascience.com/892">⁠⁠www.superdatascience.com/892⁠⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>744</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[bd161528-3ba8-11f0-8a79-6fe785219dec]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9108247117.mp3?updated=1748425957" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>891: Conversational AI is Overhauling Data Analytics, with Martin Brunthaler</title>
      <description>Martin Brunthaler talks to Jon Krohn about founding Adverity, a data analytics platform for marketing that simplifies integrating data from multiple sources and crunching them into actionable insights. Learn how Adverity became a data analytics powerhouse serving multiple industries, and why Martin thinks AI will strengthen rather than diminish the job market for data scientists, data analysts, and machine learning engineers.  



Additional materials: www.superdatascience.com/891



Today’s episode is brought to you by Trainium2, the latest AI chip from AWS and by the Dell AI Factory with NVIDIA



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (03:52) How Martin co-founded Adverity

  (14:26) The features of Adverity

  (39:24) If data analysts, data scientists, and ML engineers should worry about Adverity making their job redundant

  (48:29) Martin’s predictions for the future for data analysts and data scientists  

  (51:39) Martin’s tips for success as a CTO</description>
      <pubDate>Tue, 27 May 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/73fdff24-36f1-11f0-8179-a329e2713e2a/image/1c979520f5930cf16c9757905f83bd55.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Martin Brunthaler talks to Jon Krohn about founding Adverity, a data analytics platform for marketing that simplifies integrating data from multiple sources and crunching them into actionable insights. Learn how Adverity became a data analytics powerhouse serving multiple industries, and why Martin thinks AI will strengthen rather than diminish the job market for data scientists, data analysts, and machine learning engineers.  



Additional materials: www.superdatascience.com/891



Today’s episode is brought to you by Trainium2, the latest AI chip from AWS and by the Dell AI Factory with NVIDIA



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (03:52) How Martin co-founded Adverity

  (14:26) The features of Adverity

  (39:24) If data analysts, data scientists, and ML engineers should worry about Adverity making their job redundant

  (48:29) Martin’s predictions for the future for data analysts and data scientists  

  (51:39) Martin’s tips for success as a CTO</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Martin Brunthaler talks to Jon Krohn about founding Adverity, a data analytics platform for marketing that simplifies integrating data from multiple sources and crunching them into actionable insights. Learn how Adverity became a data analytics powerhouse serving multiple industries, and why Martin thinks AI will strengthen rather than diminish the job market for data scientists, data analysts, and machine learning engineers.  </p>
<p><br></p>
<p>Additional materials: <a href="%E2%81%A0%E2%81%A0%E2%81%A0%E2%81%A0https://www.superdatascience.com/891">www.superdatascience.com/891</a></p>
<p><br></p>
<p>Today’s episode is brought to you by <a href="https://aws.amazon.com/ai/machine-learning/trainium/">Trainium2, the latest AI chip from AWS</a> and by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN">Dell AI Factory with NVIDIA</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>(03:52) How Martin co-founded Adverity</li>
  <li>(14:26) The features of Adverity</li>
  <li>(39:24) If data analysts, data scientists, and ML engineers should worry about Adverity making their job redundant</li>
  <li>(48:29) Martin’s predictions for the future for data analysts and data scientists  </li>
  <li>(51:39) Martin’s tips for success as a CTO</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>3728</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[73fdff24-36f1-11f0-8179-a329e2713e2a]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7262546662.mp3?updated=1748345059" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>890: The “State of AI” Report 2025</title>
      <description>In this week’s Five-Minute Friday, Jon Krohn reveals highlights from Stanford University’s AI Index Report. Released a few weeks ago by the Institute for Human-Centered AI, this annual report details the incredible technical advances, policies, and investments in artificial intelligence. Hear which models achieve the best performance relative to their size, in what scenarios top AI systems can outperform humans (and when humans still outperform AI), and more in Jon’s five key takeaways.



Additional materials: ⁠⁠www.superdatascience.com/890⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 23 May 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fb19d9e6-3625-11f0-86e0-63395ed18f7e/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this week’s Five-Minute Friday, Jon Krohn reveals highlights from Stanford University’s AI Index Report. Released a few weeks ago by the Institute for Human-Centered AI, this annual report details the incredible technical advances, policies, and investments in artificial intelligence. Hear which models achieve the best performance relative to their size, in what scenarios top AI systems can outperform humans (and when humans still outperform AI), and more in Jon’s five key takeaways.



Additional materials: ⁠⁠www.superdatascience.com/890⁠⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this week’s Five-Minute Friday, Jon Krohn reveals highlights from Stanford University’s AI Index Report. Released a few weeks ago by the Institute for Human-Centered AI, this annual report details the incredible technical advances, policies, and investments in artificial intelligence. Hear which models achieve the best performance relative to their size, in what scenarios top AI systems can outperform humans (and when humans still outperform AI), and more in Jon’s five key takeaways.</p>
<p><br></p>
<p>Additional materials: ⁠<a href="https://www.superdatascience.com/890">⁠www.superdatascience.com/890⁠⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>404</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[fb19d9e6-3625-11f0-86e0-63395ed18f7e]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7727292430.mp3?updated=1747820021" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>889: AI-Powered Virtual Reality: The Future of Education and Entertainment, with Mary Spio</title>
      <description>Founder of CEEK’s Mary Spio talks to Jon Krohn about how the platform contributes to the emerging community of digital creators with its blockchain-powered virtual experiences. Hear how Mary got her first investors for CEEK and how it is used across industries as diverse as education, entertainment, aviation, and healthcare.



Additional materials: ⁠⁠⁠www.superdatascience.com/889⁠



This episode is brought to you by ⁠⁠Adverity, the conversational analytics platform⁠⁠ and by the ⁠⁠Dell AI Factory with NVIDIA⁠⁠. 



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (03:42) What CEEK is and the multiple industries it serves

  (38:47) How Mary developed VR headsets to reduce nausea experienced by women headset users

  (42:10) The growing potential for immersive experiences

  (44:36) How to mitigate the risks of immersive-experience misuse

  (51:56) Mary’s tips for career success</description>
      <pubDate>Tue, 20 May 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/179f2632-2e85-11f0-a4ee-ef4f91a1e165/image/3ea87298c3ce3810df5435358433bdf1.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Founder of CEEK’s Mary Spio talks to Jon Krohn about how the platform contributes to the emerging community of digital creators with its blockchain-powered virtual experiences. Hear how Mary got her first investors for CEEK and how it is used across industries as diverse as education, entertainment, aviation, and healthcare.



Additional materials: ⁠⁠⁠www.superdatascience.com/889⁠



This episode is brought to you by ⁠⁠Adverity, the conversational analytics platform⁠⁠ and by the ⁠⁠Dell AI Factory with NVIDIA⁠⁠. 



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (03:42) What CEEK is and the multiple industries it serves

  (38:47) How Mary developed VR headsets to reduce nausea experienced by women headset users

  (42:10) The growing potential for immersive experiences

  (44:36) How to mitigate the risks of immersive-experience misuse

  (51:56) Mary’s tips for career success</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Founder of CEEK’s Mary Spio talks to Jon Krohn about how the platform contributes to the emerging community of digital creators with its blockchain-powered virtual experiences. Hear how Mary got her first investors for CEEK and how it is used across industries as diverse as education, entertainment, aviation, and healthcare.</p>
<p><br></p>
<p>Additional materials: ⁠⁠<a href="https://www.superdatascience.com/podcast/889">⁠www.superdatascience.com/889⁠</a></p>
<p><br></p>
<p>This episode is brought to you by <a href="https://eu1.hubs.ly/H0jxK210">⁠⁠<u>Adverity, the conversational analytics platform</u>⁠⁠</a> and by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN">⁠⁠<u>Dell AI Factory with NVIDIA</u>⁠⁠</a>. </p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>(03:42) What CEEK is and the multiple industries it serves</li>
  <li>(38:47) How Mary developed VR headsets to reduce nausea experienced by women headset users</li>
  <li>(42:10) The growing potential for immersive experiences</li>
  <li>(44:36) How to mitigate the risks of immersive-experience misuse</li>
  <li>(51:56) Mary’s tips for career success</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4019</itunes:duration>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6668313466.mp3?updated=1747072742" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>888: Teams of Agents: The Next Frontier in AI Collaboration, with Mike Pell</title>
      <description>Mike Pell speaks to Jon Krohn about The Microsoft Garage, a program that drives the culture of innovation at the tech multinational, and how listeners can apply their principles to foster innovation in their workplace. In this Five-Minute Friday, you’ll hear more about Microsoft’s approaches to agentic AI, the future of human-AI collaboration in the workplace, and why experimentation and curiosity are critical skills for the future of work.



Additional materials: ⁠www.superdatascience.com/888⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 16 May 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/5cc0d25e-2ccf-11f0-8838-07010f6e0490/image/0985f03cc4d3ea68efd907a43f0080f0.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Mike Pell speaks to Jon Krohn about The Microsoft Garage, a program that drives the culture of innovation at the tech multinational, and how listeners can apply their principles to foster innovation in their workplace. In this Five-Minute Friday, you’ll hear more about Microsoft’s approaches to agentic AI, the future of human-AI collaboration in the workplace, and why experimentation and curiosity are critical skills for the future of work.



Additional materials: ⁠www.superdatascience.com/888⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Mike Pell speaks to Jon Krohn about The Microsoft Garage, a program that drives the culture of innovation at the tech multinational, and how listeners can apply their principles to foster innovation in their workplace. In this Five-Minute Friday, you’ll hear more about Microsoft’s approaches to agentic AI, the future of human-AI collaboration in the workplace, and why experimentation and curiosity are critical skills for the future of work.</p>
<p><br></p>
<p>Additional materials: <a href="https://www.superdatascience.com/888">⁠www.superdatascience.com/888⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1892</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[5cc0d25e-2ccf-11f0-8838-07010f6e0490]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2168803635.mp3?updated=1746975114" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>887: Multi-Agent Teams, Quantum Computing and the Future of Work, with Dell’s Global CTO John Roese</title>
      <description>Jon Krohn speaks to John Roese about the promise of multi-agent teams for business, the benefits of agentic AI systems that can identify and complete tasks independently, and how these systems demand new authentication, authorization, security and knowledge-sharing standards. They also discuss how to use AI to refine project ideas down to a core business need, as well as the new and emerging careers in the tech industry and beyond, all thanks to AI.



Additional materials: ⁠⁠www.superdatascience.com/887



This episode is brought to you by ⁠Adverity, the conversational analytics platform⁠ and by the ⁠Dell AI Factory with NVIDIA⁠. 



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


    

(03:54) Why ROI is the most important aspect of an AI-driven project 


    

(14:06) Why high-impact AI projects trigger a flywheel of success


    

(23:32) The future of agentic systems 


    

(30:28) How to manage agentic systems at scale


    

(46:36) The disruptive nature of quantum computing</description>
      <pubDate>Tue, 13 May 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c8c9a466-2a7d-11f0-8d2f-b7dc71d6e5cc/image/b1e6f77562b0babaaf5b9f59ac25a44e.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Jon Krohn speaks to John Roese about the promise of multi-agent teams for business, the benefits of agentic AI systems that can identify and complete tasks independently, and how these systems demand new authentication, authorization, security and knowledge-sharing standards. They also discuss how to use AI to refine project ideas down to a core business need, as well as the new and emerging careers in the tech industry and beyond, all thanks to AI.



Additional materials: ⁠⁠www.superdatascience.com/887



This episode is brought to you by ⁠Adverity, the conversational analytics platform⁠ and by the ⁠Dell AI Factory with NVIDIA⁠. 



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


    

(03:54) Why ROI is the most important aspect of an AI-driven project 


    

(14:06) Why high-impact AI projects trigger a flywheel of success


    

(23:32) The future of agentic systems 


    

(30:28) How to manage agentic systems at scale


    

(46:36) The disruptive nature of quantum computing</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn speaks to John Roese about the promise of multi-agent teams for business, the benefits of agentic AI systems that can identify and complete tasks independently, and how these systems demand new authentication, authorization, security and knowledge-sharing standards. They also discuss how to use AI to refine project ideas down to a core business need, as well as the new and emerging careers in the tech industry and beyond, all thanks to AI.</p>
<p><br></p>
<p>Additional materials: ⁠⁠<a href="https://www.superdatascience.com/podcast/887">www.superdatascience.com/887</a></p>
<p><br></p>
<p>This episode is brought to you by <a href="https://eu1.hubs.ly/H0jxK210">⁠<u>Adverity, the conversational analytics platform</u>⁠</a> and by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN">⁠<u>Dell AI Factory with NVIDIA</u>⁠</a>. </p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>  </li>
<li>(03:54) Why ROI is the most important aspect of an AI-driven project </li>

  <li>  </li>
<li>(14:06) Why high-impact AI projects trigger a flywheel of success</li>

  <li>  </li>
<li>(23:32) The future of agentic systems </li>

  <li>  </li>
<li>(30:28) How to manage agentic systems at scale</li>

  <li>  </li>
<li>(46:36) The disruptive nature of quantum computing</li>

</ul>]]>
      </content:encoded>
      <itunes:duration>3724</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[c8c9a466-2a7d-11f0-8d2f-b7dc71d6e5cc]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5479478707.mp3?updated=1752061057" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>886: In Case You Missed it In April 2025</title>
      <description>Our In Case You Missed It episode for April has clips on NVIDIA’s and Dell’s product and service offers including an overview of NVIDIA’s GPUs, AI Enterprise, and its microservices. You’ll also hear about AWS’ focus on bringing choice to customers and the incredible power of its Graviton CPU, how Zerve opens access to AI deployment, Merck KGaA, Darmstadt, Germany’s multi-chip integration, and why reliance on the cloud might soon become a practice of times past.



Additional materials: ⁠www.superdatascience.com/886⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 09 May 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b08dde50-2a62-11f0-a38c-43b8e60d4d14/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Our In Case You Missed It episode for April has clips on NVIDIA’s and Dell’s product and service offers including an overview of NVIDIA’s GPUs, AI Enterprise, and its microservices. You’ll also hear about AWS’ focus on bringing choice to customers and the incredible power of its Graviton CPU, how Zerve opens access to AI deployment, Merck KGaA, Darmstadt, Germany’s multi-chip integration, and why reliance on the cloud might soon become a practice of times past.



Additional materials: ⁠www.superdatascience.com/886⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Our In Case You Missed It episode for April has clips on NVIDIA’s and Dell’s product and service offers including an overview of NVIDIA’s GPUs, AI Enterprise, and its microservices. You’ll also hear about AWS’ focus on bringing choice to customers and the incredible power of its Graviton CPU, how Zerve opens access to AI deployment, Merck KGaA, Darmstadt, Germany’s multi-chip integration, and why reliance on the cloud might soon become a practice of times past.</p>
<p><br></p>
<p>Additional materials: ⁠<a href="https://www.superdatascience.com/886">www.superdatascience.com/886⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2149</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[b08dde50-2a62-11f0-a38c-43b8e60d4d14]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3358458661.mp3?updated=1746686458" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>885: Python Polars: The Definitive Guide, with Jeroen Janssens and Thijs Nieuwdorp</title>
      <description>Jeroen Janssens and Thijs Nieuwdorp are data frame library Polars’ greatest advocates in this episode with Jon Krohn, where they discuss their book, Python Polars: The Definitive Guide, best practice for using Polars, why Pandas users are switching to Polars for data frame operations in Python, and how the library reduces memory usage and compute time up to 10x more than Pandas. Listen to the episode to be a part of an O’Reilly giveaway!



Additional materials: ⁠www.superdatascience.com/885



This episode is brought to you by Trainium2, the latest AI chip from AWS, by Adverity, the conversational analytics platform and by the Dell AI Factory with NVIDIA.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  
(07:44) Why Jeroen and Thijs wrote Python Polars: The Definitive Guide  



  
(21:54) Best practices in Polars 



  
(25:55) Why Polars has so many users



  
(34:32) The benefits of the Great Tables package



  
(51:06) Jeroen and Thijs’ partnership with NVIDIA and Dell for Python Polars: The Definitive Guide</description>
      <pubDate>Tue, 06 May 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7f3d9d76-2676-11f0-bc55-4335f0e29965/image/6d3ef4a191a0eff7d6cb9f3af6c58b6a.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Jeroen Janssens and Thijs Nieuwdorp are data frame library Polars’ greatest advocates in this episode with Jon Krohn, where they discuss their book, Python Polars: The Definitive Guide, best practice for using Polars, why Pandas users are switching to Polars for data frame operations in Python, and how the library reduces memory usage and compute time up to 10x more than Pandas. Listen to the episode to be a part of an O’Reilly giveaway!



Additional materials: ⁠www.superdatascience.com/885



This episode is brought to you by Trainium2, the latest AI chip from AWS, by Adverity, the conversational analytics platform and by the Dell AI Factory with NVIDIA.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  
(07:44) Why Jeroen and Thijs wrote Python Polars: The Definitive Guide  



  
(21:54) Best practices in Polars 



  
(25:55) Why Polars has so many users



  
(34:32) The benefits of the Great Tables package



  
(51:06) Jeroen and Thijs’ partnership with NVIDIA and Dell for Python Polars: The Definitive Guide</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jeroen Janssens and Thijs Nieuwdorp are data frame library Polars’ greatest advocates in this episode with Jon Krohn, where they discuss their book, <em>Python Polars: The Definitive Guide</em>, best practice for using Polars, why Pandas users are switching to Polars for data frame operations in Python, and how the library reduces memory usage and compute time up to 10x more than Pandas. Listen to the episode to be a part of an O’Reilly giveaway!</p>
<p><br></p>
<p>Additional materials: <a href="https://www.superdatascience.com/podcast/885">⁠www.superdatascience.com/885</a></p>
<p><br></p>
<p>This episode is brought to you by <a href="https://aws.amazon.com/ai/machine-learning/trainium/"><u>Trainium2, the latest AI chip from AWS</u></a>, by <a href="https://eu1.hubs.ly/H0jxK210"><u>Adverity, the conversational analytics platform</u></a> and by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN"><u>Dell AI Factory with NVIDIA</u></a>.</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>
<p>(07:44) Why Jeroen and Thijs wrote Python Polars: The Definitive Guide  </p>
</li>
  <li>
<p>(21:54) Best practices in Polars </p>
</li>
  <li>
<p>(25:55) Why Polars has so many users</p>
</li>
  <li>
<p>(34:32) The benefits of the Great Tables package</p>
</li>
  <li>
<p>(51:06) Jeroen and Thijs’ partnership with NVIDIA and Dell for Python Polars: The Definitive Guide</p>
</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4522</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[7f3d9d76-2676-11f0-bc55-4335f0e29965]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1504001743.mp3?updated=1746424047" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>884: Model Context Protocol (MCP) and Why Everyone’s Talking About It</title>
      <description>Model Context Protocol (MCP) is Anthropic’s hottest tool, with over 1,000 community-built MCP servers in operation by February alone. In this Five-Minute Friday, Jon Krohn explains what took so long for users to catch on: Anthropic released MCP in November 2024. Hear more about the buzz behind MCP, its applications, and how easy it is to get started.



Additional materials: ⁠www.superdatascience.com/884⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 02 May 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9a9ced06-25bd-11f0-bcc3-e3ccdcfa3bb1/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Model Context Protocol (MCP) is Anthropic’s hottest tool, with over 1,000 community-built MCP servers in operation by February alone. In this Five-Minute Friday, Jon Krohn explains what took so long for users to catch on: Anthropic released MCP in November 2024. Hear more about the buzz behind MCP, its applications, and how easy it is to get started.



Additional materials: ⁠www.superdatascience.com/884⁠



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Model Context Protocol (MCP) is Anthropic’s hottest tool, with over 1,000 community-built MCP servers in operation by February alone. In this Five-Minute Friday, Jon Krohn explains what took so long for users to catch on: Anthropic released MCP in November 2024. Hear more about the buzz behind MCP, its applications, and how easy it is to get started.</p>
<p><br></p>
<p>Additional materials: ⁠<a href="https://www.superdatascience.com/884">www.superdatascience.com/884⁠</a></p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>404</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[9a9ced06-25bd-11f0-bcc3-e3ccdcfa3bb1]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7776150515.mp3?updated=1746164019" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>883: Blackwell GPUs Are Now Available at Your Desk, with Sama Bali and Logan Lawler</title>
      <description>Returning after the “Super Bowl of AI”, NVIDIA GTC, Sama Bali and Logan Lawler talk to Jon Krohn about their respective work at tech giants NVIDIA and Dell. Sama and Logan discuss the next-gen Blackwell GPUs to their collaboration with Dell in launching Pro-Max PCs specially designed to take on heavy computational workloads as well as the incredible performance of GB 10 and GB 300 workstations, and the widening accessibility of AI developer tools and models. 



Additional materials: www.superdatascience.com/883



This episode is brought to you by ODSC, the Open Data Science Conference, by Adverity, the conversational analytics platform and by the Dell AI Factory with NVIDIA.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (07:29) About Dell’s Pro Max PCs

  (14:01) Why having a Blackwell GPU from Nvidia is a great option for those new to training and deploying AI models  

  (36:47) When it makes sense for a data scientist to switch from a Unix to a Windows based system 

  (46:33) Logan’s and Sama’s predictions for AI</description>
      <pubDate>Tue, 29 Apr 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a4514e4c-21b6-11f0-9e3d-5f88711a642d/image/420dc1507b5294c639d7163d2b2d0afa.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Returning after the “Super Bowl of AI”, NVIDIA GTC, Sama Bali and Logan Lawler talk to Jon Krohn about their respective work at tech giants NVIDIA and Dell. Sama and Logan discuss the next-gen Blackwell GPUs to their collaboration with Dell in launching Pro-Max PCs specially designed to take on heavy computational workloads as well as the incredible performance of GB 10 and GB 300 workstations, and the widening accessibility of AI developer tools and models. 



Additional materials: www.superdatascience.com/883



This episode is brought to you by ODSC, the Open Data Science Conference, by Adverity, the conversational analytics platform and by the Dell AI Factory with NVIDIA.



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:


  (07:29) About Dell’s Pro Max PCs

  (14:01) Why having a Blackwell GPU from Nvidia is a great option for those new to training and deploying AI models  

  (36:47) When it makes sense for a data scientist to switch from a Unix to a Windows based system 

  (46:33) Logan’s and Sama’s predictions for AI</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Returning after the “Super Bowl of AI”, NVIDIA GTC, Sama Bali and Logan Lawler talk to Jon Krohn about their respective work at tech giants NVIDIA and Dell. Sama and Logan discuss the next-gen Blackwell GPUs to their collaboration with Dell in launching Pro-Max PCs specially designed to take on heavy computational workloads as well as the incredible performance of GB 10 and GB 300 workstations, and the widening accessibility of AI developer tools and models. </p>
<p><br></p>
<p>Additional materials: <a href="https://www.superdatascience.com/podcast/883">www.superdatascience.com/883</a></p>
<p><br></p>
<p>This episode is brought to you by <a href="https://odsc.com/boston/">ODSC, the Open Data Science Conference</a>, by <a href="https://eu1.hubs.ly/H0jxK210">Adverity, the conversational analytics platform</a> and by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN">Dell AI Factory with NVIDIA</a>.</p>
<p><br></p>
<p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>
<p><br></p>
<p>In this episode you will learn:</p>
<ul>
  <li>(07:29) About Dell’s Pro Max PCs</li>
  <li>(14:01) Why having a Blackwell GPU from Nvidia is a great option for those new to training and deploying AI models  </li>
  <li>(36:47) When it makes sense for a data scientist to switch from a Unix to a Windows based system </li>
  <li>(46:33) Logan’s and Sama’s predictions for AI</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>3843</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[a4514e4c-21b6-11f0-9e3d-5f88711a642d]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4496790858.mp3?updated=1745913955" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>882: 40x Hotter Than the Sun: The ASML Machines That Make AI Chips</title>
      <description>This week’s five-minute Friday heads to the Netherlands to find out more about Dutch company ASML, the brains behind the lithography machines that build AI chips.  Jon Krohn walks through how ASML came to dominate the market, where they’re headed next, and how ASML’s complex machines shape AI chips as well as the very future of AI.  

Additional materials: www.superdatascience.com/882

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 25 Apr 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/5a09d094-2025-11f0-b3ae-c362398a1fab/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>This week’s five-minute Friday heads to the Netherlands to find out more about Dutch company ASML, the brains behind the lithography machines that build AI chips.  Jon Krohn walks through how ASML came to dominate the market, where they’re headed next, and how ASML’s complex machines shape AI chips as well as the very future of AI.  

Additional materials: www.superdatascience.com/882

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week’s five-minute Friday heads to the Netherlands to find out more about Dutch company ASML, the brains behind the lithography machines that build AI chips.  Jon Krohn walks through how ASML came to dominate the market, where they’re headed next, and how ASML’s complex machines shape AI chips as well as the very future of AI.  </p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/882">www.superdatascience.com/882</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>585</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[5a09d094-2025-11f0-b3ae-c362398a1fab]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1922593375.mp3?updated=1745475952" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>881: Beyond GPUs: The Power of Custom AI Accelerators, with Emily Webber</title>
      <description>Emily Webber speaks to Jon Krohn about her work at Amazon Web Services, from its Annapurna Labs-developed Nitro System, a foundational technology that can enhance securities and performance in the cloud and how Trainium2 became AWS’ most powerful AI chip with four times the compute of Trainium. Hear the specs of AWS’s chips and when to use them.

Additional materials: www.superdatascience.com/881

This episode is brought to you by ODSC, the Open Data Science Conference. 

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(08:36) Emily’s work on AWS’ SageMaker and Trainium 

(23:54) How AWS Neuron lets builders tailor their approach to using frameworks 

(29:07) Why using an accelerator is better than using a GPU 

(35:29) The key differences between AWS Trainium and AWS Trainium2 

(52:45) How to select between AWS Trainium and AWS Trainium2</description>
      <pubDate>Tue, 22 Apr 2025 10:56:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/cac45540-1ab0-11f0-b33c-a7760745d83a/image/72cd91ebfd933368715e70fc395d20d5.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Emily Webber speaks to Jon Krohn about her work at Amazon Web Services, from its Annapurna Labs-developed Nitro System, a foundational technology that can enhance securities and performance in the cloud and how Trainium2 became AWS’ most powerful AI chip with four times the compute of Trainium. Hear the specs of AWS’s chips and when to use them.

Additional materials: www.superdatascience.com/881

This episode is brought to you by ODSC, the Open Data Science Conference. 

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(08:36) Emily’s work on AWS’ SageMaker and Trainium 

(23:54) How AWS Neuron lets builders tailor their approach to using frameworks 

(29:07) Why using an accelerator is better than using a GPU 

(35:29) The key differences between AWS Trainium and AWS Trainium2 

(52:45) How to select between AWS Trainium and AWS Trainium2</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Emily Webber speaks to Jon Krohn about her work at Amazon Web Services, from its Annapurna Labs-developed Nitro System, a foundational technology that can enhance securities and performance in the cloud and how Trainium2 became AWS’ most powerful AI chip with four times the compute of Trainium. Hear the specs of AWS’s chips and when to use them.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/881">www.superdatascience.com/881</a></p><p><br></p><p>This episode is brought to you by <a href="https://odsc.com/boston/">ODSC</a>, <a href="https://odsc.com/boston/">the Open Data Science Conference</a>. </p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(08:36) Emily’s work on AWS’ SageMaker and Trainium </li>
<li>(23:54) How AWS Neuron lets builders tailor their approach to using frameworks </li>
<li>(29:07) Why using an accelerator is better than using a GPU </li>
<li>(35:29) The key differences between AWS Trainium and AWS Trainium2 </li>
<li>(52:45) How to select between AWS Trainium and AWS Trainium2 </li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4626</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[cac45540-1ab0-11f0-b33c-a7760745d83a]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3044088377.mp3?updated=1745323200" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>880: Manus, DeepSeek and China’s AI Boom</title>
      <description>First developed in China, Manus AI and DeepSeek have made great waves on an international scale. Sought-after for their cost-effectiveness compared to US-made tech, Manus AI and DeepSeek are quickly becoming dominant technologies inside the country. In this five-minute Friday, Jon Krohn asks: Do these technologies warrant the huge amount of resources spent on them by multiple industries in China, and what makes hype become a mainstay?

Additional materials: www.superdatascience.com/880

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 18 Apr 2025 12:12:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/358b80f0-19ea-11f0-873a-b3b54b7352b5/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>First developed in China, Manus AI and DeepSeek have made great waves on an international scale. Sought-after for their cost-effectiveness compared to US-made tech, Manus AI and DeepSeek are quickly becoming dominant technologies inside the country. In this five-minute Friday, Jon Krohn asks: Do these technologies warrant the huge amount of resources spent on them by multiple industries in China, and what makes hype become a mainstay?

Additional materials: www.superdatascience.com/880

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>First developed in China, Manus AI and DeepSeek have made great waves on an international scale. Sought-after for their cost-effectiveness compared to US-made tech, Manus AI and DeepSeek are quickly becoming dominant technologies inside the country. In this five-minute Friday, Jon Krohn asks: Do these technologies warrant the huge amount of resources spent on them by multiple industries in China, and what makes hype become a mainstay?</p><p><br></p><p>Additional materials: <a href="www.superdatascience.com/880">www.superdatascience.com/880</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>617</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[358b80f0-19ea-11f0-873a-b3b54b7352b5]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2100743657.mp3?updated=1744799923" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>879: Serverless, Parallel, and AI-Assisted: The Future of Data Science is Here, with Zerve’s Dr. Greg Michaelson</title>
      <description>Greg Michaelson speaks to Jon Krohn about the latest developments at Zerve, an operating system for developing and delivering data and AI products, including a revolutionary feature allowing users to run multiple parts of a program’s code at once and without extra costs. You’ll also hear why LLMs might spell trouble for SaaS companies, Greg’s ‘good-cop, bad-cop’ routine that improves LLM responses, and how RAG (retrieval-augmented generation) can be deployed to create even more powerful AI applications.

Additional materials: www.superdatascience.com/879

This episode is brought to you by Trainium2, the latest AI chip from AWS and by the Dell AI Factory with NVIDIA.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(04:00) Zerve’s latest features

(35:26) How Zerve’s built-in API builder and GPU manager lowers barriers to entry

(40:54) How to get started with Zerve

(41:49) Will LLMs make SaaS companies redundant?

(52:29) How to create fairer and more transparent AI systems

(56:07) The future of software developer workflows</description>
      <pubDate>Tue, 15 Apr 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/cea3754c-16cd-11f0-817e-67ff1fb3276d/image/583b92bc9a9a296aec6716c381abd512.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Greg Michaelson speaks to Jon Krohn about the latest developments at Zerve, an operating system for developing and delivering data and AI products, including a revolutionary feature allowing users to run multiple parts of a program’s code at once and without extra costs. You’ll also hear why LLMs might spell trouble for SaaS companies, Greg’s ‘good-cop, bad-cop’ routine that improves LLM responses, and how RAG (retrieval-augmented generation) can be deployed to create even more powerful AI applications.

Additional materials: www.superdatascience.com/879

This episode is brought to you by Trainium2, the latest AI chip from AWS and by the Dell AI Factory with NVIDIA.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(04:00) Zerve’s latest features

(35:26) How Zerve’s built-in API builder and GPU manager lowers barriers to entry

(40:54) How to get started with Zerve

(41:49) Will LLMs make SaaS companies redundant?

(52:29) How to create fairer and more transparent AI systems

(56:07) The future of software developer workflows</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Greg Michaelson speaks to Jon Krohn about the latest developments at Zerve, an operating system for developing and delivering data and AI products, including a revolutionary feature allowing users to run multiple parts of a program’s code at once and without extra costs. You’ll also hear why LLMs might spell trouble for SaaS companies, Greg’s ‘good-cop, bad-cop’ routine that improves LLM responses, and how RAG (retrieval-augmented generation) can be deployed to create even more powerful AI applications.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/879">www.superdatascience.com/879</a></p><p><br></p><p>This episode is brought to you by <a href="https://aws.amazon.com/ai/machine-learning/trainium/">Trainium2, the latest AI chip from AWS</a> and by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN">Dell AI Factory with NVIDIA</a>.</p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(04:00) Zerve’s latest features</li>
<li>(35:26) How Zerve’s built-in API builder and GPU manager lowers barriers to entry</li>
<li>(40:54) How to get started with Zerve</li>
<li>(41:49) Will LLMs make SaaS companies redundant?</li>
<li>(52:29) How to create fairer and more transparent AI systems</li>
<li>(56:07) The future of software developer workflows</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4034</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[cea3754c-16cd-11f0-817e-67ff1fb3276d]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7771131066.mp3?updated=1744703767" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>878: In Case You Missed It in March 2025</title>
      <description>AI stacks, AGI, training neural networks, and AI authenticity: Jon Krohn rounds up his interviews from March with this episode of “In Case You Missed It”. In his favorite clips from the month, he speaks to Andriy Burkov (Episode 867), Natalie Monbiot (Episode 873), Richmond Alake (Episode 871) and Varun Godbole (Episode 869). 

Additional materials: www.superdatascience.com/878

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 11 Apr 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9c564636-1462-11f0-9cb0-ef1e83a37a74/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>AI stacks, AGI, training neural networks, and AI authenticity: Jon Krohn rounds up his interviews from March with this episode of “In Case You Missed It”. In his favorite clips from the month, he speaks to Andriy Burkov (Episode 867), Natalie Monbiot (Episode 873), Richmond Alake (Episode 871) and Varun Godbole (Episode 869). 

Additional materials: www.superdatascience.com/878

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>AI stacks, AGI, training neural networks, and AI authenticity: Jon Krohn rounds up his interviews from March with this episode of “In Case You Missed It”. In his favorite clips from the month, he speaks to Andriy Burkov (Episode 867), Natalie Monbiot (Episode 873), Richmond Alake (Episode 871) and Varun Godbole (Episode 869). </p><p><br></p><p>Additional materials: www.superdatascience.com/878</p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1849</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[9c564636-1462-11f0-9cb0-ef1e83a37a74]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9510231873.mp3?updated=1744107721" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>877: The Neural Processing Units Bringing AI to PCs, with Shirish Gupta</title>
      <description>NPUs, AIPC, and Dell’s growing suite of AI products: Shirish Gupta speaks to Jon Krohn about neural processing units and what makes them a go-to tool for AI inference workloads, reasons to move your workloads from the cloud and to your local devices, what the mnemonic AIPC stands for and why it will soon be on everyone’s lips, and he offers a special intro to Dell’s new Pro-AI Studio Toolkit. Hear about several real-world AIPC applications run by Dell’s clients, from detecting manufacturing defects to improving efficiencies for first responders, massively supporting actual life-or-death situations. 

Additional materials: www.superdatascience.com/877

This episode is brought to you by ODSC, the Open Data Science Conference. 

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(03:28) What neural processing units (NPUs) are

(23:53) About Dell Pro AI Studio 

(35:03) Use cases for Dell Pro AI Studio

(45:16) How AI development workflows and applications will change 

(49:01) About Dell’s AI factory ecosystem</description>
      <pubDate>Tue, 08 Apr 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8d774592-0e3c-11f0-9d12-23a96c882ce4/image/c1b5744013fadee9162e694d8cdb4290.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>NPUs, AIPC, and Dell’s growing suite of AI products: Shirish Gupta speaks to Jon Krohn about neural processing units and what makes them a go-to tool for AI inference workloads, reasons to move your workloads from the cloud and to your local devices, what the mnemonic AIPC stands for and why it will soon be on everyone’s lips, and he offers a special intro to Dell’s new Pro-AI Studio Toolkit. Hear about several real-world AIPC applications run by Dell’s clients, from detecting manufacturing defects to improving efficiencies for first responders, massively supporting actual life-or-death situations. 

Additional materials: www.superdatascience.com/877

This episode is brought to you by ODSC, the Open Data Science Conference. 

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(03:28) What neural processing units (NPUs) are

(23:53) About Dell Pro AI Studio 

(35:03) Use cases for Dell Pro AI Studio

(45:16) How AI development workflows and applications will change 

(49:01) About Dell’s AI factory ecosystem</itunes:summary>
      <content:encoded>
        <![CDATA[<p>NPUs, AIPC, and Dell’s growing suite of AI products: Shirish Gupta speaks to Jon Krohn about neural processing units and what makes them a go-to tool for AI inference workloads, reasons to move your workloads from the cloud and to your local devices, what the mnemonic AIPC stands for and why it will soon be on everyone’s lips, and he offers a special intro to Dell’s new Pro-AI Studio Toolkit. Hear about several real-world AIPC applications run by Dell’s clients, from detecting manufacturing defects to improving efficiencies for first responders, massively supporting actual life-or-death situations. </p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/877">www.superdatascience.com/877</a></p><p><br></p><p>This episode is brought to you by <a href="https://odsc.com/boston/">ODSC</a>, <a href="https://odsc.com/boston/">the Open Data Science Conference</a>. </p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(03:28) What neural processing units (NPUs) are</li>
<li>(23:53) About Dell Pro AI Studio </li>
<li>(35:03) Use cases for Dell Pro AI Studio</li>
<li>(45:16) How AI development workflows and applications will change </li>
<li>(49:01) About Dell’s AI factory ecosystem</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4172</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[8d774592-0e3c-11f0-9d12-23a96c882ce4]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5877762989.mp3?updated=1744100554" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>876: Hugging Face’s smolagents: Agentic AI in Python Made Easy</title>
      <description>Small, simple, accessible: Hugging Face makes a huge contribution to the agentic AI wave with its smolagents. Jon Krohn explores how this small-but-mighty new Python library can act as the best personal assistant you never had. Hear about its features and use cases in this five-minute Friday.

Additional materials: www.superdatascience.com/876

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 04 Apr 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/adae6b24-089c-11f0-88b6-5bbbdb897649/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Small, simple, accessible: Hugging Face makes a huge contribution to the agentic AI wave with its smolagents. Jon Krohn explores how this small-but-mighty new Python library can act as the best personal assistant you never had. Hear about its features and use cases in this five-minute Friday.

Additional materials: www.superdatascience.com/876

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Small, simple, accessible: Hugging Face makes a huge contribution to the agentic AI wave with its smolagents. Jon Krohn explores how this small-but-mighty new Python library can act as the best personal assistant you never had. Hear about its features and use cases in this five-minute Friday.</p><p><br></p><p>Additional materials: <a href="www.superdatascience.com/876">www.superdatascience.com/876</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>911</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[adae6b24-089c-11f0-88b6-5bbbdb897649]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8094477289.mp3?updated=1744715657" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>875: How Semiconductors Are Made (And Fuel the AI Boom), with Kai Beckmann</title>
      <description>Why are semiconductors so essential in this digital age, and how are they made? Jon Krohn speaks to electronics CEO Kai Beckmann about Merck KGaA, Darmstadt, Germany’s intricate manufacturing process, how we can use AI to develop materials that power next-gen AI technologies, and how a chip with the processing power of the human brain might one day be able to run on the power of a low-watt light bulb.

Additional materials: www.superdatascience.com/875

This episode is brought to you by the Dell AI Factory with NVIDIA. 

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(06:26) How Merck KGaA, Darmstadt, Germany supports groundbreaking developments in AI 

(13:42) Material science’s biggest challenges for AI 

(29:55) What heterogeneous integration is	

(34:37) How optical tech influences the electronics industry 

(49:04) Navigating upturns and downturns in the semiconductor industry 

(53:08) How AI regulations benefit humanity</description>
      <pubDate>Tue, 01 Apr 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8f0ce968-0971-11f0-9e87-8f68ece8ce71/image/d1a55846d8a4dff9143b4ff96e90919a.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Why are semiconductors so essential in this digital age, and how are they made? Jon Krohn speaks to electronics CEO Kai Beckmann about Merck KGaA, Darmstadt, Germany’s intricate manufacturing process, how we can use AI to develop materials that power next-gen AI technologies, and how a chip with the processing power of the human brain might one day be able to run on the power of a low-watt light bulb.

Additional materials: www.superdatascience.com/875

This episode is brought to you by the Dell AI Factory with NVIDIA. 

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(06:26) How Merck KGaA, Darmstadt, Germany supports groundbreaking developments in AI 

(13:42) Material science’s biggest challenges for AI 

(29:55) What heterogeneous integration is	

(34:37) How optical tech influences the electronics industry 

(49:04) Navigating upturns and downturns in the semiconductor industry 

(53:08) How AI regulations benefit humanity</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Why are semiconductors so essential in this digital age, and how are they made? Jon Krohn speaks to electronics CEO Kai Beckmann about Merck KGaA, Darmstadt, Germany’s intricate manufacturing process, how we can use AI to develop materials that power next-gen AI technologies, and how a chip with the processing power of the human brain might one day be able to run on the power of a low-watt light bulb.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/875">www.superdatascience.com/875</a></p><p><br></p><p>This episode is brought to you by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN">Dell AI Factory with NVIDIA</a>. </p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(06:26) How Merck KGaA, Darmstadt, Germany<em> </em>supports groundbreaking developments in AI </li>
<li>(13:42) Material science’s biggest challenges for AI </li>
<li>(29:55) What heterogeneous integration is	</li>
<li>(34:37) How optical tech influences the electronics industry </li>
<li>(49:04) Navigating upturns and downturns in the semiconductor industry </li>
<li>(53:08) How AI regulations benefit humanity </li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4229</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[8f0ce968-0971-11f0-9e87-8f68ece8ce71]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6104739758.mp3?updated=1743489035" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>874: How AI is Transforming Baseball (with Lessons For All of Us)</title>
      <description>In this Five-Minute Friday, Jon Krohn talks baseball. For decades, coaches have relied on player performance stats to make in-game decisions and refine their season strategies. Now, AI led by Statcast is taking baseball strategy even further, massively broadening analytics data to include pitch, swing and catch trajectories, spin rates, biomechanical information, player matchups, and how to enhance player performances. Listen to the episode to find out what other industries can learn from the “data-friendly” sport of baseball.

Additional materials: www.superdatascience.com/874

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 28 Mar 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0f4690c8-0654-11f0-85ac-db91bf46af17/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this Five-Minute Friday, Jon Krohn talks baseball. For decades, coaches have relied on player performance stats to make in-game decisions and refine their season strategies. Now, AI led by Statcast is taking baseball strategy even further, massively broadening analytics data to include pitch, swing and catch trajectories, spin rates, biomechanical information, player matchups, and how to enhance player performances. Listen to the episode to find out what other industries can learn from the “data-friendly” sport of baseball.

Additional materials: www.superdatascience.com/874

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this Five-Minute Friday, Jon Krohn talks baseball. For decades, coaches have relied on player performance stats to make in-game decisions and refine their season strategies. Now, AI led by Statcast is taking baseball strategy even further, massively broadening analytics data to include pitch, swing and catch trajectories, spin rates, biomechanical information, player matchups, and how to enhance player performances. Listen to the episode to find out what other industries can learn from the “data-friendly” sport of baseball.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/874">www.superdatascience.com/874</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>867</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[0f4690c8-0654-11f0-85ac-db91bf46af17]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8708497694.mp3?updated=1742562156" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>873: Become Your Best Self Through AI Augmentation — feat. Natalie Monbiot</title>
      <description>Natalie Monbiot is an independent advisor and collaborator for projects that concern the “virtual human”, and she is “going all in on the virtual human economy”. Jon Krohn speaks to Natalie about these new ventures, how to mitigate the divide between AI users and nonusers, and how anyone can collaborate with AI without compromising their own creativity.

Additional materials: www.superdatascience.com/873

This episode is brought to you by the Dell AI Factory with NVIDIA, by Trainium2, the latest AI chip from AWS and by ODSC, the Open Data Science Conference. 

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(07:21) Natalie’s influences for her work

(18:30) Will machines surpass human intelligence?

(29:08) Using LLMs as collaborators and partners

(40:15) How platforms demand user engagement and time

(56:54) Natalie Monbiot at Wizly</description>
      <pubDate>Tue, 25 Mar 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0c4ca352-04b1-11f0-b4a8-57014215103b/image/64d4f827bf55695a06ee036b7d048e3b.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Natalie Monbiot is an independent advisor and collaborator for projects that concern the “virtual human”, and she is “going all in on the virtual human economy”. Jon Krohn speaks to Natalie about these new ventures, how to mitigate the divide between AI users and nonusers, and how anyone can collaborate with AI without compromising their own creativity.

Additional materials: www.superdatascience.com/873

This episode is brought to you by the Dell AI Factory with NVIDIA, by Trainium2, the latest AI chip from AWS and by ODSC, the Open Data Science Conference. 

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(07:21) Natalie’s influences for her work

(18:30) Will machines surpass human intelligence?

(29:08) Using LLMs as collaborators and partners

(40:15) How platforms demand user engagement and time

(56:54) Natalie Monbiot at Wizly</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Natalie Monbiot is an independent advisor and collaborator for projects that concern the “virtual human”, and she is “going all in on the virtual human economy”. Jon Krohn speaks to Natalie about these new ventures, how to mitigate the divide between AI users and nonusers, and how anyone can collaborate with AI without compromising their own creativity.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/873">www.superdatascience.com/873</a></p><p><br></p><p>This episode is brought to you by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN">Dell AI Factory with NVIDIA</a>, by <a href="https://aws.amazon.com/ai/machine-learning/trainium/">Trainium2, the latest AI chip from AWS</a> and by <a href="https://odsc.com/boston/">ODSC, the Open Data Science Conference</a>. </p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(07:21) Natalie’s influences for her work</li>
<li>(18:30) Will machines surpass human intelligence?</li>
<li>(29:08) Using LLMs as collaborators and partners</li>
<li>(40:15) How platforms demand user engagement and time</li>
<li>(56:54) Natalie Monbiot at Wizly</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4352</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[0c4ca352-04b1-11f0-b4a8-57014215103b]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2168503920.mp3?updated=1743431220" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>872: Microsoft’s “Majorana 1” Chip Brings Quantum ML Closer</title>
      <link>https://www.superdatascience.com/872</link>
      <description>In this five-minute Friday, Jon Krohn looks into Microsoft’s recent release of Majorana 1, a new quantum processing unit that uses topological qubits, a step away from the fragile qubits currently in use. Get Jon’s thoughts about this “transistor for the quantum age”, potential applications for quantum computing, and why this marks an exciting future for data science and machine learning practitioners.

Additional materials: www.superdatascience.com/872

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 21 Mar 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1d24a4fc-049f-11f0-8930-6b33b2cba5e5/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this five-minute Friday, Jon Krohn looks into Microsoft’s recent release of Majorana 1, a new quantum processing unit that uses topological qubits, a step away from the fragile qubits currently in use. Get Jon’s thoughts about this “transistor for the quantum age”, potential applications for quantum computing, and why this marks an exciting future for data science and machine learning practitioners.</itunes:subtitle>
      <itunes:summary>In this five-minute Friday, Jon Krohn looks into Microsoft’s recent release of Majorana 1, a new quantum processing unit that uses topological qubits, a step away from the fragile qubits currently in use. Get Jon’s thoughts about this “transistor for the quantum age”, potential applications for quantum computing, and why this marks an exciting future for data science and machine learning practitioners.

Additional materials: www.superdatascience.com/872

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this five-minute Friday, Jon Krohn looks into Microsoft’s recent release of Majorana 1, a new quantum processing unit that uses topological qubits, a step away from the fragile qubits currently in use. Get Jon’s thoughts about this “transistor for the quantum age”, potential applications for quantum computing, and why this marks an exciting future for data science and machine learning practitioners.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/872">www.superdatascience.com/8</a><a href="72">72</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>740</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[1d24a4fc-049f-11f0-8930-6b33b2cba5e5]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9154261253.mp3?updated=1742539512" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>871: NoSQL Is Ideal for AI Applications, with MongoDB’s Richmond Alake</title>
      <link>https://www.superdatascience.com/871</link>
      <description>Agentic AI, AI success strategies, and why flexibility will be so important to keep up with the AI market: Jon Krohn talks to Richmond Alake about the NoSQL database MongoDB, including why it’s a great addition to your toolkit for developing (agentic) AI applications, with a look under the hood at its native vector database. Richmond also talks about why he expects multi-agent AI architectures to go mainstream in 2025. 

Additional materials: www.superdatascience.com/871

This episode is brought to you by the Dell AI Factory with NVIDIA and by ODSC, the Open Data Science Conference. 

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(04:10) How Richmond became a Staff Developer Advocate

(07:40) How NoSQL database differs from a relational database

(16:50) The advantages of working with the cloud-based MongoDB Atlas

(32:26) Richmond’s predictions for agentic AI

(40:38) How to create an effective AI strategy</description>
      <pubDate>Tue, 18 Mar 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8c51ede0-f9c2-11ef-93a1-936bbd3755c0/image/3eecf97b8df5979e99a659e014051e17.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Agentic AI, AI success strategies, and why flexibility will be so important to keep up with the AI market: Jon Krohn talks to Richmond Alake about the NoSQL database MongoDB, including why it’s a great addition to your toolkit for developing (agentic) AI applications, with a look under the hood at its native vector database. Richmond also talks about why he expects multi-agent AI architectures to go mainstream in 2025. </itunes:subtitle>
      <itunes:summary>Agentic AI, AI success strategies, and why flexibility will be so important to keep up with the AI market: Jon Krohn talks to Richmond Alake about the NoSQL database MongoDB, including why it’s a great addition to your toolkit for developing (agentic) AI applications, with a look under the hood at its native vector database. Richmond also talks about why he expects multi-agent AI architectures to go mainstream in 2025. 

Additional materials: www.superdatascience.com/871

This episode is brought to you by the Dell AI Factory with NVIDIA and by ODSC, the Open Data Science Conference. 

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(04:10) How Richmond became a Staff Developer Advocate

(07:40) How NoSQL database differs from a relational database

(16:50) The advantages of working with the cloud-based MongoDB Atlas

(32:26) Richmond’s predictions for agentic AI

(40:38) How to create an effective AI strategy</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Agentic AI, AI success strategies, and why flexibility will be so important to keep up with the AI market: Jon Krohn talks to Richmond Alake about the NoSQL database MongoDB, including why it’s a great addition to your toolkit for developing (agentic) AI applications, with a look under the hood at its native vector database. Richmond also talks about why he expects multi-agent AI architectures to go mainstream in 2025. </p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/871">www.superdatascience.com/871</a></p><p><br></p><p>This episode is brought to you by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN">Dell AI Factory with NVIDIA</a> and by <a href="https://odsc.com/boston/">ODSC</a>, <a href="https://odsc.com/boston/">the Open Data Science Conference</a>. </p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(04:10) How Richmond became a Staff Developer Advocate</li>
<li>(07:40) How NoSQL database differs from a relational database</li>
<li>(16:50) The advantages of working with the cloud-based MongoDB Atlas</li>
<li>(32:26) Richmond’s predictions for agentic AI</li>
<li>(40:38) How to create an effective AI strategy</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4391</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[8c51ede0-f9c2-11ef-93a1-936bbd3755c0]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3528475721.mp3?updated=1743431237" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>870: OpenAI’s “Deep Research”: Get Days of Human Work Done in Minutes</title>
      <link>https://www.superdatascience.com/870</link>
      <description>In this Five-Minute Friday, Jon Krohn looks into what he considers the world’s most powerful research tool to date, OpenAI’s Deep Research. Find out how OpenAI trained Deep Research to compile literature reviews of limitless topics, what similar tools are on the market, and where Jon sees the tool as having real-world value including how he uses it daily.

Additional materials: www.superdatascience.com/870

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 14 Mar 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/431728d8-f900-11ef-9d33-ebcdda14da87/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this Five-Minute Friday, Jon Krohn looks into what he considers the world’s most powerful research tool to date, OpenAI’s Deep Research. Find out how OpenAI trained Deep Research to compile literature reviews of limitless topics, what similar tools are on the market, and where Jon sees the tool as having real-world value including how he uses it daily.</itunes:subtitle>
      <itunes:summary>In this Five-Minute Friday, Jon Krohn looks into what he considers the world’s most powerful research tool to date, OpenAI’s Deep Research. Find out how OpenAI trained Deep Research to compile literature reviews of limitless topics, what similar tools are on the market, and where Jon sees the tool as having real-world value including how he uses it daily.

Additional materials: www.superdatascience.com/870

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this Five-Minute Friday, Jon Krohn looks into what he considers the world’s most powerful research tool to date, OpenAI’s Deep Research. Find out how OpenAI trained Deep Research to compile literature reviews of limitless topics, what similar tools are on the market, and where Jon sees the tool as having real-world value including how he uses it daily.</p><p><br></p><p>Additional materials: <a href="www.superdatascience.com/870">www.superdatascience.com/870</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1042</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[431728d8-f900-11ef-9d33-ebcdda14da87]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2361912782.mp3?updated=1741675153" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>869: AI Should Make Humans Wiser (But It Isn’t), with Varun Godbole</title>
      <link>https://www.superdatascience.com/869</link>
      <description>Jon Krohn talks to Varun Godbole about AI prompt engineering, generative wisdom, and AI generalists in this episode all about the interrelationships between humans and AI.

Additional materials: www.superdatascience.com/869

This episode is brought to you by the Dell AI Factory with NVIDIA and by ODSC, the Open Data Science Conference.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(10:44) Using deep learning to predict breast cancer

(15:55) All about Varun’s Tuning Playbook

(29:56) On the explosion of interest and news about AI and data science 

(46:35) About Varun’s Wise AI</description>
      <pubDate>Tue, 11 Mar 2025 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6a39cce8-f84e-11ef-a771-9ffb1a27ae3d/image/144cbbb83adff1e6b512d1653037de5f.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn talks to Varun Godbole about AI prompt engineering, generative wisdom, and AI generalists in this episode all about the interrelationships between humans and AI.</itunes:subtitle>
      <itunes:summary>Jon Krohn talks to Varun Godbole about AI prompt engineering, generative wisdom, and AI generalists in this episode all about the interrelationships between humans and AI.

Additional materials: www.superdatascience.com/869

This episode is brought to you by the Dell AI Factory with NVIDIA and by ODSC, the Open Data Science Conference.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(10:44) Using deep learning to predict breast cancer

(15:55) All about Varun’s Tuning Playbook

(29:56) On the explosion of interest and news about AI and data science 

(46:35) About Varun’s Wise AI</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn talks to Varun Godbole about AI prompt engineering, generative wisdom, and AI generalists in this episode all about the interrelationships between humans and AI.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/869">www.superdatascience.com/869</a></p><p><br></p><p>This episode is brought to you by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN">Dell AI Factory with NVIDIA</a> and by <a href="https://odsc.com/boston/">ODSC, the Open Data Science Conference</a>.</p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(10:44) Using deep learning to predict breast cancer</li>
<li>(15:55) All about Varun’s Tuning Playbook</li>
<li>(29:56) On the explosion of interest and news about AI and data science </li>
<li>(46:35) About Varun’s Wise AI</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>4782</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[6a39cce8-f84e-11ef-a771-9ffb1a27ae3d]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1620932433.mp3?updated=1743431268" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>868: In Case You Missed It in February 2025</title>
      <link>https://www.superdatascience.com/868</link>
      <description>How to start a successful tech company, and how you can get started with DBT, TabPFN and BAML: Jon Krohn rounds up his favorite moments from February in this episode of “In Case You Missed It”.

Additional materials: www.superdatascience.com/868

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 07 Mar 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/db9c4a4c-f843-11ef-9721-f30f66153de7/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How to start a successful tech company, and how you can get started with DBT, TabPFN and BAML: Jon Krohn rounds up his favorite moments from February in this episode of “In Case You Missed It”.</itunes:subtitle>
      <itunes:summary>How to start a successful tech company, and how you can get started with DBT, TabPFN and BAML: Jon Krohn rounds up his favorite moments from February in this episode of “In Case You Missed It”.

Additional materials: www.superdatascience.com/868

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How to start a successful tech company, and how you can get started with DBT, TabPFN and BAML: Jon Krohn rounds up his favorite moments from February in this episode of “In Case You Missed It”.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/868">www.superdatascience.com/868</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
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      <itunes:duration>1591</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>867: LLMs and Agents Are Overhyped, with Dr. Andriy Burkov</title>
      <link>https://www.superdatascience.com/867</link>
      <description>The realities of Agentic AI, AGI, and chatbots that don’t hallucinate: Andriy Burkov talks to Jon Krohn about AI in 2025. Best known for his concise machine learning modelling books, author and AI influencer Andriy Burkov also talks about his latest publication in the series, The Hundred-Page Language Learning Models Book. 

Additional materials: www.superdatascience.com/867

This episode is brought to you by the Dell AI Factory with NVIDIA.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(07:38) Andriy’s “triology” of books on machine learning

(29:32) On the limitations of AI agents

(41:12) On the prospect of artificial general intelligence (AGI)

(54:24) On developing a chatbot that doesn’t hallucinate

(01:10:07) On open-weight and open-source LLMs</description>
      <pubDate>Tue, 04 Mar 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0fed73de-ef84-11ef-9cd7-d747d083d8fa/image/e10794282e4f3b530d38dd29753c1029.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>The realities of Agentic AI, AGI, and chatbots that don’t hallucinate: Andriy Burkov talks to Jon Krohn about AI in 2025. Best known for his concise machine learning modelling books, author and AI influencer Andriy Burkov also talks about his latest publication in the series, The Hundred-Page Language Learning Models Book. </itunes:subtitle>
      <itunes:summary>The realities of Agentic AI, AGI, and chatbots that don’t hallucinate: Andriy Burkov talks to Jon Krohn about AI in 2025. Best known for his concise machine learning modelling books, author and AI influencer Andriy Burkov also talks about his latest publication in the series, The Hundred-Page Language Learning Models Book. 

Additional materials: www.superdatascience.com/867

This episode is brought to you by the Dell AI Factory with NVIDIA.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(07:38) Andriy’s “triology” of books on machine learning

(29:32) On the limitations of AI agents

(41:12) On the prospect of artificial general intelligence (AGI)

(54:24) On developing a chatbot that doesn’t hallucinate

(01:10:07) On open-weight and open-source LLMs</itunes:summary>
      <content:encoded>
        <![CDATA[<p>The realities of Agentic AI, AGI, and chatbots that don’t hallucinate: Andriy Burkov talks to Jon Krohn about AI in 2025. Best known for his concise machine learning modelling books, author and AI influencer Andriy Burkov also talks about his latest publication in the series, The Hundred-Page Language Learning Models Book. </p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/867">www.superdatascience.com/867</a></p><p><br></p><p>This episode is brought to you by the <a href="http://www.dell.com/superdatascience?utm_source=SuperDataScience&amp;utm_medium=podcast&amp;utm_campaign=DAIFWN">Dell AI Factory with NVIDIA</a>.</p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(07:38) Andriy’s “triology” of books on machine learning</li>
<li>(29:32) On the limitations of AI agents</li>
<li>(41:12) On the prospect of artificial general intelligence (AGI)</li>
<li>(54:24) On developing a chatbot that doesn’t hallucinate</li>
<li>(01:10:07) On open-weight and open-source LLMs</li>
</ul>]]>
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      <itunes:duration>5592</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>866: Bringing Back Extinct Animals like the Woolly Mammoth and Dodo Bird</title>
      <link>https://www.superdatascience.com/866</link>
      <description>Jon Krohn addresses a question for the ages: How close are we, really, to Jurassic Park? Dallas-based biotech company Colossal Biosciences is developing technology that aims to return previously extinct animals like the dodo and woolly mammoth to earth and, crucially, pull many others like the white rhino back from the brink of extinction. 

Additional materials: www.superdatascience.com/866

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 28 Feb 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/98773d42-ef71-11ef-a7de-874635a41226/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn addresses a question for the ages: How close are we, really, to Jurassic Park? Dallas-based biotech company Colossal Biosciences is developing technology that aims to return previously extinct animals like the dodo and woolly mammoth to earth and, crucially, pull many others like the white rhino back from the brink of extinction. </itunes:subtitle>
      <itunes:summary>Jon Krohn addresses a question for the ages: How close are we, really, to Jurassic Park? Dallas-based biotech company Colossal Biosciences is developing technology that aims to return previously extinct animals like the dodo and woolly mammoth to earth and, crucially, pull many others like the white rhino back from the brink of extinction. 

Additional materials: www.superdatascience.com/866

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn addresses a question for the ages: How close are we, really, to Jurassic Park? Dallas-based biotech company Colossal Biosciences is developing technology that aims to return previously extinct animals like the dodo and woolly mammoth to earth and, crucially, pull many others like the white rhino back from the brink of extinction. </p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/866">www.superdatascience.com/866</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>451</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>865: How to Grow (and Sell) a Data Science Consultancy, with Cal Al-Dhubaib</title>
      <link>https://www.superdatascience.com/865</link>
      <description>Jon Krohn talks to Cal Al-Dhubaib about the extraordinary success of AI and machine learning solutions provider Pandata, his ironclad hack for any company to define their core values, and how to attract and secure loyal clients. Cal thinks tech professionals make two critical mistakes in their careers: The first is that they too-often enjoy being the gatekeepers of their work rather than educating their clients and coworkers as to the details of their projects and why it benefits the company. The second is that tech professionals don’t show vulnerability, whether that means not knowing a topic or not fully understanding how a business works. This issue, Cal says, can spell the difference between a startup’s success and failure. Learn how tech startups can make an ironclad strategy for their future in this episode of The SuperDataScience Podcast.

This episode is brought to you by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(09:32) How to scale a successful data science consultancy

(22:25) How Pandata navigates highly regulated environments 

(27:59) How to tackle tech illiteracy in business 

(36:32) What skills Cals looks for in new hires 

(35:56) How to sell on a tech company 


Additional materials: www.superdatascience.com/865</description>
      <pubDate>Tue, 25 Feb 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/bbc2481c-ee0b-11ef-9596-6f081a0a81c5/image/dcad32928e80c15c5d34c780c8f2a4c6.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn talks to Cal Al-Dhubaib about the extraordinary success of AI and machine learning solutions provider Pandata, his ironclad hack for any company to define their core values, and how to attract and secure loyal clients. Cal thinks tech professionals make two critical mistakes in their careers: The first is that they too-often enjoy being the gatekeepers of their work rather than educating their clients and coworkers as to the details of their projects and why it benefits the company. The second is that tech professionals don’t show vulnerability, whether that means not knowing a topic or not fully understanding how a business works. This issue, Cal says, can spell the difference between a startup’s success and failure. Learn how tech startups can make an ironclad strategy for their future in this episode of The SuperDataScience Podcast.</itunes:subtitle>
      <itunes:summary>Jon Krohn talks to Cal Al-Dhubaib about the extraordinary success of AI and machine learning solutions provider Pandata, his ironclad hack for any company to define their core values, and how to attract and secure loyal clients. Cal thinks tech professionals make two critical mistakes in their careers: The first is that they too-often enjoy being the gatekeepers of their work rather than educating their clients and coworkers as to the details of their projects and why it benefits the company. The second is that tech professionals don’t show vulnerability, whether that means not knowing a topic or not fully understanding how a business works. This issue, Cal says, can spell the difference between a startup’s success and failure. Learn how tech startups can make an ironclad strategy for their future in this episode of The SuperDataScience Podcast.

This episode is brought to you by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(09:32) How to scale a successful data science consultancy

(22:25) How Pandata navigates highly regulated environments 

(27:59) How to tackle tech illiteracy in business 

(36:32) What skills Cals looks for in new hires 

(35:56) How to sell on a tech company 


Additional materials: www.superdatascience.com/865</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn talks to Cal Al-Dhubaib about the extraordinary success of AI and machine learning solutions provider Pandata, his ironclad hack for any company to define their core values, and how to attract and secure loyal clients. Cal thinks tech professionals make two critical mistakes in their careers: The first is that they too-often enjoy being the gatekeepers of their work rather than educating their clients and coworkers as to the details of their projects and why it benefits the company. The second is that tech professionals don’t show vulnerability, whether that means not knowing a topic or not fully understanding how a business works. This issue, Cal says, can spell the difference between a startup’s success and failure. Learn how tech startups can make an ironclad strategy for their future in this episode of The SuperDataScience Podcast.</p><p><br></p><p>This episode is brought to you by <a href="https://odsc.com/boston/">ODSC</a>, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="https://cms.megaphone.fm/organizations/a55d14b8-e2fd-11ee-a151-23f36842f7c5/podcasts/efa92454-1c31-11ef-9e30-03596b470c27/episodes/813fa380-deeb-11ef-8877-c3f1a7541364/natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(09:32) How to scale a successful data science consultancy</li>
<li>(22:25) How Pandata navigates highly regulated environments </li>
<li>(27:59) How to tackle tech illiteracy in business </li>
<li>(36:32) What skills Cals looks for in new hires </li>
<li>(35:56) How to sell on a tech company </li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/865">www.superdatascience.com/865</a></p>]]>
      </content:encoded>
      <itunes:duration>3230</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>864: OpenAI’s o3-mini: SOTA reasoning and exponentially cheaper</title>
      <link>https://www.superdatascience.com/864</link>
      <description>Jon Krohn investigates OpenAI’s new release, o3-mini, in this five-minute Friday, where he walks through the reasoning model’s capabilities and performance, cross-examining them against other major-league players, DeepSeek-R1, GPT-4o and Claude 3.5 Sonnet.

Additional materials: www.superdatascience.com/864

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 21 Feb 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/97ffe41c-ed1f-11ef-af89-07a87ed1799a/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn investigates OpenAI’s new release, o3-mini, in this five-minute Friday, where he walks through the reasoning model’s capabilities and performance, cross-examining them against other major-league players, DeepSeek-R1, GPT-4o and Claude 3.5 Sonnet.</itunes:subtitle>
      <itunes:summary>Jon Krohn investigates OpenAI’s new release, o3-mini, in this five-minute Friday, where he walks through the reasoning model’s capabilities and performance, cross-examining them against other major-league players, DeepSeek-R1, GPT-4o and Claude 3.5 Sonnet.

Additional materials: www.superdatascience.com/864

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn investigates OpenAI’s new release, o3-mini, in this five-minute Friday, where he walks through the reasoning model’s capabilities and performance, cross-examining them against other major-league players, DeepSeek-R1, GPT-4o and Claude 3.5 Sonnet.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/864">www.superdatascience.com/864</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="natalie@superdatascience.com%20">natalie@superdatascience.com </a>for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>497</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[97ffe41c-ed1f-11ef-af89-07a87ed1799a]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4199771832.mp3?updated=1739808551" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>863: TabPFN: Deep Learning for Tabular Data (That Actually Works!), with Prof. Frank Hutter</title>
      <link>https://www.superdatascience.com/863</link>
      <description>Jon Krohn talks tabular data with Frank Hutter, Professor of Artificial Intelligence at Universität Freiburg in Germany. Despite the great steps that deep learning has made in analysing images, audio, and natural language, tabular data has remained its insurmountable obstacle. In this episode, Frank Hutter details the path he has found around this obstacle even with limited data by using a ground-breaking transformer architecture. Named TabPFN, this approach is vastly outperforming other architectures, as testified by a write up of TabPFN’s capabilities in Nature. Frank talks about his work on version 2 of TabPFN, the architecture’s cross-industry applicability, and how TabPFN is able to return accurate results with synthetic data.

This episode is brought to you by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(05:57) All about the TabPFN architecture 

(21:27) Use cases for Bayesian inference

(35:07) On getting published in Nature

(44:03) How TabPFN handles time series data

(51:52) All about Prior Labs


Additional materials: www.superdatascience.com/863</description>
      <pubDate>Tue, 18 Feb 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/58246bec-ea04-11ef-84b8-2f553751aeb4/image/9746c363dde990899fc090b4d67d4471.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn talks tabular data with Frank Hutter, Professor of Artificial Intelligence at Universität Freiburg in Germany. Despite the great steps that deep learning has made in analysing images, audio, and natural language, tabular data has remained its insurmountable obstacle. In this episode, Frank Hutter details the path he has found around this obstacle even with limited data by using a ground-breaking transformer architecture. Named TabPFN, this approach is vastly outperforming other architectures, as testified by a write up of TabPFN’s capabilities in Nature. Frank talks about his work on version 2 of TabPFN, the architecture’s cross-industry applicability, and how TabPFN is able to return accurate results with synthetic data.</itunes:subtitle>
      <itunes:summary>Jon Krohn talks tabular data with Frank Hutter, Professor of Artificial Intelligence at Universität Freiburg in Germany. Despite the great steps that deep learning has made in analysing images, audio, and natural language, tabular data has remained its insurmountable obstacle. In this episode, Frank Hutter details the path he has found around this obstacle even with limited data by using a ground-breaking transformer architecture. Named TabPFN, this approach is vastly outperforming other architectures, as testified by a write up of TabPFN’s capabilities in Nature. Frank talks about his work on version 2 of TabPFN, the architecture’s cross-industry applicability, and how TabPFN is able to return accurate results with synthetic data.

This episode is brought to you by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(05:57) All about the TabPFN architecture 

(21:27) Use cases for Bayesian inference

(35:07) On getting published in Nature

(44:03) How TabPFN handles time series data

(51:52) All about Prior Labs


Additional materials: www.superdatascience.com/863</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn talks tabular data with Frank Hutter, Professor of Artificial Intelligence at Universität Freiburg in Germany. Despite the great steps that deep learning has made in analysing images, audio, and natural language, tabular data has remained its insurmountable obstacle. In this episode, Frank Hutter details the path he has found around this obstacle even with limited data by using a ground-breaking transformer architecture. Named TabPFN, this approach is vastly outperforming other architectures, as testified by a write up of TabPFN’s capabilities in Nature. Frank talks about his work on version 2 of TabPFN, the architecture’s cross-industry applicability, and how TabPFN is able to return accurate results with synthetic data.</p><p><br></p><p>This episode is brought to you by <a href="https://odsc.com/boston/">ODSC</a>, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="https://cms.megaphone.fm/organizations/a55d14b8-e2fd-11ee-a151-23f36842f7c5/podcasts/efa92454-1c31-11ef-9e30-03596b470c27/episodes/813fa380-deeb-11ef-8877-c3f1a7541364/natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(05:57) All about the TabPFN architecture </li>
<li>(21:27) Use cases for Bayesian inference</li>
<li>(35:07) On getting published in Nature</li>
<li>(44:03) How TabPFN handles time series data</li>
<li>(51:52) All about Prior Labs</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/863">www.superdatascience.com/863</a></p>]]>
      </content:encoded>
      <itunes:duration>3966</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3644116547.mp3?updated=1739810286" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>862: In Case You Missed It in January 2025</title>
      <link>https://www.superdatascience.com/862</link>
      <description>In this episode of “In Case You Missed It”, Jon Krohn shares his favorite clips from the last four weeks. He talks to Azeem Azhar, Florian Neukart, Kirill Eremenko, Hadelin de Ponteves, and Brooke Hopkins on what’s in store for AI in 2025, from quantum computing and customizable tools to handy checklists and how the mathematics of exponentials can help us keep our heads about the swift advancement of AI.

Additional materials: www.superdatascience.com/862

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 14 Feb 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7b1390f4-e53d-11ef-bc18-fb111c781f1a/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of “In Case You Missed It”, Jon Krohn shares his favorite clips from the last four weeks. He talks to Azeem Azhar, Florian Neukart, Kirill Eremenko, Hadelin de Ponteves, and Brooke Hopkins on what’s in store for AI in 2025, from quantum computing and customizable tools to handy checklists and how the mathematics of exponentials can help us keep our heads about the swift advancement of AI.</itunes:subtitle>
      <itunes:summary>In this episode of “In Case You Missed It”, Jon Krohn shares his favorite clips from the last four weeks. He talks to Azeem Azhar, Florian Neukart, Kirill Eremenko, Hadelin de Ponteves, and Brooke Hopkins on what’s in store for AI in 2025, from quantum computing and customizable tools to handy checklists and how the mathematics of exponentials can help us keep our heads about the swift advancement of AI.

Additional materials: www.superdatascience.com/862

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of “In Case You Missed It”, Jon Krohn shares his favorite clips from the last four weeks. He talks to Azeem Azhar, Florian Neukart, Kirill Eremenko, Hadelin de Ponteves, and Brooke Hopkins on what’s in store for AI in 2025, from quantum computing and customizable tools to handy checklists and how the mathematics of exponentials can help us keep our heads about the swift advancement of AI.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/862">www.superdatascience.com/862</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1911</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[7b1390f4-e53d-11ef-bc18-fb111c781f1a]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6729267045.mp3?updated=1739263038" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>861: From Pro Athlete to Data Engineer: Colleen Fotsch’s Inspiring Journey</title>
      <link>https://www.superdatascience.com/861</link>
      <description>How does a CrossFit winner, bobsledder and swimmer go on to have a glittering career in data analytics and engineering? Colleen Fotsch talks to Jon Krohn about transitioning into very different career paths, how sports gave her the competitive mindset she needed for success in data science, and seeing the niche role of analytics engineering as a bridge between data engineering and analysis.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(05:49) Colleen’s path from athlete to data analyst

(1:14:41) About the data build tool (DBT)

(1:22:51) Colleen’s work at CHG Healthcare

(1:32:45) How Colleen and Tia-Clair got started with PRVN GO


Additional materials: www.superdatascience.com/861</description>
      <pubDate>Tue, 11 Feb 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6de5d474-e46f-11ef-ad34-0ba71f650dca/image/a7ef2ecdc8d3651244a89f2eb59eb6de.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How does a CrossFit winner, bobsledder and swimmer go on to have a glittering career in data analytics and engineering? Colleen Fotsch talks to Jon Krohn about transitioning into very different career paths, how sports gave her the competitive mindset she needed for success in data science, and seeing the niche role of analytics engineering as a bridge between data engineering and analysis.</itunes:subtitle>
      <itunes:summary>How does a CrossFit winner, bobsledder and swimmer go on to have a glittering career in data analytics and engineering? Colleen Fotsch talks to Jon Krohn about transitioning into very different career paths, how sports gave her the competitive mindset she needed for success in data science, and seeing the niche role of analytics engineering as a bridge between data engineering and analysis.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(05:49) Colleen’s path from athlete to data analyst

(1:14:41) About the data build tool (DBT)

(1:22:51) Colleen’s work at CHG Healthcare

(1:32:45) How Colleen and Tia-Clair got started with PRVN GO


Additional materials: www.superdatascience.com/861</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How does a CrossFit winner, bobsledder and swimmer go on to have a glittering career in data analytics and engineering? Colleen Fotsch talks to Jon Krohn about transitioning into very different career paths, how sports gave her the competitive mindset she needed for success in data science, and seeing the niche role of analytics engineering as a bridge between data engineering and analysis.</p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="https://cms.megaphone.fm/organizations/a55d14b8-e2fd-11ee-a151-23f36842f7c5/podcasts/efa92454-1c31-11ef-9e30-03596b470c27/episodes/813fa380-deeb-11ef-8877-c3f1a7541364/natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(05:49) Colleen’s path from athlete to data analyst</li>
<li>(1:14:41) About the data build tool (DBT)</li>
<li>(1:22:51) Colleen’s work at CHG Healthcare</li>
<li>(1:32:45) How Colleen and Tia-Clair got started with PRVN GO</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/861">www.superdatascience.com/861</a></p>]]>
      </content:encoded>
      <itunes:duration>7242</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[6de5d474-e46f-11ef-ad34-0ba71f650dca]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8967781573.mp3?updated=1739198457" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>860: DeepSeek R1: SOTA Reasoning at 1% of the Cost</title>
      <link>https://www.superdatascience.com/860</link>
      <description>DeepSeek-curious? This Five-Minute Friday is for you! Jon Krohn investigates the overwhelming overnight success of this new LLM, the product of a Chinese hedge fund. DeepSeek is a market newcomer, and yet it runs shoulder to shoulder with behemoths from OpenAI, Anthropic and Google like it’s all in a day’s work.

Additional materials: www.superdatascience.com/860

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 07 Feb 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/5b43105a-e3b8-11ef-afbf-17a61c7ed78f/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>DeepSeek-curious? This Five-Minute Friday is for you! Jon Krohn investigates the overwhelming overnight success of this new LLM, the product of a Chinese hedge fund. DeepSeek is a market newcomer, and yet it runs shoulder to shoulder with behemoths from OpenAI, Anthropic and Google like it’s all in a day’s work.</itunes:subtitle>
      <itunes:summary>DeepSeek-curious? This Five-Minute Friday is for you! Jon Krohn investigates the overwhelming overnight success of this new LLM, the product of a Chinese hedge fund. DeepSeek is a market newcomer, and yet it runs shoulder to shoulder with behemoths from OpenAI, Anthropic and Google like it’s all in a day’s work.

Additional materials: www.superdatascience.com/860

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>DeepSeek-curious? This Five-Minute Friday is for you! Jon Krohn investigates the overwhelming overnight success of this new LLM, the product of a Chinese hedge fund. DeepSeek is a market newcomer, and yet it runs shoulder to shoulder with behemoths from OpenAI, Anthropic and Google like it’s all in a day’s work.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/860">www.superdatascience.com/860</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>788</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[5b43105a-e3b8-11ef-afbf-17a61c7ed78f]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2920995143.mp3?updated=1738825204" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>859: BAML: The Programming Language for AI, with Vaibhav Gupta</title>
      <link>https://www.superdatascience.com/859</link>
      <description>In this week’s guest interview, Vaibhav Gupta talks to Jon Krohn about creating a programming language, BAML, that helps companies save up to 30% on their AI costs. He explains how he started tailoring BAML to facilitate natural language generation interactions with AI models, how BAML helps companies optimize their outputs, and he also lets listeners into Boundary’s hiring process.

This episode is brought to you by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(04:53) What BAML stands for

(14:33) Making a prompt engineering a serious practice

(18:00) How BAML helps companies

(23:30) Using retrieval-augmented generation (RAG)

(43:09) How to get a job at Boundary


Additional materials: www.superdatascience.com/859</description>
      <pubDate>Tue, 04 Feb 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/813fa380-deeb-11ef-8877-c3f1a7541364/image/a2255b4559a898fd68334eb6cf0adc09.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this week’s guest interview, Vaibhav Gupta talks to Jon Krohn about creating a programming language, BAML, that helps companies save up to 30% on their AI costs. He explains how he started tailoring BAML to facilitate natural language generation interactions with AI models, how BAML helps companies optimize their outputs, and he also lets listeners into Boundary’s hiring process.</itunes:subtitle>
      <itunes:summary>In this week’s guest interview, Vaibhav Gupta talks to Jon Krohn about creating a programming language, BAML, that helps companies save up to 30% on their AI costs. He explains how he started tailoring BAML to facilitate natural language generation interactions with AI models, how BAML helps companies optimize their outputs, and he also lets listeners into Boundary’s hiring process.

This episode is brought to you by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(04:53) What BAML stands for

(14:33) Making a prompt engineering a serious practice

(18:00) How BAML helps companies

(23:30) Using retrieval-augmented generation (RAG)

(43:09) How to get a job at Boundary


Additional materials: www.superdatascience.com/859</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this week’s guest interview, Vaibhav Gupta talks to Jon Krohn about creating a programming language, BAML, that helps companies save up to 30% on their AI costs. He explains how he started tailoring BAML to facilitate natural language generation interactions with AI models, how BAML helps companies optimize their outputs, and he also lets listeners into Boundary’s hiring process.</p><p><br></p><p>This episode is brought to you by <a href="https://odsc.com/boston/">ODSC</a>, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(04:53) What BAML stands for</li>
<li>(14:33) Making a prompt engineering a serious practice</li>
<li>(18:00) How BAML helps companies</li>
<li>(23:30) Using retrieval-augmented generation (RAG)</li>
<li>(43:09) How to get a job at Boundary</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/859">www.superdatascience.com/859</a></p>]]>
      </content:encoded>
      <itunes:duration>3570</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[813fa380-deeb-11ef-8877-c3f1a7541364]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5108583389.mp3?updated=1738315693" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>858: Are You The Account Executive We’re Looking For?</title>
      <link>https://www.superdatascience.com/858</link>
      <description>Are you an Account Executive with experience in the technology sector? In this Five-Minute Friday, Jon Krohn tells listeners about an exciting new role that has opened up at The SuperDataScience Podcast.

Additional materials: www.superdatascience.com/858

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 31 Jan 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/d89d44c0-da4f-11ef-ae88-6fa36bb4e7bc/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Are you an Account Executive with experience in the technology sector? In this Five-Minute Friday, Jon Krohn tells listeners about an exciting new role that has opened up at The SuperDataScience Podcast.</itunes:subtitle>
      <itunes:summary>Are you an Account Executive with experience in the technology sector? In this Five-Minute Friday, Jon Krohn tells listeners about an exciting new role that has opened up at The SuperDataScience Podcast.

Additional materials: www.superdatascience.com/858

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Are you an Account Executive with experience in the technology sector? In this Five-Minute Friday, Jon Krohn tells listeners about an exciting new role that has opened up at The SuperDataScience Podcast.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/858">www.superdatascience.com/858</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>433</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[d89d44c0-da4f-11ef-ae88-6fa36bb4e7bc]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2663342166.mp3?updated=1737722515" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>857: How to Ensure AI Agents Are Accurate and Reliable, with Brooke Hopkins</title>
      <link>https://www.superdatascience.com/857</link>
      <description>Brooke Hopkins speaks to Jon Krohn about technology’s new frontiers in AI agents, how these agents will impact society, work and our creative enterprises, and what this might mean for our data-driven future. You will learn how Coval, a simulation and evaluation platform for AI voice and chat agents, helps companies balance precision and scalability while making few concessions on the way. 

This episode is brought to you by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(07:49) What Coval does and how the platform works

(21:16) Coval’s workflows

(37:40) The future of AI agents 

(46:28) The metrics to evaluate performance 

(55:08) How close we are to achieving AI agent autonomy


Additional materials: www.superdatascience.com/857</description>
      <pubDate>Tue, 28 Jan 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f2deb6b2-d8cd-11ef-b829-b36b6830be73/image/449b03afedd961d33c322c984892c2e6.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Brooke Hopkins speaks to Jon Krohn about technology’s new frontiers in AI agents, how these agents will impact society, work and our creative enterprises, and what this might mean for our data-driven future. You will learn how Coval, a simulation and evaluation platform for AI voice and chat agents, helps companies balance precision and scalability while making few concessions on the way. </itunes:subtitle>
      <itunes:summary>Brooke Hopkins speaks to Jon Krohn about technology’s new frontiers in AI agents, how these agents will impact society, work and our creative enterprises, and what this might mean for our data-driven future. You will learn how Coval, a simulation and evaluation platform for AI voice and chat agents, helps companies balance precision and scalability while making few concessions on the way. 

This episode is brought to you by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(07:49) What Coval does and how the platform works

(21:16) Coval’s workflows

(37:40) The future of AI agents 

(46:28) The metrics to evaluate performance 

(55:08) How close we are to achieving AI agent autonomy


Additional materials: www.superdatascience.com/857</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Brooke Hopkins speaks to Jon Krohn about technology’s new frontiers in AI agents, how these agents will impact society, work and our creative enterprises, and what this might mean for our data-driven future. You will learn how Coval, a simulation and evaluation platform for AI voice and chat agents, helps companies balance precision and scalability while making few concessions on the way. </p><p><br></p><p>This episode is brought to you by <a href="https://odsc.com/boston/">ODSC</a>, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(07:49) What Coval does and how the platform works</li>
<li>(21:16) Coval’s workflows</li>
<li>(37:40) The future of AI agents </li>
<li>(46:28) The metrics to evaluate performance </li>
<li>(55:08) How close we are to achieving AI agent autonomy</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/857">www.superdatascience.com/857</a></p>]]>
      </content:encoded>
      <itunes:duration>4963</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[f2deb6b2-d8cd-11ef-b829-b36b6830be73]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1385793109.mp3?updated=1738080658" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>856: The Fastest-Growing Jobs Are AI Jobs</title>
      <link>https://www.superdatascience.com/856</link>
      <description>Get excited: The fastest-growing jobs in the US are AI Engineer and AI Consultant. In this Five-Minute Friday, Jon Krohn looks into the reports that reveal this job growth, and the trends any data scientist and AI professional will want to watch in 2025.

Additional materials: www.superdatascience.com/856

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 24 Jan 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3ea5b666-d96b-11ef-924e-670765830376/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Get excited: The fastest-growing jobs in the US are AI Engineer and AI Consultant. In this Five-Minute Friday, Jon Krohn looks into the reports that reveal this job growth, and the trends any data scientist and AI professional will want to watch in 2025.</itunes:subtitle>
      <itunes:summary>Get excited: The fastest-growing jobs in the US are AI Engineer and AI Consultant. In this Five-Minute Friday, Jon Krohn looks into the reports that reveal this job growth, and the trends any data scientist and AI professional will want to watch in 2025.

Additional materials: www.superdatascience.com/856

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Get excited: The fastest-growing jobs in the US are AI Engineer and AI Consultant. In this Five-Minute Friday, Jon Krohn looks into the reports that reveal this job growth, and the trends any data scientist and AI professional will want to watch in 2025.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/856">www.superdatascience.com/856</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>602</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[3ea5b666-d96b-11ef-924e-670765830376]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8678086918.mp3?updated=1737624331" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>855: Exponential Views on AI and Humanity’s Greatest Challenges, with Azeem Azhar</title>
      <link>https://www.superdatascience.com/855</link>
      <description>How can we use AI to solve global problems like the environmental crisis, and how will future AI start to manage increasingly complex workflows? Famed futurist Azeem Azhar talks to Jon Krohn about the future of AI as a force for good, how we can stay mindful of an evolving job market, and Azeem’s favorite tools for automating his workflows.

This episode is brought to you by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(05:43) Azeem Azhar’s vision for AI’s future

(14:16) How to prepare for technological shifts

(20:35) How to be more like an AI-first company

(38:46) The tools Azeem Azhar uses regularly

(50:09) The benefits and risks of transitioning to renewable energy

(1:09:28) Opportunities in the future workplace


Additional materials: www.superdatascience.com/855</description>
      <pubDate>Tue, 21 Jan 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/5af6c108-d3f7-11ef-91fb-ab7bce6c9da3/image/f85066b56c38529378fa884bbfe241f5.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How can we use AI to solve global problems like the environmental crisis, and how will future AI start to manage increasingly complex workflows? Famed futurist Azim Azhar talks to Jon Krohn about the future of AI as a force for good, how we can stay mindful of an evolving job market, and Azim’s favorite tools for automating his workflows.</itunes:subtitle>
      <itunes:summary>How can we use AI to solve global problems like the environmental crisis, and how will future AI start to manage increasingly complex workflows? Famed futurist Azeem Azhar talks to Jon Krohn about the future of AI as a force for good, how we can stay mindful of an evolving job market, and Azeem’s favorite tools for automating his workflows.

This episode is brought to you by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(05:43) Azeem Azhar’s vision for AI’s future

(14:16) How to prepare for technological shifts

(20:35) How to be more like an AI-first company

(38:46) The tools Azeem Azhar uses regularly

(50:09) The benefits and risks of transitioning to renewable energy

(1:09:28) Opportunities in the future workplace


Additional materials: www.superdatascience.com/855</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How can we use AI to solve global problems like the environmental crisis, and how will future AI start to manage increasingly complex workflows? Famed futurist Azeem Azhar talks to Jon Krohn about the future of AI as a force for good, how we can stay mindful of an evolving job market, and Azeem’s favorite tools for automating his workflows.</p><p><br></p><p>This episode is brought to you by <a href="https://odsc.com/boston">ODSC</a>, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(05:43) Azeem Azhar’s vision for AI’s future</li>
<li>(14:16) How to prepare for technological shifts</li>
<li>(20:35) How to be more like an AI-first company</li>
<li>(38:46) The tools Azeem Azhar uses regularly</li>
<li>(50:09) The benefits and risks of transitioning to renewable energy</li>
<li>(1:09:28) Opportunities in the future workplace</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/855">www.superdatascience.com/855</a></p>]]>
      </content:encoded>
      <itunes:duration>5292</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[5af6c108-d3f7-11ef-91fb-ab7bce6c9da3]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1730372394.mp3?updated=1737454145" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>854: The Six Epochs of Intelligence Evolution</title>
      <link>https://www.superdatascience.com/854</link>
      <description>Join Jon Krohn as he unpacks Ray Kurzweil’s six epochs of intelligence evolution, a fascinating framework from The Singularity is Nearer. From the origins of atoms and molecules to the transformative future of brain-computer interfaces and cosmic intelligence, Jon explores how each stage builds upon the last. This quick yet profound journey reveals how humanity is shaping the Fifth Epoch—and hints at what’s next for intelligence in our universe.

Additional materials: www.superdatascience.com/854

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 17 Jan 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2e45d9be-d34d-11ef-96a1-f7d6dc8836ec/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Join Jon Krohn as he unpacks Ray Kurzweil’s six epochs of intelligence evolution, a fascinating framework from The Singularity is Nearer. From the origins of atoms and molecules to the transformative future of brain-computer interfaces and cosmic intelligence, Jon explores how each stage builds upon the last. This quick yet profound journey reveals how humanity is shaping the Fifth Epoch—and hints at what’s next for intelligence in our universe.</itunes:subtitle>
      <itunes:summary>Join Jon Krohn as he unpacks Ray Kurzweil’s six epochs of intelligence evolution, a fascinating framework from The Singularity is Nearer. From the origins of atoms and molecules to the transformative future of brain-computer interfaces and cosmic intelligence, Jon explores how each stage builds upon the last. This quick yet profound journey reveals how humanity is shaping the Fifth Epoch—and hints at what’s next for intelligence in our universe.

Additional materials: www.superdatascience.com/854

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Join Jon Krohn as he unpacks Ray Kurzweil’s six epochs of intelligence evolution, a fascinating framework from The Singularity is Nearer. From the origins of atoms and molecules to the transformative future of brain-computer interfaces and cosmic intelligence, Jon explores how each stage builds upon the last. This quick yet profound journey reveals how humanity is shaping the Fifth Epoch—and hints at what’s next for intelligence in our universe.</p><p><br></p><p>Additional materials:<a href="https://www.superdatascience.com/854"> www.superdatascience.com/854</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>836</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[2e45d9be-d34d-11ef-96a1-f7d6dc8836ec]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7885350918.mp3?updated=1736955701" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>853: Generative AI for Business, with Kirill Eremenko and Hadelin de Ponteves</title>
      <link>https://www.superdatascience.com/853</link>
      <description>Kirill Eremenko and Hadelin de Ponteves AI educators, whose courses have been taken by over 3 Million students, sit down with Jon Krohn to talk about how foundation models are transforming businesses. From real-world examples to clever customization techniques and powerful AWS tools, they cover it all.

bravotech.ai - Partner with Kirill &amp; Hadelin for GenAI implementation and training in your business. Mention the “SDS Podcast” in your inquiry to start with 3 complimentary hours of consulting.

This episode is brought to you by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(07:00) What are foundation models?

(15:45) Overview of the foundation model lifecycle: 8 main steps.

(29:11) Criteria for selecting the right foundation model for business use.

(41:35) Exploring methods to customize foundation models.

(53:04) Techniques to modify foundation models during deployment or inference.

(01:11:00) Introduction to AWS generative AI tools like Amazon Q, Bedrock, and SageMaker.


Additional materials: www.superdatascience.com/853</description>
      <pubDate>Tue, 14 Jan 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3251cb42-d007-11ef-812d-9f769890bd95/image/d146adfb607d788f1ef1701acf548f8b.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Kirill Eremenko and Hadelin de Ponteves AI educators, whose courses have been taken by over 3 Million students, sit down with Jon Krohn to talk about how foundation models are transforming businesses. From real-world examples to clever customization techniques and powerful AWS tools, they cover it all.</itunes:subtitle>
      <itunes:summary>Kirill Eremenko and Hadelin de Ponteves AI educators, whose courses have been taken by over 3 Million students, sit down with Jon Krohn to talk about how foundation models are transforming businesses. From real-world examples to clever customization techniques and powerful AWS tools, they cover it all.

bravotech.ai - Partner with Kirill &amp; Hadelin for GenAI implementation and training in your business. Mention the “SDS Podcast” in your inquiry to start with 3 complimentary hours of consulting.

This episode is brought to you by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(07:00) What are foundation models?

(15:45) Overview of the foundation model lifecycle: 8 main steps.

(29:11) Criteria for selecting the right foundation model for business use.

(41:35) Exploring methods to customize foundation models.

(53:04) Techniques to modify foundation models during deployment or inference.

(01:11:00) Introduction to AWS generative AI tools like Amazon Q, Bedrock, and SageMaker.


Additional materials: www.superdatascience.com/853</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Kirill Eremenko and Hadelin de Ponteves AI educators, whose courses have been taken by over 3 Million students, sit down with Jon Krohn to talk about how foundation models are transforming businesses. From real-world examples to clever customization techniques and powerful AWS tools, they cover it all.</p><p><br></p><p><a href="http://bravotech.ai/"><strong>bravotech.ai</strong></a> - Partner with Kirill &amp; Hadelin for GenAI implementation and training in your business. Mention the “SDS Podcast” in your inquiry to start with 3 complimentary hours of consulting.</p><p><br></p><p>This episode is brought to you by <a href="https://odsc.com/boston">ODSC</a>, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(07:00) What are foundation models?</li>
<li>(15:45) Overview of the foundation model lifecycle: 8 main steps.</li>
<li>(29:11) Criteria for selecting the right foundation model for business use.</li>
<li>(41:35) Exploring methods to customize foundation models.</li>
<li>(53:04) Techniques to modify foundation models during deployment or inference.</li>
<li>(01:11:00) Introduction to AWS generative AI tools like Amazon Q, Bedrock, and SageMaker.</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/853">www.superdatascience.com/853</a></p>]]>
      </content:encoded>
      <itunes:duration>5340</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[3251cb42-d007-11ef-812d-9f769890bd95]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3283811395.mp3?updated=1736859458" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>852: In Case You Missed It in December 2024</title>
      <link>https://www.superdatascience.com/852</link>
      <description>AI security, LLM engineering, how to choose the best LLM, and tech agnosticism: In our first “In Case You Missed It” of 2025, Jon Krohn starts the year with a round-up of our favorite recent interview moments. He selects from interviews with Andrew Ng, Ed Donner, Eiman Ebrahimi, Sadie St Lawrence, and Greg Epstein, covering the latest in AI development, touching on agentic workflows, promising new roles in AI, and what blew our minds last year.

Additional materials: www.superdatascience.com/852

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 10 Jan 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/58010e34-cda5-11ef-8c7e-f3b87bbc9f28/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>AI security, LLM engineering, how to choose the best LLM, and tech agnosticism: In our first “In Case You Missed It” of 2025, Jon Krohn starts the year with a round-up of our favorite recent interview moments. He selects from interviews with Andrew Ng, Ed Donner, Eiman Ebrahimi, Sadie St Lawrence, and Greg Epstein, covering the latest in AI development, touching on agentic workflows, promising new roles in AI, and what blew our minds last year.</itunes:subtitle>
      <itunes:summary>AI security, LLM engineering, how to choose the best LLM, and tech agnosticism: In our first “In Case You Missed It” of 2025, Jon Krohn starts the year with a round-up of our favorite recent interview moments. He selects from interviews with Andrew Ng, Ed Donner, Eiman Ebrahimi, Sadie St Lawrence, and Greg Epstein, covering the latest in AI development, touching on agentic workflows, promising new roles in AI, and what blew our minds last year.

Additional materials: www.superdatascience.com/852

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>AI security, LLM engineering, how to choose the best LLM, and tech agnosticism: In our first “In Case You Missed It” of 2025, Jon Krohn starts the year with a round-up of our favorite recent interview moments. He selects from interviews with Andrew Ng, Ed Donner, Eiman Ebrahimi, Sadie St Lawrence, and Greg Epstein, covering the latest in AI development, touching on agentic workflows, promising new roles in AI, and what blew our minds last year.</p><p><br></p><p>Additional materials: <a href="www.superdatascience.com/852">www.superdatascience.com/852</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2415</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[58010e34-cda5-11ef-8c7e-f3b87bbc9f28]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8748217232.mp3?updated=1736329855" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>851: Quantum ML: Real-World Applications Today, with Dr. Florian Neukart</title>
      <link>https://www.superdatascience.com/851</link>
      <description>Are our passwords safe, even with the increasing accessibility of quantum computing? Florian Neukart, Chief Product Officer at Terra Quantum AG, thinks so. In this episode, he outlines the three key elements of quantum-safe security. He speaks to Jon Krohn about the resourceful applications of quantum computing and workarounds for the demands of quantum computing on operational times and cooling systems. And if you’re interested in making the switch to quantum computing from machine learning, he also explores what you need (and don’t need) to make change happen.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(17:12) The real-world applications of quantum computing

(23:35) The chips needed for quantum computing 

(31:18) How quantum computing meets key business challenges

(46:33) The ethical challenges of quantum technology

(49:28) How to become proficient in quantum computing 

(1:01:21) The future of quantum computing



Additional materials: www.superdatascience.com/851</description>
      <pubDate>Tue, 07 Jan 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/05755a4c-cc03-11ef-a9c6-bfa12e7187e6/image/a58dfeaa9c4059981dffb282d5020cae.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Are our passwords safe, even with the increasing accessibility of quantum computing? Florian Neukart, Chief Product Officer at Terra Quantum AG, thinks so. In this episode, he outlines the three key elements of quantum-safe security. He speaks to Jon Krohn about the resourceful applications of quantum computing and workarounds for the demands of quantum computing on operational times and cooling systems. And if you’re interested in making the switch to quantum computing from machine learning, he also explores what you need (and don’t need) to make change happen.</itunes:subtitle>
      <itunes:summary>Are our passwords safe, even with the increasing accessibility of quantum computing? Florian Neukart, Chief Product Officer at Terra Quantum AG, thinks so. In this episode, he outlines the three key elements of quantum-safe security. He speaks to Jon Krohn about the resourceful applications of quantum computing and workarounds for the demands of quantum computing on operational times and cooling systems. And if you’re interested in making the switch to quantum computing from machine learning, he also explores what you need (and don’t need) to make change happen.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(17:12) The real-world applications of quantum computing

(23:35) The chips needed for quantum computing 

(31:18) How quantum computing meets key business challenges

(46:33) The ethical challenges of quantum technology

(49:28) How to become proficient in quantum computing 

(1:01:21) The future of quantum computing



Additional materials: www.superdatascience.com/851</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Are our passwords safe, even with the increasing accessibility of quantum computing? Florian Neukart, Chief Product Officer at Terra Quantum AG, thinks so. In this episode, he outlines the three key elements of quantum-safe security. He speaks to Jon Krohn about the resourceful applications of quantum computing and workarounds for the demands of quantum computing on operational times and cooling systems. And if you’re interested in making the switch to quantum computing from machine learning, he also explores what you need (and don’t need) to make change happen.</p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(17:12) The real-world applications of quantum computing</li>
<li>(23:35) The chips needed for quantum computing </li>
<li>(31:18) How quantum computing meets key business challenges</li>
<li>(46:33) The ethical challenges of quantum technology</li>
<li>(49:28) How to become proficient in quantum computing </li>
<li>(1:01:21) The future of quantum computing</li>
</ul><p><br></p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/851">www.superdatascience.com/851</a></p>]]>
      </content:encoded>
      <itunes:duration>4311</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[05755a4c-cc03-11ef-a9c6-bfa12e7187e6]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2419105053.mp3?updated=1736590161" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>850: Continuous Calendar for 2025</title>
      <link>https://www.superdatascience.com/850</link>
      <description>A new year often draws our focus towards fresh approaches to the way we work and structure our day. For Jon Krohn, the continuous calendar gives him a realistic and uninterrupted overview of his time. Plus, it’s customizable and free! In this episode, Jon also shares his plans and priorities for the New Year, and he recommends how you can assess and achieve your goals for the year; critical advice for anyone who wants to create manageable and sustainable milestones in 2025.

Additional materials: www.superdatascience.com/850

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 03 Jan 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c6cb255a-c8de-11ef-954a-1343d324c4e4/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>A new year often draws our focus towards fresh approaches to the way we work and structure our day. For Jon Krohn, the continuous calendar gives him a realistic and uninterrupted overview of his time.  Plus, it’s customizable and free! In this episode, Jon also shares his plans and priorities for the New Year, and he recommends how you can assess and achieve your goals for the year; critical advice for anyone who wants to create manageable and sustainable milestones in 2025.</itunes:subtitle>
      <itunes:summary>A new year often draws our focus towards fresh approaches to the way we work and structure our day. For Jon Krohn, the continuous calendar gives him a realistic and uninterrupted overview of his time. Plus, it’s customizable and free! In this episode, Jon also shares his plans and priorities for the New Year, and he recommends how you can assess and achieve your goals for the year; critical advice for anyone who wants to create manageable and sustainable milestones in 2025.

Additional materials: www.superdatascience.com/850

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>A new year often draws our focus towards fresh approaches to the way we work and structure our day. For Jon Krohn, the continuous calendar gives him a realistic and uninterrupted overview of his time. Plus, it’s customizable and free! In this episode, Jon also shares his plans and priorities for the New Year, and he recommends how you can assess and achieve your goals for the year; critical advice for anyone who wants to create manageable and sustainable milestones in 2025.</p><p><br></p><p>Additional materials: <a href="www.superdatascience.com/850">www.superdatascience.com/850</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>304</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[c6cb255a-c8de-11ef-954a-1343d324c4e4]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8709916728.mp3?updated=1735805316" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>849: 2025 AI and Data Science Predictions, with Sadie St. Lawrence</title>
      <link>https://www.superdatascience.com/849</link>
      <description>Sadie St Lawrence returns for her 4th annual prediction episode on the Super Data Science Podcast. Together with host Jon Krohn, they reflect on 2024’s most transformative trends—like agentic AI and enterprise AI monetization—and predict what's coming in 2025, from AI-driven science to the skills data scientists need to stay ahead.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(03:30) 2024 AI trend recap

(19:23) Comeback of the year: Google

(27:29) Wow moment of the year

(40:20) Looking ahead to 2025


Additional materials: www.superdatascience.com/849</description>
      <pubDate>Tue, 31 Dec 2024 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0e2e4004-c37a-11ef-bc6e-db9e5a91156a/image/797d216e40912ce725773890a15efd2c.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Sadie St Lawrence returns for her 4th annual prediction episode on the Super Data Science Podcast. Together with host Jon Krohn, they reflect on 2024’s most transformative trends—like agentic AI and enterprise AI monetization—and predict what's coming in 2025, from AI-driven science to the skills data scientists need to stay ahead.</itunes:subtitle>
      <itunes:summary>Sadie St Lawrence returns for her 4th annual prediction episode on the Super Data Science Podcast. Together with host Jon Krohn, they reflect on 2024’s most transformative trends—like agentic AI and enterprise AI monetization—and predict what's coming in 2025, from AI-driven science to the skills data scientists need to stay ahead.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(03:30) 2024 AI trend recap

(19:23) Comeback of the year: Google

(27:29) Wow moment of the year

(40:20) Looking ahead to 2025


Additional materials: www.superdatascience.com/849</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Sadie St Lawrence returns for her 4th annual prediction episode on the Super Data Science Podcast. Together with host Jon Krohn, they reflect on 2024’s most transformative trends—like agentic AI and enterprise AI monetization—and predict what's coming in 2025, from AI-driven science to the skills data scientists need to stay ahead.</p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(03:30) 2024 AI trend recap</li>
<li>(19:23) Comeback of the year: Google</li>
<li>(27:29) Wow moment of the year</li>
<li>(40:20) Looking ahead to 2025</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/849">www.superdatascience.com/849</a></p>]]>
      </content:encoded>
      <itunes:duration>4709</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[0e2e4004-c37a-11ef-bc6e-db9e5a91156a]]></guid>
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    </item>
    <item>
      <title>848: Happy Holidays from the SuperDataScience Podcast</title>
      <link>https://www.superdatascience.com/848</link>
      <description>In this Five-Minute Friday episode, Jon Krohn reflects on 2024’s monumental year in AI, highlighting the rapid rise of generative AI and its impact across industries. From functional coding breakthroughs to independently acting AI agents, we explore the transformative power of these advancements and the promise they hold for 2025. Jon shares optimism for the future of AI and humanity's ability to harness it for the greater good.

Additional materials: www.superdatascience.com/848

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 27 Dec 2024 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/556529de-c36f-11ef-8873-e3acc6c3e5fd/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this Five-Minute Friday episode, Jon Krohn reflects on 2024’s monumental year in AI, highlighting the rapid rise of generative AI and its impact across industries. From functional coding breakthroughs to independently acting AI agents, we explore the transformative power of these advancements and the promise they hold for 2025. Jon shares optimism for the future of AI and humanity's ability to harness it for the greater good.</itunes:subtitle>
      <itunes:summary>In this Five-Minute Friday episode, Jon Krohn reflects on 2024’s monumental year in AI, highlighting the rapid rise of generative AI and its impact across industries. From functional coding breakthroughs to independently acting AI agents, we explore the transformative power of these advancements and the promise they hold for 2025. Jon shares optimism for the future of AI and humanity's ability to harness it for the greater good.

Additional materials: www.superdatascience.com/848

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this Five-Minute Friday episode, Jon Krohn reflects on 2024’s monumental year in AI, highlighting the rapid rise of generative AI and its impact across industries. From functional coding breakthroughs to independently acting AI agents, we explore the transformative power of these advancements and the promise they hold for 2025. Jon shares optimism for the future of AI and humanity's ability to harness it for the greater good.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/848">www.superdatascience.com/848</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>203</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[556529de-c36f-11ef-8873-e3acc6c3e5fd]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7256965338.mp3?updated=1735207142" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>847: AI Engineering 101, with Ed Donner</title>
      <link>https://www.superdatascience.com/847</link>
      <description>Ed Donner co-founded AI-driven recruitment platform, Nebula.io, with The SuperDataScience Podcast’s host, Jon Krohn. Ed and Jon reminisce about how they launched their company, the growing opportunities for data scientists, how to choose an LLM, and today’s top technical terms in AI. 

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(11:15) What an AI engineer does

(19:23) Defining today’s key terms in AI: RAG, fine tuning, agentic.

(27:09) How to select an LLM

(49:41) Pitting LLMs against each other in a game

(53:14) What to do once you’ve selected an AI model


Additional materials: www.superdatascience.com/847</description>
      <pubDate>Tue, 24 Dec 2024 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a66e818e-bef3-11ef-b0f2-b76d1c0f8308/image/1143f3dc3477acfc7c312b962f87e69d.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Ed Donner co-founded AI-driven recruitment platform, Nebula.io, with The SuperDataScience Podcast’s host, Jon Krohn. Ed and Jon reminisce about how they launched their company, the growing opportunities for data scientists, how to choose an LLM, and today’s top technical terms in AI. </itunes:subtitle>
      <itunes:summary>Ed Donner co-founded AI-driven recruitment platform, Nebula.io, with The SuperDataScience Podcast’s host, Jon Krohn. Ed and Jon reminisce about how they launched their company, the growing opportunities for data scientists, how to choose an LLM, and today’s top technical terms in AI. 

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(11:15) What an AI engineer does

(19:23) Defining today’s key terms in AI: RAG, fine tuning, agentic.

(27:09) How to select an LLM

(49:41) Pitting LLMs against each other in a game

(53:14) What to do once you’ve selected an AI model


Additional materials: www.superdatascience.com/847</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Ed Donner co-founded AI-driven recruitment platform, Nebula.io, with The SuperDataScience Podcast’s host, Jon Krohn. Ed and Jon reminisce about how they launched their company, the growing opportunities for data scientists, how to choose an LLM, and today’s top technical terms in AI. </p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(11:15) What an AI engineer does</li>
<li>(19:23) Defining today’s key terms in AI: RAG, fine tuning, agentic.</li>
<li>(27:09) How to select an LLM</li>
<li>(49:41) Pitting LLMs against each other in a game</li>
<li>(53:14) What to do once you’ve selected an AI model</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/847">www.superdatascience.com/847</a></p>]]>
      </content:encoded>
      <itunes:duration>4334</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[a66e818e-bef3-11ef-b0f2-b76d1c0f8308]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3131688456.mp3?updated=1735031792" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>846: Making Enterprise Data Ready for AI, with Anu Jain and Mahesh Kumar</title>
      <description>In this Five-Minute Friday, Jon Krohn speaks to Anu Jain, CEO of Nexus Cognitive, and Mahesh Kumar, CMO of Acceldata. They talk about the importance of updating data, especially for predictive models that make key financial decisions for a company, as well as the current state of data governance and why it’s overdue its own update.

Additional materials: www.superdatascience.com/846

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 20 Dec 2024 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/53e64a72-be18-11ef-804e-876e5f6b7f0c/image/27a88f9f280117cf55236f31d4cc72c0.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this Five-Minute Friday, Jon Krohn speaks to Anu Jain, CEO of Nexus Cognitive, and Mahesh Kumar, CMO of Acceldata. They talk about the importance of updating data, especially for predictive models that make key financial decisions for a company, as well as the current state of data governance and why it’s overdue its own update.</itunes:subtitle>
      <itunes:summary>In this Five-Minute Friday, Jon Krohn speaks to Anu Jain, CEO of Nexus Cognitive, and Mahesh Kumar, CMO of Acceldata. They talk about the importance of updating data, especially for predictive models that make key financial decisions for a company, as well as the current state of data governance and why it’s overdue its own update.

Additional materials: www.superdatascience.com/846

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this Five-Minute Friday, Jon Krohn speaks to Anu Jain, CEO of Nexus Cognitive, and Mahesh Kumar, CMO of Acceldata. They talk about the importance of updating data, especially for predictive models that make key financial decisions for a company, as well as the current state of data governance and why it’s overdue its own update.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/846">www.superdatascience.com/846</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1084</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[53e64a72-be18-11ef-804e-876e5f6b7f0c]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5943228088.mp3?updated=1734620018" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>845: Tech is Our New Religion And It Needs Reformation, with Greg Epstein</title>
      <link>https://www.superdatascience.com/845</link>
      <description>Discover how technology has become the modern belief system shaping our world. Greg Epstein, author of Tech Agnostic: How Technology Became the World's Most Powerful Religion, and Why It Desperately Needs a Reformation, draws striking parallels between tech culture and traditional faiths. From AI's "singularity" echoing prophetic narratives to Silicon Valley’s promises of salvation through innovation, Greg uncovers the profound influence of technology on our lives. He challenges us to rethink blind faith in progress, focus on genuine human connection, and navigate a future where ethics and empathy guide innovation.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(08:30) How can someone cultivate connection without religion?

(15:49) Social media as a new form of community

(17:00) Tech's transformation into a religion

(56:08) How to set boundaries with tech

(01:01:32) The singularity as a religious narrative

(01:19:53) Transhumanism and effective altruism as tech cults

(01:15:00) Defining tech agnosticism

(01:26:55) Prioritizing human connection in a tech-driven world


Additional materials: www.superdatascience.com/845</description>
      <pubDate>Tue, 17 Dec 2024 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/d1d5ff18-bbb1-11ef-a425-27242870d77b/image/5bfebfc412cf41c3a6af30cf7d2cb881.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Discover how technology has become the modern belief system shaping our world. Greg Epstein, author of Tech Agnostic: How Technology Became the World's Most Powerful Religion, and Why It Desperately Needs a Reformation, draws striking parallels between tech culture and traditional faiths. From AI's "singularity" echoing prophetic narratives to Silicon Valley’s promises of salvation through innovation, Greg uncovers the profound influence of technology on our lives. He challenges us to rethink blind faith in progress, focus on genuine human connection, and navigate a future where ethics and empathy guide innovation.</itunes:subtitle>
      <itunes:summary>Discover how technology has become the modern belief system shaping our world. Greg Epstein, author of Tech Agnostic: How Technology Became the World's Most Powerful Religion, and Why It Desperately Needs a Reformation, draws striking parallels between tech culture and traditional faiths. From AI's "singularity" echoing prophetic narratives to Silicon Valley’s promises of salvation through innovation, Greg uncovers the profound influence of technology on our lives. He challenges us to rethink blind faith in progress, focus on genuine human connection, and navigate a future where ethics and empathy guide innovation.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(08:30) How can someone cultivate connection without religion?

(15:49) Social media as a new form of community

(17:00) Tech's transformation into a religion

(56:08) How to set boundaries with tech

(01:01:32) The singularity as a religious narrative

(01:19:53) Transhumanism and effective altruism as tech cults

(01:15:00) Defining tech agnosticism

(01:26:55) Prioritizing human connection in a tech-driven world


Additional materials: www.superdatascience.com/845</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Discover how technology has become the modern belief system shaping our world. Greg Epstein, author of <em>Tech Agnostic: How Technology Became the World's Most Powerful Religion, and Why It Desperately Needs a Reformation</em>, draws striking parallels between tech culture and traditional faiths. From AI's "singularity" echoing prophetic narratives to Silicon Valley’s promises of salvation through innovation, Greg uncovers the profound influence of technology on our lives. He challenges us to rethink blind faith in progress, focus on genuine human connection, and navigate a future where ethics and empathy guide innovation.</p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p><h2><br></h2><p>In this episode you will learn:</p><ul>
<li>(08:30) How can someone cultivate connection without religion?</li>
<li>(15:49) Social media as a new form of community</li>
<li>(17:00) Tech's transformation into a religion</li>
<li>(56:08) How to set boundaries with tech</li>
<li>(01:01:32) The singularity as a religious narrative</li>
<li>(01:19:53) Transhumanism and effective altruism as tech cults</li>
<li>(01:15:00) Defining tech agnosticism</li>
<li>(01:26:55) Prioritizing human connection in a tech-driven world</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/845">www.superdatascience.com/845</a></p>]]>
      </content:encoded>
      <itunes:duration>5816</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[d1d5ff18-bbb1-11ef-a425-27242870d77b]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8591060217.mp3?updated=1734433380" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>844: In Case You Missed It in November 2024</title>
      <link>https://www.superdatascience.com/844</link>
      <description>In this episode of “In Case You Missed It”, in which we round up our favorite moments from the previous month of interviews, Jon Krohn asks his guests about the future of recruitment and job applications, the multiple pathways to a career in AI, the potential of AI in developing proteins for improved healthcare, and how “AI celebrity” doesn’t necessarily equate to “AI expert”.

Additional materials: www.superdatascience.com/844

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 13 Dec 2024 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ef3ed344-b3d3-11ef-80c4-53cc7c0c569f/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of “In Case You Missed It”, in which we round up our favorite moments from the previous month of interviews, Jon Krohn asks his guests about the future of recruitment and job applications, the multiple pathways to a career in AI, the potential of AI in developing proteins for improved healthcare, and how “AI celebrity” doesn’t necessarily equate to “AI expert”.</itunes:subtitle>
      <itunes:summary>In this episode of “In Case You Missed It”, in which we round up our favorite moments from the previous month of interviews, Jon Krohn asks his guests about the future of recruitment and job applications, the multiple pathways to a career in AI, the potential of AI in developing proteins for improved healthcare, and how “AI celebrity” doesn’t necessarily equate to “AI expert”.

Additional materials: www.superdatascience.com/844

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of “In Case You Missed It”, in which we round up our favorite moments from the previous month of interviews, Jon Krohn asks his guests about the future of recruitment and job applications, the multiple pathways to a career in AI, the potential of AI in developing proteins for improved healthcare, and how “AI celebrity” doesn’t necessarily equate to “AI expert”.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/844">www.superdatascience.com/844</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2288</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[ef3ed344-b3d3-11ef-80c4-53cc7c0c569f]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4647281573.mp3?updated=1733491151" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>843: Safe, Fast and Efficient AI, with Protopia’s Dr. Eiman Ebrahimi</title>
      <link>https://www.superdatascience.com/843</link>
      <description>What’s holding your AI projects back from success? Dr. Eiman Ebrahimi, CEO of Protopia AI and former NVIDIA scientist, takes us on a fascinating journey through the challenges of AI data security and enterprise scalability. Learn how to escape "proof of concept purgatory," unlock profitable AI solutions, and tackle the trade-offs between cost, speed, and security. Plus, discover how the philosophy of Alan Watts can inspire innovation and drive meaningful change in the world of AI.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(02:53) Protopia’s role in AI data security and privacy

(11:45) The functionality behind Stained Glass Transform

(22:20) Eiman’s journey from NVIDIA to founding Protopia

(25:37) Challenges enterprises face with ROI on AI projects

(36:40) Multi-tenancy in AI systems

(55:37) Stained Glass Transform’s privacy-preserving capabilities

(01:09:31) Emerging trends in AI

(01:14:55) Alan Watts’ philosophies and their link to entrepreneurship


Additional materials: www.superdatascience.com/843</description>
      <pubDate>Tue, 10 Dec 2024 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8b79b336-b641-11ef-952d-239f8e638a8c/image/0a6584e942e7c1785bfe739f15117e67.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What’s holding your AI projects back from success? Dr. Eiman Ebrahimi, CEO of Protopia AI and former NVIDIA scientist, takes us on a fascinating journey through the challenges of AI data security and enterprise scalability. Learn how to escape "proof of concept purgatory," unlock profitable AI solutions, and tackle the trade-offs between cost, speed, and security. Plus, discover how the philosophy of Alan Watts can inspire innovation and drive meaningful change in the world of AI.</itunes:subtitle>
      <itunes:summary>What’s holding your AI projects back from success? Dr. Eiman Ebrahimi, CEO of Protopia AI and former NVIDIA scientist, takes us on a fascinating journey through the challenges of AI data security and enterprise scalability. Learn how to escape "proof of concept purgatory," unlock profitable AI solutions, and tackle the trade-offs between cost, speed, and security. Plus, discover how the philosophy of Alan Watts can inspire innovation and drive meaningful change in the world of AI.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(02:53) Protopia’s role in AI data security and privacy

(11:45) The functionality behind Stained Glass Transform

(22:20) Eiman’s journey from NVIDIA to founding Protopia

(25:37) Challenges enterprises face with ROI on AI projects

(36:40) Multi-tenancy in AI systems

(55:37) Stained Glass Transform’s privacy-preserving capabilities

(01:09:31) Emerging trends in AI

(01:14:55) Alan Watts’ philosophies and their link to entrepreneurship


Additional materials: www.superdatascience.com/843</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What’s holding your AI projects back from success? Dr. Eiman Ebrahimi, CEO of Protopia AI and former NVIDIA scientist, takes us on a fascinating journey through the challenges of AI data security and enterprise scalability. Learn how to escape "proof of concept purgatory," unlock profitable AI solutions, and tackle the trade-offs between cost, speed, and security. Plus, discover how the philosophy of Alan Watts can inspire innovation and drive meaningful change in the world of AI.</p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(02:53) Protopia’s role in AI data security and privacy</li>
<li>(11:45) The functionality behind Stained Glass Transform</li>
<li>(22:20) Eiman’s journey from NVIDIA to founding Protopia</li>
<li>(25:37) Challenges enterprises face with ROI on AI projects</li>
<li>(36:40) Multi-tenancy in AI systems</li>
<li>(55:37) Stained Glass Transform’s privacy-preserving capabilities</li>
<li>(01:09:31) Emerging trends in AI</li>
<li>(01:14:55) Alan Watts’ philosophies and their link to entrepreneurship</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/843">www.superdatascience.com/843</a></p>]]>
      </content:encoded>
      <itunes:duration>5270</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[8b79b336-b641-11ef-952d-239f8e638a8c]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6082917847.mp3?updated=1733821574" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>842: Flexible AI Deployments Are Critical, with Chris Bennett and Joseph Balsamo</title>
      <description>In this Five-Minute Friday, Jon interviews Chris Bennett and Joseph Balsamo on the importance of flexibility in the way we deploy AI models, Dell’s brand positioning in the AI space, and whether GenAI’s business applications stand up to the hype.

Additional materials: www.superdatascience.com/842

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 06 Dec 2024 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/485b4656-b244-11ef-85e4-5394177c053b/image/e88b76be806de07f7ddc9214d85dc770.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this Five-Minute Friday, Jon interviews Chris Bennett and Joe Balsamo on the importance of flexibility in the way we deploy AI models, Dell’s brand positioning in the AI space, and whether GenAI’s business applications stand up to the hype.</itunes:subtitle>
      <itunes:summary>In this Five-Minute Friday, Jon interviews Chris Bennett and Joseph Balsamo on the importance of flexibility in the way we deploy AI models, Dell’s brand positioning in the AI space, and whether GenAI’s business applications stand up to the hype.

Additional materials: www.superdatascience.com/842

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this Five-Minute Friday, Jon interviews Chris Bennett and Joseph Balsamo on the importance of flexibility in the way we deploy AI models, Dell’s brand positioning in the AI space, and whether GenAI’s business applications stand up to the hype.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/842">www.superdatascience.com/842</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1038</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[485b4656-b244-11ef-85e4-5394177c053b]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9113660951.mp3?updated=1733319482" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>841: Andrew Ng on AI Vision, Agents and Business Value</title>
      <link>https://www.superdatascience.com/841</link>
      <description>In this special episode recorded live at ScaleUp:AI in New York, Jon Krohn speaks to Andrew Ng in response to his conference talk on smart agentic AI workflows. Jon follows up with Andrew about smart agentic workflows and when to use them, how businesses should direct their efforts in investing in AI, and the new ways that AI tools can process visual and unstructured data.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(06:13) How to weigh up cost and effectiveness in new AI workflows

(12:08) The crucial elements for building effective vision AI applications

(15:34) How large vision models might transform global industries

(18:40) How to mitigate risk in people not verifying accuracy in answers generated by agents


Additional materials: www.superdatascience.com/841</description>
      <pubDate>Tue, 03 Dec 2024 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ac20d43e-ad9f-11ef-b786-a3f72235919b/image/10deab8b1b7ceb85c6f60f09d6a5d4ab.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this special episode recorded live at ScaleUp:AI in New York, Jon Krohn speaks to Andrew Ng in response to his conference talk on smart agentic AI workflows. Jon follows up with Andrew about smart agentic workflows and when to use them, how businesses should direct their efforts in investing in AI, and the new ways that AI tools can process visual and unstructured data.</itunes:subtitle>
      <itunes:summary>In this special episode recorded live at ScaleUp:AI in New York, Jon Krohn speaks to Andrew Ng in response to his conference talk on smart agentic AI workflows. Jon follows up with Andrew about smart agentic workflows and when to use them, how businesses should direct their efforts in investing in AI, and the new ways that AI tools can process visual and unstructured data.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(06:13) How to weigh up cost and effectiveness in new AI workflows

(12:08) The crucial elements for building effective vision AI applications

(15:34) How large vision models might transform global industries

(18:40) How to mitigate risk in people not verifying accuracy in answers generated by agents


Additional materials: www.superdatascience.com/841</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this special episode recorded live at ScaleUp:AI in New York, Jon Krohn speaks to Andrew Ng in response to his conference talk on smart agentic AI workflows. Jon follows up with Andrew about smart agentic workflows and when to use them, how businesses should direct their efforts in investing in AI, and the new ways that AI tools can process visual and unstructured data.</p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(06:13) How to weigh up cost and effectiveness in new AI workflows</li>
<li>(12:08) The crucial elements for building effective vision AI applications</li>
<li>(15:34) How large vision models might transform global industries</li>
<li>(18:40) How to mitigate risk in people not verifying accuracy in answers generated by agents</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/841">www.superdatascience.com/841</a></p>]]>
      </content:encoded>
      <itunes:duration>1581</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[ac20d43e-ad9f-11ef-b786-a3f72235919b]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2661728824.mp3?updated=1732901895" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>840: Delicate Viticultural Robotics</title>
      <description>What do AI, robotics, and premium wine grapes have in common? Everything, as it turns out. In this episode, we explore viticultural robotics a revolutionary project combining machine learning, spectroscopic sensors, and VR-controlled robotics to tackle one of agriculture’s trickiest challenges: harvesting delicate wine grapes worth over $6,000 per tonne. From vineyards in the UK to cutting-edge labs, discover how these innovations could transform not just viticulture but the entire future of precision agriculture.

Additional materials: www.superdatascience.com/840

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 29 Nov 2024 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f1437776-acd5-11ef-8b36-17ac3d5225c3/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What do AI, robotics, and premium wine grapes have in common? Everything, as it turns out. In this episode, we explore viticultural robotics a revolutionary project combining machine learning, spectroscopic sensors, and VR-controlled robotics to tackle one of agriculture’s trickiest challenges: harvesting delicate wine grapes worth over $6,000 per tonne. From vineyards in the UK to cutting-edge labs, discover how these innovations could transform not just viticulture but the entire future of precision agriculture. </itunes:subtitle>
      <itunes:summary>What do AI, robotics, and premium wine grapes have in common? Everything, as it turns out. In this episode, we explore viticultural robotics a revolutionary project combining machine learning, spectroscopic sensors, and VR-controlled robotics to tackle one of agriculture’s trickiest challenges: harvesting delicate wine grapes worth over $6,000 per tonne. From vineyards in the UK to cutting-edge labs, discover how these innovations could transform not just viticulture but the entire future of precision agriculture.

Additional materials: www.superdatascience.com/840

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What do AI, robotics, and premium wine grapes have in common? Everything, as it turns out. In this episode, we explore viticultural robotics a revolutionary project combining machine learning, spectroscopic sensors, and VR-controlled robotics to tackle one of agriculture’s trickiest challenges: harvesting delicate wine grapes worth over $6,000 per tonne. From vineyards in the UK to cutting-edge labs, discover how these innovations could transform not just viticulture but the entire future of precision agriculture.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/840">www.superdatascience.com/840</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>594</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[f1437776-acd5-11ef-8b36-17ac3d5225c3]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1842461663.mp3?updated=1732722335" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>839: Double Your Data Salary in 11 Months, with Jess Ramos</title>
      <link>https://www.superdatascience.com/839</link>
      <description>Jess Ramos is redefining success in data analytics. As the Founder of Big Data Energy and a Senior Data Analyst at Crunchbase, she’s mastered the art of salary negotiation, built a massive social media following, and turned her passion for data into a thriving personal brand. She reveals how she doubled her salary in under a year, created her own SQL course, and advocates for women in STEM.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(03:42) How Jess got her start in data analytics

(09:14) Why SQL is the most critical skill for data professionals

(11:46) How Jess more than doubled her salary in less than a year

(20:16) Tips for transitioning from a data job to creating your own business

(31:20) The various routes to a career in data science

(39:13) How Jess challenges STEM stereotypes


Additional materials: www.superdatascience.com/839</description>
      <pubDate>Tue, 26 Nov 2024 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/95626dce-a977-11ef-aac1-57cdcdece6c9/image/2b6ea802a0364576ed1c747c0a5a3512.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jess Ramos is redefining success in data analytics. As the Founder of Big Data Energy and a Senior Data Analyst at Crunchbase, she’s mastered the art of salary negotiation, built a massive social media following, and turned her passion for data into a thriving personal brand. She reveals how she doubled her salary in under a year, created her own SQL course, and advocates for women in STEM.</itunes:subtitle>
      <itunes:summary>Jess Ramos is redefining success in data analytics. As the Founder of Big Data Energy and a Senior Data Analyst at Crunchbase, she’s mastered the art of salary negotiation, built a massive social media following, and turned her passion for data into a thriving personal brand. She reveals how she doubled her salary in under a year, created her own SQL course, and advocates for women in STEM.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(03:42) How Jess got her start in data analytics

(09:14) Why SQL is the most critical skill for data professionals

(11:46) How Jess more than doubled her salary in less than a year

(20:16) Tips for transitioning from a data job to creating your own business

(31:20) The various routes to a career in data science

(39:13) How Jess challenges STEM stereotypes


Additional materials: www.superdatascience.com/839</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jess Ramos is redefining success in data analytics. As the Founder of Big Data Energy and a Senior Data Analyst at Crunchbase, she’s mastered the art of salary negotiation, built a massive social media following, and turned her passion for data into a thriving personal brand. She reveals how she doubled her salary in under a year, created her own SQL course, and advocates for women in STEM.</p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(03:42) How Jess got her start in data analytics</li>
<li>(09:14) Why SQL is the most critical skill for data professionals</li>
<li>(11:46) How Jess more than doubled her salary in less than a year</li>
<li>(20:16) Tips for transitioning from a data job to creating your own business</li>
<li>(31:20) The various routes to a career in data science</li>
<li>(39:13) How Jess challenges STEM stereotypes</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/839">www.superdatascience.com/839</a></p>]]>
      </content:encoded>
      <itunes:duration>3598</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[95626dce-a977-11ef-aac1-57cdcdece6c9]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2590693556.mp3?updated=1732519074" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>838: Consciousness and Machines, with Jennifer K. Hill</title>
      <link>https://www.superdatascience.com/838</link>
      <description>Jon Krohn heads to Lisbon for an interview hosted by Bella Shing, Chapter Lead for Light Dao. He shares the stage with Regarding Consciousness podcast host, Jennifer Hill, where the three discuss AI philosophy and consciousness.

Additional materials: www.superdatascience.com/838

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 22 Nov 2024 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/55a75376-a755-11ef-be5c-0f998c15e7dd/image/5415583b639a4417cf2af7ab5536fb26.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn heads to Lisbon for an interview hosted by Bella Shing, Chapter Lead for Light Dao. He shares the stage with Regarding Consciousness podcast host, Jennifer Hill, where the three discuss AI philosophy and consciousness.</itunes:subtitle>
      <itunes:summary>Jon Krohn heads to Lisbon for an interview hosted by Bella Shing, Chapter Lead for Light Dao. He shares the stage with Regarding Consciousness podcast host, Jennifer Hill, where the three discuss AI philosophy and consciousness.

Additional materials: www.superdatascience.com/838

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn heads to Lisbon for an interview hosted by Bella Shing, Chapter Lead for Light Dao. He shares the stage with <em>Regarding Consciousness </em>podcast<em> </em>host, Jennifer Hill, where the three discuss AI philosophy and consciousness.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/838">www.superdatascience.com/838</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2646</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[55a75376-a755-11ef-be5c-0f998c15e7dd]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1218315286.mp3?updated=1732117343" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>837: Career Success in the AI Era, with Deepali Vyas</title>
      <link>https://www.superdatascience.com/837</link>
      <description>Deepali Vyas, Global Head of Applied Intelligence (Data Science &amp; AI) and FinTech at Korn Ferry, talks to Jon Krohn about the best ways for data science and AI professionals to get seen and hired. Hear why video, not text, is the future of recruitment, how to get over camera shyness, and how to make a winning impression on job recruiters.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(09:49) On using GenAI to get hired

(27:44) The future of video in recruitment

(40:36) Tips for the camera-shy

(44:15) How Fearless+ started

(54:51) How AI helps organizations to ensure equity

(57:43) Green-flag behaviors at work


Additional materials: www.superdatascience.com/837</description>
      <pubDate>Tue, 19 Nov 2024 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6ff00904-a65f-11ef-90d5-53de4d6fb802/image/f2bde03da5ffd8f47a88cb9ecb09f676.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Deepali Vyas, Global Head of Applied Intelligence (Data Science &amp; AI) and FinTech at Korn Ferry, talks to Jon Krohn about the best ways for data science and AI professionals to get seen and hired. Hear why video, not text, is the future of recruitment, how to get over camera shyness, and how to make a winning impression on job recruiters. </itunes:subtitle>
      <itunes:summary>Deepali Vyas, Global Head of Applied Intelligence (Data Science &amp; AI) and FinTech at Korn Ferry, talks to Jon Krohn about the best ways for data science and AI professionals to get seen and hired. Hear why video, not text, is the future of recruitment, how to get over camera shyness, and how to make a winning impression on job recruiters.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(09:49) On using GenAI to get hired

(27:44) The future of video in recruitment

(40:36) Tips for the camera-shy

(44:15) How Fearless+ started

(54:51) How AI helps organizations to ensure equity

(57:43) Green-flag behaviors at work


Additional materials: www.superdatascience.com/837</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Deepali Vyas, Global Head of Applied Intelligence (Data Science &amp; AI) and FinTech at Korn Ferry, talks to Jon Krohn about the best ways for data science and AI professionals to get seen and hired. Hear why video, not text, is the future of recruitment, how to get over camera shyness, and how to make a winning impression on job recruiters.</p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(09:49) On using GenAI to get hired</li>
<li>(27:44) The future of video in recruitment</li>
<li>(40:36) Tips for the camera-shy</li>
<li>(44:15) How Fearless+ started</li>
<li>(54:51) How AI helps organizations to ensure equity</li>
<li>(57:43) Green-flag behaviors at work</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/837">www.superdatascience.com/837</a></p>]]>
      </content:encoded>
      <itunes:duration>4226</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[6ff00904-a65f-11ef-90d5-53de4d6fb802]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7565063952.mp3?updated=1732041186" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>836: How to Become Happier, with Dr. Nat Ware</title>
      <description>Economist and social-impact innovator Dr. Nat Ware reveals how our expectations shape happiness and why chasing it often leaves us unfulfilled. He shares insights on the “hedonic treadmill” and the effects of constant comparison on our well-being. Find out how to build a more meaningful life by making memories, taking chances, and focusing on genuine connections.

Additional materials: www.superdatascience.com/836

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 15 Nov 2024 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f46f9bf2-a2ba-11ef-8e0a-23ab7c5b2ae7/image/70d0b691f7731b32537b6868a4c9656c.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Economist and social-impact innovator Dr. Nat Ware reveals how our expectations shape happiness and why chasing it often leaves us unfulfilled. He shares insights on the “hedonic treadmill” and the effects of constant comparison on our well-being. Find out how to build a more meaningful life by making memories, taking chances, and focusing on genuine connections.</itunes:subtitle>
      <itunes:summary>Economist and social-impact innovator Dr. Nat Ware reveals how our expectations shape happiness and why chasing it often leaves us unfulfilled. He shares insights on the “hedonic treadmill” and the effects of constant comparison on our well-being. Find out how to build a more meaningful life by making memories, taking chances, and focusing on genuine connections.

Additional materials: www.superdatascience.com/836

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Economist and social-impact innovator Dr. Nat Ware reveals how our expectations shape happiness and why chasing it often leaves us unfulfilled. He shares insights on the “hedonic treadmill” and the effects of constant comparison on our well-being. Find out how to build a more meaningful life by making memories, taking chances, and focusing on genuine connections.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/836">www.superdatascience.com/836</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1882</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[f46f9bf2-a2ba-11ef-8e0a-23ab7c5b2ae7]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5181897663.mp3?updated=1731611233" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>835: AI Systems as Productivity Engines, with You.com’s Bryan McCann</title>
      <link>https://www.superdatascience.com/835</link>
      <description>AI systems are evolving rapidly, and in this episode, Bryan McCann, CTO of You.com, explains You.com’s unique approach to search, the impact of AI-driven research, and the game-changing potential of AI agents. With a background in natural language processing and philosophy, Bryan joins Jon Krohn to share a fresh perspective on where AI is headed and what it means for the future of work and scientific discovery.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(03:55) How You.com’s “do engine” approach connects users to multiple language models

(11:34) How AI systems at You.com generate optimized, intent-driven queries for better results

(28:39) You.com’s focus on automated workflows sets it apart from other platforms

(31:31) AI agents in You.com, with Bryan predicting they’ll outnumber people by 2025

(41:49) Bryan’s path to unified AI models that can perform diverse tasks

(50:40) Early experiments with alignment in AI that influenced modern transformers

(01:04:45) Bryan’s research on controllable text generation

(01:11:27) Language models applied to protein generation, linking text and biology sequences


Additional materials: www.superdatascience.com/835</description>
      <pubDate>Tue, 12 Nov 2024 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8b4dbfe0-a0db-11ef-a7d6-47ff3e785be4/image/4eb9b2b97179a5e9b97c60ceb80bc7b9.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>AI systems are evolving rapidly, and in this episode, Bryan McCann, CTO of You.com, explains You.com’s unique approach to search, the impact of AI-driven research, and the game-changing potential of AI agents. With a background in natural language processing and philosophy, Bryan joins Jon Krohn to share a fresh perspective on where AI is headed and what it means for the future of work and scientific discovery.</itunes:subtitle>
      <itunes:summary>AI systems are evolving rapidly, and in this episode, Bryan McCann, CTO of You.com, explains You.com’s unique approach to search, the impact of AI-driven research, and the game-changing potential of AI agents. With a background in natural language processing and philosophy, Bryan joins Jon Krohn to share a fresh perspective on where AI is headed and what it means for the future of work and scientific discovery.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(03:55) How You.com’s “do engine” approach connects users to multiple language models

(11:34) How AI systems at You.com generate optimized, intent-driven queries for better results

(28:39) You.com’s focus on automated workflows sets it apart from other platforms

(31:31) AI agents in You.com, with Bryan predicting they’ll outnumber people by 2025

(41:49) Bryan’s path to unified AI models that can perform diverse tasks

(50:40) Early experiments with alignment in AI that influenced modern transformers

(01:04:45) Bryan’s research on controllable text generation

(01:11:27) Language models applied to protein generation, linking text and biology sequences


Additional materials: www.superdatascience.com/835</itunes:summary>
      <content:encoded>
        <![CDATA[<p>AI systems are evolving rapidly, and in this episode, Bryan McCann, CTO of You.com, explains You.com’s unique approach to search, the impact of AI-driven research, and the game-changing potential of AI agents. With a background in natural language processing and philosophy, Bryan joins Jon Krohn to share a fresh perspective on where AI is headed and what it means for the future of work and scientific discovery.</p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(03:55) How You.com’s “do engine” approach connects users to multiple language models</li>
<li>(11:34) How AI systems at You.com generate optimized, intent-driven queries for better results</li>
<li>(28:39) You.com’s focus on automated workflows sets it apart from other platforms</li>
<li>(31:31) AI agents in You.com, with Bryan predicting they’ll outnumber people by 2025</li>
<li>(41:49) Bryan’s path to unified AI models that can perform diverse tasks</li>
<li>(50:40) Early experiments with alignment in AI that influenced modern transformers</li>
<li>(01:04:45) Bryan’s research on controllable text generation</li>
<li>(01:11:27) Language models applied to protein generation, linking text and biology sequences</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/835">www.superdatascience.com/835</a></p>]]>
      </content:encoded>
      <itunes:duration>5584</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>834: In Case You Missed It in October 2024</title>
      <link>https://www.superdatascience.com/834</link>
      <description>Jon Krohn starts the month with his round-up of favorite clips from the previous month. Hear from Bradley Voytek, Natalie Monbiot, Luca Antiga, Chad Sanderson, and Ritchie Vink in conversations about the ongoing potential of AI.  

Additional materials: www.superdatascience.com/834

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 08 Nov 2024 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8a312e74-9d18-11ef-a9ed-cfe5524dc44c/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn starts the month with his round-up of favorite clips from the previous month. Hear from Bradley Voytek, Natalie Monbiot, Luca Antiga, Chad Sanderson, and Ritchie Vink in conversations about the ongoing potential of AI.  </itunes:subtitle>
      <itunes:summary>Jon Krohn starts the month with his round-up of favorite clips from the previous month. Hear from Bradley Voytek, Natalie Monbiot, Luca Antiga, Chad Sanderson, and Ritchie Vink in conversations about the ongoing potential of AI.  

Additional materials: www.superdatascience.com/834

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn starts the month with his round-up of favorite clips from the previous month. Hear from Bradley Voytek, Natalie Monbiot, Luca Antiga, Chad Sanderson, and Ritchie Vink in conversations about the ongoing potential of AI.  </p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/834">www.superdatascience.com/834</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2699</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[8a312e74-9d18-11ef-a9ed-cfe5524dc44c]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5745482096.mp3?updated=1730991720" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>833: The 10 Reasons AI Projects Fail, with Dr. Martin Goodson</title>
      <link>https://www.superdatascience.com/833</link>
      <description>Martin Goodson speaks to Jon Krohn about what he would add to his viral article “Ten Ways Your Data Project is Going to Fail”, why practitioners always need to be present at AI policy discussions, and Evolution AI’s breakthroughs in computer vision and NLP.

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(04:25) What Evolution AI does 

(11:41) How to maintain accuracy in large infrastructures

(21:22) How to cultivate innovation and creativity while meeting market demands

(24:27) Potential knowledge gaps for machine learning practitioners

(30:57) Martin’s viral article, “Ten Ways Your Data Project is Going to Fail”

(59:54) Strategies for the UK to become a key player in AI


Additional materials: www.superdatascience.com/833</description>
      <pubDate>Tue, 05 Nov 2024 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/855363e6-9ad3-11ef-b2da-b3184cf5d6f1/image/6ad2f18b69757628ce0221d84bf3e968.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Martin Goodson speaks to Jon Krohn about what he would add to his viral article “Ten Ways Your Data Project is Going to Fail”, why practitioners always need to be present at AI policy discussions, and Evolution AI’s breakthroughs in computer vision and NLP.</itunes:subtitle>
      <itunes:summary>Martin Goodson speaks to Jon Krohn about what he would add to his viral article “Ten Ways Your Data Project is Going to Fail”, why practitioners always need to be present at AI policy discussions, and Evolution AI’s breakthroughs in computer vision and NLP.

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

(04:25) What Evolution AI does 

(11:41) How to maintain accuracy in large infrastructures

(21:22) How to cultivate innovation and creativity while meeting market demands

(24:27) Potential knowledge gaps for machine learning practitioners

(30:57) Martin’s viral article, “Ten Ways Your Data Project is Going to Fail”

(59:54) Strategies for the UK to become a key player in AI


Additional materials: www.superdatascience.com/833</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Martin Goodson speaks to Jon Krohn about what he would add to his viral article “Ten Ways Your Data Project is Going to Fail”, why practitioners always need to be present at AI policy discussions, and Evolution AI’s breakthroughs in computer vision and NLP.</p><p><br></p><p>This episode is brought to you by epic LinkedIn Learning instructor <a href="https://www.linkedin.com/learning/instructors/keith-mccormick">Keith McCormick</a>. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>(04:25) What Evolution AI does </li>
<li>(11:41) How to maintain accuracy in large infrastructures</li>
<li>(21:22) How to cultivate innovation and creativity while meeting market demands</li>
<li>(24:27) Potential knowledge gaps for machine learning practitioners</li>
<li>(30:57) Martin’s viral article, “Ten Ways Your Data Project is Going to Fail”</li>
<li>(59:54) Strategies for the UK to become a key player in AI</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/833">www.superdatascience.com/833</a></p>]]>
      </content:encoded>
      <itunes:duration>5125</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[855363e6-9ad3-11ef-b2da-b3184cf5d6f1]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8086076069.mp3?updated=1731257524" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>832: The Anthropic CEO’s Techno-Utopia</title>
      <link>https://www.superdatascience.com/832</link>
      <description>Host Jon Krohn unpacks Dario Amodei’s vision of a techno-utopia in his essay Machines of Loving Grace, where “Powerful AI” takes center stage. Amodei, CEO of Anthropic, imagines a future where AI doesn’t just assist but actively shapes fields like healthcare, economics, and governance with unmatched intelligence and autonomy. Jon explores the possibilities and challenges of this AI-driven future, asking how close we are to seeing these revolutionary shifts and what they mean for society.

Additional materials: www.superdatascience.com/832

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 01 Nov 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/705520a6-9777-11ef-9914-4bfdbf6119ab/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Host Jon Krohn unpacks Dario Amodei’s vision of a techno-utopia in his essay Machines of Loving Grace, where “Powerful AI” takes center stage. Amodei, CEO of Anthropic, imagines a future where AI doesn’t just assist but actively shapes fields like healthcare, economics, and governance with unmatched intelligence and autonomy. Jon explores the possibilities and challenges of this AI-driven future, asking how close we are to seeing these revolutionary shifts and what they mean for society.</itunes:subtitle>
      <itunes:summary>Host Jon Krohn unpacks Dario Amodei’s vision of a techno-utopia in his essay Machines of Loving Grace, where “Powerful AI” takes center stage. Amodei, CEO of Anthropic, imagines a future where AI doesn’t just assist but actively shapes fields like healthcare, economics, and governance with unmatched intelligence and autonomy. Jon explores the possibilities and challenges of this AI-driven future, asking how close we are to seeing these revolutionary shifts and what they mean for society.

Additional materials: www.superdatascience.com/832

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Host Jon Krohn unpacks Dario Amodei’s vision of a techno-utopia in his essay <em>Machines of Loving Grace,</em> where “Powerful AI” takes center stage. Amodei, CEO of Anthropic, imagines a future where AI doesn’t just assist but actively shapes fields like healthcare, economics, and governance with unmatched intelligence and autonomy. Jon explores the possibilities and challenges of this AI-driven future, asking how close we are to seeing these revolutionary shifts and what they mean for society.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/832">www.superdatascience.com/832</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>523</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[705520a6-9777-11ef-9914-4bfdbf6119ab]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2706414881.mp3?updated=1730372772" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>831: PyTorch Lightning, Lit-Serve and Lightning Studios, with Dr. Luca Antiga</title>
      <link>https://www.superdatascience.com/831</link>
      <description>PyTorch Lightning is revolutionizing the AI landscape, and Dr. Luca Antiga, CTO of Lightning AI, joins host Jon Krohn to explain how. In this episode, they explore the tools pushing AI development forward, from Lightning Studios to Lit-Serve, and discuss the game-changing rise of small language models that challenge industry giants with precision and speed. Luca also shares his vision for developers in an AI-enhanced world, where coding meets creativity and collaboration with intelligent tools.

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

How Lightning AI's open-source tools make AI development faster [11:30]

The rise of small language models and how they'll rival LLMs [37:47]

Luca's journey from biomedical imaging to deep learning pioneer [52:03]

How AI will transform software developer tasks [1:03:05]


Additional materials: www.superdatascience.com/831</description>
      <pubDate>Tue, 29 Oct 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9c853278-95cf-11ef-8183-138662336e05/image/2cc27dfd0d440e8eec26b142b0a1220e.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>PyTorch Lightning is revolutionizing the AI landscape, and Dr. Luca Antiga, CTO of Lightning AI, joins host Jon Krohn to explain how. In this episode, they explore the tools pushing AI development forward, from Lightning Studios to Lit-Serve, and discuss the game-changing rise of small language models that challenge industry giants with precision and speed. Luca also shares his vision for developers in an AI-enhanced world, where coding meets creativity and collaboration with intelligent tools.</itunes:subtitle>
      <itunes:summary>PyTorch Lightning is revolutionizing the AI landscape, and Dr. Luca Antiga, CTO of Lightning AI, joins host Jon Krohn to explain how. In this episode, they explore the tools pushing AI development forward, from Lightning Studios to Lit-Serve, and discuss the game-changing rise of small language models that challenge industry giants with precision and speed. Luca also shares his vision for developers in an AI-enhanced world, where coding meets creativity and collaboration with intelligent tools.

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

How Lightning AI's open-source tools make AI development faster [11:30]

The rise of small language models and how they'll rival LLMs [37:47]

Luca's journey from biomedical imaging to deep learning pioneer [52:03]

How AI will transform software developer tasks [1:03:05]


Additional materials: www.superdatascience.com/831</itunes:summary>
      <content:encoded>
        <![CDATA[<p>PyTorch Lightning is revolutionizing the AI landscape, and Dr. Luca Antiga, CTO of Lightning AI, joins host Jon Krohn to explain how. In this episode, they explore the tools pushing AI development forward, from Lightning Studios to Lit-Serve, and discuss the game-changing rise of small language models that challenge industry giants with precision and speed. Luca also shares his vision for developers in an AI-enhanced world, where coding meets creativity and collaboration with intelligent tools.</p><p><br></p><p>This episode is brought to you by epic LinkedIn Learning instructor <a href="https://www.linkedin.com/learning/instructors/keith-mccormick">Keith McCormick</a>, and by <a href="https://odsc.com/boston">ODSC</a>, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>How Lightning AI's open-source tools make AI development faster [11:30]</li>
<li>The rise of small language models and how they'll rival LLMs [37:47]</li>
<li>Luca's journey from biomedical imaging to deep learning pioneer [52:03]</li>
<li>How AI will transform software developer tasks [1:03:05]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/831">www.superdatascience.com/831</a></p>]]>
      </content:encoded>
      <itunes:duration>5003</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[9c853278-95cf-11ef-8183-138662336e05]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2392154794.mp3?updated=1735299268" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>830: The “A.I.” Nobel Prizes (in Physics and Chemistry??)</title>
      <link>https://www.superdatascience.com/830</link>
      <description>Geoffrey Hinton and Sir Demis Hassabis: The Nobel Prize committee is an achievement of the highest order, awarding physicists, chemists, physiologists, medical practitioners, writers, pacifists and economists perhaps the greatest honor in their respective fields. In this week’s Five-Minute Friday, Jon Krohn discusses how two AI pioneers came to win prizes in chemistry and physics.

Additional materials: www.superdatascience.com/830

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 25 Oct 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a50f2fb4-91e4-11ef-a363-b38a6e0c6dbb/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Geoffrey Hinton and Sir Demis Hassabis: The Nobel Prize committee is an achievement of the highest order, awarding physicists, chemists, physiologists, medical practitioners, writers, pacifists and economists perhaps the greatest honor in their respective fields. In this week’s Five-Minute Friday, Jon Krohn discusses how two AI pioneers came to win prizes in chemistry and physics. </itunes:subtitle>
      <itunes:summary>Geoffrey Hinton and Sir Demis Hassabis: The Nobel Prize committee is an achievement of the highest order, awarding physicists, chemists, physiologists, medical practitioners, writers, pacifists and economists perhaps the greatest honor in their respective fields. In this week’s Five-Minute Friday, Jon Krohn discusses how two AI pioneers came to win prizes in chemistry and physics.

Additional materials: www.superdatascience.com/830

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Geoffrey Hinton and Sir Demis Hassabis: The Nobel Prize committee is an achievement of the highest order, awarding physicists, chemists, physiologists, medical practitioners, writers, pacifists and economists perhaps the greatest honor in their respective fields. In this week’s Five-Minute Friday, Jon Krohn discusses how two AI pioneers came to win prizes in chemistry and physics.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/830">www.superdatascience.com/830</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>643</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[a50f2fb4-91e4-11ef-a363-b38a6e0c6dbb]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1986538397.mp3?updated=1729791938" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>829: Neuroscience Fueled by ML, with Prof. Bradley Voytek</title>
      <description>Neuroscientist Bradley Voytek outlines to Jon Krohn the incredible use of data science and machine learning in his research and how recent discoveries in action potentials and neurons have completely skyrocketed the field to a new understanding of the brain and its functions. You’ll also hear what Bradley thinks is most important when hiring data scientists and his contributions to Uber’s algorithm when it was still a startup. 

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

Breakthroughs in brain region communication [04:08]

The future of brain research and MedTech [35:24]

The libraries and software used at the Halicioglu Data Science Institute [45:11]

Brain rhythm as a diagnostic tool [1:02:58]

Bradley’s curriculum structure at UC San Diego [1:12:21]

How Uber applies data science [1:20:07]


Additional materials: www.superdatascience.com/829</description>
      <pubDate>Tue, 22 Oct 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/37002190-9054-11ef-89c1-e7fb939eca12/image/8691ae32780d2bce7740b9a9620c240c.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Neuroscientist Bradley Voytek outlines to Jon Krohn the incredible use of data science and machine learning in his research and how recent discoveries in action potentials and neurons have completely skyrocketed the field to a new understanding of the brain and its functions. You’ll also hear what Bradley thinks is most important when hiring data scientists and his contributions to Uber’s algorithm when it was still a startup. </itunes:subtitle>
      <itunes:summary>Neuroscientist Bradley Voytek outlines to Jon Krohn the incredible use of data science and machine learning in his research and how recent discoveries in action potentials and neurons have completely skyrocketed the field to a new understanding of the brain and its functions. You’ll also hear what Bradley thinks is most important when hiring data scientists and his contributions to Uber’s algorithm when it was still a startup. 

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

Breakthroughs in brain region communication [04:08]

The future of brain research and MedTech [35:24]

The libraries and software used at the Halicioglu Data Science Institute [45:11]

Brain rhythm as a diagnostic tool [1:02:58]

Bradley’s curriculum structure at UC San Diego [1:12:21]

How Uber applies data science [1:20:07]


Additional materials: www.superdatascience.com/829</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Neuroscientist Bradley Voytek outlines to Jon Krohn the incredible use of data science and machine learning in his research and how recent discoveries in action potentials and neurons have completely skyrocketed the field to a new understanding of the brain and its functions. You’ll also hear what Bradley thinks is most important when hiring data scientists and his contributions to Uber’s algorithm when it was still a startup. </p><p><br></p><p>This episode is brought to you by epic LinkedIn Learning instructor <a href="https://www.linkedin.com/learning/instructors/keith-mccormick">Keith McCormick</a>, and by <a href="https://www.gurobi.com/personas/optimization-for-data-scientists">Gurobi</a>, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Breakthroughs in brain region communication [04:08]</li>
<li>The future of brain research and MedTech [35:24]</li>
<li>The libraries and software used at the Halicioglu Data Science Institute [45:11]</li>
<li>Brain rhythm as a diagnostic tool [1:02:58]</li>
<li>Bradley’s curriculum structure at UC San Diego [1:12:21]</li>
<li>How Uber applies data science [1:20:07]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/829">www.superdatascience.com/829</a></p>]]>
      </content:encoded>
      <itunes:duration>5818</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>828: Are “Citizen Data Scientists” A Myth? With Keith McCormick</title>
      <description>The citizen data scientist: Fact or fiction? Jon Krohn holds a conversation across episodes in this Five-Minute Friday, with today’s guest Keith McCormick, in part responding to Nick Elprin’s interview in episode 811: Scaling Data Teams Effectively.

Additional materials: www.superdatascience.com/828

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 18 Oct 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a4500352-8c65-11ef-b778-0ba6117c25e2/image/1ee09198014777c43962201b6c7c482c.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>The citizen data scientist: Fact or fiction? Jon Krohn holds a conversation across episodes in this Five-Minute Friday, with today’s guest Keith McCormick, in part responding to Nick Elprin’s interview in episode 811: Scaling Data Teams Effectively.</itunes:subtitle>
      <itunes:summary>The citizen data scientist: Fact or fiction? Jon Krohn holds a conversation across episodes in this Five-Minute Friday, with today’s guest Keith McCormick, in part responding to Nick Elprin’s interview in episode 811: Scaling Data Teams Effectively.

Additional materials: www.superdatascience.com/828

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>The citizen data scientist: Fact or fiction? Jon Krohn holds a conversation across episodes in this Five-Minute Friday, with today’s guest Keith McCormick, in part responding to Nick Elprin’s interview in episode 811: Scaling Data Teams Effectively.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/828">www.superdatascience.com/828</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1188</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>827: Polars: Past, Present and Future, with Polars Creator Ritchie Vink</title>
      <description>Ritchie Vink, CEO and Co-Founder of Polars, Inc., speaks to Jon Krohn about the new achievements of Polars, an open-source library for data manipulation. This is the episode for any data scientist on the fence about using Polars, as it explains how Polars managed to make such improvements, the APIs and integration libraries that make it so versatile, and what’s next for this efficient library.

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick, by Gurobi, the Decision Intelligence Leader, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

Why Polars is so efficient [05:20]

Polars’ easy integration with other data-processing tools [21:23]

Eager vs lazy executive in Polars [32:15]

Polars’ data processing of large- and small-scale datasets [38:28]

Ritchie’s plans to scale his company [46:14]

Upcoming features in Polars [58:06]


Additional materials: www.superdatascience.com/827</description>
      <pubDate>Tue, 15 Oct 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b2d558b2-8ac3-11ef-a22c-e3e17c82f22c/image/5aac1097201db33f401e402146526519.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Ritchie Vink, CEO and Co-Founder of Polars, Inc., speaks to Jon Krohn about the new achievements of Polars, an open-source library for data manipulation. This is the episode for any data scientist on the fence about using Polars, as it explains how Polars managed to make such improvements, the APIs and integration libraries that make it so versatile, and what’s next for this efficient library.</itunes:subtitle>
      <itunes:summary>Ritchie Vink, CEO and Co-Founder of Polars, Inc., speaks to Jon Krohn about the new achievements of Polars, an open-source library for data manipulation. This is the episode for any data scientist on the fence about using Polars, as it explains how Polars managed to make such improvements, the APIs and integration libraries that make it so versatile, and what’s next for this efficient library.

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick, by Gurobi, the Decision Intelligence Leader, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

Why Polars is so efficient [05:20]

Polars’ easy integration with other data-processing tools [21:23]

Eager vs lazy executive in Polars [32:15]

Polars’ data processing of large- and small-scale datasets [38:28]

Ritchie’s plans to scale his company [46:14]

Upcoming features in Polars [58:06]


Additional materials: www.superdatascience.com/827</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Ritchie Vink, CEO and Co-Founder of Polars, Inc., speaks to Jon Krohn about the new achievements of Polars, an open-source library for data manipulation. This is the episode for any data scientist on the fence about using Polars, as it explains how Polars managed to make such improvements, the APIs and integration libraries that make it so versatile, and what’s next for this efficient library.</p><p><br></p><p>This episode is brought to you by epic LinkedIn Learning instructor <a href="https://www.linkedin.com/learning/instructors/keith-mccormick">Keith McCormick</a>, by <a href="https://www.gurobi.com/personas/optimization-for-data-scientists">Gurobi</a>, the Decision Intelligence Leader, and by <a href="https://odsc.com/california/">ODSC</a>, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Why Polars is so efficient [05:20]</li>
<li>Polars’ easy integration with other data-processing tools [21:23]</li>
<li>Eager vs lazy executive in Polars [32:15]</li>
<li>Polars’ data processing of large- and small-scale datasets [38:28]</li>
<li>Ritchie’s plans to scale his company [46:14]</li>
<li>Upcoming features in Polars [58:06]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/827">www.superdatascience.com/827</a></p>]]>
      </content:encoded>
      <itunes:duration>4421</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>826: In Case You Missed It in September 2024</title>
      <description>Next-gen IDEs, efficiency-boosting open-source Python libraries, and changes in hiring for data scientists: This episode of In Case You Missed It gives you our best clips of September’s interviews, hosted by Jon Krohn.

Additional materials: www.superdatascience.com/826

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 11 Oct 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/604a8ea2-87ab-11ef-bfa1-27463bb73458/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Next-gen IDEs, efficiency-boosting open-source Python libraries, and changes in hiring for data scientists: This episode of In Case You Missed It gives you our best clips of September’s interviews, hosted by Jon Krohn.</itunes:subtitle>
      <itunes:summary>Next-gen IDEs, efficiency-boosting open-source Python libraries, and changes in hiring for data scientists: This episode of In Case You Missed It gives you our best clips of September’s interviews, hosted by Jon Krohn.

Additional materials: www.superdatascience.com/826

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Next-gen IDEs, efficiency-boosting open-source Python libraries, and changes in hiring for data scientists: This episode of In Case You Missed It gives you our best clips of September’s interviews, hosted by Jon Krohn.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/826">www.superdatascience.com/826</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2490</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[604a8ea2-87ab-11ef-bfa1-27463bb73458]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8255669501.mp3?updated=1728636496" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>825: Data Contracts: The Key to Data Quality, with Chad Sanderson</title>
      <description>Data contracts are redefining data quality and governance, and Chad Sanderson, CEO of Gable.ai, joins host Jon Krohn to explain how they can transform your data strategy. He breaks down what data contracts are, how they shift data quality checks closer to production, and why they’re essential for reducing data debt. Chad also highlights how better alignment between data producers and consumers can elevate data reliability and tackle change-management challenges in modern organizations.

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

What data contracts are and how they define expectations for data quality [03:16]

What data contracts look like [09:09]

The common misconceptions about data quality when implementing AI [12:55]

Chad’s Chief Operator role at Data Quality Camp [19:46]

How “shifting left” improves data reliability by addressing issues early [24:17]

Why data professionals still struggle with data quality [30:31]

How data debt forms and why it leads to complex, inefficient architectures [35:53]

How will the role of human oversight evolve in ensuring data quality? [47:12]

How can data teams leverage storytelling? [52:33]


Additional materials: www.superdatascience.com/825</description>
      <pubDate>Tue, 08 Oct 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c3a5a016-8546-11ef-bfee-2fb003f419af/image/347227e09755086ddac6a2fc329be002.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Data contracts are redefining data quality and governance, and Chad Sanderson, CEO of Gable.ai, joins host Jon Krohn to explain how they can transform your data strategy. He breaks down what data contracts are, how they shift data quality checks closer to production, and why they’re essential for reducing data debt. Chad also highlights how better alignment between data producers and consumers can elevate data reliability and tackle change-management challenges in modern organizations.</itunes:subtitle>
      <itunes:summary>Data contracts are redefining data quality and governance, and Chad Sanderson, CEO of Gable.ai, joins host Jon Krohn to explain how they can transform your data strategy. He breaks down what data contracts are, how they shift data quality checks closer to production, and why they’re essential for reducing data debt. Chad also highlights how better alignment between data producers and consumers can elevate data reliability and tackle change-management challenges in modern organizations.

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

What data contracts are and how they define expectations for data quality [03:16]

What data contracts look like [09:09]

The common misconceptions about data quality when implementing AI [12:55]

Chad’s Chief Operator role at Data Quality Camp [19:46]

How “shifting left” improves data reliability by addressing issues early [24:17]

Why data professionals still struggle with data quality [30:31]

How data debt forms and why it leads to complex, inefficient architectures [35:53]

How will the role of human oversight evolve in ensuring data quality? [47:12]

How can data teams leverage storytelling? [52:33]


Additional materials: www.superdatascience.com/825</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Data contracts are redefining data quality and governance, and Chad Sanderson, CEO of Gable.ai, joins host Jon Krohn to explain how they can transform your data strategy. He breaks down what data contracts are, how they shift data quality checks closer to production, and why they’re essential for reducing data debt. Chad also highlights how better alignment between data producers and consumers can elevate data reliability and tackle change-management challenges in modern organizations.</p><p><br></p><p>This episode is brought to you by epic LinkedIn Learning instructor <a href="https://www.linkedin.com/learning/instructors/keith-mccormick">Keith McCormick</a>, and by <a href="https://www.gurobi.com/personas/optimization-for-data-scientists">Gurobi</a>, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What data contracts are and how they define expectations for data quality [03:16]</li>
<li>What data contracts look like [09:09]</li>
<li>The common misconceptions about data quality when implementing AI [12:55]</li>
<li>Chad’s Chief Operator role at Data Quality Camp [19:46]</li>
<li>How “shifting left” improves data reliability by addressing issues early [24:17]</li>
<li>Why data professionals still struggle with data quality [30:31]</li>
<li>How data debt forms and why it leads to complex, inefficient architectures [35:53]</li>
<li>How will the role of human oversight evolve in ensuring data quality? [47:12]</li>
<li>How can data teams leverage storytelling? [52:33]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/825">www.superdatascience.com/825</a></p>]]>
      </content:encoded>
      <itunes:duration>3742</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[c3a5a016-8546-11ef-bfee-2fb003f419af]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3509456033.mp3?updated=1735298947" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>824: Llama 3.2: Open-Source Edge and Multimodal LLMs</title>
      <description>Llama 3.2 brings a new era of AI innovation with lightweight models tailored for on-device applications and powerful vision models for handling complex image inputs. Host Jon Krohn explores how this release pushes the boundaries of open-source AI, making it more accessible and versatile for developers. He also covers the Llama Stack toolkit, designed to streamline deployment, and Llama Guard 3, Meta’s latest content moderation solution. With extensive support from major cloud and hardware partners, Llama 3.2 is set to unlock groundbreaking possibilities for AI across mobile and beyond. Tune in to hear more.

Additional materials: www.superdatascience.com/824

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 04 Oct 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b4d52406-81bf-11ef-ab03-0b05bc3e67bf/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Llama 3.2 brings a new era of AI innovation with lightweight models tailored for on-device applications and powerful vision models for handling complex image inputs. Host Jon Krohn explores how this release pushes the boundaries of open-source AI, making it more accessible and versatile for developers. He also covers the Llama Stack toolkit, designed to streamline deployment, and Llama Guard 3, Meta’s latest content moderation solution. With extensive support from major cloud and hardware partners, Llama 3.2 is set to unlock groundbreaking possibilities for AI across mobile and beyond. Tune in to hear more.</itunes:subtitle>
      <itunes:summary>Llama 3.2 brings a new era of AI innovation with lightweight models tailored for on-device applications and powerful vision models for handling complex image inputs. Host Jon Krohn explores how this release pushes the boundaries of open-source AI, making it more accessible and versatile for developers. He also covers the Llama Stack toolkit, designed to streamline deployment, and Llama Guard 3, Meta’s latest content moderation solution. With extensive support from major cloud and hardware partners, Llama 3.2 is set to unlock groundbreaking possibilities for AI across mobile and beyond. Tune in to hear more.

Additional materials: www.superdatascience.com/824

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Llama 3.2 brings a new era of AI innovation with lightweight models tailored for on-device applications and powerful vision models for handling complex image inputs. Host Jon Krohn explores how this release pushes the boundaries of open-source AI, making it more accessible and versatile for developers. He also covers the Llama Stack toolkit, designed to streamline deployment, and Llama Guard 3, Meta’s latest content moderation solution. With extensive support from major cloud and hardware partners, Llama 3.2 is set to unlock groundbreaking possibilities for AI across mobile and beyond. Tune in to hear more.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/824">www.superdatascience.com/824</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>816</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[b4d52406-81bf-11ef-ab03-0b05bc3e67bf]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5028678085.mp3?updated=1727985129" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>823: Virtual Humans and AI Clones, with Natalie Monbiot</title>
      <description>Virtual humans are rewriting the rules of digital communication and reshaping entire industries. This week, Jon Krohn welcomes Natalie Monbiot, Head of Strategy at Hour One, to shed light on how AI avatars are revolutionizing L&amp;D and e-commerce by turning traditional training and product listings into captivating, presenter-led content.

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick, by Gurobi, the Decision Intelligence Leader, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• How do you create a virtual being? [10:55]
• Reid Hoffman's avatar [13:40]
• The virtual human economy [31:07]
• Virtual human societies [51:24]
• Virtual humans and creative expression [56:35]
• Challenges in maintaining transparency [01:00:22]

Additional materials: www.superdatascience.com/823</description>
      <pubDate>Tue, 01 Oct 2024 11:05:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/bb328a1c-7fd2-11ef-8558-2702ca01e498/image/5103750ff949b61d94f35e94b7ea31e4.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Virtual humans are rewriting the rules of digital communication and reshaping entire industries. This week, Jon Krohn welcomes Natalie Monbiot, Head of Strategy at Hour One, to shed light on how AI avatars are revolutionizing L&amp;D and e-commerce by turning traditional training and product listings into captivating, presenter-led content.</itunes:subtitle>
      <itunes:summary>Virtual humans are rewriting the rules of digital communication and reshaping entire industries. This week, Jon Krohn welcomes Natalie Monbiot, Head of Strategy at Hour One, to shed light on how AI avatars are revolutionizing L&amp;D and e-commerce by turning traditional training and product listings into captivating, presenter-led content.

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick, by Gurobi, the Decision Intelligence Leader, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• How do you create a virtual being? [10:55]
• Reid Hoffman's avatar [13:40]
• The virtual human economy [31:07]
• Virtual human societies [51:24]
• Virtual humans and creative expression [56:35]
• Challenges in maintaining transparency [01:00:22]

Additional materials: www.superdatascience.com/823</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Virtual humans are rewriting the rules of digital communication and reshaping entire industries. This week, Jon Krohn welcomes Natalie Monbiot, Head of Strategy at Hour One, to shed light on how AI avatars are revolutionizing L&amp;D and e-commerce by turning traditional training and product listings into captivating, presenter-led content.</p><p><br></p><p>This episode is brought to you by epic LinkedIn Learning instructor <a href="https://www.linkedin.com/learning/instructors/keith-mccormick">Keith McCormick</a>, by <a href="https://www.gurobi.com/personas/optimization-for-data-scientists">Gurobi</a>, the Decision Intelligence Leader, and by <a href="https://odsc.com/california/">ODSC</a>, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• How do you create a virtual being? [10:55]</p><p>• Reid Hoffman's avatar [13:40]</p><p>• The virtual human economy [31:07]</p><p>• Virtual human societies [51:24]</p><p>• Virtual humans and creative expression [56:35]</p><p>• Challenges in maintaining transparency [01:00:22]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/823">www.superdatascience.com/823</a></p>]]>
      </content:encoded>
      <itunes:duration>4835</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[bb328a1c-7fd2-11ef-8558-2702ca01e498]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1828391155.mp3?updated=1731434436" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>822: NotebookLM: Jaw-Dropping Podcast Episodes Generated About Your Documents</title>
      <description>NotebookLM, Google’s latest AI tool, takes content creation to a new level. This week, Jon Krohn shares how the platform transformed his 200-page dissertation into a fascinating 11-minute podcast. Discover how AI can turn vast amounts of information into engaging and digestible content, opening up new possibilities for content creation.

Additional materials: www.superdatascience.com/822
﻿
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 27 Sep 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/06e46b2e-7b3c-11ef-8979-93359ab70b2f/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>NotebookLM, Google’s latest AI tool, takes content creation to a new level. This week, Jon Krohn shares how the platform transformed his 200-page dissertation into a fascinating 11-minute podcast. Discover how AI can turn vast amounts of information into engaging and digestible content, opening up new possibilities for content creation.</itunes:subtitle>
      <itunes:summary>NotebookLM, Google’s latest AI tool, takes content creation to a new level. This week, Jon Krohn shares how the platform transformed his 200-page dissertation into a fascinating 11-minute podcast. Discover how AI can turn vast amounts of information into engaging and digestible content, opening up new possibilities for content creation.

Additional materials: www.superdatascience.com/822
﻿
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>NotebookLM, Google’s latest AI tool, takes content creation to a new level. This week, Jon Krohn shares how the platform transformed his 200-page dissertation into a fascinating 11-minute podcast. Discover how AI can turn vast amounts of information into engaging and digestible content, opening up new possibilities for content creation.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/822">www.superdatascience.com/822</a></p><p>﻿</p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1166</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[06e46b2e-7b3c-11ef-8979-93359ab70b2f]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3453011413.mp3?updated=1727268622" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>821: The Skills You Need to Be an Effective Data Scientist, with Marck Vaisman</title>
      <description>Marck Vaisman speaks to Jon Krohn about his paradigm for understanding core data practitioner types. Hear Marck detail the four data practitioner personas that he has identified in his research, why he believes the roadmaps that influencers like to promote as surefire ways to a data science career don’t work in practice, and why the term “data scientist” is still so elusive and hard to recruit for.

This episode is brought to you by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• How Marck started his work in defining data science roles [08:06]
• The relationship between the four data practitioner personas [15:26]
• About Marck’s “menu” for effective data science [40:43]
• How recruiters can hire the best data scientist for the job [59:31]

Additional materials: www.superdatascience.com/821</description>
      <pubDate>Tue, 24 Sep 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/01a5a0a4-7a4e-11ef-819f-bf83e5c48206/image/bb430879630b4dae67f552501ac4343d.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Marck Vaisman speaks to Jon Krohn about his paradigm for understanding core data practitioner types. Hear Marck detail the four data practitioner personas that he has identified in his research, why he believes the roadmaps that influencers like to promote as surefire ways to a data science career don’t work in practice, and why the term “data scientist” is still so elusive and hard to recruit for.</itunes:subtitle>
      <itunes:summary>Marck Vaisman speaks to Jon Krohn about his paradigm for understanding core data practitioner types. Hear Marck detail the four data practitioner personas that he has identified in his research, why he believes the roadmaps that influencers like to promote as surefire ways to a data science career don’t work in practice, and why the term “data scientist” is still so elusive and hard to recruit for.

This episode is brought to you by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• How Marck started his work in defining data science roles [08:06]
• The relationship between the four data practitioner personas [15:26]
• About Marck’s “menu” for effective data science [40:43]
• How recruiters can hire the best data scientist for the job [59:31]

Additional materials: www.superdatascience.com/821</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Marck Vaisman speaks to Jon Krohn about his paradigm for understanding core data practitioner types. Hear Marck detail the four data practitioner personas that he has identified in his research, why he believes the roadmaps that influencers like to promote as surefire ways to a data science career don’t work in practice, and why the term “data scientist” is still so elusive and hard to recruit for.</p><p><br></p><p>This episode is brought to you by <a href="https://www.gurobi.com/personas/optimization-for-data-scientists">Gurobi</a>, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• How Marck started his work in defining data science roles [08:06]</p><p>• The relationship between the four data practitioner personas [15:26]</p><p>• About Marck’s “menu” for effective data science [40:43]</p><p>• How recruiters can hire the best data scientist for the job [59:31]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/821">www.superdatascience.com/821</a></p>]]>
      </content:encoded>
      <itunes:duration>4394</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[01a5a0a4-7a4e-11ef-819f-bf83e5c48206]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7223372227.mp3?updated=1731434441" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>820: OpenAI's o1 "Strawberry" Models</title>
      <description>Jon Krohn takes OpenAI’s new models (o1-preview and o1-mini) for a spin in this Five-Minute Friday, learning their key strengths and limitations, and how the o1 series may represent yet another landmark for generative AI.

Additional materials: www.superdatascience.com/820
﻿
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 20 Sep 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/d0f12598-765e-11ef-86fb-9b777798c3c4/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn takes OpenAI’s new models (o1-preview and o1-mini) for a spin in this Five-Minute Friday, learning their key strengths and limitations, and how the o1 series may represent yet another landmark for generative AI.</itunes:subtitle>
      <itunes:summary>Jon Krohn takes OpenAI’s new models (o1-preview and o1-mini) for a spin in this Five-Minute Friday, learning their key strengths and limitations, and how the o1 series may represent yet another landmark for generative AI.

Additional materials: www.superdatascience.com/820
﻿
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn takes OpenAI’s new models (o1-preview and o1-mini) for a spin in this Five-Minute Friday, learning their key strengths and limitations, and how the o1 series may represent yet another landmark for generative AI.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/820">www.superdatascience.com/820</a></p><p>﻿</p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1640</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[d0f12598-765e-11ef-86fb-9b777798c3c4]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8500436788.mp3?updated=1726733809" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>819: PyTorch: From Zero to Hero, with Luka Anicin</title>
      <description>SuperDataScience veteran and Udemy teacher Luka Anicin is on the podcast to talk about his brand-new course, “PyTorch: From Zero to Hero”, available exclusively on superdatascience.com. Host Jon Krohn asks Luka why he feels that every data scientist should consider PyTorch as their default Python library, and why “keeping it simple” can secure the success of a machine learning project.

This episode is brought to you by AWS Inferentia and AWS Trainium, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• About the PyTorch library [03:29]
• Why PyTorch became so popular [25:24]
• How to increase accuracy and efficiency in PyTorch [31:49]
• How to utilize transfer learning [35:44]
• Why real-world projects are essential to data scientists [41:10]
• About Datablooz [46:49]

Additional materials: www.superdatascience.com/819</description>
      <pubDate>Tue, 17 Sep 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/74cf8c76-74cb-11ef-8e81-af4a87d47d8c/image/506fd291ae959066176f42dd5f466a38.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>SuperDataScience veteran and Udemy teacher Luka Anicin is on the podcast to talk about his brand-new course, “PyTorch: From Zero to Hero”, available exclusively on superdatascience.com. Host Jon Krohn asks Luka why he feels that every data scientist should consider PyTorch as their default Python library, and why “keeping it simple” can secure the success of a machine learning project.</itunes:subtitle>
      <itunes:summary>SuperDataScience veteran and Udemy teacher Luka Anicin is on the podcast to talk about his brand-new course, “PyTorch: From Zero to Hero”, available exclusively on superdatascience.com. Host Jon Krohn asks Luka why he feels that every data scientist should consider PyTorch as their default Python library, and why “keeping it simple” can secure the success of a machine learning project.

This episode is brought to you by AWS Inferentia and AWS Trainium, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• About the PyTorch library [03:29]
• Why PyTorch became so popular [25:24]
• How to increase accuracy and efficiency in PyTorch [31:49]
• How to utilize transfer learning [35:44]
• Why real-world projects are essential to data scientists [41:10]
• About Datablooz [46:49]

Additional materials: www.superdatascience.com/819</itunes:summary>
      <content:encoded>
        <![CDATA[<p>SuperDataScience veteran and Udemy teacher Luka Anicin is on the podcast to talk about his brand-new course, “PyTorch: From Zero to Hero”, available exclusively on superdatascience.com. Host Jon Krohn asks Luka why he feels that every data scientist should consider PyTorch as their default Python library, and why “keeping it simple” can secure the success of a machine learning project.</p><p><br></p><p>This episode is brought to you by <a href="https://go.aws/3zWS0au">AWS Inferentia</a> and <a href="https://go.aws/3ycV6K0">AWS Trainium</a>, and by <a href="https://www.gurobi.com/personas/optimization-for-data-scientists">Gurobi</a>, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• About the PyTorch library [03:29]</p><p>• Why PyTorch became so popular [25:24]</p><p>• How to increase accuracy and efficiency in PyTorch [31:49]</p><p>• How to utilize transfer learning [35:44]</p><p>• Why real-world projects are essential to data scientists [41:10]</p><p>• About Datablooz [46:49]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/819">www.superdatascience.com/819</a></p>]]>
      </content:encoded>
      <itunes:duration>3965</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[74cf8c76-74cb-11ef-8e81-af4a87d47d8c]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1934309702.mp3?updated=1730112572" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>818: In Case You Missed It in August 2024</title>
      <description>Experts from AI and data science discuss the impact and benefits of decentralization, the importance of structuring AI systems in business, and why knowing the basics will always matter for data engineers. Listen to Shingai Manjengwa (episode 809), Daniel Hulme (episode 807), Jerry Yurchisin (episode 813) and Nick Elprin (episode 811) explore a future world of work that rewards continuing learners, sets tasks for the people best suited to complete them rather than those whose job titles reflect the spec, and applies a fleet of ‘AI agents’ to solve complex business tasks.

Additional materials: www.superdatascience.com/818
﻿
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 13 Sep 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b7118f18-70e7-11ef-9d7c-cb629cbd1395/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Experts from AI and data science discuss the impact and benefits of decentralization, the importance of structuring AI systems in business, and why knowing the basics will always matter for data engineers. Listen to Shingai Manjengwa (episode 809), Daniel Hulme (episode 807), Jerry Yurchisin (episode 813) and Nick Elprin (episode 811) explore a future world of work that rewards continuing learners, sets tasks for the people best suited to complete them rather than those whose job titles reflect the spec, and applies a fleet of ‘AI agents’ to solve complex business tasks.</itunes:subtitle>
      <itunes:summary>Experts from AI and data science discuss the impact and benefits of decentralization, the importance of structuring AI systems in business, and why knowing the basics will always matter for data engineers. Listen to Shingai Manjengwa (episode 809), Daniel Hulme (episode 807), Jerry Yurchisin (episode 813) and Nick Elprin (episode 811) explore a future world of work that rewards continuing learners, sets tasks for the people best suited to complete them rather than those whose job titles reflect the spec, and applies a fleet of ‘AI agents’ to solve complex business tasks.

Additional materials: www.superdatascience.com/818
﻿
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Experts from AI and data science discuss the impact and benefits of decentralization, the importance of structuring AI systems in business, and why knowing the basics will always matter for data engineers. Listen to Shingai Manjengwa (episode 809), Daniel Hulme (episode 807), Jerry Yurchisin (episode 813) and Nick Elprin (episode 811) explore a future world of work that rewards continuing learners, sets tasks for the people best suited to complete them rather than those whose job titles reflect the spec, and applies a fleet of ‘AI agents’ to solve complex business tasks.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/818">www.superdatascience.com/818</a></p><p>﻿</p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1791</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[b7118f18-70e7-11ef-9d7c-cb629cbd1395]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7176143187.mp3?updated=1726132899" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>817: The Positron IDE, Tidy NLP and MLOps with Dr. Julia Silge</title>
      <description>Dr. Julia Silge, Engineering Manager at Posit, introduces the brand-new Positron IDE, perfect for exploratory data analysis and visualization. She also lays out her top picks for LLMs that boost coding efficiency and discusses when traditional NLP methods might be the smarter choice over LLMs. Plus, Julia highlights some must-know open-source libraries that make managing MLOps easier than ever. Tune in for insights that every data scientist, ML engineer, and developer will find useful.

This episode is brought to you by Gurobi, the Decision Intelligence Leader, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• Overview of Posit and Positron IDE [05:20]
• How the needs of a data scientist differ from those of a software developer [10:54]
• How to contribute to the open-source Positron [19:50]
• MLOps and Vetiver: Tools for deploying and maintaining ML models [37:01]
• Natural Language Processing (NLP) and the Tidyverse approach [50:34]
• The role of AI and LLMs in data science education [1:24:18]

Additional materials: www.superdatascience.com/817</description>
      <pubDate>Tue, 10 Sep 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7a9233ba-6e8c-11ef-b7f3-bf1a7e8cd04e/image/58e86342c33deed2cb7a001f8292eaad.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Dr. Julia Silge, Engineering Manager at Posit, introduces the brand-new Positron IDE, perfect for exploratory data analysis and visualization. She also lays out her top picks for LLMs that boost coding efficiency and discusses when traditional NLP methods might be the smarter choice over LLMs. Plus, Julia highlights some must-know open-source libraries that make managing MLOps easier than ever. Tune in for insights that every data scientist, ML engineer, and developer will find useful.</itunes:subtitle>
      <itunes:summary>Dr. Julia Silge, Engineering Manager at Posit, introduces the brand-new Positron IDE, perfect for exploratory data analysis and visualization. She also lays out her top picks for LLMs that boost coding efficiency and discusses when traditional NLP methods might be the smarter choice over LLMs. Plus, Julia highlights some must-know open-source libraries that make managing MLOps easier than ever. Tune in for insights that every data scientist, ML engineer, and developer will find useful.

This episode is brought to you by Gurobi, the Decision Intelligence Leader, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• Overview of Posit and Positron IDE [05:20]
• How the needs of a data scientist differ from those of a software developer [10:54]
• How to contribute to the open-source Positron [19:50]
• MLOps and Vetiver: Tools for deploying and maintaining ML models [37:01]
• Natural Language Processing (NLP) and the Tidyverse approach [50:34]
• The role of AI and LLMs in data science education [1:24:18]

Additional materials: www.superdatascience.com/817</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Dr. Julia Silge, Engineering Manager at Posit, introduces the brand-new Positron IDE, perfect for exploratory data analysis and visualization. She also lays out her top picks for LLMs that boost coding efficiency and discusses when traditional NLP methods might be the smarter choice over LLMs. Plus, Julia highlights some must-know open-source libraries that make managing MLOps easier than ever. Tune in for insights that every data scientist, ML engineer, and developer will find useful.</p><p><br></p><p>This episode is brought to you by <a href="https://www.gurobi.com/personas/optimization-for-data-scientists">Gurobi</a>, the Decision Intelligence Leader, and by <a href="https://odsc.com/california/">ODSC</a>, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• Overview of Posit and Positron IDE [05:20]</p><p>• How the needs of a data scientist differ from those of a software developer [10:54]</p><p>• How to contribute to the open-source Positron [19:50]</p><p>• MLOps and Vetiver: Tools for deploying and maintaining ML models [37:01]</p><p>• Natural Language Processing (NLP) and the Tidyverse approach [50:34]</p><p>• The role of AI and LLMs in data science education [1:24:18]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/817">www.superdatascience.com/817</a></p>]]>
      </content:encoded>
      <itunes:duration>5771</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[7a9233ba-6e8c-11ef-b7f3-bf1a7e8cd04e]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2520996506.mp3?updated=1725999193" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>816: Explaining AGI to a 94-Year-Old</title>
      <description>Jon Krohn takes on a listener's challenge to explain his work in data science to his 94-year-old grandmother, Annie. This heartwarming conversation covers what data is, the role of a data scientist, and breaks down artificial intelligence (AI) and artificial general intelligence (AGI) in simple terms. The episode provides a fresh take on how to communicate complex topics to a lay audience, offering both clarity and insight.

Additional materials: www.superdatascience.com/816
﻿
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 06 Sep 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e1c3b492-6bc0-11ef-89ed-ab65747ac164/image/bd629d12af5a39b12b956c9f50cea7a5.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn takes on a listener's challenge to explain his work in data science to his 94-year-old grandmother, Annie. This heartwarming conversation covers what data is, the role of a data scientist, and breaks down artificial intelligence (AI) and artificial general intelligence (AGI) in simple terms. The episode provides a fresh take on how to communicate complex topics to a lay audience, offering both clarity and insight.</itunes:subtitle>
      <itunes:summary>Jon Krohn takes on a listener's challenge to explain his work in data science to his 94-year-old grandmother, Annie. This heartwarming conversation covers what data is, the role of a data scientist, and breaks down artificial intelligence (AI) and artificial general intelligence (AGI) in simple terms. The episode provides a fresh take on how to communicate complex topics to a lay audience, offering both clarity and insight.

Additional materials: www.superdatascience.com/816
﻿
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn takes on a listener's challenge to explain his work in data science to his 94-year-old grandmother, Annie. This heartwarming conversation covers what data is, the role of a data scientist, and breaks down artificial intelligence (AI) and artificial general intelligence (AGI) in simple terms. The episode provides a fresh take on how to communicate complex topics to a lay audience, offering both clarity and insight.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/816">www.superdatascience.com/816</a></p><p>﻿</p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1182</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[e1c3b492-6bc0-11ef-89ed-ab65747ac164]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5004270315.mp3?updated=1725566464" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>815: Polars: Faster DataFrame Ops, with Marco Gorelli</title>
      <description>Polars, Python, Narwhals, Rust, and Pandas: Marco Gorelli talks to Jon Krohn about the many ways to use the newest data libraries available, the joys of open-source development, and the best method to win prizes in forecasting competitions.

This episode is brought to you by AWS Inferentia and AWS Trainium, by Babbel, the science-backed language-learning platform, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• When to use Polars vs Pandas [08:26]
• How Polars optimizes string operations and data processing [20:08]
• Where Narwhals outstrips Polars and Pandas [48:37]
• The benefits of using Altair [55:21]
• Addressing the lack of women in data science [1:09:58]
• How to win a forecasting competition [1:16:58]

Additional materials: www.superdatascience.com/815</description>
      <pubDate>Tue, 03 Sep 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/446f6a18-69c4-11ef-96c4-b7984cbcbf5d/image/b6eddc6163697d5ea2f2417d54436231.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Polars, Python, Narwhals, Rust, and Pandas: Marco Gorelli talks to Jon Krohn about the many ways to use the newest data libraries available, the joys of open-source development, and the best method to win prizes in forecasting competitions.</itunes:subtitle>
      <itunes:summary>Polars, Python, Narwhals, Rust, and Pandas: Marco Gorelli talks to Jon Krohn about the many ways to use the newest data libraries available, the joys of open-source development, and the best method to win prizes in forecasting competitions.

This episode is brought to you by AWS Inferentia and AWS Trainium, by Babbel, the science-backed language-learning platform, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• When to use Polars vs Pandas [08:26]
• How Polars optimizes string operations and data processing [20:08]
• Where Narwhals outstrips Polars and Pandas [48:37]
• The benefits of using Altair [55:21]
• Addressing the lack of women in data science [1:09:58]
• How to win a forecasting competition [1:16:58]

Additional materials: www.superdatascience.com/815</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Polars, Python, Narwhals, Rust, and Pandas: Marco Gorelli talks to Jon Krohn about the many ways to use the newest data libraries available, the joys of open-source development, and the best method to win prizes in forecasting competitions.</p><p><br></p><p>This episode is brought to you by <a href="https://go.aws/3zWS0au">AWS Inferentia</a> and <a href="https://go.aws/3ycV6K0">AWS Trainium</a>, by <a href="https://www.babbel.com/superdata">Babbel</a>, the science-backed language-learning platform, and by <a href="https://www.gurobi.com/personas/optimization-for-data-scientists">Gurobi</a>, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• When to use Polars vs Pandas [08:26]</p><p>• How Polars optimizes string operations and data processing [20:08]</p><p>• Where Narwhals outstrips Polars and Pandas [48:37]</p><p>• The benefits of using Altair [55:21]</p><p>• Addressing the lack of women in data science [1:09:58]</p><p>• How to win a forecasting competition [1:16:58]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/815">www.superdatascience.com/815</a></p>]]>
      </content:encoded>
      <itunes:duration>5238</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[446f6a18-69c4-11ef-96c4-b7984cbcbf5d]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5385657231.mp3?updated=1725534149" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>814: Summer Reflections</title>
      <description>As summer winds down, this episode shifts focus from the usual tech discussions to something more personal: reflecting on the importance of balancing work with life’s simple pleasures. While the world of data science and AI continues to evolve rapidly, it's essential to remember that true success isn't just about professional milestones. It’s also about cherishing the moments that make life meaningful. Tune in for a brief but impactful reflection on how to redefine success to include not just achievements, but also the everyday joys that often go unnoticed.

Additional materials: www.superdatascience.com/814
﻿
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 30 Aug 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/467e8330-65e5-11ef-8eac-8b37e0bdea67/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>As summer winds down, this episode shifts focus from the usual tech discussions to something more personal: reflecting on the importance of balancing work with life’s simple pleasures. While the world of data science and AI continues to evolve rapidly, it's essential to remember that true success isn't just about professional milestones. It’s also about cherishing the moments that make life meaningful. Tune in for a brief but impactful reflection on how to redefine success to include not just achievements, but also the everyday joys that often go unnoticed.</itunes:subtitle>
      <itunes:summary>As summer winds down, this episode shifts focus from the usual tech discussions to something more personal: reflecting on the importance of balancing work with life’s simple pleasures. While the world of data science and AI continues to evolve rapidly, it's essential to remember that true success isn't just about professional milestones. It’s also about cherishing the moments that make life meaningful. Tune in for a brief but impactful reflection on how to redefine success to include not just achievements, but also the everyday joys that often go unnoticed.

Additional materials: www.superdatascience.com/814
﻿
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>As summer winds down, this episode shifts focus from the usual tech discussions to something more personal: reflecting on the importance of balancing work with life’s simple pleasures. While the world of data science and AI continues to evolve rapidly, it's essential to remember that true success isn't just about professional milestones. It’s also about cherishing the moments that make life meaningful. Tune in for a brief but impactful reflection on how to redefine success to include not just achievements, but also the everyday joys that often go unnoticed.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/814">www.superdatascience.com/814</a></p><p>﻿</p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>246</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[467e8330-65e5-11ef-8eac-8b37e0bdea67]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7822084763.mp3?updated=1724922388" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>813: Solving Business Problems Optimally with Data, with Jerry Yurchisin</title>
      <description>Jerry Yurchisin from Gurobi joins Jon Krohn to break down mathematical optimization, showing why it often outshines machine learning for real-world challenges. Find out how innovations like NVIDIA’s latest CPUs are speeding up solutions to problems like the Traveling Salesman in seconds.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• The Burrito Optimization Game and mathematical optimization use cases [03:36]
• Key differences between machine learning and mathematical optimization [05:45]
• How mathematical optimization is ideal for real-world constraints [13:50]
• Gurobi’s APIs and the ease of integrating them [21:33]
• How LLMs like GPT-4 can help with optimization problems [39:39]
• Why integer variables are so complex to model [01:02:37]
• NP-hard problems [01:11:01]
• The history of optimization and its early applications [01:26:23]

Additional materials: www.superdatascience.com/813</description>
      <pubDate>Tue, 27 Aug 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/334dba48-644f-11ef-8720-3f12ab1c1c4b/image/71db3a756efa96f149050d0ee8b3223d.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jerry Yurchisin from Gurobi joins Jon Krohn to break down mathematical optimization, showing why it often outshines machine learning for real-world challenges. Find out how innovations like NVIDIA’s latest CPUs are speeding up solutions to problems like the Traveling Salesman in seconds.</itunes:subtitle>
      <itunes:summary>Jerry Yurchisin from Gurobi joins Jon Krohn to break down mathematical optimization, showing why it often outshines machine learning for real-world challenges. Find out how innovations like NVIDIA’s latest CPUs are speeding up solutions to problems like the Traveling Salesman in seconds.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• The Burrito Optimization Game and mathematical optimization use cases [03:36]
• Key differences between machine learning and mathematical optimization [05:45]
• How mathematical optimization is ideal for real-world constraints [13:50]
• Gurobi’s APIs and the ease of integrating them [21:33]
• How LLMs like GPT-4 can help with optimization problems [39:39]
• Why integer variables are so complex to model [01:02:37]
• NP-hard problems [01:11:01]
• The history of optimization and its early applications [01:26:23]

Additional materials: www.superdatascience.com/813</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jerry Yurchisin from Gurobi joins Jon Krohn to break down mathematical optimization, showing why it often outshines machine learning for real-world challenges. Find out how innovations like NVIDIA’s latest CPUs are speeding up solutions to problems like the Traveling Salesman in seconds.</p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• The Burrito Optimization Game and mathematical optimization use cases [03:36]</p><p>• Key differences between machine learning and mathematical optimization [05:45]</p><p>• How mathematical optimization is ideal for real-world constraints [13:50]</p><p>• Gurobi’s APIs and the ease of integrating them [21:33]</p><p>• How LLMs like GPT-4 can help with optimization problems [39:39]</p><p>• Why integer variables are so complex to model [01:02:37]</p><p>• NP-hard problems [01:11:01]</p><p>• The history of optimization and its early applications [01:26:23]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/813">www.superdatascience.com/813</a></p>]]>
      </content:encoded>
      <itunes:duration>6210</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[334dba48-644f-11ef-8720-3f12ab1c1c4b]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3076011116.mp3?updated=1724747981" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>812: The AI Scientist: Towards Fully Automated, Open-Ended Scientific Discovery</title>
      <description>In this episode of Five-Minute Friday, Jon Krohn investigates published findings from the startup Sakana AI and its paper’s co-authors from the University of Oxford, the University of British Columbia and the Vector Institute in Toronto. These authors explore the potential of The AI Scientist, a framework that could change the way we conduct scientific research forever.

Additional materials: www.superdatascience.com/812
﻿
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 23 Aug 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/84be17c0-60bb-11ef-b754-5ba5b476465f/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn investigates published findings from the startup Sakana AI and its paper’s co-authors from the University of Oxford, the University of British Columbia and the Vector Institute in Toronto. These authors explore the potential of The AI Scientist, a framework that could change the way we conduct scientific research forever.</itunes:subtitle>
      <itunes:summary>In this episode of Five-Minute Friday, Jon Krohn investigates published findings from the startup Sakana AI and its paper’s co-authors from the University of Oxford, the University of British Columbia and the Vector Institute in Toronto. These authors explore the potential of The AI Scientist, a framework that could change the way we conduct scientific research forever.

Additional materials: www.superdatascience.com/812
﻿
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of Five-Minute Friday, Jon Krohn investigates published findings from the startup Sakana AI and its paper’s co-authors from the University of Oxford, the University of British Columbia and the Vector Institute in Toronto. These authors explore the potential of The AI Scientist, a framework that could change the way we conduct scientific research forever.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/812">www.superdatascience.com/812</a></p><p>﻿</p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>701</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[84be17c0-60bb-11ef-b754-5ba5b476465f]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4524928985.mp3?updated=1724354698" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>811: Scaling Data Science Teams Effectively, with Nick Elprin</title>
      <description>Nick Elprin talks to Jon Krohn about how and when to scale a data science team and its workflows to secure a company’s commercial viability. You’ll also hear how to launch your own data science startup and why it’s so important to understand that AI tools are not one-size-fits-all.

This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• How Nick served enterprises with his AI startup, Domino Data Lab [05:36]
• About the Navy’s own mine detection models [17:43]
• The hype surrounding GenAI [30:35]
• How AI platforms integrate with business strategies [39:49]
• When it’s time to integrate an AI tool into your business [51:12]
• Why Nick started Domino Data Lab [1:03:53]

Additional materials: www.superdatascience.com/811</description>
      <pubDate>Tue, 20 Aug 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4289b01c-5ed6-11ef-ac42-c33792faf832/image/c0da03661cfa38c0561d7f6c8b5e8e2a.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Nick Elprin talks to Jon Krohn about how and when to scale a data science team and its workflows to secure a company’s commercial viability. You’ll also hear how to launch your own data science startup and why it’s so important to understand that AI tools are not one-size-fits-all.</itunes:subtitle>
      <itunes:summary>Nick Elprin talks to Jon Krohn about how and when to scale a data science team and its workflows to secure a company’s commercial viability. You’ll also hear how to launch your own data science startup and why it’s so important to understand that AI tools are not one-size-fits-all.

This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• How Nick served enterprises with his AI startup, Domino Data Lab [05:36]
• About the Navy’s own mine detection models [17:43]
• The hype surrounding GenAI [30:35]
• How AI platforms integrate with business strategies [39:49]
• When it’s time to integrate an AI tool into your business [51:12]
• Why Nick started Domino Data Lab [1:03:53]

Additional materials: www.superdatascience.com/811</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Nick Elprin talks to Jon Krohn about how and when to scale a data science team and its workflows to secure a company’s commercial viability. You’ll also hear how to launch your own data science startup and why it’s so important to understand that AI tools are not one-size-fits-all.</p><p><br></p><p>This episode is brought to you by <a href="https://go.aws/3zWS0au">AWS Inferentia</a> and <a href="https://go.aws/3ycV6K0">AWS Trainium</a>. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• How Nick served enterprises with his AI startup, Domino Data Lab [05:36]</p><p>• About the Navy’s own mine detection models [17:43]</p><p>• The hype surrounding GenAI [30:35]</p><p>• How AI platforms integrate with business strategies [39:49]</p><p>• When it’s time to integrate an AI tool into your business [51:12]</p><p>• Why Nick started Domino Data Lab [1:03:53]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/811">www.superdatascience.com/811</a></p>]]>
      </content:encoded>
      <itunes:duration>4446</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[4289b01c-5ed6-11ef-ac42-c33792faf832]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4465360711.mp3?updated=1724146301" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>810: The Five Levels of Self-Driving Cars</title>
      <description>Self-driving cars are here, and Jon Krohn is breaking down the five levels of automation that could change driving forever. From full human control at Level 0 to cars that drive themselves in any condition at Level 5, get the real story on what these levels mean. With firsthand insights from a recent autonomous vehicle experience, this episode cuts through the buzz and tells you what’s coming next.

Additional materials: www.superdatascience.com/810
﻿
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 16 Aug 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6d85ebe6-5b3e-11ef-8786-3bad36f03493/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Self-driving cars are here, and Jon Krohn is breaking down the five levels of automation that could change driving forever. From full human control at Level 0 to cars that drive themselves in any condition at Level 5, get the real story on what these levels mean. With firsthand insights from a recent autonomous vehicle experience, this episode cuts through the buzz and tells you what’s coming next.</itunes:subtitle>
      <itunes:summary>Self-driving cars are here, and Jon Krohn is breaking down the five levels of automation that could change driving forever. From full human control at Level 0 to cars that drive themselves in any condition at Level 5, get the real story on what these levels mean. With firsthand insights from a recent autonomous vehicle experience, this episode cuts through the buzz and tells you what’s coming next.

Additional materials: www.superdatascience.com/810
﻿
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Self-driving cars are here, and Jon Krohn is breaking down the five levels of automation that could change driving forever. From full human control at Level 0 to cars that drive themselves in any condition at Level 5, get the real story on what these levels mean. With firsthand insights from a recent autonomous vehicle experience, this episode cuts through the buzz and tells you what’s coming next.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/810">www.superdatascience.com/810</a></p><p>﻿</p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>529</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[6d85ebe6-5b3e-11ef-8786-3bad36f03493]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5035487439.mp3?updated=1723751216" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>809: Agentic AI, with Shingai Manjengwa</title>
      <description>Agentic AI is revolutionizing the tech landscape, and Shingai Manjengwa from ChainML is here to tell us why. Discover how AI agents are becoming an integral part of our lives, automating tasks like travel bookings and daily inspiration. Shingai explains the power of multi-agent systems, where AI agents collaborate to solve complex challenges, and highlights how blockchain technology is enhancing AI transparency and trust. Plus, get an inside look at ChainML’s innovative Theoriq protocol and the groundbreaking Council Analytics tool.

This episode is brought to you by Gurobi, the Decision Intelligence Leader, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• What A.I. agents are [10:51]
• How blockchain technology helps humans trust A.I. agents [18:27]
• The Theoriq protocol developed by ChainML [34:05]
• How Council Analytics lets you “speak” to their dataset with natural language [39:00]
• A future of multi-agent systems [50:42]
• Challenges and risks associated with agentic AI [1:04:17]

Additional materials: www.superdatascience.com/809</description>
      <pubDate>Tue, 13 Aug 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/36f95694-58e6-11ef-918f-c764820dc053/image/83096015982b04306c8e8b7f9f11a704.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Agentic AI is revolutionizing the tech landscape, and Shingai Manjengwa from ChainML is here to tell us why. Discover how AI agents are becoming an integral part of our lives, automating tasks like travel bookings and daily inspiration. Shingai explains the power of multi-agent systems, where AI agents collaborate to solve complex challenges, and highlights how blockchain technology is enhancing AI transparency and trust. Plus, get an inside look at ChainML’s innovative Theoriq protocol and the groundbreaking Council Analytics tool.</itunes:subtitle>
      <itunes:summary>Agentic AI is revolutionizing the tech landscape, and Shingai Manjengwa from ChainML is here to tell us why. Discover how AI agents are becoming an integral part of our lives, automating tasks like travel bookings and daily inspiration. Shingai explains the power of multi-agent systems, where AI agents collaborate to solve complex challenges, and highlights how blockchain technology is enhancing AI transparency and trust. Plus, get an inside look at ChainML’s innovative Theoriq protocol and the groundbreaking Council Analytics tool.

This episode is brought to you by Gurobi, the Decision Intelligence Leader, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• What A.I. agents are [10:51]
• How blockchain technology helps humans trust A.I. agents [18:27]
• The Theoriq protocol developed by ChainML [34:05]
• How Council Analytics lets you “speak” to their dataset with natural language [39:00]
• A future of multi-agent systems [50:42]
• Challenges and risks associated with agentic AI [1:04:17]

Additional materials: www.superdatascience.com/809</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Agentic AI is revolutionizing the tech landscape, and Shingai Manjengwa from ChainML is here to tell us why. Discover how AI agents are becoming an integral part of our lives, automating tasks like travel bookings and daily inspiration. Shingai explains the power of multi-agent systems, where AI agents collaborate to solve complex challenges, and highlights how blockchain technology is enhancing AI transparency and trust. Plus, get an inside look at ChainML’s innovative Theoriq protocol and the groundbreaking Council Analytics tool.</p><p><br></p><p>This episode is brought to you by <a href="https://www.gurobi.com/personas/optimization-for-data-scientists">Gurobi</a>, the Decision Intelligence Leader, and by <a href="https://odsc.com/california/">ODSC</a>, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• What A.I. agents are [10:51]</p><p>• How blockchain technology helps humans trust A.I. agents [18:27]</p><p>• The Theoriq protocol developed by ChainML [34:05]</p><p>• How Council Analytics lets you “speak” to their dataset with natural language [39:00]</p><p>• A future of multi-agent systems [50:42]</p><p>• Challenges and risks associated with agentic AI [1:04:17]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/809">www.superdatascience.com/809</a></p>]]>
      </content:encoded>
      <itunes:duration>4219</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[36f95694-58e6-11ef-918f-c764820dc053]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5658996464.mp3?updated=1723493426" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>808: In Case You Missed It in July 2024</title>
      <description>Advice for emerging data scientists, the latest in model merging, and how GenAI can supercharge your creativity: Host Jon Krohn gives us his highlights from a month of interviews, packed with tips from some of the leading names in data science and beyond. Guests include Daliana Liu, Charles Duhigg, Charles Goddard, Rosanne Liu and Andrey Kurenkov.

Additional materials: www.superdatascience.com/808
﻿
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 09 Aug 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1f150d72-5579-11ef-b3c5-2ba43e181336/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Advice for emerging data scientists, the latest in model merging, and how GenAI can supercharge your creativity: Host Jon Krohn gives us his highlights from a month of interviews, packed with tips from some of the leading names in data science and beyond. Guests include Daliana Liu, Charles Duhigg, Charles Goddard, Rosanne Liu and Andrey Kurenkov.</itunes:subtitle>
      <itunes:summary>Advice for emerging data scientists, the latest in model merging, and how GenAI can supercharge your creativity: Host Jon Krohn gives us his highlights from a month of interviews, packed with tips from some of the leading names in data science and beyond. Guests include Daliana Liu, Charles Duhigg, Charles Goddard, Rosanne Liu and Andrey Kurenkov.

Additional materials: www.superdatascience.com/808
﻿
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Advice for emerging data scientists, the latest in model merging, and how GenAI can supercharge your creativity: Host Jon Krohn gives us his highlights from a month of interviews, packed with tips from some of the leading names in data science and beyond. Guests include Daliana Liu, Charles Duhigg, Charles Goddard, Rosanne Liu and Andrey Kurenkov.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/808">www.superdatascience.com/808</a></p><p>﻿</p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2303</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[1f150d72-5579-11ef-b3c5-2ba43e181336]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7857586395.mp3?updated=1723116738" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>807: Superintelligence and the Six Singularities, with Dr. Daniel Hulme</title>
      <description>The singularity could soon be upon us. The PESTLE framework, developed by this episode’s guest Daniel Hulme, expresses not one but six types of singularity that could occur: political, environmental, social, technological, legal and economic. Jon Krohn and Daniel Hulme discuss how each of these singularities could bring good to the world, aligning with human interests and pushing forward progress. They also talk about neuromorphic computing, machine consciousness, and applying AI at work.

This episode is brought to you by AWS Inferentia and AWS Trainium, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• About the six singularities [03:43]
• How the singularity could improve life on earth [09:01]
• The credibility of AI experts [32:51]
• How the decentralization of technology could benefit earth [43:14]
• How AI might enhance creativity [1:04:33]

Additional materials: www.superdatascience.com/807</description>
      <pubDate>Tue, 06 Aug 2024 11:00:00 -0000</pubDate>
      <itunes:title>807: Superintelligence and the Six Singularities, with Dr. Daniel Hulme</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/cc0bc094-53d9-11ef-b9cc-832871521de2/image/bd02b6579d6ccafe7c3c72d3d5355663.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>The singularity could soon be upon us. The PESTLE framework, developed by this episode’s guest Daniel Hulme, expresses not one but six types of singularity that could occur: political, environmental, social, technological, legal and economic. Jon Krohn and Daniel Hulme discuss how each of these singularities could bring good to the world, aligning with human interests and pushing forward progress. They also talk about neuromorphic computing, machine consciousness, and applying AI at work.</itunes:subtitle>
      <itunes:summary>The singularity could soon be upon us. The PESTLE framework, developed by this episode’s guest Daniel Hulme, expresses not one but six types of singularity that could occur: political, environmental, social, technological, legal and economic. Jon Krohn and Daniel Hulme discuss how each of these singularities could bring good to the world, aligning with human interests and pushing forward progress. They also talk about neuromorphic computing, machine consciousness, and applying AI at work.

This episode is brought to you by AWS Inferentia and AWS Trainium, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• About the six singularities [03:43]
• How the singularity could improve life on earth [09:01]
• The credibility of AI experts [32:51]
• How the decentralization of technology could benefit earth [43:14]
• How AI might enhance creativity [1:04:33]

Additional materials: www.superdatascience.com/807</itunes:summary>
      <content:encoded>
        <![CDATA[<p>The singularity could soon be upon us. The PESTLE framework, developed by this episode’s guest Daniel Hulme, expresses not one but six types of singularity that could occur: political, environmental, social, technological, legal and economic. Jon Krohn and Daniel Hulme discuss how each of these singularities could bring good to the world, aligning with human interests and pushing forward progress. They also talk about neuromorphic computing, machine consciousness, and applying AI at work.</p><p><br></p><p>This episode is brought to you by <a href="https://go.aws/3zWS0au">AWS Inferentia</a> and <a href="https://go.aws/3ycV6K0">AWS Trainium</a>, and by <a href="https://www.gurobi.com/personas/optimization-for-data-scientists">Gurobi</a>, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• About the six singularities [03:43]</p><p>• How the singularity could improve life on earth [09:01]</p><p>• The credibility of AI experts [32:51]</p><p>• How the decentralization of technology could benefit earth [43:14]</p><p>• How AI might enhance creativity [1:04:33]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/807">www.superdatascience.com/807</a></p>]]>
      </content:encoded>
      <itunes:duration>4163</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[cc0bc094-53d9-11ef-b9cc-832871521de2]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4576608212.mp3?updated=1722938337" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>806: Llama 3.1 405B: The First Open-Source Frontier LLM</title>
      <description>Llama 3.1 is here, and it’s a game-changer. Meta’s latest AI model, especially the massive 405B variant, finally brings an open-source option to compete with giants like OpenAI's GPT-4o and Anthropic's Claude 3.5 Sonnet. While Meta didn’t fully open-source everything, the availability of "open weights" is a strategic move to shake up the AI landscape. The model boasts an impressive 128,000-token context window and multilingual support in eight languages. Meta is also focusing on responsible AI development with tools like Llama Guard 3 for content moderation. This release is more than just a tech upgrade—it's about democratizing AI and sparking innovation across industries. How will you leverage Llama 3.1 to make a real impact? Tune into this week’s FMF episode and let’s explore the future with this latest AI development together.

Additional materials: www.superdatascience.com/806

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 02 Aug 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e5e81374-5031-11ef-8c1e-931f3f1ddf79/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Llama 3.1 is here, and it’s a game-changer. Meta’s latest AI model, especially the massive 405B variant, finally brings an open-source option to compete with giants like OpenAI's GPT-4o and Anthropic's Claude 3.5 Sonnet.</itunes:subtitle>
      <itunes:summary>Llama 3.1 is here, and it’s a game-changer. Meta’s latest AI model, especially the massive 405B variant, finally brings an open-source option to compete with giants like OpenAI's GPT-4o and Anthropic's Claude 3.5 Sonnet. While Meta didn’t fully open-source everything, the availability of "open weights" is a strategic move to shake up the AI landscape. The model boasts an impressive 128,000-token context window and multilingual support in eight languages. Meta is also focusing on responsible AI development with tools like Llama Guard 3 for content moderation. This release is more than just a tech upgrade—it's about democratizing AI and sparking innovation across industries. How will you leverage Llama 3.1 to make a real impact? Tune into this week’s FMF episode and let’s explore the future with this latest AI development together.

Additional materials: www.superdatascience.com/806

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Llama 3.1 is here, and it’s a game-changer. Meta’s latest AI model, especially the massive 405B variant, finally brings an open-source option to compete with giants like OpenAI's GPT-4o and Anthropic's Claude 3.5 Sonnet. While Meta didn’t fully open-source everything, the availability of "open weights" is a strategic move to shake up the AI landscape. The model boasts an impressive 128,000-token context window and multilingual support in eight languages. Meta is also focusing on responsible AI development with tools like Llama Guard 3 for content moderation. This release is more than just a tech upgrade—it's about democratizing AI and sparking innovation across industries. How will you leverage Llama 3.1 to make a real impact? Tune into this week’s FMF episode and let’s explore the future with this latest AI development together.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/806">www.superdatascience.com/806</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1124</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[e5e81374-5031-11ef-8c1e-931f3f1ddf79]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4673335767.mp3?updated=1722536982" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>805: How to Be a Supercommunicator, with Charles Duhigg</title>
      <description>Become a Supercommunicator! New York Times bestselling author Charles Duhigg, known for The Power of Habit and Smarter Faster Better, gets real about mastering communication in this episode. Discover insights from his latest book, Supercommunicator, where he reveals how to align conversation styles for deeper connections, handle conflicts effectively, and why AI can't replicate the emotional depth of human interactions.

This episode is brought to you by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• The inspirations behind Supercommunicator [03:41]
• The three types of conversations: Practical, emotional, and social conversations [05:22]
• The matching principle: Align communication styles for better connection [10:36]
• What is neural entrainment: Achieve a mind meld through synchronized brain activity [13:22]
• The series of steps/principles to connect with someone [24:39]
• How to avoid or de-escalate conflict conversations [31:07]
• The impact of GenAI on conversations: How AI mimics dialogue but lacks emotional depth [45:24]

Additional materials: www.superdatascience.com/805</description>
      <pubDate>Tue, 30 Jul 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/105c4c08-4e50-11ef-875e-1fd4acfe3d60/image/e52e5193ed10814aac8d79263a0e828b.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Become a Supercommunicator! New York Times bestselling author Charles Duhigg, known for The Power of Habit and Smarter Faster Better, gets real about mastering communication in this episode. Discover insights from his latest book, Supercommunicator, where he reveals how to align conversation styles for deeper connections, handle conflicts effectively, and why AI can't replicate the emotional depth of human interactions.</itunes:subtitle>
      <itunes:summary>Become a Supercommunicator! New York Times bestselling author Charles Duhigg, known for The Power of Habit and Smarter Faster Better, gets real about mastering communication in this episode. Discover insights from his latest book, Supercommunicator, where he reveals how to align conversation styles for deeper connections, handle conflicts effectively, and why AI can't replicate the emotional depth of human interactions.

This episode is brought to you by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• The inspirations behind Supercommunicator [03:41]
• The three types of conversations: Practical, emotional, and social conversations [05:22]
• The matching principle: Align communication styles for better connection [10:36]
• What is neural entrainment: Achieve a mind meld through synchronized brain activity [13:22]
• The series of steps/principles to connect with someone [24:39]
• How to avoid or de-escalate conflict conversations [31:07]
• The impact of GenAI on conversations: How AI mimics dialogue but lacks emotional depth [45:24]

Additional materials: www.superdatascience.com/805</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Become a Supercommunicator! New York Times bestselling author Charles Duhigg, known for The Power of Habit and Smarter Faster Better, gets real about mastering communication in this episode. Discover insights from his latest book, Supercommunicator, where he reveals how to align conversation styles for deeper connections, handle conflicts effectively, and why AI can't replicate the emotional depth of human interactions.</p><p><br></p><p>This episode is brought to you by <a href="https://www.gurobi.com/personas/optimization-for-data-scientists/">Gurobi</a>, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• The inspirations behind Supercommunicator [03:41]</p><p>• The three types of conversations: Practical, emotional, and social conversations [05:22]</p><p>• The matching principle: Align communication styles for better connection [10:36]</p><p>• What is neural entrainment: Achieve a mind meld through synchronized brain activity [13:22]</p><p>• The series of steps/principles to connect with someone [24:39]</p><p>• How to avoid or de-escalate conflict conversations [31:07]</p><p>• The impact of GenAI on conversations: How AI mimics dialogue but lacks emotional depth [45:24]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/805">www.superdatascience.com/805</a></p>]]>
      </content:encoded>
      <itunes:duration>3306</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[105c4c08-4e50-11ef-875e-1fd4acfe3d60]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1280174352.mp3?updated=1722329431" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>804: AI x Solar Power = Abundant Energy</title>
      <description>Solar power now provides 6% of the world's electricity, thanks to rapid growth. Host Jon Krohn discusses the factors driving this rise, the challenges ahead, and how AI and data science are optimizing solar technologies. Tune in for insights on the future of solar power, and don't forget to like, share, and subscribe!

Additional materials: www.superdatascience.com/804

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 26 Jul 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/d8be30d4-4b22-11ef-8802-afe5989d9968/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Solar power now provides 6% of the world's electricity, thanks to rapid growth. Host Jon Krohn discusses the factors driving this rise, the challenges ahead, and how AI and data science are optimizing solar technologies.</itunes:subtitle>
      <itunes:summary>Solar power now provides 6% of the world's electricity, thanks to rapid growth. Host Jon Krohn discusses the factors driving this rise, the challenges ahead, and how AI and data science are optimizing solar technologies. Tune in for insights on the future of solar power, and don't forget to like, share, and subscribe!

Additional materials: www.superdatascience.com/804

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Solar power now provides 6% of the world's electricity, thanks to rapid growth. Host Jon Krohn discusses the factors driving this rise, the challenges ahead, and how AI and data science are optimizing solar technologies. Tune in for insights on the future of solar power, and don't forget to like, share, and subscribe!</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/804">www.superdatascience.com/804</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>837</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[d8be30d4-4b22-11ef-8802-afe5989d9968]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1322199031.mp3?updated=1721980151" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>803: How to Thrive in Your (Data Science) Career, with Daliana Liu</title>
      <description>Daliana Liu is a big name in data science teaching, and she has always been generous in sharing everything she knows about getting a job in data science. In this episode, she continues to extend her generosity, helping listeners define their approach to achieving a fulfilling career in data science and tech.

This episode is brought to you by AWS Inferentia and AWS Trainium, by Babbel, the science-backed language-learning platform, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• Common career challenges for data scientists [34:57]
• Advice for people who don’t know where to go in their career [48:05]
• How to build resilience and protect against Imposter Syndrome [1:06:23]
• Skills that data scientists should develop today [1:39:17]
• The future of the data science and AI job market [1:46:55]

Additional materials: www.superdatascience.com/803</description>
      <pubDate>Tue, 23 Jul 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/252e7b68-48d0-11ef-a70d-27bd0d9dd388/image/297310b9605f2f51c3cedf0e6b3287ba.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Daliana Liu is a big name in data science teaching, and she has always been generous in sharing everything she knows about getting a job in data science. In this episode, she continues to extend her generosity, helping listeners define their approach to achieving a fulfilling career in data science and tech.</itunes:subtitle>
      <itunes:summary>Daliana Liu is a big name in data science teaching, and she has always been generous in sharing everything she knows about getting a job in data science. In this episode, she continues to extend her generosity, helping listeners define their approach to achieving a fulfilling career in data science and tech.

This episode is brought to you by AWS Inferentia and AWS Trainium, by Babbel, the science-backed language-learning platform, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• Common career challenges for data scientists [34:57]
• Advice for people who don’t know where to go in their career [48:05]
• How to build resilience and protect against Imposter Syndrome [1:06:23]
• Skills that data scientists should develop today [1:39:17]
• The future of the data science and AI job market [1:46:55]

Additional materials: www.superdatascience.com/803</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Daliana Liu is a big name in data science teaching, and she has always been generous in sharing everything she knows about getting a job in data science. In this episode, she continues to extend her generosity, helping listeners define their approach to achieving a fulfilling career in data science and tech.</p><p><br></p><p>This episode is brought to you by <a href="https://go.aws/3zWS0au">AWS Inferentia</a> and <a href="https://go.aws/3ycV6K0">AWS Trainium</a>, by <a href="https://www.babbel.com/superdata">Babbel</a>, the science-backed language-learning platform, and by <a href="https://www.gurobi.com/personas/optimization-for-data-scientists">Gurobi</a>, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• Common career challenges for data scientists [34:57]</p><p>• Advice for people who don’t know where to go in their career [48:05]</p><p>• How to build resilience and protect against Imposter Syndrome [1:06:23]</p><p>• Skills that data scientists should develop today [1:39:17]</p><p>• The future of the data science and AI job market [1:46:55]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/803">www.superdatascience.com/803</a></p>]]>
      </content:encoded>
      <itunes:duration>6883</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[252e7b68-48d0-11ef-a70d-27bd0d9dd388]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6565536137.mp3?updated=1722969545" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>802: In Case You Missed It in June 2024</title>
      <description>How to grab investor interest with your AI startup idea, revisiting algorithms, and helping practitioners ensure AI safety with regulatory frameworks and beyond: This month, you missed a whole bunch of great interviews. But don’t worry, Jon Krohn is here to recap all the best bits for you!

Additional materials: www.superdatascience.com/802

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 19 Jul 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/5600211c-45f4-11ef-bd01-6b97376d8794/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How to grab investor interest with your AI startup idea, revisiting algorithms, and helping practitioners ensure AI safety with regulatory frameworks and beyond: This month, you missed a whole bunch of great interviews. But don’t worry, Jon Krohn is here to recap all the best bits for you!</itunes:subtitle>
      <itunes:summary>How to grab investor interest with your AI startup idea, revisiting algorithms, and helping practitioners ensure AI safety with regulatory frameworks and beyond: This month, you missed a whole bunch of great interviews. But don’t worry, Jon Krohn is here to recap all the best bits for you!

Additional materials: www.superdatascience.com/802

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How to grab investor interest with your AI startup idea, revisiting algorithms, and helping practitioners ensure AI safety with regulatory frameworks and beyond: This month, you missed a whole bunch of great interviews. But don’t worry, Jon Krohn is here to recap all the best bits for you!</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/802">www.superdatascience.com/802</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1435</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[5600211c-45f4-11ef-bd01-6b97376d8794]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4016382550.mp3?updated=1721410419" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>801: Merged LLMs Are Smaller And More Capable, with Arcee AI's Mark McQuade and Charles Goddard</title>
      <description>Merged LLMs are the future, and we’re exploring how with Mark McQuade and Charles Goddard from Arcee AI on this episode with Jon Krohn. Learn how to combine multiple LLMs without adding bulk, train more efficiently, and dive into different expert approaches. Discover how smaller models can outperform larger ones and leverage open-source projects for big enterprise wins. This episode is packed with must-know insights for data scientists and ML engineers. Don’t miss out!

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• Explanation of Charles' job title: Chief of Frontier Research [03:31]
• Model Merging Technology combining multiple LLMs without increasing size [04:43]
• Using MergeKit for model merging [14:49]
• Evolutionary Model Merging using evolutionary algorithms [22:55]
• Commercial applications and success stories [28:10]
• Comparison of Mixture of Experts (MoE) vs. Mixture of Agents [37:57]
• Spectrum Project for efficient training by targeting specific modules [54:28]
• Future of Small Language Models (SLMs) and their advantages [01:01:22]

Additional materials: www.superdatascience.com/801</description>
      <pubDate>Tue, 16 Jul 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fabb3396-4364-11ef-bbd8-477f049e6c1a/image/1d828a62b30409b5258071deaad6a5ee.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Merged LLMs are the future, and we’re exploring how with Mark McQuade and Charles Goddard from Arcee AI on this episode with Jon Krohn. Learn how to combine multiple LLMs without adding bulk, train more efficiently, and dive into different expert approaches. Discover how smaller models can outperform larger ones and leverage open-source projects for big enterprise wins. This episode is packed with must-know insights for data scientists and ML engineers. Don’t miss out!</itunes:subtitle>
      <itunes:summary>Merged LLMs are the future, and we’re exploring how with Mark McQuade and Charles Goddard from Arcee AI on this episode with Jon Krohn. Learn how to combine multiple LLMs without adding bulk, train more efficiently, and dive into different expert approaches. Discover how smaller models can outperform larger ones and leverage open-source projects for big enterprise wins. This episode is packed with must-know insights for data scientists and ML engineers. Don’t miss out!

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• Explanation of Charles' job title: Chief of Frontier Research [03:31]
• Model Merging Technology combining multiple LLMs without increasing size [04:43]
• Using MergeKit for model merging [14:49]
• Evolutionary Model Merging using evolutionary algorithms [22:55]
• Commercial applications and success stories [28:10]
• Comparison of Mixture of Experts (MoE) vs. Mixture of Agents [37:57]
• Spectrum Project for efficient training by targeting specific modules [54:28]
• Future of Small Language Models (SLMs) and their advantages [01:01:22]

Additional materials: www.superdatascience.com/801</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Merged LLMs are the future, and we’re exploring how with Mark McQuade and Charles Goddard from Arcee AI on this episode with Jon Krohn. Learn how to combine multiple LLMs without adding bulk, train more efficiently, and dive into different expert approaches. Discover how smaller models can outperform larger ones and leverage open-source projects for big enterprise wins. This episode is packed with must-know insights for data scientists and ML engineers. Don’t miss out!</p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• Explanation of Charles' job title: Chief of Frontier Research [03:31]</p><p>• Model Merging Technology combining multiple LLMs without increasing size [04:43]</p><p>• Using MergeKit for model merging [14:49]</p><p>• Evolutionary Model Merging using evolutionary algorithms [22:55]</p><p>• Commercial applications and success stories [28:10]</p><p>• Comparison of Mixture of Experts (MoE) vs. Mixture of Agents [37:57]</p><p>• Spectrum Project for efficient training by targeting specific modules [54:28]</p><p>• Future of Small Language Models (SLMs) and their advantages [01:01:22]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/801">www.superdatascience.com/801</a></p>]]>
      </content:encoded>
      <itunes:duration>4625</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[fabb3396-4364-11ef-bbd8-477f049e6c1a]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4895207113.mp3?updated=1721128946" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>800: A Transformative Century of Technological Progress, with Annie P.</title>
      <description>The SuperDataScience Podcast is celebrating its 800th episode! Host Jon Krohn speaks to his grandmother, Annie, about growing up at a time when so many technologies we take for granted today were yet to be developed. Listen in to hear Annie’s experience of the changes in technology across 94 years and how she and her family fared in 1940s Ukraine with no electricity or running water.

Additional materials: www.superdatascience.com/800</description>
      <pubDate>Fri, 12 Jul 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2f3236fa-5496-11ef-b86f-6b2ebd0d9c13/image/d27c1ee06d962c5aafe5c858bd4e8cbf.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>The SuperDataScience Podcast is celebrating its 800th episode! Host Jon Krohn speaks to his grandmother, Annie, about growing up at a time when so many technologies we take for granted today were yet to be developed. Listen in to hear Annie’s experience of the changes in technology across 94 years and how she and her family fared in 1940s Ukraine with no electricity or running water.</itunes:subtitle>
      <itunes:summary>The SuperDataScience Podcast is celebrating its 800th episode! Host Jon Krohn speaks to his grandmother, Annie, about growing up at a time when so many technologies we take for granted today were yet to be developed. Listen in to hear Annie’s experience of the changes in technology across 94 years and how she and her family fared in 1940s Ukraine with no electricity or running water.

Additional materials: www.superdatascience.com/800</itunes:summary>
      <content:encoded>
        <![CDATA[<p>The SuperDataScience Podcast is celebrating its 800th episode! Host Jon Krohn speaks to his grandmother, Annie, about growing up at a time when so many technologies we take for granted today were yet to be developed. Listen in to hear Annie’s experience of the changes in technology across 94 years and how she and her family fared in 1940s Ukraine with no electricity or running water.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/800">www.superdatascience.com/800</a></p>]]>
      </content:encoded>
      <itunes:duration>2617</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[2f3236fa-5496-11ef-b86f-6b2ebd0d9c13]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9690514268.mp3?updated=1723019249" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>799: AGI Could Be Near: Dystopian and Utopian Implications, with Dr. Andrey Kurenkov</title>
      <description>No-code games with GenAI, the creative possibilities of LLMs, and our proximity to AGI: In this episode, Jon Krohn talks to Andrey Kurenkov about what turned him from an AGI skeptic to a positivist. You’ll also hear about his wildly popular podcast “Last Week in AI” and how the NVIDIA-backed startup Astrocade is helping videogame enthusiasts to create their own games through generative AI. A must-listen!

This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• All about The Gradient and Last Week in AI [10:42]
• All about Astrocade and Andrey’s role at the startup [24:35]
• Balancing UX and creative control at Astrocade [42:00]
• The creative possibilities of LLMs [1:04:15]
• The rapid emergence of AGI [1:10:31]

Additional materials: www.superdatascience.com/799</description>
      <pubDate>Tue, 09 Jul 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0e12d134-3eaf-11ef-86b4-dbd54785d403/image/108cb24331f8a4af4e15ce3f95285d42.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>No-code games with GenAI, the creative possibilities of LLMs, and our proximity to AGI: In this episode, Jon Krohn talks to Andrey Kurenkov about what turned him from an AGI skeptic to a positivist. You’ll also hear about his wildly popular podcast “Last Week in AI” and how the NVIDIA-backed startup Astrocade is helping videogame enthusiasts to create their own games through generative AI. A must-listen!</itunes:subtitle>
      <itunes:summary>No-code games with GenAI, the creative possibilities of LLMs, and our proximity to AGI: In this episode, Jon Krohn talks to Andrey Kurenkov about what turned him from an AGI skeptic to a positivist. You’ll also hear about his wildly popular podcast “Last Week in AI” and how the NVIDIA-backed startup Astrocade is helping videogame enthusiasts to create their own games through generative AI. A must-listen!

This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• All about The Gradient and Last Week in AI [10:42]
• All about Astrocade and Andrey’s role at the startup [24:35]
• Balancing UX and creative control at Astrocade [42:00]
• The creative possibilities of LLMs [1:04:15]
• The rapid emergence of AGI [1:10:31]

Additional materials: www.superdatascience.com/799</itunes:summary>
      <content:encoded>
        <![CDATA[<p>No-code games with GenAI, the creative possibilities of LLMs, and our proximity to AGI: In this episode, Jon Krohn talks to Andrey Kurenkov about what turned him from an AGI skeptic to a positivist. You’ll also hear about his wildly popular podcast “Last Week in AI” and how the NVIDIA-backed startup Astrocade is helping videogame enthusiasts to create their own games through generative AI. A must-listen!</p><p><br></p><p>This episode is brought to you by <a href="https://go.aws/3zWS0au">AWS Inferentia</a> and <a href="https://go.aws/3ycV6K0">AWS Trainium</a>. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• All about The Gradient and Last Week in AI [10:42]</p><p>• All about Astrocade and Andrey’s role at the startup [24:35]</p><p>• Balancing UX and creative control at Astrocade [42:00]</p><p>• The creative possibilities of LLMs [1:04:15]</p><p>• The rapid emergence of AGI [1:10:31]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/799">www.superdatascience.com/799</a></p>]]>
      </content:encoded>
      <itunes:duration>6348</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[0e12d134-3eaf-11ef-86b4-dbd54785d403]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6755243673.mp3?updated=1720611005" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>798: Claude 3.5 Sonnet: Frontier Capabilities &amp; Slick New "Artifacts" UI</title>
      <description>Claude 3.5 Sonnet, Anthropic’s newest model, is making waves in the AI community. This mid-size model outshines the larger Claude 3 Opus in tasks like code generation, content creation, and document summarization, and it’s twice as fast. In this episode of The Super Data Science Podcast, Jon Krohn discusses its top-notch performance across benchmarks like MMLU, GPQA, and HumanEval, along with its improved machine vision capabilities. Plus, learn about the new Artifacts UI feature, which makes managing generated content easier by displaying outputs side-by-side with inputs. Tune in to find out why Claude 3.5 Sonnet is setting new standards in AI.
Additional materials: www.superdatascience.com/798
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 05 Jul 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/dd7a5790-3eae-11ef-ac38-2fa76fb5b81d/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Claude 3.5 Sonnet, Anthropic’s newest model, is making waves in the AI community. This mid-size model outshines the larger Claude 3 Opus in tasks like code generation, content creation, and document summarization, and it’s twice as fast. In this episode of The Super Data Science Podcast, Jon Krohn discusses its top-notch performance across benchmarks like MMLU, GPQA, and HumanEval, along with its improved machine vision capabilities. Plus, learn about the new Artifacts UI feature, which makes managing generated content easier by displaying outputs side-by-side with inputs. Tune in to find out why Claude 3.5 Sonnet is setting new standards in AI.</itunes:subtitle>
      <itunes:summary>Claude 3.5 Sonnet, Anthropic’s newest model, is making waves in the AI community. This mid-size model outshines the larger Claude 3 Opus in tasks like code generation, content creation, and document summarization, and it’s twice as fast. In this episode of The Super Data Science Podcast, Jon Krohn discusses its top-notch performance across benchmarks like MMLU, GPQA, and HumanEval, along with its improved machine vision capabilities. Plus, learn about the new Artifacts UI feature, which makes managing generated content easier by displaying outputs side-by-side with inputs. Tune in to find out why Claude 3.5 Sonnet is setting new standards in AI.
Additional materials: www.superdatascience.com/798
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Claude 3.5 Sonnet, Anthropic’s newest model, is making waves in the AI community. This mid-size model outshines the larger Claude 3 Opus in tasks like code generation, content creation, and document summarization, and it’s twice as fast. In this episode of The Super Data Science Podcast, Jon Krohn discusses its top-notch performance across benchmarks like MMLU, GPQA, and HumanEval, along with its improved machine vision capabilities. Plus, learn about the new Artifacts UI feature, which makes managing generated content easier by displaying outputs side-by-side with inputs. Tune in to find out why Claude 3.5 Sonnet is setting new standards in AI.</p><p>Additional materials: <a href="https://www.superdatascience.com/798">www.superdatascience.com/798</a></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>910</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[dd7a5790-3eae-11ef-ac38-2fa76fb5b81d]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9196922965.mp3?updated=1720610923" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>797: Deep Learning Classics and Trends, with Dr. Rosanne Liu</title>
      <description>Dr. Rosanne Liu, Research Scientist at Google DeepMind and co-founder of the ML Collective, shares her journey and the mission to democratize AI research. She explains her pioneering work on intrinsic dimensions in deep learning and the advantages of curiosity-driven research. Jon and Dr. Liu also explore the complexities of understanding powerful AI models, the specifics of character-aware text encoding, and the significant impact of diversity, equity, and inclusion in the ML community. With publications in NeurIPS, ICLR, ICML, and Science, Dr. Liu offers her expertise and vision for the future of machine learning.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• How the ML Collective came about [03:31]
• The concept of a failure CV [16:12]
• ML Collective research topics [19:03]
• How Dr. Liu's work on the “intrinsic dimension” of deep learning models inspired the now-standard LoRA approach to fine-tuning LLMs [21:28]
• The pros and cons of curiosity-driven vs. goal-driven ML research [29:08]
• Discussion on Dr. Liu's research and papers [33:17]
• Character-aware vs. character-blind text encoding [54:59]
• The positive impacts of diversity, equity, and inclusion in the ML community [57:51]

Additional materials: www.superdatascience.com/797</description>
      <pubDate>Tue, 02 Jul 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c447a2f0-3eae-11ef-b036-372e0e779eec/image/2df73d83363c0627b2fc7a78bf7f5c03.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Dr. Rosanne Liu, Research Scientist at Google DeepMind and co-founder of the ML Collective, shares her journey and the mission to democratize AI research. She explains her pioneering work on intrinsic dimensions in deep learning and the advantages of curiosity-driven research. Jon and Dr. Liu also explore the complexities of understanding powerful AI models, the specifics of character-aware text encoding, and the significant impact of diversity, equity, and inclusion in the ML community. With publications in NeurIPS, ICLR, ICML, and Science, Dr. Liu offers her expertise and vision for the future of machine learning.</itunes:subtitle>
      <itunes:summary>Dr. Rosanne Liu, Research Scientist at Google DeepMind and co-founder of the ML Collective, shares her journey and the mission to democratize AI research. She explains her pioneering work on intrinsic dimensions in deep learning and the advantages of curiosity-driven research. Jon and Dr. Liu also explore the complexities of understanding powerful AI models, the specifics of character-aware text encoding, and the significant impact of diversity, equity, and inclusion in the ML community. With publications in NeurIPS, ICLR, ICML, and Science, Dr. Liu offers her expertise and vision for the future of machine learning.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• How the ML Collective came about [03:31]
• The concept of a failure CV [16:12]
• ML Collective research topics [19:03]
• How Dr. Liu's work on the “intrinsic dimension” of deep learning models inspired the now-standard LoRA approach to fine-tuning LLMs [21:28]
• The pros and cons of curiosity-driven vs. goal-driven ML research [29:08]
• Discussion on Dr. Liu's research and papers [33:17]
• Character-aware vs. character-blind text encoding [54:59]
• The positive impacts of diversity, equity, and inclusion in the ML community [57:51]

Additional materials: www.superdatascience.com/797</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Dr. Rosanne Liu, Research Scientist at Google DeepMind and co-founder of the ML Collective, shares her journey and the mission to democratize AI research. She explains her pioneering work on intrinsic dimensions in deep learning and the advantages of curiosity-driven research. Jon and Dr. Liu also explore the complexities of understanding powerful AI models, the specifics of character-aware text encoding, and the significant impact of diversity, equity, and inclusion in the ML community. With publications in NeurIPS, ICLR, ICML, and Science, Dr. Liu offers her expertise and vision for the future of machine learning.</p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• How the ML Collective came about [03:31]</p><p>• The concept of a failure CV [16:12]</p><p>• ML Collective research topics [19:03]</p><p>• How Dr. Liu's work on the “intrinsic dimension” of deep learning models inspired the now-standard LoRA approach to fine-tuning LLMs [21:28]</p><p>• The pros and cons of curiosity-driven vs. goal-driven ML research [29:08]</p><p>• Discussion on Dr. Liu's research and papers [33:17]</p><p>• Character-aware vs. character-blind text encoding [54:59]</p><p>• The positive impacts of diversity, equity, and inclusion in the ML community [57:51]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/797">www.superdatascience.com/797</a></p>]]>
      </content:encoded>
      <itunes:duration>4199</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[c447a2f0-3eae-11ef-b036-372e0e779eec]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1703263766.mp3?updated=1720610881" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>796: Earth's Coming Population Collapse and How AI Can Help, with Simon Kuestenmacher</title>
      <description>Want to feel optimistic about your day? In this Friday episode, Simon Kuestenmacher talks to Jon Krohn about demography: What it is, why it’s so important, and why its forecasts should give us reason to hope for a better future. In an increasingly globalized world, and with an aging population in countries with the biggest GDPs, demography is more valuable than ever.

Additional materials: www.superdatascience.com/796

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 28 Jun 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2c00d72c-3455-11ef-bad7-e332b378eb03/image/85c32e8b1c2cc3f7b37bc227f82db2ec.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Want to feel optimistic about your day? In this Friday episode, Simon Kuestenmacher talks to Jon Krohn about demography: What it is, why it’s so important, and why its forecasts should give us reason to hope for a better future. In an increasingly globalized world, and with an aging population in countries with the biggest GDPs, demography is more valuable than ever.</itunes:subtitle>
      <itunes:summary>Want to feel optimistic about your day? In this Friday episode, Simon Kuestenmacher talks to Jon Krohn about demography: What it is, why it’s so important, and why its forecasts should give us reason to hope for a better future. In an increasingly globalized world, and with an aging population in countries with the biggest GDPs, demography is more valuable than ever.

Additional materials: www.superdatascience.com/796

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Want to feel optimistic about your day? In this Friday episode, Simon Kuestenmacher talks to Jon Krohn about demography: What it is, why it’s so important, and why its forecasts should give us reason to hope for a better future. In an increasingly globalized world, and with an aging population in countries with the biggest GDPs, demography is more valuable than ever.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/796">www.superdatascience.com/796</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2565</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[2c00d72c-3455-11ef-bad7-e332b378eb03]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8496525620.mp3?updated=1719472889" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>795: Fast-Evolving Data and AI Regulatory Frameworks, with Dr. Gina Guillaume-Joseph</title>
      <description>Gina Guillaume-Joseph talks to Jon Krohn about the data and regulatory frameworks set to transform the AI industry and why that’s important to anyone working with data. This episode offers a solid path to understanding AI regulation’s past, present and future. Gina walks listeners through the AI Bill of Rights, the NIST AI Risk Framework and the MITRE ATLAS threat model.

This episode is brought to you by AWS Inferentia and AWS Trainium, by Crawlbase, the ultimate data crawling platform, and by Babbel, the science-backed language-learning platform. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• What “responsible AI” means [08:14]
• Why the federal government should be behind AI regulation [12:22]
• The US vs EU on AI regulation [18:46]
• About the AI Bill of Rights [26:14]
• About MITRE and the MITRE Atlas [37:19]
• What a systems engineer does [54:11]

Additional materials: www.superdatascience.com/795</description>
      <pubDate>Tue, 25 Jun 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6572fc3a-3453-11ef-84c9-2b3cbd302444/image/2d3abb0327edfd6430d866dcd2b4b884.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Gina Guillaume-Joseph talks to Jon Krohn about the data and regulatory frameworks set to transform the AI industry and why that’s important to anyone working with data. This episode offers a solid path to understanding AI regulation’s past, present and future. Gina walks listeners through the AI Bill of Rights, the NIST AI Risk Framework and the MITRE ATLAS threat model.</itunes:subtitle>
      <itunes:summary>Gina Guillaume-Joseph talks to Jon Krohn about the data and regulatory frameworks set to transform the AI industry and why that’s important to anyone working with data. This episode offers a solid path to understanding AI regulation’s past, present and future. Gina walks listeners through the AI Bill of Rights, the NIST AI Risk Framework and the MITRE ATLAS threat model.

This episode is brought to you by AWS Inferentia and AWS Trainium, by Crawlbase, the ultimate data crawling platform, and by Babbel, the science-backed language-learning platform. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• What “responsible AI” means [08:14]
• Why the federal government should be behind AI regulation [12:22]
• The US vs EU on AI regulation [18:46]
• About the AI Bill of Rights [26:14]
• About MITRE and the MITRE Atlas [37:19]
• What a systems engineer does [54:11]

Additional materials: www.superdatascience.com/795</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Gina Guillaume-Joseph talks to Jon Krohn about the data and regulatory frameworks set to transform the AI industry and why that’s important to anyone working with data. This episode offers a solid path to understanding AI regulation’s past, present and future. Gina walks listeners through the AI Bill of Rights, the NIST AI Risk Framework and the MITRE ATLAS threat model.</p><p><br></p><p>This episode is brought to you by <a href="https://go.aws/3zWS0au">AWS Inferentia</a> and <a href="https://go.aws/3ycV6K0">AWS Trainium</a>, by <a href="https://crawlbase.com/">Crawlbase</a>, the ultimate data crawling platform, and by <a href="https://www.babbel.com/superdata">Babbel</a>, the science-backed language-learning platform. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• What “responsible AI” means [08:14]</p><p>• Why the federal government should be behind AI regulation [12:22]</p><p>• The US vs EU on AI regulation [18:46]</p><p>• About the AI Bill of Rights [26:14]</p><p>• About MITRE and the MITRE Atlas [37:19]</p><p>• What a systems engineer does [54:11]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/795">www.superdatascience.com/795</a></p>]]>
      </content:encoded>
      <itunes:duration>4060</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[6572fc3a-3453-11ef-84c9-2b3cbd302444]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8251998141.mp3?updated=1722969641" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>794: Exciting (and Frightening!) Trends in Open-Source AI</title>
      <description>Trends in open-source AI: Join Jon Krohn and a panel of data science icons as they discuss the most exciting and concerning developments in open-source AI. Hear insights from Drew Conway, Jared Lander, Emily Zabor, and JD Long on the transformative potential of AI and its future impact.

Additional materials: www.superdatascience.com/794

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</description>
      <pubDate>Fri, 21 Jun 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a1c5acf6-3452-11ef-afa8-531ba5533b99/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Trends in open-source AI: Join Jon Krohn and a panel of data science icons as they discuss the most exciting and concerning developments in open-source AI. Hear insights from Drew Conway, Jared Lander, Emily Zabor, and JD Long on the transformative potential of AI and its future impact.</itunes:subtitle>
      <itunes:summary>Trends in open-source AI: Join Jon Krohn and a panel of data science icons as they discuss the most exciting and concerning developments in open-source AI. Hear insights from Drew Conway, Jared Lander, Emily Zabor, and JD Long on the transformative potential of AI and its future impact.

Additional materials: www.superdatascience.com/794

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Trends in open-source AI: Join Jon Krohn and a panel of data science icons as they discuss the most exciting and concerning developments in open-source AI. Hear insights from Drew Conway, Jared Lander, Emily Zabor, and JD Long on the transformative potential of AI and its future impact.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/794">www.superdatascience.com/794</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>662</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[a1c5acf6-3452-11ef-afa8-531ba5533b99]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8046728271.mp3?updated=1719471799" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>793: Bayesian Methods and Applications, with Alexandre Andorra</title>
      <description>Bayesian methods take the spotlight in this episode with Alex Andorra, co-founder of PyMC Labs, and Jon Krohn. Learn how Bayesian techniques handle tough problems, make the most of prior knowledge, and work wonders with limited data. Alex and Jon break down essentials like PyMC, PyStan, and NumPyro libraries, show how to boost model efficiency with PyTensor, and talk about using ArviZ for top-notch diagnostics and visualizations. Plus, get into advanced modeling with Gaussian Processes.

This episode is brought to you by Crawlbase, the ultimate data crawling platform. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• Practical introduction to Bayesian statistics [04:54]
• Definition and significance of epistemology [17:52]
• Explanation of PyMC and Monte Carlo methods [27:57]
• How to get started with Bayesian modeling and PyMC [34:26]
• PyMC Labs and its consulting services [50:50]
• ArviZ for post-modeling diagnostics and visualization [01:02:23]
• Gaussian processes and their applications [01:09:02]

Additional materials: www.superdatascience.com/793</description>
      <pubDate>Tue, 18 Jun 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/449f141c-2d5f-11ef-a1d8-23c4140ba066/image/9088360ec807abbc87cfed1ec8ed80ed.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Bayesian methods take the spotlight in this episode with Alex Andorra, co-founder of PyMC Labs, and Jon Krohn. Learn how Bayesian techniques handle tough problems, make the most of prior knowledge, and work wonders with limited data. Alex and Jon break down essentials like PyMC, PyStan, and NumPyro libraries, show how to boost model efficiency with PyTensor, and talk about using ArviZ for top-notch diagnostics and visualizations. Plus, get into advanced modeling with Gaussian Processes.</itunes:subtitle>
      <itunes:summary>Bayesian methods take the spotlight in this episode with Alex Andorra, co-founder of PyMC Labs, and Jon Krohn. Learn how Bayesian techniques handle tough problems, make the most of prior knowledge, and work wonders with limited data. Alex and Jon break down essentials like PyMC, PyStan, and NumPyro libraries, show how to boost model efficiency with PyTensor, and talk about using ArviZ for top-notch diagnostics and visualizations. Plus, get into advanced modeling with Gaussian Processes.

This episode is brought to you by Crawlbase, the ultimate data crawling platform. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• Practical introduction to Bayesian statistics [04:54]
• Definition and significance of epistemology [17:52]
• Explanation of PyMC and Monte Carlo methods [27:57]
• How to get started with Bayesian modeling and PyMC [34:26]
• PyMC Labs and its consulting services [50:50]
• ArviZ for post-modeling diagnostics and visualization [01:02:23]
• Gaussian processes and their applications [01:09:02]

Additional materials: www.superdatascience.com/793</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Bayesian methods take the spotlight in this episode with Alex Andorra, co-founder of PyMC Labs, and Jon Krohn. Learn how Bayesian techniques handle tough problems, make the most of prior knowledge, and work wonders with limited data. Alex and Jon break down essentials like PyMC, PyStan, and NumPyro libraries, show how to boost model efficiency with PyTensor, and talk about using ArviZ for top-notch diagnostics and visualizations. Plus, get into advanced modeling with Gaussian Processes.</p><p><br></p><p>This episode is brought to you by <a href="https://crawlbase.com/">Crawlbase</a>, the ultimate data crawling platform. Interested in sponsoring a SuperDataScience Podcast episode? Email <a href="mailto:natalie@superdatascience.com">natalie@superdatascience.com</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• Practical introduction to Bayesian statistics [04:54]</p><p>• Definition and significance of epistemology [17:52]</p><p>• Explanation of PyMC and Monte Carlo methods [27:57]</p><p>• How to get started with Bayesian modeling and PyMC [34:26]</p><p>• PyMC Labs and its consulting services [50:50]</p><p>• ArviZ for post-modeling diagnostics and visualization [01:02:23]</p><p>• Gaussian processes and their applications [01:09:02]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/793">www.superdatascience.com/793</a></p>]]>
      </content:encoded>
      <itunes:duration>5600</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[449f141c-2d5f-11ef-a1d8-23c4140ba066]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2448682385.mp3?updated=1718707567" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>792: In Case You Missed It in May 2024</title>
      <description>Jon Krohn shares his favorite clips from May. Hear how Navdeep Martin is spearheading a company to tackle the climate crisis, why Sol Rashidi and Demetrios Brinkmann find nailing job titles so necessary in the fast-paced industries of tech and AI, and get the latest on embeddings with Luis Serrano.

Additional materials: www.superdatascience.com/792

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 14 Jun 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6131f442-28a9-11ef-a3a1-6b56d560c3ca/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn shares his favorite clips from May. Hear how Navdeep Martin is spearheading a company to tackle the climate crisis, why Sol Rashidi and Demetrios Brinkmann find nailing job titles so necessary in the fast-paced industries of tech and AI, and get the latest on embeddings with Luis Serrano.</itunes:subtitle>
      <itunes:summary>Jon Krohn shares his favorite clips from May. Hear how Navdeep Martin is spearheading a company to tackle the climate crisis, why Sol Rashidi and Demetrios Brinkmann find nailing job titles so necessary in the fast-paced industries of tech and AI, and get the latest on embeddings with Luis Serrano.

Additional materials: www.superdatascience.com/792

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn shares his favorite clips from May. Hear how Navdeep Martin is spearheading a company to tackle the climate crisis, why Sol Rashidi and Demetrios Brinkmann find nailing job titles so necessary in the fast-paced industries of tech and AI, and get the latest on embeddings with Luis Serrano.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/792">www.superdatascience.com/792</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1362</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[6131f442-28a9-11ef-a3a1-6b56d560c3ca]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6017590611.mp3?updated=1718189642" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>791: Reinforcement Learning from Human Feedback (RLHF), with Dr. Nathan Lambert</title>
      <description>Reinforcement learning through human feedback (RLHF) has come a long way. In this episode, research scientist Nathan Lambert talks to Jon Krohn about the technique’s origins of the technique. He also walks through other ways to fine-tune LLMs, and how he believes generative AI might democratize education.

This episode is brought to you by AWS Inferentia (go.aws/3zWS0au) and AWS Trainium (go.aws/3ycV6K0), and Crawlbase (crawlbase.com), the ultimate data crawling platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• Why it is important that AI is open [03:13]
• The efficacy and scalability of direct preference optimization [07:32]
• Robotics and LLMs [14:32]
• The challenges to aligning reward models with human preferences [23:00]
• How to make sure AI’s decision making on preferences reflect desirable behavior [28:52]
• Why Nathan believes AI is closer to alchemy than science [37:38]

Additional materials: www.superdatascience.com/791</description>
      <pubDate>Tue, 11 Jun 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/21cf16b0-2735-11ef-87a6-cb1dd5bd21e9/image/23774e408fb265d91c8998fad6c4e3cc.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Reinforcement learning through human feedback (RLHF) has come a long way. In this episode, research scientist Nathan Lambert talks to Jon Krohn about the technique’s origins of the technique. He also walks through other ways to fine-tune LLMs, and how he believes generative AI might democratize education.</itunes:subtitle>
      <itunes:summary>Reinforcement learning through human feedback (RLHF) has come a long way. In this episode, research scientist Nathan Lambert talks to Jon Krohn about the technique’s origins of the technique. He also walks through other ways to fine-tune LLMs, and how he believes generative AI might democratize education.

This episode is brought to you by AWS Inferentia (go.aws/3zWS0au) and AWS Trainium (go.aws/3ycV6K0), and Crawlbase (crawlbase.com), the ultimate data crawling platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• Why it is important that AI is open [03:13]
• The efficacy and scalability of direct preference optimization [07:32]
• Robotics and LLMs [14:32]
• The challenges to aligning reward models with human preferences [23:00]
• How to make sure AI’s decision making on preferences reflect desirable behavior [28:52]
• Why Nathan believes AI is closer to alchemy than science [37:38]

Additional materials: www.superdatascience.com/791</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Reinforcement learning through human feedback (RLHF) has come a long way. In this episode, research scientist Nathan Lambert talks to Jon Krohn about the technique’s origins of the technique. He also walks through other ways to fine-tune LLMs, and how he believes generative AI might democratize education.</p><p><br></p><p>This episode is brought to you by AWS Inferentia (<a href="https://go.aws/3zWS0au">go.aws/3zWS0au</a>) and AWS Trainium (<a href="https://go.aws/3ycV6K0">go.aws/3ycV6K0</a>), and Crawlbase (<a href="https://crawlbase.com">crawlbase.com</a>), the ultimate data crawling platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• Why it is important that AI is open [03:13]</p><p>• The efficacy and scalability of direct preference optimization [07:32]</p><p>• Robotics and LLMs [14:32]</p><p>• The challenges to aligning reward models with human preferences [23:00]</p><p>• How to make sure AI’s decision making on preferences reflect desirable behavior [28:52]</p><p>• Why Nathan believes AI is closer to alchemy than science [37:38]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/791">www.superdatascience.com/791</a></p>]]>
      </content:encoded>
      <itunes:duration>3430</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[21cf16b0-2735-11ef-87a6-cb1dd5bd21e9]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6560599540.mp3?updated=1718029776" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>790: Open-Source Libraries for Data Science at the New York R Conference</title>
      <description>The experts reveal their top open-source R libraries with us live from the New York R Conference! This Super Data Science Podcast episode features an exclusive panel with data science trailblazers Drew Conway, Jared Lander, Emily Zabor, and JD Long. They share their favorite R libraries and valuable insights to enhance your data science practice.

Additional materials: www.superdatascience.com/790

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 07 Jun 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/d346c590-24ac-11ef-a532-efc0337e9ebe/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>The experts reveal their top open-source R libraries with us live from the New York R Conference! This Super Data Science Podcast episode features an exclusive panel with data science trailblazers Drew Conway, Jared Lander, Emily Zabor, and JD Long. They share their favorite R libraries and valuable insights to enhance your data science practice.</itunes:subtitle>
      <itunes:summary>The experts reveal their top open-source R libraries with us live from the New York R Conference! This Super Data Science Podcast episode features an exclusive panel with data science trailblazers Drew Conway, Jared Lander, Emily Zabor, and JD Long. They share their favorite R libraries and valuable insights to enhance your data science practice.

Additional materials: www.superdatascience.com/790

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>The experts reveal their top open-source R libraries with us live from the New York R Conference! This Super Data Science Podcast episode features an exclusive panel with data science trailblazers Drew Conway, Jared Lander, Emily Zabor, and JD Long. They share their favorite R libraries and valuable insights to enhance your data science practice.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/790">www.superdatascience.com/790</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>445</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[d346c590-24ac-11ef-a532-efc0337e9ebe]]></guid>
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    </item>
    <item>
      <title>789: ML for Wind-Powered Energy Generation, with Dr. Jason Yosinski</title>
      <description>Machine Learning for Wind Energy is front and center in this episode as Jon Krohn is joined by Dr. Jason Yosinski, CEO of Windscape AI. Dr. Yosinski brings to light the latest ML advancements sparking significant changes in renewable energy. Tune in for a comprehensive review of these cutting-edge technologies and their expansive impact on the industry and the environment's well-being.

This episode is brought to you by Crawlbase, the ultimate data crawling platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• Enhancing predictability in wind energy with ML [04:52]
• Data utilization from wind turbines by energy providers [11:41]
• Jason's journey into wind energy [17:55]
• Landing the right startup idea [22:47]
• Visualizing neural networks with the Deep Vis Toolbox [31:29]
• Extreme event forecasting at Uber vs. nowcasting at Windscape AI [45:13]
• Discoveries from Loss Change Allocation research [47:48]
• Engaging with Jason's ML Collective [59:46]
• Traits of successful AI entrepreneurs [1:10:26]

Additional materials: www.superdatascience.com/789</description>
      <pubDate>Tue, 04 Jun 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6bde1d44-2255-11ef-9035-f3ffa536e9fe/image/ea7693435b8bd81a1285805ce9f8075d.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Machine Learning for Wind Energy is front and center in this episode as Jon Krohn is joined by Dr. Jason Yosinski, CEO of Windscape AI. Dr. Yosinski brings to light the latest ML advancements sparking significant changes in renewable energy. Tune in for a comprehensive review of these cutting-edge technologies and their expansive impact on the industry and the environment's well-being.</itunes:subtitle>
      <itunes:summary>Machine Learning for Wind Energy is front and center in this episode as Jon Krohn is joined by Dr. Jason Yosinski, CEO of Windscape AI. Dr. Yosinski brings to light the latest ML advancements sparking significant changes in renewable energy. Tune in for a comprehensive review of these cutting-edge technologies and their expansive impact on the industry and the environment's well-being.

This episode is brought to you by Crawlbase, the ultimate data crawling platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• Enhancing predictability in wind energy with ML [04:52]
• Data utilization from wind turbines by energy providers [11:41]
• Jason's journey into wind energy [17:55]
• Landing the right startup idea [22:47]
• Visualizing neural networks with the Deep Vis Toolbox [31:29]
• Extreme event forecasting at Uber vs. nowcasting at Windscape AI [45:13]
• Discoveries from Loss Change Allocation research [47:48]
• Engaging with Jason's ML Collective [59:46]
• Traits of successful AI entrepreneurs [1:10:26]

Additional materials: www.superdatascience.com/789</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Machine Learning for Wind Energy is front and center in this episode as Jon Krohn is joined by Dr. Jason Yosinski, CEO of Windscape AI. Dr. Yosinski brings to light the latest ML advancements sparking significant changes in renewable energy. Tune in for a comprehensive review of these cutting-edge technologies and their expansive impact on the industry and the environment's well-being.</p><p><br></p><p>This episode is brought to you by <a href="https://crawlbase.com">Crawlbase</a>, the ultimate data crawling platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• Enhancing predictability in wind energy with ML [04:52]</p><p>• Data utilization from wind turbines by energy providers [11:41]</p><p>• Jason's journey into wind energy [17:55]</p><p>• Landing the right startup idea [22:47]</p><p>• Visualizing neural networks with the Deep Vis Toolbox [31:29]</p><p>• Extreme event forecasting at Uber vs. nowcasting at Windscape AI [45:13]</p><p>• Discoveries from Loss Change Allocation research [47:48]</p><p>• Engaging with Jason's ML Collective [59:46]</p><p>• Traits of successful AI entrepreneurs [1:10:26]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/789">www.superdatascience.com/789</a></p>]]>
      </content:encoded>
      <itunes:duration>4489</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[6bde1d44-2255-11ef-9035-f3ffa536e9fe]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3003968158.mp3?updated=1717493876" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>788: Multi-Agent Systems: How Teams of LLMs Excel at Complex Tasks</title>
      <description>Multi-agent systems could mark a significant turning point in generative AI. From mastering increasingly complex tasks to getting LLMs to collaborate, in this Five-Minute Friday, Jon Krohn discusses the systems that are working to bridge the remaining gaps left by the latest large language models (LLMs).

Additional materials: www.superdatascience.com/788

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 31 May 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/93be3e98-1e77-11ef-a06c-f7bcfdb75336/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Multi-agent systems could mark a significant turning point in generative AI. From mastering increasingly complex tasks to getting LLMs to collaborate, in this Five-Minute Friday, Jon Krohn discusses the systems that are working to bridge the remaining gaps left by the latest large language models (LLMs).</itunes:subtitle>
      <itunes:summary>Multi-agent systems could mark a significant turning point in generative AI. From mastering increasingly complex tasks to getting LLMs to collaborate, in this Five-Minute Friday, Jon Krohn discusses the systems that are working to bridge the remaining gaps left by the latest large language models (LLMs).

Additional materials: www.superdatascience.com/788

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Multi-agent systems could mark a significant turning point in generative AI. From mastering increasingly complex tasks to getting LLMs to collaborate, in this Five-Minute Friday, Jon Krohn discusses the systems that are working to bridge the remaining gaps left by the latest large language models (LLMs).</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/788">www.superdatascience.com/788</a></p><p><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>607</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[93be3e98-1e77-11ef-a06c-f7bcfdb75336]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5337981958.mp3?updated=1717068740" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>787: MLOps: The Job and The Key Tools, with Demetrios Brinkmann</title>
      <description>MLOps, how to build an online community, and tools for scaling LLMs: In this episode, Demetrios Brinkmann speaks to Jon Krohn about the similarities and differences between LLMOps, MLOps and DevOps, and why this should matter to companies looking to hire such engineers. You will also hear how to get involved in the MLOps community wherever you are in the world, and how you can start developing great products with the available tools.

This episode is brought to you by AWS Inferentia (go.aws/3zWS0au) and AWS Trainium (go.aws/3ycV6K0). Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• What MLOps is [03:51]
• About LLMOps [12:06]
• About LlamaIndex and Ollama [18:29]
• Insights from Demetrios’ MLOps survey [20:49]
• Guidance for using third-party APIs [40:18]
• Recommendations for building an online community in tech and AI [47:07]

Additional materials: www.superdatascience.com/787</description>
      <pubDate>Tue, 28 May 2024 11:00:00 -0000</pubDate>
      <itunes:title>787: MLOps: The Job and The Key Tools, with Demetrios Brinkmann</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/5eaa1880-1e77-11ef-8645-1f9dad37e629/image/cad3af325929c020aa732b4aefe9d45e.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>MLOps, how to build an online community, and tools for scaling LLMs: In this episode, Demetrios Brinkmann speaks to Jon Krohn about the similarities and differences between LLMOps, MLOps and DevOps, and why this should matter to companies looking to hire such engineers. You will also hear how to get involved in the MLOps community wherever you are in the world, and how you can start developing great products with the available tools.</itunes:subtitle>
      <itunes:summary>MLOps, how to build an online community, and tools for scaling LLMs: In this episode, Demetrios Brinkmann speaks to Jon Krohn about the similarities and differences between LLMOps, MLOps and DevOps, and why this should matter to companies looking to hire such engineers. You will also hear how to get involved in the MLOps community wherever you are in the world, and how you can start developing great products with the available tools.

This episode is brought to you by AWS Inferentia (go.aws/3zWS0au) and AWS Trainium (go.aws/3ycV6K0). Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• What MLOps is [03:51]
• About LLMOps [12:06]
• About LlamaIndex and Ollama [18:29]
• Insights from Demetrios’ MLOps survey [20:49]
• Guidance for using third-party APIs [40:18]
• Recommendations for building an online community in tech and AI [47:07]

Additional materials: www.superdatascience.com/787</itunes:summary>
      <content:encoded>
        <![CDATA[<p>MLOps, how to build an online community, and tools for scaling LLMs: In this episode, Demetrios Brinkmann speaks to Jon Krohn about the similarities and differences between LLMOps, MLOps and DevOps, and why this should matter to companies looking to hire such engineers. You will also hear how to get involved in the MLOps community wherever you are in the world, and how you can start developing great products with the available tools.</p><p><br></p><p>This episode is brought to you by AWS Inferentia (<a href="https://go.aws/3zWS0au">go.aws/3zWS0au</a>) and AWS Trainium (<a href="https://go.aws/3ycV6K0">go.aws/3ycV6K0</a>). Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• What MLOps is [03:51]</p><p>• About LLMOps [12:06]</p><p>• About LlamaIndex and Ollama [18:29]</p><p>• Insights from Demetrios’ MLOps survey [20:49]</p><p>• Guidance for using third-party APIs [40:18]</p><p>• Recommendations for building an online community in tech and AI [47:07]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/787">www.superdatascience.com/787</a></p>]]>
      </content:encoded>
      <itunes:duration>3378</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[5eaa1880-1e77-11ef-8645-1f9dad37e629]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9195533207.mp3?updated=1717068651" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>786: The Six Keys to Data Scientists' Success, with Kirill Eremenko</title>
      <description>Learn about the six keys to data science success as host Jon Krohn welcomes back Kirill Eremenko, the mastermind behind SuperDataScience. Kirill shares his top insights on data science careers, from building strong portfolios to leveraging mentors and hands-on labs. With over 2.7 million students, his advice is a must-hear for aspiring and experienced data scientists alike.Additional materials: www.superdatascience.com/786Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 24 May 2024 11:00:00 -0000</pubDate>
      <itunes:title>786: The Six Keys to Data Scientists' Success, with Kirill Eremenko</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f378f7ee-1c31-11ef-9765-a3227d6793ef/image/3cf3f599e3585941e6e0d610fb7f48a6.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Learn about the six keys to data science success as host Jon Krohn welcomes back Kirill Eremenko, the mastermind behind SuperDataScience. Kirill shares his top insights on data science careers, from building strong portfolios to leveraging mentors and hands-on labs. With over 2.7 million students, his advice is a must-hear for aspiring and experienced data scientists alike.Additional materials: www.superdatascience.com/786Interested in sponsoring a SuperDataScience Podcast episode? Visit pass...</itunes:subtitle>
      <itunes:summary>Learn about the six keys to data science success as host Jon Krohn welcomes back Kirill Eremenko, the mastermind behind SuperDataScience. Kirill shares his top insights on data science careers, from building strong portfolios to leveraging mentors and hands-on labs. With over 2.7 million students, his advice is a must-hear for aspiring and experienced data scientists alike.Additional materials: www.superdatascience.com/786Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Learn about the six keys to data science success as host Jon Krohn welcomes back Kirill Eremenko, the mastermind behind SuperDataScience. Kirill shares his top insights on data science careers, from building strong portfolios to leveraging mentors and hands-on labs. With over 2.7 million students, his advice is a must-hear for aspiring and experienced data scientists alike.<br><br>Additional materials: <a href="https://www.superdatascience.com/786">www.superdatascience.com/786</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1641</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-15122749]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4306274681.mp3?updated=1716818934" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>785: Math, Quantum ML and Language Embeddings, with Dr. Luis Serrano</title>
      <description>Dr. Luis Serrano from the Serrano Academy reveals how to make Math and Quantum ML accessible, tackles the challenges of teaching A.I. to beginners, and explores the power of embeddings in enterprise applications. Explore the future of Quantum Machine Learning and the latest trends in AI, including multimodality and autonomous systems.This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How math and AI can be made easy to understand [05:21]• The three major categories of learners [16:21]• Why embeddings are the most important component of LLMs [26:19]• How semantic search differs from a traditional keyword search [29:57]• The most exciting emerging application areas for AI [42:41]• The promising application areas for Quantum Machine Learning [49:18]Additional materials: www.superdatascience.com/785</description>
      <pubDate>Tue, 21 May 2024 11:00:00 -0000</pubDate>
      <itunes:title>785: Math, Quantum ML and Language Embeddings, with Dr. Luis Serrano</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f3ee08b8-1c31-11ef-9765-3f8176564e44/image/a18ed0ccf312d14bbd76207b1b0093d4.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Dr. Luis Serrano from the Serrano Academy reveals how to make Math and Quantum ML accessible, tackles the challenges of teaching A.I. to beginners, and explores the power of embeddings in enterprise applications. Explore the future of Quantum Machine Learning and the latest trends in AI, including multimodality and autonomous systems.This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatasc...</itunes:subtitle>
      <itunes:summary>Dr. Luis Serrano from the Serrano Academy reveals how to make Math and Quantum ML accessible, tackles the challenges of teaching A.I. to beginners, and explores the power of embeddings in enterprise applications. Explore the future of Quantum Machine Learning and the latest trends in AI, including multimodality and autonomous systems.This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How math and AI can be made easy to understand [05:21]• The three major categories of learners [16:21]• Why embeddings are the most important component of LLMs [26:19]• How semantic search differs from a traditional keyword search [29:57]• The most exciting emerging application areas for AI [42:41]• The promising application areas for Quantum Machine Learning [49:18]Additional materials: www.superdatascience.com/785</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Dr. Luis Serrano from the Serrano Academy reveals how to make Math and Quantum ML accessible, tackles the challenges of teaching A.I. to beginners, and explores the power of embeddings in enterprise applications. Explore the future of Quantum Machine Learning and the latest trends in AI, including multimodality and autonomous systems.<br><br>This episode is brought to you by <a href="https://go.aws/3zWS0au">AWS Inferentia</a> and <a href="https://go.aws/3ycV6K0">AWS Trainium</a>. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• How math and AI can be made easy to understand [05:21]<br>• The three major categories of learners [16:21]<br>• Why embeddings are the most important component of LLMs [26:19]<br>• How semantic search differs from a traditional keyword search [29:57]<br>• The most exciting emerging application areas for AI [42:41]<br>• The promising application areas for Quantum Machine Learning [49:18]<br><br>Additional materials: <a href="https://www.superdatascience.com/785">www.superdatascience.com/785</a></p>]]>
      </content:encoded>
      <itunes:duration>3966</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-15106788]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1455418038.mp3?updated=1716818935" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>784: Aligning Large Language Models, with Sinan Ozdemir</title>
      <description>Aligning LLMs: How can we teach pre-trained LLMs to hold a conversation and learn new information from each other? This was where Sinan Ozdemir began his investigation into aligning LLMs. In this episode, he talks to Jon Krohn about the limitations of definitions for LLMs, training LLMs, and whether it is possible to train an LLM without alignment.Additional materials: www.superdatascience.com/784Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 17 May 2024 11:00:00 -0000</pubDate>
      <itunes:title>784: Aligning Large Language Models, with Sinan Ozdemir</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f45ddf94-1c31-11ef-9765-23507995069c/image/0acc5932fb568a5c10fa973cceb09da6.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Aligning LLMs: How can we teach pre-trained LLMs to hold a conversation and learn new information from each other? This was where Sinan Ozdemir began his investigation into aligning LLMs. In this episode, he talks to Jon Krohn about the limitations of definitions for LLMs, training LLMs, and whether it is possible to train an LLM without alignment.Additional materials: www.superdatascience.com/784Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascien...</itunes:subtitle>
      <itunes:summary>Aligning LLMs: How can we teach pre-trained LLMs to hold a conversation and learn new information from each other? This was where Sinan Ozdemir began his investigation into aligning LLMs. In this episode, he talks to Jon Krohn about the limitations of definitions for LLMs, training LLMs, and whether it is possible to train an LLM without alignment.Additional materials: www.superdatascience.com/784Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Aligning LLMs: How can we teach pre-trained LLMs to hold a conversation and learn new information from each other? This was where Sinan Ozdemir began his investigation into aligning LLMs. In this episode, he talks to Jon Krohn about the limitations of definitions for LLMs, training LLMs, and whether it is possible to train an LLM without alignment.<br><br>Additional materials: <a href="https://www.superdatascience.com/784">www.superdatascience.com/784</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>578</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-15072469]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3967466186.mp3?updated=1716818936" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>783: Generative A.I. for Solar Power Installation, with Navdeep Martin</title>
      <description>Recent advances in GenAI, how to tackle the climate crisis with advanced technology, and addressing the knowledge gap in understanding AI: Jon Krohn speaks to Flypower co-founder and CEO Navdeep Martin about the advances made in GenAI, from products to applications, and how we might use AI to tackle climate change.This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How the Washington Post’s recommendation systems work [03:29]• Why product leaders make great CEOs [10:36]• How Flypower uses GenAI to tackle climate change [22:13]• How Flypower identifies its customers’ most pertinent questions [30:03]• How AI might come to tackle climate change [36:52]• How to mitigate hallucination in AI models [41:04]Additional materials: www.superdatascience.com/783</description>
      <pubDate>Tue, 14 May 2024 11:00:00 -0000</pubDate>
      <itunes:title>783: Generative A.I. for Solar Power Installation, with Navdeep Martin</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f50e848e-1c31-11ef-9765-97941de4454d/image/34695027a92bee17c6e1706919ad919d.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Recent advances in GenAI, how to tackle the climate crisis with advanced technology, and addressing the knowledge gap in understanding AI: Jon Krohn speaks to Flypower co-founder and CEO Navdeep Martin about the advances made in GenAI, from products to applications, and how we might use AI to tackle climate change.This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorshi...</itunes:subtitle>
      <itunes:summary>Recent advances in GenAI, how to tackle the climate crisis with advanced technology, and addressing the knowledge gap in understanding AI: Jon Krohn speaks to Flypower co-founder and CEO Navdeep Martin about the advances made in GenAI, from products to applications, and how we might use AI to tackle climate change.This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How the Washington Post’s recommendation systems work [03:29]• Why product leaders make great CEOs [10:36]• How Flypower uses GenAI to tackle climate change [22:13]• How Flypower identifies its customers’ most pertinent questions [30:03]• How AI might come to tackle climate change [36:52]• How to mitigate hallucination in AI models [41:04]Additional materials: www.superdatascience.com/783</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Recent advances in GenAI, how to tackle the climate crisis with advanced technology, and addressing the knowledge gap in understanding AI: Jon Krohn speaks to Flypower co-founder and CEO Navdeep Martin about the advances made in GenAI, from products to applications, and how we might use AI to tackle climate change.<br><br>This episode is brought to you by <a href="https://go.aws/3zWS0au">AWS Inferentia</a> and <a href="https://go.aws/3ycV6K0">AWS Trainium</a>. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• How the Washington Post’s recommendation systems work [03:29]<br>• Why product leaders make great CEOs [10:36]<br>• How Flypower uses GenAI to tackle climate change [22:13]<br>• How Flypower identifies its customers’ most pertinent questions [30:03]<br>• How AI might come to tackle climate change [36:52]<br>• How to mitigate hallucination in AI models [41:04]<br><br>Additional materials: <a href="https://www.superdatascience.com/783">www.superdatascience.com/783</a></p>]]>
      </content:encoded>
      <itunes:duration>3951</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-15065118]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3554597315.mp3?updated=1716818937" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>782: In Case You Missed It in April 2024</title>
      <description>Hear Jon Krohn’s favorite five clips from his April interviews. Chief Scientist at Posit PBC Hadley Wickham on the subtle differences between Python and R. Professor of Business Analytics Barrett Thomas walks through the variables that companies should consider when using drones or any other tech to improve their business operations and bottom line. Aleksa Gordić, Founder of Runa AI believes an overhaul of the current educational system is long overdue. Bernard Marr discusses the future of GenAI and its impact on the world of work. And SuperDataScience founder Kirill Eremenko gives a lively workshop on gradient boosting. Additional materials: www.superdatascience.com/782Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 10 May 2024 11:00:00 -0000</pubDate>
      <itunes:title>782: In Case You Missed It in April 2024</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f58838f6-1c31-11ef-9765-efa1352835d9/image/26c95160ab288fa1fbd4bbdb63fb5fb5.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Hear Jon Krohn’s favorite five clips from his April interviews. Chief Scientist at Posit PBC Hadley Wickham on the subtle differences between Python and R. Professor of Business Analytics Barrett Thomas walks through the variables that companies should consider when using drones or any other tech to improve their business operations and bottom line. Aleksa Gordić, Founder of Runa AI believes an overhaul of the current educational system is long overdue. Bernard Marr discusses the future of Ge...</itunes:subtitle>
      <itunes:summary>Hear Jon Krohn’s favorite five clips from his April interviews. Chief Scientist at Posit PBC Hadley Wickham on the subtle differences between Python and R. Professor of Business Analytics Barrett Thomas walks through the variables that companies should consider when using drones or any other tech to improve their business operations and bottom line. Aleksa Gordić, Founder of Runa AI believes an overhaul of the current educational system is long overdue. Bernard Marr discusses the future of GenAI and its impact on the world of work. And SuperDataScience founder Kirill Eremenko gives a lively workshop on gradient boosting. Additional materials: www.superdatascience.com/782Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Hear Jon Krohn’s favorite five clips from his April interviews. Chief Scientist at Posit PBC Hadley Wickham on the subtle differences between Python and R. Professor of Business Analytics Barrett Thomas walks through the variables that companies should consider when using drones or any other tech to improve their business operations and bottom line. Aleksa Gordić, Founder of Runa AI believes an overhaul of the current educational system is long overdue. Bernard Marr discusses the future of GenAI and its impact on the world of work. And SuperDataScience founder Kirill Eremenko gives a lively workshop on gradient boosting. <br><br>Additional materials: <a href="https://www.superdatascience.com/782">www.superdatascience.com/782</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2453</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-15035094]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7882525650.mp3?updated=1716818937" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>781: Ensuring Successful Enterprise AI Deployments, with Sol Rashidi</title>
      <description>Sol Rashidi, a distinguished data executive who has served in C-suite roles at Fortune 100 companies, joins Jon Krohn to delve into successful enterprise AI strategies and the reasons behind the high turnover among Chief Data Officers. This episode provides an in-depth look at selecting AI projects that succeed and understanding the strategic value of patents in various industries. Benefit from Sol’s extensive experience and practical advice on navigating complex corporate challenges.This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How CDOs and related roles have such high turnover because [09:40]• The importance of building relationships in AI projects [17:01]• How Sol's book "The AI Survival Guide" came about [20:44]• How high-criticality, low-complexity AI projects are the ones with the highest probability of success [27:11]• How Enterprise data security issues can be resolved with technologies like Protopia’s stained-glass data-masking solution [36:10]• Why having great data engineers is essential [47:57]• The value of patents [51:45]Additional materials: www.superdatascience.com/781</description>
      <pubDate>Tue, 07 May 2024 11:00:00 -0000</pubDate>
      <itunes:title>781: Ensuring Successful Enterprise AI Deployments, with Sol Rashidi</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f5f6b970-1c31-11ef-9765-a39ff4e5899a/image/a49b984c96d6295da973caef113c32e8.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Sol Rashidi, a distinguished data executive who has served in C-suite roles at Fortune 100 companies, joins Jon Krohn to delve into successful enterprise AI strategies and the reasons behind the high turnover among Chief Data Officers. This episode provides an in-depth look at selecting AI projects that succeed and understanding the strategic value of patents in various industries. Benefit from Sol’s extensive experience and practical advice on navigating complex corporate challenges.This epi...</itunes:subtitle>
      <itunes:summary>Sol Rashidi, a distinguished data executive who has served in C-suite roles at Fortune 100 companies, joins Jon Krohn to delve into successful enterprise AI strategies and the reasons behind the high turnover among Chief Data Officers. This episode provides an in-depth look at selecting AI projects that succeed and understanding the strategic value of patents in various industries. Benefit from Sol’s extensive experience and practical advice on navigating complex corporate challenges.This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How CDOs and related roles have such high turnover because [09:40]• The importance of building relationships in AI projects [17:01]• How Sol's book "The AI Survival Guide" came about [20:44]• How high-criticality, low-complexity AI projects are the ones with the highest probability of success [27:11]• How Enterprise data security issues can be resolved with technologies like Protopia’s stained-glass data-masking solution [36:10]• Why having great data engineers is essential [47:57]• The value of patents [51:45]Additional materials: www.superdatascience.com/781</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Sol Rashidi, a distinguished data executive who has served in C-suite roles at Fortune 100 companies, joins Jon Krohn to delve into successful enterprise AI strategies and the reasons behind the high turnover among Chief Data Officers. This episode provides an in-depth look at selecting AI projects that succeed and understanding the strategic value of patents in various industries. Benefit from Sol’s extensive experience and practical advice on navigating complex corporate challenges.<br><br>This episode is brought to you by <a href="https://go.aws/3zWS0au">AWS Inferentia</a> and <a href="https://go.aws/3ycV6K0">AWS Trainium</a>. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• How CDOs and related roles have such high turnover because [09:40]<br>• The importance of building relationships in AI projects [17:01]<br>• How Sol's book "The AI Survival Guide" came about [20:44]<br>• How high-criticality, low-complexity AI projects are the ones with the highest probability of success [27:11]<br>• How Enterprise data security issues can be resolved with technologies like Protopia’s stained-glass data-masking solution [36:10]<br>• Why having great data engineers is essential [47:57]<br>• The value of patents [51:45]<br><br>Additional materials: <a href="https://www.superdatascience.com/781">www.superdatascience.com/781</a></p>]]>
      </content:encoded>
      <itunes:duration>3888</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-15023542]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8669629648.mp3?updated=1716818938" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>780: How to Become a Data Scientist, with Dr. Adam Ross Nelson</title>
      <description>Want to become a data scientist? Jon and Adam discuss the key steps to becoming a data scientist, with a focus on developing portfolio projects. Hear about the 10 project ideas Adam recommends in his book to help you stand out in the data science community.Additional materials: www.superdatascience.com/780Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 03 May 2024 11:00:00 -0000</pubDate>
      <itunes:title>780: How to Become a Data Scientist, with Dr. Adam Ross Nelson</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f6729004-1c31-11ef-9765-13ed141d6b3d/image/4224d1dcf7a0292b8de0a91844b1e2fc.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Want to become a data scientist? Jon and Adam discuss the key steps to becoming a data scientist, with a focus on developing portfolio projects. Hear about the 10 project ideas Adam recommends in his book to help you stand out in the data science community.Additional materials: www.superdatascience.com/780Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:subtitle>
      <itunes:summary>Want to become a data scientist? Jon and Adam discuss the key steps to becoming a data scientist, with a focus on developing portfolio projects. Hear about the 10 project ideas Adam recommends in his book to help you stand out in the data science community.Additional materials: www.superdatascience.com/780Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Want to become a data scientist? Jon and Adam discuss the key steps to becoming a data scientist, with a focus on developing portfolio projects. Hear about the 10 project ideas Adam recommends in his book to help you stand out in the data science community.<br><br>Additional materials: <a href="https://www.superdatascience.com/780">www.superdatascience.com/780</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>503</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14999077]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2114741637.mp3?updated=1716818942" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>779: The Tidyverse of Essential R Libraries and their Python Analogues, with Dr. Hadley Wickham</title>
      <description>Tidyverse, ggplot2, and the secret to a tech company’s longevity: Hadley Wickham talks to Jon Krohn about Posit’s rebrand, Tidyverse and why it needs to be in every data scientist’s toolkit, and why getting your hands dirty with open-source projects can be so lucrative for your career.This episode is brought to you by Intel and HPE Ezmeral Software. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• All about the Tidyverse [04:46]• Hadley’s favorite R libraries [17:10]• The goal of Posit [30:29]• On bringing multiple programming languages together [36:02]• The principles for a long-lasting tech company [52:10]• How Hadley developed ggplot2 [55:24]• How to contribute to the open-source community [1:05:43]Additional materials: www.superdatascience.com/779</description>
      <pubDate>Tue, 30 Apr 2024 11:00:00 -0000</pubDate>
      <itunes:title>779: The Tidyverse of Essential R Libraries and their Python Analogues, with Dr. Hadley Wickham</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fa5cabc8-1c31-11ef-9765-9fc6f1193350/image/1d520f324032556e941c15e8db530ba3.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Tidyverse, ggplot2, and the secret to a tech company’s longevity: Hadley Wickham talks to Jon Krohn about Posit’s rebrand, Tidyverse and why it needs to be in every data scientist’s toolkit, and why getting your hands dirty with open-source projects can be so lucrative for your career.This episode is brought to you by Intel and HPE Ezmeral Software. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode y...</itunes:subtitle>
      <itunes:summary>Tidyverse, ggplot2, and the secret to a tech company’s longevity: Hadley Wickham talks to Jon Krohn about Posit’s rebrand, Tidyverse and why it needs to be in every data scientist’s toolkit, and why getting your hands dirty with open-source projects can be so lucrative for your career.This episode is brought to you by Intel and HPE Ezmeral Software. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• All about the Tidyverse [04:46]• Hadley’s favorite R libraries [17:10]• The goal of Posit [30:29]• On bringing multiple programming languages together [36:02]• The principles for a long-lasting tech company [52:10]• How Hadley developed ggplot2 [55:24]• How to contribute to the open-source community [1:05:43]Additional materials: www.superdatascience.com/779</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Tidyverse, ggplot2, and the secret to a tech company’s longevity: Hadley Wickham talks to Jon Krohn about Posit’s rebrand, Tidyverse and why it needs to be in every data scientist’s toolkit, and why getting your hands dirty with open-source projects can be so lucrative for your career.<br><br>This episode is brought to you by <a href="https://bit.ly/hpeintel">Intel and HPE Ezmeral Software</a>. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• All about the Tidyverse [04:46]<br>• Hadley’s favorite R libraries [17:10]<br>• The goal of Posit [30:29]<br>• On bringing multiple programming languages together [36:02]<br>• The principles for a long-lasting tech company [52:10]<br>• How Hadley developed ggplot2 [55:24]<br>• How to contribute to the open-source community [1:05:43]<br><br>Additional materials: <a href="https://www.superdatascience.com/779">www.superdatascience.com/779</a></p>]]>
      </content:encoded>
      <itunes:duration>5279</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14981570]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4676829669.mp3?updated=1716818949" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>778: Mixtral 8x22B: SOTA Open-Source LLM Capabilities at a Fraction of the Compute</title>
      <description>Mixtral 8x22B is the focus on this week's Five-Minute Friday. Jon Krohn examines how this model from French AI startup Mistral leverages its mixture-of-experts architecture to redefine efficiency and specialization in AI-powered tasks. Tune in to learn about its performance benchmarks and the transformative potential of its open-source license.Additional materials: www.superdatascience.com/778Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 26 Apr 2024 11:00:00 -0000</pubDate>
      <itunes:title>778: Mixtral 8x22B: SOTA Open-Source LLM Capabilities at a Fraction of the Compute</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fcd9defc-1c31-11ef-9765-eb958ee9475b/image/26c95160ab288fa1fbd4bbdb63fb5fb5.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Mixtral 8x22B is the focus on this week's Five-Minute Friday. Jon Krohn examines how this model from French AI startup Mistral leverages its mixture-of-experts architecture to redefine efficiency and specialization in AI-powered tasks. Tune in to learn about its performance benchmarks and the transformative potential of its open-source license.Additional materials: www.superdatascience.com/778Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience f...</itunes:subtitle>
      <itunes:summary>Mixtral 8x22B is the focus on this week's Five-Minute Friday. Jon Krohn examines how this model from French AI startup Mistral leverages its mixture-of-experts architecture to redefine efficiency and specialization in AI-powered tasks. Tune in to learn about its performance benchmarks and the transformative potential of its open-source license.Additional materials: www.superdatascience.com/778Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Mixtral 8x22B is the focus on this week's Five-Minute Friday. Jon Krohn examines how this model from French AI startup Mistral leverages its mixture-of-experts architecture to redefine efficiency and specialization in AI-powered tasks. Tune in to learn about its performance benchmarks and the transformative potential of its open-source license.<br><br>Additional materials: <a href="https://www.superdatascience.com/778">www.superdatascience.com/778</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>412</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14947710]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5713431189.mp3?updated=1716818953" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>777: Generative AI in Practice, with Bernard Marr</title>
      <description>Generative AI is reshaping our world, and Bernard Marr, world-renowned futurist and best-selling author, joins Jon Krohn to guide us through this transformation. In this episode, Bernard shares his insights on how AI is transforming industries, revolutionizing daily life, and addressing global challenges. With his extensive experience advising top organizations worldwide, he also examines the ethical considerations of AI deployment.This episode is brought to you by Intel and HPE Ezmeral Software. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How Generative AI will transform industries [03:55]• The evolution of Generative AI [10:19]• How will Generative AI impact daily life [16:52]• The ethical challenges of AI [18:55]• How corporations can harness Generative AI for collaboration [24:36]• Industries that will be impacted by Generative AI [32:20]• How Sora-like Generative AI systems will create highly immersive entertainment [42:16]• How Generative AI could unlock 99% of business data [53:34]Additional materials: www.superdatascience.com/777</description>
      <pubDate>Tue, 23 Apr 2024 11:00:00 -0000</pubDate>
      <itunes:title>777: Generative AI in Practice, with Bernard Marr</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fd5044de-1c31-11ef-9765-8f692cb848a7/image/b919d3dbd5109ad3630bd36815370187.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Generative AI is reshaping our world, and Bernard Marr, world-renowned futurist and best-selling author, joins Jon Krohn to guide us through this transformation. In this episode, Bernard shares his insights on how AI is transforming industries, revolutionizing daily life, and addressing global challenges. With his extensive experience advising top organizations worldwide, he also examines the ethical considerations of AI deployment.This episode is brought to you by Intel and HPE Ezmeral Softw...</itunes:subtitle>
      <itunes:summary>Generative AI is reshaping our world, and Bernard Marr, world-renowned futurist and best-selling author, joins Jon Krohn to guide us through this transformation. In this episode, Bernard shares his insights on how AI is transforming industries, revolutionizing daily life, and addressing global challenges. With his extensive experience advising top organizations worldwide, he also examines the ethical considerations of AI deployment.This episode is brought to you by Intel and HPE Ezmeral Software. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How Generative AI will transform industries [03:55]• The evolution of Generative AI [10:19]• How will Generative AI impact daily life [16:52]• The ethical challenges of AI [18:55]• How corporations can harness Generative AI for collaboration [24:36]• Industries that will be impacted by Generative AI [32:20]• How Sora-like Generative AI systems will create highly immersive entertainment [42:16]• How Generative AI could unlock 99% of business data [53:34]Additional materials: www.superdatascience.com/777</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Generative AI is reshaping our world, and Bernard Marr, world-renowned futurist and best-selling author, joins Jon Krohn to guide us through this transformation. In this episode, Bernard shares his insights on how AI is transforming industries, revolutionizing daily life, and addressing global challenges. With his extensive experience advising top organizations worldwide, he also examines the ethical considerations of AI deployment.<br><br>This episode is brought to you by <a href="https://bit.ly/hpeintel">Intel and HPE Ezmeral Software</a>. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• How Generative AI will transform industries [03:55]<br>• The evolution of Generative AI [10:19]<br>• How will Generative AI impact daily life [16:52]<br>• The ethical challenges of AI [18:55]<br>• How corporations can harness Generative AI for collaboration [24:36]<br>• Industries that will be impacted by Generative AI [32:20]<br>• How Sora-like Generative AI systems will create highly immersive entertainment [42:16]<br>• How Generative AI could unlock 99% of business data [53:34]<br><br>Additional materials: <a href="https://www.superdatascience.com/777">www.superdatascience.com/777</a></p>]]>
      </content:encoded>
      <itunes:duration>4129</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3896364378.mp3?updated=1716818950" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>776: Deep Utopia: AI Could Solve All Human Problems in Our Lifetime</title>
      <description>What are the risks of AI progressing beyond a point of no return? What do we stand to gain? On this Five-Minute Friday, Jon Krohn talks ‘books’ as he outlines two nonfiction works on AI and futurism by Oxford philosopher Nick Bostrom. Listen to a breakdown of Deep Utopia and Superintelligence in this episode.Additional materials: www.superdatascience.com/776Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 19 Apr 2024 11:00:00 -0000</pubDate>
      <itunes:title>776: Deep Utopia: AI Could Solve All Human Problems in Our Lifetime</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fdc542b6-1c31-11ef-9765-8b88802461ef/image/26c95160ab288fa1fbd4bbdb63fb5fb5.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What are the risks of AI progressing beyond a point of no return? What do we stand to gain? On this Five-Minute Friday, Jon Krohn talks ‘books’ as he outlines two nonfiction works on AI and futurism by Oxford philosopher Nick Bostrom. Listen to a breakdown of Deep Utopia and Superintelligence in this episode.Additional materials: www.superdatascience.com/776Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:subtitle>
      <itunes:summary>What are the risks of AI progressing beyond a point of no return? What do we stand to gain? On this Five-Minute Friday, Jon Krohn talks ‘books’ as he outlines two nonfiction works on AI and futurism by Oxford philosopher Nick Bostrom. Listen to a breakdown of Deep Utopia and Superintelligence in this episode.Additional materials: www.superdatascience.com/776Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What are the risks of AI progressing beyond a point of no return? What do we stand to gain? On this Five-Minute Friday, Jon Krohn talks ‘books’ as he outlines two nonfiction works on AI and futurism by Oxford philosopher Nick Bostrom. Listen to a breakdown of <em>Deep Utopia</em> and <em>Superintelligence </em>in this episode.<br><br>Additional materials: <a href="https://www.superdatascience.com/776">www.superdatascience.com/776</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>456</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14911536]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6841792680.mp3?updated=1716818951" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>775: What will humans do when machines are vastly more intelligent? With Aleksa Gordić</title>
      <description>Tech entrepreneurship, artificial superintelligence, and the future of education: Aleksa Gordić speaks to Jon Krohn about his strategies for self-directed learning, the traits that help people succeed in moving from big tech to entrepreneurship, and the social impact of artificial superintelligence.This episode is brought to you by Ready Tensor, where innovation meets reproducibility. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How to motivate yourself to become a tech entrepreneur [17:02]• Aleksa’s checklist for the perfect CTO [35:00]• Potential sustainable solutions for LLMs [41:51]• The next major developments in AI and tech [48:29]• How hobbies have a knock-on effect for a person’s career [1:01:53]• How and why formal education needs to change [1:09:24]Additional materials: www.superdatascience.com/775</description>
      <pubDate>Tue, 16 Apr 2024 11:00:00 -0000</pubDate>
      <itunes:title>775: What will humans do when machines are vastly more intelligent? With Aleksa Gordić</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fe331c64-1c31-11ef-9765-9361f2d51d23/image/c9ba579065e56e1dba9acb59c3e6c770.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Tech entrepreneurship, artificial superintelligence, and the future of education: Aleksa Gordić speaks to Jon Krohn about his strategies for self-directed learning, the traits that help people succeed in moving from big tech to entrepreneurship, and the social impact of artificial superintelligence.This episode is brought to you by Ready Tensor, where innovation meets reproducibility. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for spons...</itunes:subtitle>
      <itunes:summary>Tech entrepreneurship, artificial superintelligence, and the future of education: Aleksa Gordić speaks to Jon Krohn about his strategies for self-directed learning, the traits that help people succeed in moving from big tech to entrepreneurship, and the social impact of artificial superintelligence.This episode is brought to you by Ready Tensor, where innovation meets reproducibility. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How to motivate yourself to become a tech entrepreneur [17:02]• Aleksa’s checklist for the perfect CTO [35:00]• Potential sustainable solutions for LLMs [41:51]• The next major developments in AI and tech [48:29]• How hobbies have a knock-on effect for a person’s career [1:01:53]• How and why formal education needs to change [1:09:24]Additional materials: www.superdatascience.com/775</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Tech entrepreneurship, artificial superintelligence, and the future of education: Aleksa Gordić speaks to Jon Krohn about his strategies for self-directed learning, the traits that help people succeed in moving from big tech to entrepreneurship, and the social impact of artificial superintelligence.<br><br>This episode is brought to you by <a href="https://www.readytensor.ai/">Ready Tensor</a>, where innovation meets reproducibility. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• How to motivate yourself to become a tech entrepreneur [17:02]<br>• Aleksa’s checklist for the perfect CTO [35:00]<br>• Potential sustainable solutions for LLMs [41:51]<br>• The next major developments in AI and tech [48:29]<br>• How hobbies have a knock-on effect for a person’s career [1:01:53]<br>• How and why formal education needs to change [1:09:24]<br><br>Additional materials: <a href="https://www.superdatascience.com/775">www.superdatascience.com/775</a></p>]]>
      </content:encoded>
      <itunes:duration>5801</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14897725]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4698471344.mp3?updated=1716818952" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>774: RFM-1 Gives Robots Human-like Reasoning and Conversation Abilities</title>
      <description>Covariant's RFM-1: Jon Krohn explores the future of AI-driven robotics with RFM-1, a groundbreaking robot arm designed by Covariant and discussed by A.I. roboticist Pieter Abbeel. Explore how this innovation aims to merge digital intelligence with the physical world, promising a new era of efficiency and autonomy.Additional materials: www.superdatascience.com/774Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 12 Apr 2024 11:00:00 -0000</pubDate>
      <itunes:title>774: RFM-1 Gives Robots Human-like Reasoning and Conversation Abilities</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fe9a46a0-1c31-11ef-9765-ebb626a95e5a/image/26c95160ab288fa1fbd4bbdb63fb5fb5.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Covariant's RFM-1: Jon Krohn explores the future of AI-driven robotics with RFM-1, a groundbreaking robot arm designed by Covariant and discussed by A.I. roboticist Pieter Abbeel. Explore how this innovation aims to merge digital intelligence with the physical world, promising a new era of efficiency and autonomy.Additional materials: www.superdatascience.com/774Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:subtitle>
      <itunes:summary>Covariant's RFM-1: Jon Krohn explores the future of AI-driven robotics with RFM-1, a groundbreaking robot arm designed by Covariant and discussed by A.I. roboticist Pieter Abbeel. Explore how this innovation aims to merge digital intelligence with the physical world, promising a new era of efficiency and autonomy.Additional materials: www.superdatascience.com/774Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Covariant's RFM-1: Jon Krohn explores the future of AI-driven robotics with RFM-1, a groundbreaking robot arm designed by Covariant and discussed by A.I. roboticist Pieter Abbeel. Explore how this innovation aims to merge digital intelligence with the physical world, promising a new era of efficiency and autonomy.<br><br>Additional materials: <a href="https://www.superdatascience.com/774">www.superdatascience.com/774</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>772</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14875783]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6881132964.mp3?updated=1716818952" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>773: Deep Reinforcement Learning for Maximizing Profits, with Prof. Barrett Thomas</title>
      <description>Dr. Barrett Thomas, an award-winning Research Professor at the University of Iowa, explores the intricacies of Markov decision processes and their connection to Deep Reinforcement Learning. Discover how these concepts are applied in operations research to enhance business efficiency and drive innovations in same-day delivery and autonomous transportation systems.This episode is brought to you by Ready Tensor, where innovation meets reproducibility. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Barrett's start in operations logistics [02:27]• Concorde Solver and the traveling salesperson problem [09:59]• Cross-function approximation explained [19:13]• How Markov decision processes relate to deep reinforcement learning [26:08]• Understanding policy in decision-making contexts [33:40]• Revolutionizing supply chains and transportation with aerial drones [46:47]• Barrett’s career evolution: past changes and future prospects [52:19]Additional materials: www.superdatascience.com/773</description>
      <pubDate>Tue, 09 Apr 2024 11:00:00 -0000</pubDate>
      <itunes:title>773: Deep Reinforcement Learning for Maximizing Profits, with Prof. Barrett Thomas</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ffb190a2-1c31-11ef-9765-d32b4d956e52/image/029d4a685c8cd468a74f93a15d8d72ac.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Dr. Barrett Thomas, an award-winning Research Professor at the University of Iowa, explores the intricacies of Markov decision processes and their connection to Deep Reinforcement Learning. Discover how these concepts are applied in operations research to enhance business efficiency and drive innovations in same-day delivery and autonomous transportation systems.This episode is brought to you by Ready Tensor, where innovation meets reproducibility. Interested in sponsoring a SuperDataScience ...</itunes:subtitle>
      <itunes:summary>Dr. Barrett Thomas, an award-winning Research Professor at the University of Iowa, explores the intricacies of Markov decision processes and their connection to Deep Reinforcement Learning. Discover how these concepts are applied in operations research to enhance business efficiency and drive innovations in same-day delivery and autonomous transportation systems.This episode is brought to you by Ready Tensor, where innovation meets reproducibility. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Barrett's start in operations logistics [02:27]• Concorde Solver and the traveling salesperson problem [09:59]• Cross-function approximation explained [19:13]• How Markov decision processes relate to deep reinforcement learning [26:08]• Understanding policy in decision-making contexts [33:40]• Revolutionizing supply chains and transportation with aerial drones [46:47]• Barrett’s career evolution: past changes and future prospects [52:19]Additional materials: www.superdatascience.com/773</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Dr. Barrett Thomas, an award-winning Research Professor at the University of Iowa, explores the intricacies of Markov decision processes and their connection to Deep Reinforcement Learning. Discover how these concepts are applied in operations research to enhance business efficiency and drive innovations in same-day delivery and autonomous transportation systems.<br><br>This episode is brought to you by <a href="https://www.readytensor.ai/">Ready Tensor</a>, where innovation meets reproducibility. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Barrett's start in operations logistics [02:27]<br>• Concorde Solver and the traveling salesperson problem [09:59]<br>• Cross-function approximation explained [19:13]<br>• How Markov decision processes relate to deep reinforcement learning [26:08]<br>• Understanding policy in decision-making contexts [33:40]<br>• Revolutionizing supply chains and transportation with aerial drones [46:47]<br>• Barrett’s career evolution: past changes and future prospects [52:19]<br><br>Additional materials: <a href="https://www.superdatascience.com/773">www.superdatascience.com/773</a></p>]]>
      </content:encoded>
      <itunes:duration>4060</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>772: In Case You Missed It in March 2024</title>
      <description>Pytorch benefits, how to get funding for your AI startup, and managing scientific silos: In our new series for SuperDataScience, “In Case You Missed It”, host Jon Krohn engages in some “reinforcement learning through human feedback” of his own with need-to-hear sound bites from past SDS episodes!Additional materials: www.superdatascience.com/772Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 05 Apr 2024 11:00:00 -0000</pubDate>
      <itunes:title>772: In Case You Missed It in March 2024</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/003e77e2-1c32-11ef-9765-4bec8c30c097/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Pytorch benefits, how to get funding for your AI startup, and managing scientific silos: In our new series for SuperDataScience, “In Case You Missed It”, host Jon Krohn engages in some “reinforcement learning through human feedback” of his own with need-to-hear sound bites from past SDS episodes!Additional materials: www.superdatascience.com/772Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:subtitle>
      <itunes:summary>Pytorch benefits, how to get funding for your AI startup, and managing scientific silos: In our new series for SuperDataScience, “In Case You Missed It”, host Jon Krohn engages in some “reinforcement learning through human feedback” of his own with need-to-hear sound bites from past SDS episodes!Additional materials: www.superdatascience.com/772Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Pytorch benefits, how to get funding for your AI startup, and managing scientific silos: In our new series for SuperDataScience, “In Case You Missed It”, host Jon Krohn engages in some “reinforcement learning through human feedback” of his own with need-to-hear sound bites from past SDS episodes!<br><br>Additional materials: <a href="https://www.superdatascience.com/772">www.superdatascience.com/772</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1440</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7066561206.mp3?updated=1716818955" length="0" type="audio/mpeg"/>
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    <item>
      <title>771: Gradient Boosting: XGBoost, LightGBM and CatBoost, with Kirill Eremenko</title>
      <description>Kirill Eremenko joins Jon Krohn for another exclusive, in-depth teaser for a new course just released on the SuperDataScience platform, “Machine Learning Level 2”. Kirill walks listeners through why decision trees and random forests are fruitful for businesses, and he offers hands-on walkthroughs for the three leading gradient-boosting algorithms today: XGBoost, LightGBM, and CatBoost.This episode is brought to you by Ready Tensor, where innovation meets reproducibility, and by Data Universe, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• All about decision trees [09:17]• All about ensemble models [21:43]• All about AdaBoost [36:47]• All about gradient boosting [45:52]• Gradient boosting for classification problems [59:54]• Advantages of XGBoost [1:03:51]• LightGBM [1:17:06]• CatBoost [1:32:07]Additional materials: www.superdatascience.com/771</description>
      <pubDate>Tue, 02 Apr 2024 11:00:00 -0000</pubDate>
      <itunes:title>771: Gradient Boosting: XGBoost, LightGBM and CatBoost, with Kirill Eremenko</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/00a46458-1c32-11ef-9765-b3fcbf51c909/image/17f48e32879db0c35870addc49e0d0ca.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Kirill Eremenko joins Jon Krohn for another exclusive, in-depth teaser for a new course just released on the SuperDataScience platform, “Machine Learning Level 2”. Kirill walks listeners through why decision trees and random forests are fruitful for businesses, and he offers hands-on walkthroughs for the three leading gradient-boosting algorithms today: XGBoost, LightGBM, and CatBoost.This episode is brought to you by Ready Tensor, where innovation meets reproducibility, and by Data Universe,...</itunes:subtitle>
      <itunes:summary>Kirill Eremenko joins Jon Krohn for another exclusive, in-depth teaser for a new course just released on the SuperDataScience platform, “Machine Learning Level 2”. Kirill walks listeners through why decision trees and random forests are fruitful for businesses, and he offers hands-on walkthroughs for the three leading gradient-boosting algorithms today: XGBoost, LightGBM, and CatBoost.This episode is brought to you by Ready Tensor, where innovation meets reproducibility, and by Data Universe, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• All about decision trees [09:17]• All about ensemble models [21:43]• All about AdaBoost [36:47]• All about gradient boosting [45:52]• Gradient boosting for classification problems [59:54]• Advantages of XGBoost [1:03:51]• LightGBM [1:17:06]• CatBoost [1:32:07]Additional materials: www.superdatascience.com/771</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Kirill Eremenko joins Jon Krohn for another exclusive, in-depth teaser for a new course just released on the SuperDataScience platform, “Machine Learning Level 2”. Kirill walks listeners through why decision trees and random forests are fruitful for businesses, and he offers hands-on walkthroughs for the three leading gradient-boosting algorithms today: XGBoost, LightGBM, and CatBoost.<br><br>This episode is brought to you by <a href="https://www.readytensor.ai/">Ready Tensor</a>, where innovation meets reproducibility, and by <a href="https://datauniverse2024.com/">Data Universe</a>, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• All about decision trees [09:17]<br>• All about ensemble models [21:43]<br>• All about AdaBoost [36:47]<br>• All about gradient boosting [45:52]<br>• Gradient boosting for classification problems [59:54]<br>• Advantages of XGBoost [1:03:51]<br>• LightGBM [1:17:06]<br>• CatBoost [1:32:07]<br><br>Additional materials: <a href="https://www.superdatascience.com/771">www.superdatascience.com/771</a></p>]]>
      </content:encoded>
      <itunes:duration>6927</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>770: The Neuroscientific Guide to Confidence</title>
      <description>Explore the science of confidence with Lucy Antrobus, as she unveils neuroscience-backed strategies to build and boost confidence through practice, positive energy, and the power of laughter. An essential listen for fostering unshakable self-assurance.Additional materials: www.superdatascience.com/770Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 29 Mar 2024 11:00:00 -0000</pubDate>
      <itunes:title>770: The Neuroscientific Guide to Confidence</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/014efbd4-1c32-11ef-9765-a72e56b0f03b/image/1b6dcb64f76bf9ecd3ce59c090757efb.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Explore the science of confidence with Lucy Antrobus, as she unveils neuroscience-backed strategies to build and boost confidence through practice, positive energy, and the power of laughter. An essential listen for fostering unshakable self-assurance.Additional materials: www.superdatascience.com/770Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:subtitle>
      <itunes:summary>Explore the science of confidence with Lucy Antrobus, as she unveils neuroscience-backed strategies to build and boost confidence through practice, positive energy, and the power of laughter. An essential listen for fostering unshakable self-assurance.Additional materials: www.superdatascience.com/770Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Explore the science of confidence with Lucy Antrobus, as she unveils neuroscience-backed strategies to build and boost confidence through practice, positive energy, and the power of laughter. An essential listen for fostering unshakable self-assurance.<br><br>Additional materials: <a href="https://www.superdatascience.com/770">www.superdatascience.com/770</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2722</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>769: Generative AI for Medicine, with Prof. Zack Lipton</title>
      <description>Generative AI in medicine takes center stage as Prof. Zachary Lipton, Chief Scientific Officer at Abridge, joins host Jon Krohn to discuss the significant advancements in AI that are reshaping healthcare.This episode is brought to you by the DataConnect Conference, and by Data Universe, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• The inspiration for Zack to get started in ML and healthcare [03:56]• The hardware required to use Abridge [12:29]• The key data science projects at Abridge right now [35:05]• Abridge's tech stack [59:54]• How Abridge ensures reliability in a high-stakes setting like healthcare [1:07:29]• How Zack’s academic research cross-pollinates with his commercial ML projects [1:21:05]• How Zack’s jazz background molded his entrepreneur and data science journey [1:30:32]Additional materials: www.superdatascience.com/769</description>
      <pubDate>Tue, 26 Mar 2024 11:00:00 -0000</pubDate>
      <itunes:title>769: Generative AI for Medicine, with Prof. Zack Lipton</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/01cef000-1c32-11ef-9765-8b88e7ed42bc/image/1819b70497a59e0cbef3bda53381d5e2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Generative AI in medicine takes center stage as Prof. Zachary Lipton, Chief Scientific Officer at Abridge, joins host Jon Krohn to discuss the significant advancements in AI that are reshaping healthcare.This episode is brought to you by the DataConnect Conference, and by Data Universe, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• The inspi...</itunes:subtitle>
      <itunes:summary>Generative AI in medicine takes center stage as Prof. Zachary Lipton, Chief Scientific Officer at Abridge, joins host Jon Krohn to discuss the significant advancements in AI that are reshaping healthcare.This episode is brought to you by the DataConnect Conference, and by Data Universe, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• The inspiration for Zack to get started in ML and healthcare [03:56]• The hardware required to use Abridge [12:29]• The key data science projects at Abridge right now [35:05]• Abridge's tech stack [59:54]• How Abridge ensures reliability in a high-stakes setting like healthcare [1:07:29]• How Zack’s academic research cross-pollinates with his commercial ML projects [1:21:05]• How Zack’s jazz background molded his entrepreneur and data science journey [1:30:32]Additional materials: www.superdatascience.com/769</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Generative AI in medicine takes center stage as Prof. Zachary Lipton, Chief Scientific Officer at Abridge, joins host Jon Krohn to discuss the significant advancements in AI that are reshaping healthcare.<br><br>This episode is brought to you by the <a href="https://www.dataconnectconf.com/dccwest/conference">DataConnect Conference</a>, and by <a href="https://datauniverse2024.com/">Data Universe</a>, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• The inspiration for Zack to get started in ML and healthcare [03:56]<br>• The hardware required to use Abridge [12:29]<br>• The key data science projects at Abridge right now [35:05]<br>• Abridge's tech stack [59:54]<br>• How Abridge ensures reliability in a high-stakes setting like healthcare [1:07:29]<br>• How Zack’s academic research cross-pollinates with his commercial ML projects [1:21:05]<br>• How Zack’s jazz background molded his entrepreneur and data science journey [1:30:32]<br><br>Additional materials: <a href="https://www.superdatascience.com/769">www.superdatascience.com/769</a></p>]]>
      </content:encoded>
      <itunes:duration>6552</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14769327]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5583466972.mp3?updated=1716818958" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>768: Is Claude 3 Better than GPT-4?</title>
      <description>Claude 3, LLMs and testing ML performance: Jon Krohn tests out Anthropic’s new model family, Claude 3, which includes the Haiku, Sonnet and Opus models (written in order of their performance power, from least to greatest). Can it stand shoulder to shoulder with other models such as GPT-4 and Gemini 1.0 Ultra? And how important is it for machine learning practitioners to try out these models with their own benchmarks? Jon walks listeners through a test of his own in this Five-Minute Friday.Additional materials: www.superdatascience.com/768Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 22 Mar 2024 11:00:00 -0000</pubDate>
      <itunes:title>768: Is Claude 3 Better than GPT-4?</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/02372b70-1c32-11ef-9765-8f3d80005185/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Claude 3, LLMs and testing ML performance: Jon Krohn tests out Anthropic’s new model family, Claude 3, which includes the Haiku, Sonnet and Opus models (written in order of their performance power, from least to greatest). Can it stand shoulder to shoulder with other models such as GPT-4 and Gemini 1.0 Ultra? And how important is it for machine learning practitioners to try out these models with their own benchmarks? Jon walks listeners through a test of his own in this Five-Minute Friday.Add...</itunes:subtitle>
      <itunes:summary>Claude 3, LLMs and testing ML performance: Jon Krohn tests out Anthropic’s new model family, Claude 3, which includes the Haiku, Sonnet and Opus models (written in order of their performance power, from least to greatest). Can it stand shoulder to shoulder with other models such as GPT-4 and Gemini 1.0 Ultra? And how important is it for machine learning practitioners to try out these models with their own benchmarks? Jon walks listeners through a test of his own in this Five-Minute Friday.Additional materials: www.superdatascience.com/768Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Claude 3, LLMs and testing ML performance: Jon Krohn tests out Anthropic’s new model family, Claude 3, which includes the Haiku, Sonnet and Opus models (written in order of their performance power, from least to greatest). Can it stand shoulder to shoulder with other models such as GPT-4 and Gemini 1.0 Ultra? And how important is it for machine learning practitioners to try out these models with their own benchmarks? Jon walks listeners through a test of his own in this Five-Minute Friday.<br><br>Additional materials: <a href="https://www.superdatascience.com/768">www.superdatascience.com/768</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>775</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14738395]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7602593738.mp3?updated=1716818959" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>767: Open-Source LLM Libraries and Techniques, with Dr. Sebastian Raschka</title>
      <description>Jon Krohn sits down with Sebastian Raschka to discuss his latest book, Machine Learning Q and AI, the open-source libraries developed by Lightning AI, how to exploit the greatest opportunities for LLM development, and what’s on the horizon for LLMs.This episode is brought to you by the DataConnect Conference, and by Data Universe, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• All about Machine Learning Q and AI [04:13]• Sebastian Raschka’s role as Staff Research Engineer at Lightning AI [19:21]• PyTorch Lightning’s and Lightning Fabric’s capabilities [39:32]• Large language models: Opportunities and challenges [43:35]• DoRA vs LoRA [48:56]• How to be a successful AI educator [1:34:18]Additional materials: www.superdatascience.com/767</description>
      <pubDate>Tue, 19 Mar 2024 11:00:00 -0000</pubDate>
      <itunes:title>767: Open-Source LLM Libraries and Techniques, with Dr. Sebastian Raschka</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/02b0ef28-1c32-11ef-9765-9747aa8c50a4/image/a16d5de3453f8067ff46707c129d2cd4.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn sits down with Sebastian Raschka to discuss his latest book, Machine Learning Q and AI, the open-source libraries developed by Lightning AI, how to exploit the greatest opportunities for LLM development, and what’s on the horizon for LLMs.This episode is brought to you by the DataConnect Conference, and by Data Universe, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship informati...</itunes:subtitle>
      <itunes:summary>Jon Krohn sits down with Sebastian Raschka to discuss his latest book, Machine Learning Q and AI, the open-source libraries developed by Lightning AI, how to exploit the greatest opportunities for LLM development, and what’s on the horizon for LLMs.This episode is brought to you by the DataConnect Conference, and by Data Universe, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• All about Machine Learning Q and AI [04:13]• Sebastian Raschka’s role as Staff Research Engineer at Lightning AI [19:21]• PyTorch Lightning’s and Lightning Fabric’s capabilities [39:32]• Large language models: Opportunities and challenges [43:35]• DoRA vs LoRA [48:56]• How to be a successful AI educator [1:34:18]Additional materials: www.superdatascience.com/767</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn sits down with Sebastian Raschka to discuss his latest book, Machine Learning Q and AI, the open-source libraries developed by Lightning AI, how to exploit the greatest opportunities for LLM development, and what’s on the horizon for LLMs.<br><br>This episode is brought to you by the <a href="https://www.dataconnectconf.com/dccwest/conference">DataConnect Conference</a>, and by <a href="https://datauniverse2024.com/">Data Universe</a>, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• All about Machine Learning Q and AI [04:13]<br>• Sebastian Raschka’s role as Staff Research Engineer at Lightning AI [19:21]<br>• PyTorch Lightning’s and Lightning Fabric’s capabilities [39:32]<br>• Large language models: Opportunities and challenges [43:35]<br>• DoRA vs LoRA [48:56]<br>• How to be a successful AI educator [1:34:18]<br><br>Additional materials: <a href="https://www.superdatascience.com/767">www.superdatascience.com/767</a></p>]]>
      </content:encoded>
      <itunes:duration>6492</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14718308]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6643866780.mp3?updated=1716818959" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>766: Vonnegut's Player Piano (1952): An Eerie Novel on the Current AI Revolution</title>
      <description>Kurt Vonnegut's "Player Piano" delivers striking parallels between its dystopian vision and today's AI challenges. This week, Jon Krohn explores the novel's depiction of a world where humans are marginalized by machines, reflecting on the impact of automation on society and the ethical considerations it raises. Tune in as we unpack the timeless relevance of Vonnegut's work to the AI era.Additional materials: www.superdatascience.com/766Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 15 Mar 2024 11:00:00 -0000</pubDate>
      <itunes:title>766: Vonnegut's Player Piano (1952): An Eerie Novel on the Current AI Revolution</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0330f088-1c32-11ef-9765-13e5873d2f74/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Kurt Vonnegut's "Player Piano" delivers striking parallels between its dystopian vision and today's AI challenges. This week, Jon Krohn explores the novel's depiction of a world where humans are marginalized by machines, reflecting on the impact of automation on society and the ethical considerations it raises. Tune in as we unpack the timeless relevance of Vonnegut's work to the AI era.Additional materials: www.superdatascience.com/766Interested in sponsoring a SuperDataScience Podcast episo...</itunes:subtitle>
      <itunes:summary>Kurt Vonnegut's "Player Piano" delivers striking parallels between its dystopian vision and today's AI challenges. This week, Jon Krohn explores the novel's depiction of a world where humans are marginalized by machines, reflecting on the impact of automation on society and the ethical considerations it raises. Tune in as we unpack the timeless relevance of Vonnegut's work to the AI era.Additional materials: www.superdatascience.com/766Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Kurt Vonnegut's "Player Piano" delivers striking parallels between its dystopian vision and today's AI challenges. This week, Jon Krohn explores the novel's depiction of a world where humans are marginalized by machines, reflecting on the impact of automation on society and the ethical considerations it raises. Tune in as we unpack the timeless relevance of Vonnegut's work to the AI era.<br><br>Additional materials: <a href="https://www.superdatascience.com/766">www.superdatascience.com/766</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>493</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14689095]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2144860653.mp3?updated=1716818961" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>765: NumPy, SciPy and the Economics of Open-Source, with Dr. Travis Oliphant</title>
      <description>Explore the origins of NumPy and SciPy with their creator, Dr. Travis Oliphant. Discover the journey from personal need to global impact, the challenges overcome, and the future of these essential Python libraries in scientific computing and data science.This episode is brought to you by the DataConnect Conference, by Data Universe, the out-of-this-world data conference, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Travis's journey to creating NumPy and SciPy [08:05]• How Anaconda got started [42:24]• How Numba, a high-performance Python compiler, was brought to market [54:48]• Python's influence on the thought processes of scientists and engineers [1:04:21]• The commercial projects that support Travis’s vast open-source efforts and communities [1:10:22]• How to get involved in Travis's commercial projects and communities [1:22:34]• The future of scientific computing and Python libraries [1:29:50]Additional materials: www.superdatascience.com/765</description>
      <pubDate>Tue, 12 Mar 2024 11:00:00 -0000</pubDate>
      <itunes:title>765: NumPy, SciPy and the Economics of Open-Source, with Dr. Travis Oliphant</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/03a80420-1c32-11ef-9765-131bc32a2054/image/61aa7e1aae23867a2d26d3c39108ddd5.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Explore the origins of NumPy and SciPy with their creator, Dr. Travis Oliphant. Discover the journey from personal need to global impact, the challenges overcome, and the future of these essential Python libraries in scientific computing and data science.This episode is brought to you by the DataConnect Conference, by Data Universe, the out-of-this-world data conference, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroo...</itunes:subtitle>
      <itunes:summary>Explore the origins of NumPy and SciPy with their creator, Dr. Travis Oliphant. Discover the journey from personal need to global impact, the challenges overcome, and the future of these essential Python libraries in scientific computing and data science.This episode is brought to you by the DataConnect Conference, by Data Universe, the out-of-this-world data conference, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Travis's journey to creating NumPy and SciPy [08:05]• How Anaconda got started [42:24]• How Numba, a high-performance Python compiler, was brought to market [54:48]• Python's influence on the thought processes of scientists and engineers [1:04:21]• The commercial projects that support Travis’s vast open-source efforts and communities [1:10:22]• How to get involved in Travis's commercial projects and communities [1:22:34]• The future of scientific computing and Python libraries [1:29:50]Additional materials: www.superdatascience.com/765</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Explore the origins of NumPy and SciPy with their creator, Dr. Travis Oliphant. Discover the journey from personal need to global impact, the challenges overcome, and the future of these essential Python libraries in scientific computing and data science.<br><br>This episode is brought to you by the <a href="https://www.dataconnectconf.com/dccwest/conference">DataConnect Conference</a>, by <a href="https://datauniverse2024.com">Data Universe</a>, the out-of-this-world data conference, and by <a href="http://www.cloudwolf.com/sds">CloudWolf</a>, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Travis's journey to creating NumPy and SciPy [08:05]<br>• How Anaconda got started [42:24]<br>• How Numba, a high-performance Python compiler, was brought to market [54:48]<br>• Python's influence on the thought processes of scientists and engineers [1:04:21]<br>• The commercial projects that support Travis’s vast open-source efforts and communities [1:10:22]<br>• How to get involved in Travis's commercial projects and communities [1:22:34]<br>• The future of scientific computing and Python libraries [1:29:50]<br><br>Additional materials: <a href="https://www.superdatascience.com/765">www.superdatascience.com/765</a></p>]]>
      </content:encoded>
      <itunes:duration>5849</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14674869]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8942873162.mp3?updated=1716818961" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>764: The Top 10 Episodes of 2023</title>
      <description>Data science futurists, bestselling authors, and lively how-to guides from the industry’s top practitioners, which range from applying data science for good to using open-source tools for NLP: This is The Super Data Science Podcast’s top ten most listened-to episodes in 2023, hosted by Jon Krohn. A great snapshot of our great content from 2023.Additional materials: www.superdatascience.com/764Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 08 Mar 2024 12:00:00 -0000</pubDate>
      <itunes:title>764: The Top 10 Episodes of 2023</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/041f1970-1c32-11ef-9765-fbc9723ae17c/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Data science futurists, bestselling authors, and lively how-to guides from the industry’s top practitioners, which range from applying data science for good to using open-source tools for NLP: This is The Super Data Science Podcast’s top ten most listened-to episodes in 2023, hosted by Jon Krohn. A great snapshot of our great content from 2023.Additional materials: www.superdatascience.com/764Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience f...</itunes:subtitle>
      <itunes:summary>Data science futurists, bestselling authors, and lively how-to guides from the industry’s top practitioners, which range from applying data science for good to using open-source tools for NLP: This is The Super Data Science Podcast’s top ten most listened-to episodes in 2023, hosted by Jon Krohn. A great snapshot of our great content from 2023.Additional materials: www.superdatascience.com/764Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Data science futurists, bestselling authors, and lively how-to guides from the industry’s top practitioners, which range from applying data science for good to using open-source tools for NLP: This is The Super Data Science Podcast’s top ten most listened-to episodes in 2023, hosted by Jon Krohn. A great snapshot of our great content from 2023.<br><br>Additional materials: <a href="https://www.superdatascience.com/764">www.superdatascience.com/764</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>484</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>763: The Best A.I. Startup Opportunities, with venture capitalist Rudina Seseri</title>
      <description>At Glasswing Ventures, Rudina Seseri wants to be able to answer the question: What has Glasswing Ventures done for the company beyond capital investment? She speaks to Jon Krohn about how her company uses data to assess venture capital investments, the secret sauce of successful AI startups, and why she feels generative AI is only the start of a much broader impact that AI will make in communities and businesses.This episode is brought to you by the DataConnect Conference, and by Ready Tensor, where innovation meets reproducibility. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Potential interest areas for Series A AI venture capitalists [12:22]• How Glasswing’s AI Palette helps AI startups [23:06]• How data driven the venture capital industry is [27:21]• Advice for adopting services from AI providers [47:21]• Model collapse: Causes and concerns [58:44]• Glasswing’s checklist for AI startups [1:04:59]Additional materials: www.superdatascience.com/763</description>
      <pubDate>Tue, 05 Mar 2024 12:00:00 -0000</pubDate>
      <itunes:title>763: The Best A.I. Startup Opportunities, with venture capitalist Rudina Seseri</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0671f2c4-1c32-11ef-9765-bb802013adaf/image/50b8f9551d4ff40364bb916409f57e4b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>At Glasswing Ventures, Rudina Seseri wants to be able to answer the question: What has Glasswing Ventures done for the company beyond capital investment? She speaks to Jon Krohn about how her company uses data to assess venture capital investments, the secret sauce of successful AI startups, and why she feels generative AI is only the start of a much broader impact that AI will make in communities and businesses.This episode is brought to you by the DataConnect Conference, and by Ready Tensor...</itunes:subtitle>
      <itunes:summary>At Glasswing Ventures, Rudina Seseri wants to be able to answer the question: What has Glasswing Ventures done for the company beyond capital investment? She speaks to Jon Krohn about how her company uses data to assess venture capital investments, the secret sauce of successful AI startups, and why she feels generative AI is only the start of a much broader impact that AI will make in communities and businesses.This episode is brought to you by the DataConnect Conference, and by Ready Tensor, where innovation meets reproducibility. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Potential interest areas for Series A AI venture capitalists [12:22]• How Glasswing’s AI Palette helps AI startups [23:06]• How data driven the venture capital industry is [27:21]• Advice for adopting services from AI providers [47:21]• Model collapse: Causes and concerns [58:44]• Glasswing’s checklist for AI startups [1:04:59]Additional materials: www.superdatascience.com/763</itunes:summary>
      <content:encoded>
        <![CDATA[<p>At Glasswing Ventures, Rudina Seseri wants to be able to answer the question: What has Glasswing Ventures done for the company beyond capital investment? She speaks to Jon Krohn about how her company uses data to assess venture capital investments, the secret sauce of successful AI startups, and why she feels generative AI is only the start of a much broader impact that AI will make in communities and businesses.<br><br>This episode is brought to you by the <a href="https://www.dataconnectconf.com/dccwest/conference">DataConnect Conference</a>, and by <a href="https://www.readytensor.ai/">Ready Tensor</a>, where innovation meets reproducibility. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Potential interest areas for Series A AI venture capitalists [12:22]<br>• How Glasswing’s AI Palette helps AI startups [23:06]<br>• How data driven the venture capital industry is [27:21]<br>• Advice for adopting services from AI providers [47:21]<br>• Model collapse: Causes and concerns [58:44]<br>• Glasswing’s checklist for AI startups [1:04:59]<br><br>Additional materials: <a href="https://www.superdatascience.com/763">www.superdatascience.com/763</a></p>]]>
      </content:encoded>
      <itunes:duration>5234</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5636419692.mp3?updated=1716818968" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>762: Gemini 1.5 Pro, the Million-Token-Context LLM</title>
      <description>Jon Krohn presents an insightful overview of Google's groundbreaking Gemini Pro 1.5, a million-token LLM that's transforming the landscape of AI. Discover the innovative aspects of Gemini Pro 1.5, from its extensive context window to its multimodal functionalities, which are broadening the scope of AI technology and signifying a significant leap in data science. Plus, join Jon for a practical demonstration, showcasing the real-world applications, capabilities, and limitation of this advanced language model.Additional materials: www.superdatascience.com/762Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 01 Mar 2024 12:00:00 -0000</pubDate>
      <itunes:title>762: Gemini 1.5 Pro, the Million-Token-Context LLM</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/08490740-1c32-11ef-9765-6bfae2ed3624/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn presents an insightful overview of Google's groundbreaking Gemini Pro 1.5, a million-token LLM that's transforming the landscape of AI. Discover the innovative aspects of Gemini Pro 1.5, from its extensive context window to its multimodal functionalities, which are broadening the scope of AI technology and signifying a significant leap in data science. Plus, join Jon for a practical demonstration, showcasing the real-world applications, capabilities, and limitation of this advanced ...</itunes:subtitle>
      <itunes:summary>Jon Krohn presents an insightful overview of Google's groundbreaking Gemini Pro 1.5, a million-token LLM that's transforming the landscape of AI. Discover the innovative aspects of Gemini Pro 1.5, from its extensive context window to its multimodal functionalities, which are broadening the scope of AI technology and signifying a significant leap in data science. Plus, join Jon for a practical demonstration, showcasing the real-world applications, capabilities, and limitation of this advanced language model.Additional materials: www.superdatascience.com/762Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn presents an insightful overview of Google's groundbreaking Gemini Pro 1.5, a million-token LLM that's transforming the landscape of AI. Discover the innovative aspects of Gemini Pro 1.5, from its extensive context window to its multimodal functionalities, which are broadening the scope of AI technology and signifying a significant leap in data science. Plus, join Jon for a practical demonstration, showcasing the real-world applications, capabilities, and limitation of this advanced language model.<br><br>Additional materials: <a href="https://www.superdatascience.com/762">www.superdatascience.com/762</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1018</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2848955229.mp3?updated=1716818969" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>761: Gemini Ultra: How to Release an A.I. Product for Billions of Users, with Google's Lisa Cohen</title>
      <description>Google's Gemini Ultra takes the spotlight this week, as host Jon Krohn welcomes Lisa Cohen, Google's Director of Data Science and Engineering, for a conversation about the launch of Gemini Ultra. Discover the capabilities of this cutting-edge large language model and how it stands toe-to-toe with GPT-4. Lisa shares her insights on the development, rollout, and potential of Gemini Ultra in reshaping various sectors. Whether you're a data science professional, tech enthusiast, or curious about the future of AI, this episode offers a deep dive into one of the most significant advancements in artificial intelligence.This episode is brought to you by Ready Tensor, where innovation meets reproducibility, and by Intel and HPE Ezmeral Software Solutions. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Google’s Gemini model family and Lisa's key responsibilities [04:55]• How LLMs will transform the practice of Data Science [19:47]• Lisa on prompt engineering and reinforcement learning from human feedback [24:38]• How to fine-tune Gemini models with Google's Vertex AI [30:52]• How AI-assistants will transform life and work for everyone from data scientists to educators to children [47:14]• The challenges of developing a data-centric culture [57:31]• Centralized vs decentralized data science teams [1:03:50]Additional materials: www.superdatascience.com/761</description>
      <pubDate>Tue, 27 Feb 2024 12:00:00 -0000</pubDate>
      <itunes:title>761: Gemini Ultra: How to Release an A.I. Product for Billions of Users, with Google's Lisa Cohen</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/08b55d00-1c32-11ef-9765-1b9bb0531cd4/image/5a9526252470acb85391b6dd1382de62.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Google's Gemini Ultra takes the spotlight this week, as host Jon Krohn welcomes Lisa Cohen, Google's Director of Data Science and Engineering, for a conversation about the launch of Gemini Ultra. Discover the capabilities of this cutting-edge large language model and how it stands toe-to-toe with GPT-4. Lisa shares her insights on the development, rollout, and potential of Gemini Ultra in reshaping various sectors. Whether you're a data science professional, tech enthusiast, or curious about ...</itunes:subtitle>
      <itunes:summary>Google's Gemini Ultra takes the spotlight this week, as host Jon Krohn welcomes Lisa Cohen, Google's Director of Data Science and Engineering, for a conversation about the launch of Gemini Ultra. Discover the capabilities of this cutting-edge large language model and how it stands toe-to-toe with GPT-4. Lisa shares her insights on the development, rollout, and potential of Gemini Ultra in reshaping various sectors. Whether you're a data science professional, tech enthusiast, or curious about the future of AI, this episode offers a deep dive into one of the most significant advancements in artificial intelligence.This episode is brought to you by Ready Tensor, where innovation meets reproducibility, and by Intel and HPE Ezmeral Software Solutions. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Google’s Gemini model family and Lisa's key responsibilities [04:55]• How LLMs will transform the practice of Data Science [19:47]• Lisa on prompt engineering and reinforcement learning from human feedback [24:38]• How to fine-tune Gemini models with Google's Vertex AI [30:52]• How AI-assistants will transform life and work for everyone from data scientists to educators to children [47:14]• The challenges of developing a data-centric culture [57:31]• Centralized vs decentralized data science teams [1:03:50]Additional materials: www.superdatascience.com/761</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Google's Gemini Ultra takes the spotlight this week, as host Jon Krohn welcomes Lisa Cohen, Google's Director of Data Science and Engineering, for a conversation about the launch of Gemini Ultra. Discover the capabilities of this cutting-edge large language model and how it stands toe-to-toe with GPT-4. Lisa shares her insights on the development, rollout, and potential of Gemini Ultra in reshaping various sectors. Whether you're a data science professional, tech enthusiast, or curious about the future of AI, this episode offers a deep dive into one of the most significant advancements in artificial intelligence.<br><br>This episode is brought to you by <a href="https://www.readytensor.ai/">Ready Tensor</a>, where innovation meets reproducibility, and by <a href="https://hpe.com/ezmeral/chatbots">Intel and HPE Ezmeral Software Solutions</a>. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Google’s Gemini model family and Lisa's key responsibilities [04:55]<br>• How LLMs will transform the practice of Data Science [19:47]<br>• Lisa on prompt engineering and reinforcement learning from human feedback [24:38]<br>• How to fine-tune Gemini models with Google's Vertex AI [30:52]<br>• How AI-assistants will transform life and work for everyone from data scientists to educators to children [47:14]<br>• The challenges of developing a data-centric culture [57:31]<br>• Centralized vs decentralized data science teams [1:03:50]<br><br>Additional materials: <a href="https://www.superdatascience.com/761">www.superdatascience.com/761</a></p>]]>
      </content:encoded>
      <itunes:duration>4215</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7612200727.mp3?updated=1716818969" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>760: Humans Love A.I.-Crafted Beer</title>
      <description>AI-crafted beer, machine learning for passion projects, and self-taught data science: Jon Krohn and Beau Warren’s hotly anticipated, data-driven, punny lager Krohn&amp;Borg is finally given a taste test in this week’s Five-Minute Friday. Heading to the Species X brewery in Columbus, Ohio, Jon Krohn and Beau Warren launched the beer that had been predicted, optimized and developed by a machine-learning model.Additional materials: www.superdatascience.com/760Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 23 Feb 2024 12:00:00 -0000</pubDate>
      <itunes:title>760: Humans Love A.I.-Crafted Beer</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0924ccda-1c32-11ef-9765-9f451477f22c/image/c48a6a45a51c61ea8ac6d441addef466.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>AI-crafted beer, machine learning for passion projects, and self-taught data science: Jon Krohn and Beau Warren’s hotly anticipated, data-driven, punny lager Krohn&amp;amp;Borg is finally given a taste test in this week’s Five-Minute Friday. Heading to the Species X brewery in Columbus, Ohio, Jon Krohn and Beau Warren launched the beer that had been predicted, optimized and developed by a machine-learning model.Additional materials: www.superdatascience.com/760Interested in sponsoring a SuperData...</itunes:subtitle>
      <itunes:summary>AI-crafted beer, machine learning for passion projects, and self-taught data science: Jon Krohn and Beau Warren’s hotly anticipated, data-driven, punny lager Krohn&amp;Borg is finally given a taste test in this week’s Five-Minute Friday. Heading to the Species X brewery in Columbus, Ohio, Jon Krohn and Beau Warren launched the beer that had been predicted, optimized and developed by a machine-learning model.Additional materials: www.superdatascience.com/760Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>AI-crafted beer, machine learning for passion projects, and self-taught data science: Jon Krohn and Beau Warren’s hotly anticipated, data-driven, punny lager Krohn&amp;Borg is finally given a taste test in this week’s Five-Minute Friday. Heading to the Species X brewery in Columbus, Ohio, Jon Krohn and Beau Warren launched the beer that had been predicted, optimized and developed by a machine-learning model.<br><br>Additional materials: <a href="https://www.superdatascience.com/760">www.superdatascience.com/760</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>391</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7587206899.mp3?updated=1716818970" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>759: Full Encoder-Decoder Transformers Fully Explained, with Kirill Eremenko</title>
      <description>Encoders, cross attention and masking for LLMs: SuperDataScience Founder Kirill Eremenko returns to the SuperDataScience podcast, where he speaks with Jon Krohn about transformer architectures and why they are a new frontier for generative AI. If you’re interested in applying LLMs to your business portfolio, you’ll want to pay close attention to this episode!This episode is brought to you by Ready Tensor, where innovation meets reproducibility, by Oracle NetSuite business software, and by Intel and HPE Ezmeral Software Solutions. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How decoder-only transformers work [15:51]• How cross-attention works in transformers [41:05]• How encoders and decoders work together (an example) [52:46]• How encoder-only architectures excel at understanding natural language [1:20:34]• The importance of masking during self-attention [1:27:08]Additional materials: www.superdatascience.com/759</description>
      <pubDate>Tue, 20 Feb 2024 12:00:00 -0000</pubDate>
      <itunes:title>759: Full Encoder-Decoder Transformers Fully Explained, with Kirill Eremenko</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/099f101c-1c32-11ef-9765-eb164cec98ec/image/17f48e32879db0c35870addc49e0d0ca.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Encoders, cross attention and masking for LLMs: SuperDataScience Founder Kirill Eremenko returns to the SuperDataScience podcast, where he speaks with Jon Krohn about transformer architectures and why they are a new frontier for generative AI. If you’re interested in applying LLMs to your business portfolio, you’ll want to pay close attention to this episode!This episode is brought to you by Ready Tensor, where innovation meets reproducibility, by Oracle NetSuite business software, and by Int...</itunes:subtitle>
      <itunes:summary>Encoders, cross attention and masking for LLMs: SuperDataScience Founder Kirill Eremenko returns to the SuperDataScience podcast, where he speaks with Jon Krohn about transformer architectures and why they are a new frontier for generative AI. If you’re interested in applying LLMs to your business portfolio, you’ll want to pay close attention to this episode!This episode is brought to you by Ready Tensor, where innovation meets reproducibility, by Oracle NetSuite business software, and by Intel and HPE Ezmeral Software Solutions. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How decoder-only transformers work [15:51]• How cross-attention works in transformers [41:05]• How encoders and decoders work together (an example) [52:46]• How encoder-only architectures excel at understanding natural language [1:20:34]• The importance of masking during self-attention [1:27:08]Additional materials: www.superdatascience.com/759</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Encoders, cross attention and masking for LLMs: SuperDataScience Founder Kirill Eremenko returns to the SuperDataScience podcast, where he speaks with Jon Krohn about transformer architectures and why they are a new frontier for generative AI. If you’re interested in applying LLMs to your business portfolio, you’ll want to pay close attention to this episode!<br><br>This episode is brought to you by <a href="https://www.readytensor.ai/">Ready Tensor</a>, where innovation meets reproducibility, by <a href="https://netsuite.com/superdata">Oracle NetSuite</a> business software, and by <a href="https://hpe.com/ezmeral/chatbots">Intel and HPE Ezmeral Software Solutions</a>. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• How decoder-only transformers work [15:51]<br>• How cross-attention works in transformers [41:05]<br>• How encoders and decoders work together (an example) [52:46]<br>• How encoder-only architectures excel at understanding natural language [1:20:34]<br>• The importance of masking during self-attention [1:27:08]<br><br>Additional materials: <a href="https://www.superdatascience.com/759">www.superdatascience.com/759</a></p>]]>
      </content:encoded>
      <itunes:duration>6193</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>758: The Mamba Architecture: Superior to Transformers in LLMs</title>
      <description>Explore the groundbreaking Mamba model, a potential game-changer in AI that promises to outpace the traditional Transformer architecture with its efficient, linear-time sequence modeling.Additional materials: www.superdatascience.com/758Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 16 Feb 2024 12:00:00 -0000</pubDate>
      <itunes:title>758: The Mamba Architecture: Superior to Transformers in LLMs</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0a16594c-1c32-11ef-9765-679b9840ac54/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Explore the groundbreaking Mamba model, a potential game-changer in AI that promises to outpace the traditional Transformer architecture with its efficient, linear-time sequence modeling.Additional materials: www.superdatascience.com/758Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:subtitle>
      <itunes:summary>Explore the groundbreaking Mamba model, a potential game-changer in AI that promises to outpace the traditional Transformer architecture with its efficient, linear-time sequence modeling.Additional materials: www.superdatascience.com/758Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Explore the groundbreaking Mamba model, a potential game-changer in AI that promises to outpace the traditional Transformer architecture with its efficient, linear-time sequence modeling.<br><br>Additional materials: <a href="https://www.superdatascience.com/758">www.superdatascience.com/758</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>492</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>757: How to Speak so You Blow Listeners' Minds, with Cole Nussbaumer Knaflic</title>
      <description>Explore mind-blowing storytelling with Cole Nussbaumer Knaflic in this episode. Audience favorite and author of "Storytelling with You," Cole returns to share essential tips for crafting impactful presentations, emphasizing narrative construction and audience engagement. Learn how to effectively communicate data and stories, enhancing your presentations with insights from a leading expert in the field.This episode is brought to you by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How to become a confident communicator [11:59]• How to get rid of filler words [26:32]• How facts alone can't make a strong impact [41:44]• Cole's overview of her book Storytelling with You [55:19]• How to craft an effective presentation [1:00:24]• Common mistakes in virtual presentations [1:09:48]• Cole's virtual presentation setup [1:15:33]• Cole's next book Daphne Draws Data [1:20:23]Additional materials: www.superdatascience.com/757</description>
      <pubDate>Tue, 13 Feb 2024 12:00:00 -0000</pubDate>
      <itunes:title>757: How to Speak so You Blow Listeners' Minds, with Cole Nussbaumer Knaflic</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0aa2e812-1c32-11ef-9765-cf6302c865a9/image/61824288008c8495a63341b530eb8b3f.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Explore mind-blowing storytelling with Cole Nussbaumer Knaflic in this episode. Audience favorite and author of "Storytelling with You," Cole returns to share essential tips for crafting impactful presentations, emphasizing narrative construction and audience engagement. Learn how to effectively communicate data and stories, enhancing your presentations with insights from a leading expert in the field.This episode is brought to you by CloudWolf, the Cloud Skills platform. Interested in sponso...</itunes:subtitle>
      <itunes:summary>Explore mind-blowing storytelling with Cole Nussbaumer Knaflic in this episode. Audience favorite and author of "Storytelling with You," Cole returns to share essential tips for crafting impactful presentations, emphasizing narrative construction and audience engagement. Learn how to effectively communicate data and stories, enhancing your presentations with insights from a leading expert in the field.This episode is brought to you by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How to become a confident communicator [11:59]• How to get rid of filler words [26:32]• How facts alone can't make a strong impact [41:44]• Cole's overview of her book Storytelling with You [55:19]• How to craft an effective presentation [1:00:24]• Common mistakes in virtual presentations [1:09:48]• Cole's virtual presentation setup [1:15:33]• Cole's next book Daphne Draws Data [1:20:23]Additional materials: www.superdatascience.com/757</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Explore mind-blowing storytelling with Cole Nussbaumer Knaflic in this episode. Audience favorite and author of "Storytelling with You," Cole returns to share essential tips for crafting impactful presentations, emphasizing narrative construction and audience engagement. Learn how to effectively communicate data and stories, enhancing your presentations with insights from a leading expert in the field.<br><br>This episode is brought to you by <a href="http://www.cloudwolf.com/sds">CloudWolf</a>, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• How to become a confident communicator [11:59]<br>• How to get rid of filler words [26:32]<br>• How facts alone can't make a strong impact [41:44]<br>• Cole's overview of her book Storytelling with You [55:19]<br>• How to craft an effective presentation [1:00:24]<br>• Common mistakes in virtual presentations [1:09:48]<br>• Cole's virtual presentation setup [1:15:33]<br>• Cole's next book Daphne Draws Data [1:20:23]<br><br>Additional materials: <a href="https://www.superdatascience.com/757">www.superdatascience.com/757</a></p>]]>
      </content:encoded>
      <itunes:duration>5343</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14493289]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1176379988.mp3?updated=1716818973" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>756: AlphaGeometry: AI is Suddenly as Capable as the Brightest Math Minds</title>
      <description>AlphaGeometry, intuitive AI, and geometric deduction: In this week’s Five-Minute Friday, Super Data Science host Jon Krohn looks into developments from DeepMind, Google’s ground-breaking AI lab, and explores how this is a critical step towards a future of broadly accessible AI solutions across scientific disciplines.Additional materials: www.superdatascience.com/756Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 09 Feb 2024 12:00:00 -0000</pubDate>
      <itunes:title>756: AlphaGeometry: AI is Suddenly as Capable as the Brightest Math Minds</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0b1c83c0-1c32-11ef-9765-4378d421e9ae/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>AlphaGeometry, intuitive AI, and geometric deduction: In this week’s Five-Minute Friday, Super Data Science host Jon Krohn looks into developments from DeepMind, Google’s ground-breaking AI lab, and explores how this is a critical step towards a future of broadly accessible AI solutions across scientific disciplines.Additional materials: www.superdatascience.com/756Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:subtitle>
      <itunes:summary>AlphaGeometry, intuitive AI, and geometric deduction: In this week’s Five-Minute Friday, Super Data Science host Jon Krohn looks into developments from DeepMind, Google’s ground-breaking AI lab, and explores how this is a critical step towards a future of broadly accessible AI solutions across scientific disciplines.Additional materials: www.superdatascience.com/756Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>AlphaGeometry, intuitive AI, and geometric deduction: In this week’s Five-Minute Friday, Super Data Science host Jon Krohn looks into developments from DeepMind, Google’s ground-breaking AI lab, and explores how this is a critical step towards a future of broadly accessible AI solutions across scientific disciplines.<br><br>Additional materials: <a href="https://www.superdatascience.com/756">www.superdatascience.com/756</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>525</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14463651]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3007210343.mp3?updated=1716818974" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>755: Brewing Beer with A.I., with Beau Warren</title>
      <description>ChatGPT applications and data-driven beer: Beer brewer and Super Data Science regular listener Beau Warren talks to Jon Krohn about the wonders of “sweaty ales”, how to brew beer with data, and how to get started on creative machine learning projects even without a degree in data science.This episode is brought to you by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• About Species X [06:31]• How to become a certified beer taster [12:37]• How Beau checks the quality of his beer [25:01]• Beau and Jon’s machine learning project [38:02]• About genetic algorithms [52:35]• How to get creativity out of LLMs [1:24:46]Additional materials: www.superdatascience.com/755</description>
      <pubDate>Tue, 06 Feb 2024 12:00:00 -0000</pubDate>
      <itunes:title>755: Brewing Beer with A.I., with Beau Warren</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0ba08698-1c32-11ef-9765-df076cad81fd/image/e5701e16e3237a5c9bd8cda74f6d7f13.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>ChatGPT applications and data-driven beer: Beer brewer and Super Data Science regular listener Beau Warren talks to Jon Krohn about the wonders of “sweaty ales”, how to brew beer with data, and how to get started on creative machine learning projects even without a degree in data science.This episode is brought to you by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this ...</itunes:subtitle>
      <itunes:summary>ChatGPT applications and data-driven beer: Beer brewer and Super Data Science regular listener Beau Warren talks to Jon Krohn about the wonders of “sweaty ales”, how to brew beer with data, and how to get started on creative machine learning projects even without a degree in data science.This episode is brought to you by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• About Species X [06:31]• How to become a certified beer taster [12:37]• How Beau checks the quality of his beer [25:01]• Beau and Jon’s machine learning project [38:02]• About genetic algorithms [52:35]• How to get creativity out of LLMs [1:24:46]Additional materials: www.superdatascience.com/755</itunes:summary>
      <content:encoded>
        <![CDATA[<p>ChatGPT applications and data-driven beer: Beer brewer and Super Data Science regular listener Beau Warren talks to Jon Krohn about the wonders of “sweaty ales”, how to brew beer with data, and how to get started on creative machine learning projects even without a degree in data science.<br><br>This episode is brought to you by <a href="http://www.cloudwolf.com/sds">CloudWolf</a>, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• About Species X [06:31]<br>• How to become a certified beer taster [12:37]<br>• How Beau checks the quality of his beer [25:01]<br>• Beau and Jon’s machine learning project [38:02]<br>• About genetic algorithms [52:35]<br>• How to get creativity out of LLMs [1:24:46]<br><br>Additional materials: <a href="https://www.superdatascience.com/755">www.superdatascience.com/755</a></p>]]>
      </content:encoded>
      <itunes:duration>5743</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14442849]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9450125387.mp3?updated=1716818978" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>754: A Code-Specialized LLM Will Realize AGI, with Jason Warner</title>
      <description>Explore the future of coding with poolside co-founder and CEO Jason Warner as he explores the potential of code-specialized LLMs and their revolutionary impact on the developer's role. Tune in for insights on the shift towards an AI-led development paradigm.Additional materials: www.superdatascience.com/754Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 02 Feb 2024 12:00:00 -0000</pubDate>
      <itunes:title>754: A Code-Specialized LLM Will Realize AGI, with Jason Warner</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0c398636-1c32-11ef-9765-43c9cb37c1a3/image/f4582188ac78a3f9ff905244291fd362.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Explore the future of coding with poolside co-founder and CEO Jason Warner as he explores the potential of code-specialized LLMs and their revolutionary impact on the developer's role. Tune in for insights on the shift towards an AI-led development paradigm.Additional materials: www.superdatascience.com/754Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:subtitle>
      <itunes:summary>Explore the future of coding with poolside co-founder and CEO Jason Warner as he explores the potential of code-specialized LLMs and their revolutionary impact on the developer's role. Tune in for insights on the shift towards an AI-led development paradigm.Additional materials: www.superdatascience.com/754Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Explore the future of coding with poolside co-founder and CEO Jason Warner as he explores the potential of code-specialized LLMs and their revolutionary impact on the developer's role. Tune in for insights on the shift towards an AI-led development paradigm.<br><br>Additional materials: <a href="https://www.superdatascience.com/754">www.superdatascience.com/754</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2221</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14419723]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1153004257.mp3?updated=1716818976" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>753: Blend Any Programming Languages in Your ML Workflows, with Dr. Greg Michaelson</title>
      <description>Explore the future of collaborative ML workflows in this engaging episode with Dr. Greg Michaelson, Co-Founder of Zerve. Dr. Michaelson introduces the groundbreaking Zerve IDE and Pypelines project, addressing the critical gap in AutoML for commercial use and pinpointing why many A.I. projects don't meet their objectives. Gain insights into steering AI initiatives towards success and enhancing project communication, all in this insightful session. This episode is brought to you by Oracle NetSuite business software, and by Prophets of AI, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Why Zerve IDE is so sorely needed [04:50]• Pypelines: AutoML open-source in python [30:00]• Why most commercial A.I. projects fail and how to ensure they succeed [47:45]• How AutoML will impact the role of the data scientist [53:21]• Greg's background as a pastor and working at DataRobot [1:03:40]• How to develop impressive communication and storytelling skills [1:16:16]Additional materials: www.superdatascience.com/753</description>
      <pubDate>Tue, 30 Jan 2024 12:00:00 -0000</pubDate>
      <itunes:title>753: Blend Any Programming Languages in Your ML Workflows, with Dr. Greg Michaelson</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0cda4da0-1c32-11ef-9765-a3921362a3a6/image/a31645e9de169f3e396f4b973b33a8eb.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Explore the future of collaborative ML workflows in this engaging episode with Dr. Greg Michaelson, Co-Founder of Zerve. Dr. Michaelson introduces the groundbreaking Zerve IDE and Pypelines project, addressing the critical gap in AutoML for commercial use and pinpointing why many A.I. projects don't meet their objectives. Gain insights into steering AI initiatives towards success and enhancing project communication, all in this insightful session. This episode is brought to you by Oracle NetS...</itunes:subtitle>
      <itunes:summary>Explore the future of collaborative ML workflows in this engaging episode with Dr. Greg Michaelson, Co-Founder of Zerve. Dr. Michaelson introduces the groundbreaking Zerve IDE and Pypelines project, addressing the critical gap in AutoML for commercial use and pinpointing why many A.I. projects don't meet their objectives. Gain insights into steering AI initiatives towards success and enhancing project communication, all in this insightful session. This episode is brought to you by Oracle NetSuite business software, and by Prophets of AI, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Why Zerve IDE is so sorely needed [04:50]• Pypelines: AutoML open-source in python [30:00]• Why most commercial A.I. projects fail and how to ensure they succeed [47:45]• How AutoML will impact the role of the data scientist [53:21]• Greg's background as a pastor and working at DataRobot [1:03:40]• How to develop impressive communication and storytelling skills [1:16:16]Additional materials: www.superdatascience.com/753</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Explore the future of collaborative ML workflows in this engaging episode with Dr. Greg Michaelson, Co-Founder of Zerve. Dr. Michaelson introduces the groundbreaking Zerve IDE and Pypelines project, addressing the critical gap in AutoML for commercial use and pinpointing why many A.I. projects don't meet their objectives. Gain insights into steering AI initiatives towards success and enhancing project communication, all in this insightful session. <br><br>This episode is brought to you by <a href="https://netsuite.com/superdata">Oracle NetSuite</a> business software, and by <a href="https://prophetsofai.com/">Prophets of AI</a>, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Why Zerve IDE is so sorely needed [04:50]<br>• Pypelines: AutoML open-source in python [30:00]<br>• Why most commercial A.I. projects fail and how to ensure they succeed [47:45]<br>• How AutoML will impact the role of the data scientist [53:21]<br>• Greg's background as a pastor and working at DataRobot [1:03:40]<br>• How to develop impressive communication and storytelling skills [1:16:16]<br><br>Additional materials: <a href="https://www.superdatascience.com/753">www.superdatascience.com/753</a></p>]]>
      </content:encoded>
      <itunes:duration>5180</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14404319]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2143864651.mp3?updated=1716818976" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>752: AI is Disadvantaging Job Applicants, But You Can Fight Back</title>
      <description>Jon Krohn interviews Hilke Schellmann about the ethics of recruitment algorithms, the field’s current state of play, and what can be improved about AI used in recruiting.Additional materials: www.superdatascience.com/752Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 26 Jan 2024 12:00:00 -0000</pubDate>
      <itunes:title>752: AI is Disadvantaging Job Applicants, But You Can Fight Back</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0d4d7f8c-1c32-11ef-9765-e3de97f519c0/image/462304ea88fd30d6d18301797c084dea.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn interviews Hilke Schellmann about the ethics of recruitment algorithms, the field’s current state of play, and what can be improved about AI used in recruiting.Additional materials: www.superdatascience.com/752Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:subtitle>
      <itunes:summary>Jon Krohn interviews Hilke Schellmann about the ethics of recruitment algorithms, the field’s current state of play, and what can be improved about AI used in recruiting.Additional materials: www.superdatascience.com/752Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn interviews Hilke Schellmann about the ethics of recruitment algorithms, the field’s current state of play, and what can be improved about AI used in recruiting.<br><br>Additional materials: <a href="https://www.superdatascience.com/752">www.superdatascience.com/752</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>3056</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14368288]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3536126870.mp3?updated=1716818977" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>751: How to Found and Fund Your Own A.I. Startup, with Dr. Rasmus Rothe</title>
      <description>Venture capital and AI, and how to succeed with an AI company in 2024: Rasmus Rothe, Cofounder of Merantix, speaks to Jon Krohn about the Merantix campus in Berlin, how a venture capitalist identifies the best AI startups, the surefire ways for AI company founders to raise venture capital, and the jobs that are most and least vulnerable to disruption by automation.This episode is brought to you by Oracle NetSuite business software, by QuickChat customized AI assistants, and by Prophets of AI, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How Merantix started [05:17]• How does Merantix work and how to apply for funding [08:19]• How to secure AI funding [21:02]• How AI companies can prove competitiveness [33:46]• Ensuring AI regulation [41:17]• How AI will change the future of work [56:56]Additional materials: www.superdatascience.com/751</description>
      <pubDate>Tue, 23 Jan 2024 12:00:00 -0000</pubDate>
      <itunes:title>751: How to Found and Fund Your Own A.I. Startup, with Dr. Rasmus Rothe</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0dc070f0-1c32-11ef-9765-1f28517adad0/image/e4694f593167ec303f0c46a0c3ed35f3.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Venture capital and AI, and how to succeed with an AI company in 2024: Rasmus Rothe, Cofounder of Merantix, speaks to Jon Krohn about the Merantix campus in Berlin, how a venture capitalist identifies the best AI startups, the surefire ways for AI company founders to raise venture capital, and the jobs that are most and least vulnerable to disruption by automation.This episode is brought to you by Oracle NetSuite business software, by QuickChat customized AI assistants, and by Prophets of AI,...</itunes:subtitle>
      <itunes:summary>Venture capital and AI, and how to succeed with an AI company in 2024: Rasmus Rothe, Cofounder of Merantix, speaks to Jon Krohn about the Merantix campus in Berlin, how a venture capitalist identifies the best AI startups, the surefire ways for AI company founders to raise venture capital, and the jobs that are most and least vulnerable to disruption by automation.This episode is brought to you by Oracle NetSuite business software, by QuickChat customized AI assistants, and by Prophets of AI, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How Merantix started [05:17]• How does Merantix work and how to apply for funding [08:19]• How to secure AI funding [21:02]• How AI companies can prove competitiveness [33:46]• Ensuring AI regulation [41:17]• How AI will change the future of work [56:56]Additional materials: www.superdatascience.com/751</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Venture capital and AI, and how to succeed with an AI company in 2024: Rasmus Rothe, Cofounder of Merantix, speaks to Jon Krohn about the Merantix campus in Berlin, how a venture capitalist identifies the best AI startups, the surefire ways for AI company founders to raise venture capital, and the jobs that are most and least vulnerable to disruption by automation.<br><br>This episode is brought to you by <a href="https://netsuite.com/superdata">Oracle NetSuite</a> business software, by <a href="https://quickchat.ai">QuickChat</a> customized AI assistants, and by <a href="https://prophetsofai.com">Prophets of AI</a>, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• How Merantix started [05:17]<br>• How does Merantix work and how to apply for funding [08:19]<br>• How to secure AI funding [21:02]<br>• How AI companies can prove competitiveness [33:46]<br>• Ensuring AI regulation [41:17]<br>• How AI will change the future of work [56:56]<br><br>Additional materials: <a href="https://www.superdatascience.com/751">www.superdatascience.com/751</a></p>]]>
      </content:encoded>
      <itunes:duration>4709</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>750: How A.I. is Transforming Science</title>
      <description>Explore the transformative power of AI in science. Jon Krohn reviews the groundbreaking AI-driven discoveries at MIT and beyond, showcasing how AI is reshaping various scientific fields, from pharmaceuticals to climate science, and pondering the balance between AI's capabilities and human ingenuity.Additional materials: www.superdatascience.com/750Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 19 Jan 2024 12:00:00 -0000</pubDate>
      <itunes:title>750: How A.I. is Transforming Science</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0e38302c-1c32-11ef-9765-17f084b30334/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Explore the transformative power of AI in science. Jon Krohn reviews the groundbreaking AI-driven discoveries at MIT and beyond, showcasing how AI is reshaping various scientific fields, from pharmaceuticals to climate science, and pondering the balance between AI's capabilities and human ingenuity.Additional materials: www.superdatascience.com/750Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:subtitle>
      <itunes:summary>Explore the transformative power of AI in science. Jon Krohn reviews the groundbreaking AI-driven discoveries at MIT and beyond, showcasing how AI is reshaping various scientific fields, from pharmaceuticals to climate science, and pondering the balance between AI's capabilities and human ingenuity.Additional materials: www.superdatascience.com/750Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Explore the transformative power of AI in science. Jon Krohn reviews the groundbreaking AI-driven discoveries at MIT and beyond, showcasing how AI is reshaping various scientific fields, from pharmaceuticals to climate science, and pondering the balance between AI's capabilities and human ingenuity.<br><br>Additional materials: <a href="https://www.superdatascience.com/750">www.superdatascience.com/750</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>581</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14332729]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3321960446.mp3?updated=1716818979" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>749: Data Science for Clean Energy, with Emily Pastewka</title>
      <description>Data science for clean energy takes center stage as Emily Pastewka from Palmetto joins Jon Krohn this week, exploring innovative paths to a sustainable future. This episode covers the impact of AI on smart energy choices, the creation of a smart grid, and the wide array of professionals required to bring cleantech data solutions to life.This episode is brought to you by Prophets of AI, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Emily on her Master's in Deep Learning [08:20]• Using AI to solve clean energy challenges at Palmetto [17:22]• The different roles needed to solve cleantech problems [27:33]• How econometrics impacts consumer decision-making [38:56]• How Emily manages high-performing teams [56:30]• The tools and technologies that drive small teams [1:06:58]Additional materials: www.superdatascience.com/749</description>
      <pubDate>Tue, 16 Jan 2024 12:00:00 -0000</pubDate>
      <itunes:title>749: Data Science for Clean Energy, with Emily Pastewka</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0eb46f02-1c32-11ef-9765-b31731cc83ef/image/5041ddb5f81c1d38061a4dc842cd0381.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Data science for clean energy takes center stage as Emily Pastewka from Palmetto joins Jon Krohn this week, exploring innovative paths to a sustainable future. This episode covers the impact of AI on smart energy choices, the creation of a smart grid, and the wide array of professionals required to bring cleantech data solutions to life.This episode is brought to you by Prophets of AI, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit passio...</itunes:subtitle>
      <itunes:summary>Data science for clean energy takes center stage as Emily Pastewka from Palmetto joins Jon Krohn this week, exploring innovative paths to a sustainable future. This episode covers the impact of AI on smart energy choices, the creation of a smart grid, and the wide array of professionals required to bring cleantech data solutions to life.This episode is brought to you by Prophets of AI, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Emily on her Master's in Deep Learning [08:20]• Using AI to solve clean energy challenges at Palmetto [17:22]• The different roles needed to solve cleantech problems [27:33]• How econometrics impacts consumer decision-making [38:56]• How Emily manages high-performing teams [56:30]• The tools and technologies that drive small teams [1:06:58]Additional materials: www.superdatascience.com/749</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Data science for clean energy takes center stage as Emily Pastewka from Palmetto joins Jon Krohn this week, exploring innovative paths to a sustainable future. This episode covers the impact of AI on smart energy choices, the creation of a smart grid, and the wide array of professionals required to bring cleantech data solutions to life.<br><br>This episode is brought to you by <a href="https://prophetsofai.com/">Prophets of AI</a>, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Emily on her Master's in Deep Learning [08:20]<br>• Using AI to solve clean energy challenges at Palmetto [17:22]<br>• The different roles needed to solve cleantech problems [27:33]<br>• How econometrics impacts consumer decision-making [38:56]<br>• How Emily manages high-performing teams [56:30]<br>• The tools and technologies that drive small teams [1:06:58]<br><br>Additional materials: <a href="https://www.superdatascience.com/749">www.superdatascience.com/749</a></p>]]>
      </content:encoded>
      <itunes:duration>4614</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    <item>
      <title>748: The Five Levels of AGI</title>
      <description>Artificial General Intelligence gets a new definition: This episode introduces Google DeepMind’s paper, “Levels of AGI: Operationalizing Progress on the Path to AGI”. Hear how its authors have organized narrow and general AI into hierarchical categories defined by human capability, from Level 0 (no AI) and Level 1 (equal to or somewhat better than an unskilled human) to Level 5 (able to outperform 100% of humans). A scary thought? Or a vision of a better future? Host Jon Krohn details the strengths of this research in this Five-Minute Friday.Additional materials: www.superdatascience.com/748Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 12 Jan 2024 12:00:00 -0000</pubDate>
      <itunes:title>748: The Five Levels of AGI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0f2d0b1a-1c32-11ef-9765-5375e64ca66a/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Artificial General Intelligence gets a new definition: This episode introduces Google DeepMind’s paper, “Levels of AGI: Operationalizing Progress on the Path to AGI”. Hear how its authors have organized narrow and general AI into hierarchical categories defined by human capability, from Level 0 (no AI) and Level 1 (equal to or somewhat better than an unskilled human) to Level 5 (able to outperform 100% of humans). A scary thought? Or a vision of a better future? Host Jon Krohn details the str...</itunes:subtitle>
      <itunes:summary>Artificial General Intelligence gets a new definition: This episode introduces Google DeepMind’s paper, “Levels of AGI: Operationalizing Progress on the Path to AGI”. Hear how its authors have organized narrow and general AI into hierarchical categories defined by human capability, from Level 0 (no AI) and Level 1 (equal to or somewhat better than an unskilled human) to Level 5 (able to outperform 100% of humans). A scary thought? Or a vision of a better future? Host Jon Krohn details the strengths of this research in this Five-Minute Friday.Additional materials: www.superdatascience.com/748Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Artificial General Intelligence gets a new definition: This episode introduces Google DeepMind’s paper, “Levels of AGI: Operationalizing Progress on the Path to AGI”. Hear how its authors have organized narrow and general AI into hierarchical categories defined by human capability, from Level 0 (no AI) and Level 1 (equal to or somewhat better than an unskilled human) to Level 5 (able to outperform 100% of humans). A scary thought? Or a vision of a better future? Host Jon Krohn details the strengths of this research in this Five-Minute Friday.<br><br>Additional materials: <a href="https://www.superdatascience.com/748">www.superdatascience.com/748</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>680</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3214534823.mp3?updated=1716818980" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>747: Technical Intro to Transformers and LLMs, with Kirill Eremenko</title>
      <description>Attention and transformers in LLMs, the five stages of data processing, and a brand-new Large Language Models A-Z course: Kirill Eremenko joins host Jon Krohn to explore what goes into well-crafted LLMs, what makes Transformers so powerful, and how to succeed as a data scientist in this new age of generative AI.This episode is brought to you by Intel and HPE Ezmeral Software Solutions, and by Prophets of AI, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Supply and demand in AI recruitment [08:30]• Kirill and Hadelin's new course on LLMs, “Large Language Models (LLMs), Transformers &amp; GPT A-Z” [15:37]• The learning difficulty in understanding LLMs [19:46]• The basics of LLMs [22:00]• The five building blocks of transformer architecture [36:29]- 1: Input embedding [44:10]- 2: Positional encoding [50:46]- 3: Attention mechanism [54:04]- 4: Feedforward neural network [1:16:17]- 5: Linear transformation and softmax [1:19:16]• Inference vs training time [1:29:12]• Why transformers are so powerful [1:49:22]Additional materials: www.superdatascience.com/747</description>
      <pubDate>Tue, 09 Jan 2024 12:00:00 -0000</pubDate>
      <itunes:title>747: Technical Intro to Transformers and LLMs, with Kirill Eremenko</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0fc0ae6a-1c32-11ef-9765-771f7a98a874/image/17f48e32879db0c35870addc49e0d0ca.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Attention and transformers in LLMs, the five stages of data processing, and a brand-new Large Language Models A-Z course: Kirill Eremenko joins host Jon Krohn to explore what goes into well-crafted LLMs, what makes Transformers so powerful, and how to succeed as a data scientist in this new age of generative AI.This episode is brought to you by Intel and HPE Ezmeral Software Solutions, and by Prophets of AI, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcas...</itunes:subtitle>
      <itunes:summary>Attention and transformers in LLMs, the five stages of data processing, and a brand-new Large Language Models A-Z course: Kirill Eremenko joins host Jon Krohn to explore what goes into well-crafted LLMs, what makes Transformers so powerful, and how to succeed as a data scientist in this new age of generative AI.This episode is brought to you by Intel and HPE Ezmeral Software Solutions, and by Prophets of AI, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Supply and demand in AI recruitment [08:30]• Kirill and Hadelin's new course on LLMs, “Large Language Models (LLMs), Transformers &amp; GPT A-Z” [15:37]• The learning difficulty in understanding LLMs [19:46]• The basics of LLMs [22:00]• The five building blocks of transformer architecture [36:29]- 1: Input embedding [44:10]- 2: Positional encoding [50:46]- 3: Attention mechanism [54:04]- 4: Feedforward neural network [1:16:17]- 5: Linear transformation and softmax [1:19:16]• Inference vs training time [1:29:12]• Why transformers are so powerful [1:49:22]Additional materials: www.superdatascience.com/747</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Attention and transformers in LLMs, the five stages of data processing, and a brand-new Large Language Models A-Z course: Kirill Eremenko joins host Jon Krohn to explore what goes into well-crafted LLMs, what makes Transformers so powerful, and how to succeed as a data scientist in this new age of generative AI.<br><br>This episode is brought to you by <a href="https://hpe.com/ezmeral/chatwithyourdata">Intel and HPE Ezmeral Software Solutions</a>, and by <a href="https://prophetsofai.com">Prophets of AI</a>, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Supply and demand in AI recruitment [08:30]<br>• Kirill and Hadelin's new course on LLMs, “Large Language Models (LLMs), Transformers &amp; GPT A-Z” [15:37]<br>• The learning difficulty in understanding LLMs [19:46]<br>• The basics of LLMs [22:00]<br>• The five building blocks of transformer architecture [36:29]<br>- 1: Input embedding [44:10]<br>- 2: Positional encoding [50:46]<br>- 3: Attention mechanism [54:04]<br>- 4: Feedforward neural network [1:16:17]<br>- 5: Linear transformation and softmax [1:19:16]<br>• Inference vs training time [1:29:12]<br>• Why transformers are so powerful [1:49:22]<br><br>Additional materials: <a href="https://www.superdatascience.com/747">www.superdatascience.com/747</a></p>]]>
      </content:encoded>
      <itunes:duration>7591</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    <item>
      <title>746: A Continuous Calendar for 2024</title>
      <description>Jon’s continuous calendar for 2024 is here! Now in an updated format, learn about its unique layout and benefits, and how it can revolutionize your planning for the new yearAdditional materials: www.superdatascience.com/746Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 05 Jan 2024 12:00:00 -0000</pubDate>
      <itunes:title>746: A Continuous Calendar for 2024</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1072e67a-1c32-11ef-9765-17decad5d021/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon’s continuous calendar for 2024 is here! Now in an updated format, learn about its unique layout and benefits, and how it can revolutionize your planning for the new yearAdditional materials: www.superdatascience.com/746Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:subtitle>
      <itunes:summary>Jon’s continuous calendar for 2024 is here! Now in an updated format, learn about its unique layout and benefits, and how it can revolutionize your planning for the new yearAdditional materials: www.superdatascience.com/746Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon’s continuous calendar for 2024 is here! Now in an updated format, learn about its unique layout and benefits, and how it can revolutionize your planning for the new year<br><br>Additional materials: <a href="https://www.superdatascience.com/746">www.superdatascience.com/746</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>169</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14239198]]></guid>
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    </item>
    <item>
      <title>745: 2024 Data Science Trend Predictions</title>
      <description>2024 data science trends take the spotlight in this special episode, where Jon joins Sadie St. Lawrence to analyze last year's predictions and delve into the emerging technologies reshaping the field. From AI hardware accelerators to the transformative role of large language models, this episode is a treasure trove of insights for anyone interested in the future of data science. This episode is brought to you by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Reviewing predictions for 2023 [05:56]• Sadie's trend predictions for 2024 [20:49]• 1: Hardware evolution [21:17]• 2: LLMOS [35:30]• 3: Slow-thinking model [48:18]• 4: Tool consolidation [54:46]• 5: Workforce Upheaval [58:06]• Jon's predictions [1:06:26]• 1: AI bubble bursting [1:08:11]• 2: Breakthroughs in Edge AI [1:12:22]• Sadie on her productivity planner [1:17:50]Additional materials: www.superdatascience.com/745</description>
      <pubDate>Tue, 02 Jan 2024 12:00:00 -0000</pubDate>
      <itunes:title>745: 2024 Data Science Trend Predictions</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/111824d2-1c32-11ef-9765-2f9d9a3f5993/image/a54d63a0d095335cd18732b8ff33c6d6.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>2024 data science trends take the spotlight in this special episode, where Jon joins Sadie St. Lawrence to analyze last year's predictions and delve into the emerging technologies reshaping the field. From AI hardware accelerators to the transformative role of large language models, this episode is a treasure trove of insights for anyone interested in the future of data science. This episode is brought to you by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataSc...</itunes:subtitle>
      <itunes:summary>2024 data science trends take the spotlight in this special episode, where Jon joins Sadie St. Lawrence to analyze last year's predictions and delve into the emerging technologies reshaping the field. From AI hardware accelerators to the transformative role of large language models, this episode is a treasure trove of insights for anyone interested in the future of data science. This episode is brought to you by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Reviewing predictions for 2023 [05:56]• Sadie's trend predictions for 2024 [20:49]• 1: Hardware evolution [21:17]• 2: LLMOS [35:30]• 3: Slow-thinking model [48:18]• 4: Tool consolidation [54:46]• 5: Workforce Upheaval [58:06]• Jon's predictions [1:06:26]• 1: AI bubble bursting [1:08:11]• 2: Breakthroughs in Edge AI [1:12:22]• Sadie on her productivity planner [1:17:50]Additional materials: www.superdatascience.com/745</itunes:summary>
      <content:encoded>
        <![CDATA[<p>2024 data science trends take the spotlight in this special episode, where Jon joins Sadie St. Lawrence to analyze last year's predictions and delve into the emerging technologies reshaping the field. From AI hardware accelerators to the transformative role of large language models, this episode is a treasure trove of insights for anyone interested in the future of data science. <br><br>This episode is brought to you by <a href="http://www.cloudwolf.com/sds">CloudWolf</a>, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Reviewing predictions for 2023 [05:56]<br>• Sadie's trend predictions for 2024 [20:49]<br>• 1: Hardware evolution [21:17]<br>• 2: LLMOS [35:30]<br>• 3: Slow-thinking model [48:18]<br>• 4: Tool consolidation [54:46]<br>• 5: Workforce Upheaval [58:06]<br>• Jon's predictions [1:06:26]<br>• 1: AI bubble bursting [1:08:11]<br>• 2: Breakthroughs in Edge AI [1:12:22]<br>• Sadie on her productivity planner [1:17:50]<br><br>Additional materials: <a href="https://www.superdatascience.com/745">www.superdatascience.com/745</a></p>]]>
      </content:encoded>
      <itunes:duration>5409</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>744: To a Peaceful 2024</title>
      <description>2023: A year of great movement and change. Technological developments have rocketed generative AI’s capabilities into the stratosphere of possibilities for future approaches to work, health, and play. Host Jon Krohn recognizes the benefits we have seen over the past year, discusses the important role we all have in ensuring ethics remains at the core of AI development and use, and he ends the year with a musical surprise for his listeners!Additional materials: www.superdatascience.com/744Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</description>
      <pubDate>Fri, 29 Dec 2023 12:00:00 -0000</pubDate>
      <itunes:title>744: To a Peaceful 2024</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1193e3f6-1c32-11ef-9765-1388fc38b548/image/374fca600210259b8195c7a74cf6a79f.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>2023: A year of great movement and change. Technological developments have rocketed generative AI’s capabilities into the stratosphere of possibilities for future approaches to work, health, and play. Host Jon Krohn recognizes the benefits we have seen over the past year, discusses the important role we all have in ensuring ethics remains at the core of AI development and use, and he ends the year with a musical surprise for his listeners!Additional materials: www.superdatascience.com/744Inte...</itunes:subtitle>
      <itunes:summary>2023: A year of great movement and change. Technological developments have rocketed generative AI’s capabilities into the stratosphere of possibilities for future approaches to work, health, and play. Host Jon Krohn recognizes the benefits we have seen over the past year, discusses the important role we all have in ensuring ethics remains at the core of AI development and use, and he ends the year with a musical surprise for his listeners!Additional materials: www.superdatascience.com/744Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>2023: A year of great movement and change. Technological developments have rocketed generative AI’s capabilities into the stratosphere of possibilities for future approaches to work, health, and play. Host Jon Krohn recognizes the benefits we have seen over the past year, discusses the important role we all have in ensuring ethics remains at the core of AI development and use, and he ends the year with a musical surprise for his listeners!<br><br>Additional materials: <a href="https://www.superdatascience.com/744">www.superdatascience.com/744</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>373</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>743: How to Integrate Generative A.I. Into Your Business, with Piotr Grudzień</title>
      <description>Chatbots, large language models and generative AI: Founder of Quickchat AI Piotr Grudzień believes the key to any successful AI platform is to ensure it can be tailored to a company’s specific needs. He speaks to host Jon Krohn about helping clients generate realistic and satisfying conversations that help their customer base find what they need quickly.
This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• About Quickchat AI and how it works [02:46]• How to successfully set up a conversational AI [23:58]• What “temperature” is in the context of AI [38:38]• How the LLM landscape has changed in recent years [40:24]• The future of generative AI [57:43]• The advantages of an AI accelerator [1:09:38]Additional materials: www.superdatascience.com/743</description>
      <pubDate>Tue, 26 Dec 2023 12:00:00 -0000</pubDate>
      <itunes:title>743: How to Integrate Generative A.I. Into Your Business, with Piotr Grudzień</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/121c4b9c-1c32-11ef-9765-bb2388107679/image/016540813af0d16b93665eeb3461f0b6.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Chatbots, large language models and generative AI: Founder of Quickchat AI Piotr Grudzień believes the key to any successful AI platform is to ensure it can be tailored to a company’s specific needs. He speaks to host Jon Krohn about helping clients generate realistic and satisfying conversations that help their customer base find what they need quickly.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in ...</itunes:subtitle>
      <itunes:summary>Chatbots, large language models and generative AI: Founder of Quickchat AI Piotr Grudzień believes the key to any successful AI platform is to ensure it can be tailored to a company’s specific needs. He speaks to host Jon Krohn about helping clients generate realistic and satisfying conversations that help their customer base find what they need quickly.
This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• About Quickchat AI and how it works [02:46]• How to successfully set up a conversational AI [23:58]• What “temperature” is in the context of AI [38:38]• How the LLM landscape has changed in recent years [40:24]• The future of generative AI [57:43]• The advantages of an AI accelerator [1:09:38]Additional materials: www.superdatascience.com/743</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Chatbots, large language models and generative AI: Founder of Quickchat AI Piotr Grudzień believes the key to any successful AI platform is to ensure it can be tailored to a company’s specific needs. He speaks to host Jon Krohn about helping clients generate realistic and satisfying conversations that help their customer base find what they need quickly.</p><p>This episode is brought to you by <a href="https://gurobi.com/sds">Gurobi</a>, the Decision Intelligence Leader,  and by <a href="http://www.cloudwolf.com/sds">CloudWolf</a>, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://passionfroot.me/superdatascience">passionfroot.me/superdatascience</a> for sponsorship information.<br><br>In this episode you will learn:<br>• About Quickchat AI and how it works [02:46]<br>• How to successfully set up a conversational AI [23:58]<br>• What “temperature” is in the context of AI [38:38]<br>• How the LLM landscape has changed in recent years [40:24]<br>• The future of generative AI [57:43]<br>• The advantages of an AI accelerator [1:09:38]<br><br>Additional materials: <a href="https://www.superdatascience.com/743">www.superdatascience.com/743</a></p>]]>
      </content:encoded>
      <itunes:duration>4760</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    <item>
      <title>742: Happy Holidays from All of Us</title>
      <description>Join us on a brief journey through the AI world in 2023. A year ago, GPT-3.5 crafting our holiday message was a marvel, but now, with GPT-4's arrival, we're seeing an even more astounding evolution in AI. As we wave goodbye to the trend of generative AI, the Super Data Science Podcast team is bringing a personal touch back. Tune in for our heartfelt Happy Holidays message and a big thank you to all our listeners for your unwavering support.Additional materials: www.superdatascience.com/742Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 22 Dec 2023 12:00:00 -0000</pubDate>
      <itunes:title>742: Happy Holidays from All of Us</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:subtitle>Join us on a brief journey through the AI world in 2023. A year ago, GPT-3.5 crafting our holiday message was a marvel, but now, with GPT-4's arrival, we're seeing an even more astounding evolution in AI. As we wave goodbye to the trend of generative AI, the Super Data Science Podcast team is bringing a personal touch back. Tune in for our heartfelt Happy Holidays message and a big thank you to all our listeners for your unwavering support.Additional materials: www.superdatascience.com/742Int...</itunes:subtitle>
      <itunes:summary>Join us on a brief journey through the AI world in 2023. A year ago, GPT-3.5 crafting our holiday message was a marvel, but now, with GPT-4's arrival, we're seeing an even more astounding evolution in AI. As we wave goodbye to the trend of generative AI, the Super Data Science Podcast team is bringing a personal touch back. Tune in for our heartfelt Happy Holidays message and a big thank you to all our listeners for your unwavering support.Additional materials: www.superdatascience.com/742Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Join us on a brief journey through the AI world in 2023. A year ago, GPT-3.5 crafting our holiday message was a marvel, but now, with GPT-4's arrival, we're seeing an even more astounding evolution in AI. As we wave goodbye to the trend of generative AI, the Super Data Science Podcast team is bringing a personal touch back. Tune in for our heartfelt Happy Holidays message and a big thank you to all our listeners for your unwavering support.<br><br>Additional materials: <a href="https://www.superdatascience.com/742">www.superdatascience.com/742</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>144</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>741: How to Visualize Data Effectively, with Prof. Alberto Cairo</title>
      <description>Data visualization remains at the forefront as Dr. Alberto Cairo from the University of Miami guides us beyond numerical figures, exploring the art of weaving compelling narratives through data. In his book, "The Art of Insight," he reveals the varied motivations driving visualization experts and highlights the serene, meditative process inherent in crafting visualizations. Emphasizing the fusion of scientific principles and personal style for effective data communication, Dr. Cairo also discusses with Jon the impending impact of AI on both interactive and static graphics.This episode is brought to you by Gurobi, the Decision Intelligence Leader, by Intel and HPE Ezmeral Software Solutions, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Alberto's book, The Art of Insight [04:07]• How to transform data into engaging visuals [07:06]• What it takes to enter in a meditation-like flow state when creating visualizations [11:21]• How balancing the science of visualization with one’s personal style [29:29]• The importance of Smart Brevity for great data visualizations [37:32]• How data visualization can drive social change [42:31]• How diversity in designers enriches the field [52:07]• The future of data visualizations [59:10]Additional materials: www.superdatascience.com/741</description>
      <pubDate>Tue, 19 Dec 2023 12:00:00 -0000</pubDate>
      <itunes:title>741: How to Visualize Data Effectively, with Prof. Alberto Cairo</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/12d37434-1c32-11ef-9765-137f1ca157bb/image/d946af11ba62afb7ecda38fbef10d2fd.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Data visualization remains at the forefront as Dr. Alberto Cairo from the University of Miami guides us beyond numerical figures, exploring the art of weaving compelling narratives through data. In his book, "The Art of Insight," he reveals the varied motivations driving visualization experts and highlights the serene, meditative process inherent in crafting visualizations. Emphasizing the fusion of scientific principles and personal style for effective data communication, Dr. Cairo also disc...</itunes:subtitle>
      <itunes:summary>Data visualization remains at the forefront as Dr. Alberto Cairo from the University of Miami guides us beyond numerical figures, exploring the art of weaving compelling narratives through data. In his book, "The Art of Insight," he reveals the varied motivations driving visualization experts and highlights the serene, meditative process inherent in crafting visualizations. Emphasizing the fusion of scientific principles and personal style for effective data communication, Dr. Cairo also discusses with Jon the impending impact of AI on both interactive and static graphics.This episode is brought to you by Gurobi, the Decision Intelligence Leader, by Intel and HPE Ezmeral Software Solutions, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Alberto's book, The Art of Insight [04:07]• How to transform data into engaging visuals [07:06]• What it takes to enter in a meditation-like flow state when creating visualizations [11:21]• How balancing the science of visualization with one’s personal style [29:29]• The importance of Smart Brevity for great data visualizations [37:32]• How data visualization can drive social change [42:31]• How diversity in designers enriches the field [52:07]• The future of data visualizations [59:10]Additional materials: www.superdatascience.com/741</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Data visualization remains at the forefront as Dr. Alberto Cairo from the University of Miami guides us beyond numerical figures, exploring the art of weaving compelling narratives through data. In his book, "The Art of Insight," he reveals the varied motivations driving visualization experts and highlights the serene, meditative process inherent in crafting visualizations. Emphasizing the fusion of scientific principles and personal style for effective data communication, Dr. Cairo also discusses with Jon the impending impact of AI on both interactive and static graphics.<br><br>This episode is brought to you by <a href="https://gurobi.com/sds">Gurobi</a>, the Decision Intelligence Leader, by <a href="https://hpe.com/ezmeral/chatwithyourdata">Intel and HPE Ezmeral Software Solutions</a>, and by <a href="http://www.cloudwolf.com/sds">CloudWolf</a>, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Alberto's book, The Art of Insight [04:07]<br>• How to transform data into engaging visuals [07:06]<br>• What it takes to enter in a meditation-like flow state when creating visualizations [11:21]<br>• How balancing the science of visualization with one’s personal style [29:29]<br>• The importance of Smart Brevity for great data visualizations [37:32]<br>• How data visualization can drive social change [42:31]<br>• How diversity in designers enriches the field [52:07]<br>• The future of data visualizations [59:10]<br><br>Additional materials: <a href="https://www.superdatascience.com/741">www.superdatascience.com/741</a></p>]]>
      </content:encoded>
      <itunes:duration>4692</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    <item>
      <title>740: Q*: OpenAI's Rumored AGI Breakthrough</title>
      <description>Sam Altman’s exit and rehiring, AGI, and OpenAI’s Q*: In this week’s Five-Minute Friday, Jon Krohn peeks behind the curtains of OpenAI, where development of the world’s first model that can solve complex, nonlinear logical problems, Q*, might be well underway. This episode casts light on the rumors behind OpenAI’s Q*, what its emergence could mean for the future of AI, and the controversies already surrounding an agent that has not yet reached the market.Additional materials: www.superdatascience.com/740Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 15 Dec 2023 12:00:00 -0000</pubDate>
      <itunes:title>740: Q*: OpenAI's Rumored AGI Breakthrough</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/134fbdbe-1c32-11ef-9765-df87709daa4a/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Sam Altman’s exit and rehiring, AGI, and OpenAI’s Q*: In this week’s Five-Minute Friday, Jon Krohn peeks behind the curtains of OpenAI, where development of the world’s first model that can solve complex, nonlinear logical problems, Q*, might be well underway. This episode casts light on the rumors behind OpenAI’s Q*, what its emergence could mean for the future of AI, and the controversies already surrounding an agent that has not yet reached the market.Additional materials: www.superdatasci...</itunes:subtitle>
      <itunes:summary>Sam Altman’s exit and rehiring, AGI, and OpenAI’s Q*: In this week’s Five-Minute Friday, Jon Krohn peeks behind the curtains of OpenAI, where development of the world’s first model that can solve complex, nonlinear logical problems, Q*, might be well underway. This episode casts light on the rumors behind OpenAI’s Q*, what its emergence could mean for the future of AI, and the controversies already surrounding an agent that has not yet reached the market.Additional materials: www.superdatascience.com/740Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Sam Altman’s exit and rehiring, AGI, and OpenAI’s Q*: In this week’s Five-Minute Friday, Jon Krohn peeks behind the curtains of OpenAI, where development of the world’s first model that can solve complex, nonlinear logical problems, Q*, might be well underway. This episode casts light on the rumors behind OpenAI’s Q*, what its emergence could mean for the future of AI, and the controversies already surrounding an agent that has not yet reached the market.<br><br>Additional materials: <a href="https://www.superdatascience.com/740">www.superdatascience.com/740</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>675</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14146329]]></guid>
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    <item>
      <title>739: AI is Eating Biology and Chemistry, with Dr. Ingmar Schuster</title>
      <description>AI Protein design, machine learning and cancer care, and pharmaceuticals: At Exazyme, CEO and Co-Founder Ingmar Schuster uses AI to design proteins. He speaks with Jon Krohn about their wider applications in pharmaceuticals and chemistry, how Kernel methods make the design of synthetic biological catalysts more efficient, and when to use shallow machine learning over deep learning.This episode is brought to you by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• On designing proteins with AI [03:14]• Designing proteins at Exazyme [08:22]• About the kernel methods [18:10]• The importance of human-led approaches in protein research [35:44]• Europe’s focus on AI regulation [43:45]• Deep vs shallow in AI [59:35]• How a background in academia helps with entrepreneurship [1:09:17]Additional materials: www.superdatascience.com/739</description>
      <pubDate>Tue, 12 Dec 2023 12:00:00 -0000</pubDate>
      <itunes:title>739: AI is Eating Biology and Chemistry, with Dr. Ingmar Schuster</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/13d03552-1c32-11ef-9765-7bd1dc2b740f/image/f112d37a1f36f1037ee0959226a59972.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>AI Protein design, machine learning and cancer care, and pharmaceuticals: At Exazyme, CEO and Co-Founder Ingmar Schuster uses AI to design proteins. He speaks with Jon Krohn about their wider applications in pharmaceuticals and chemistry, how Kernel methods make the design of synthetic biological catalysts more efficient, and when to use shallow machine learning over deep learning.This episode is brought to you by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataS...</itunes:subtitle>
      <itunes:summary>AI Protein design, machine learning and cancer care, and pharmaceuticals: At Exazyme, CEO and Co-Founder Ingmar Schuster uses AI to design proteins. He speaks with Jon Krohn about their wider applications in pharmaceuticals and chemistry, how Kernel methods make the design of synthetic biological catalysts more efficient, and when to use shallow machine learning over deep learning.This episode is brought to you by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• On designing proteins with AI [03:14]• Designing proteins at Exazyme [08:22]• About the kernel methods [18:10]• The importance of human-led approaches in protein research [35:44]• Europe’s focus on AI regulation [43:45]• Deep vs shallow in AI [59:35]• How a background in academia helps with entrepreneurship [1:09:17]Additional materials: www.superdatascience.com/739</itunes:summary>
      <content:encoded>
        <![CDATA[<p>AI Protein design, machine learning and cancer care, and pharmaceuticals: At Exazyme, CEO and Co-Founder Ingmar Schuster uses AI to design proteins. He speaks with Jon Krohn about their wider applications in pharmaceuticals and chemistry, how Kernel methods make the design of synthetic biological catalysts more efficient, and when to use shallow machine learning over deep learning.<br><br>This episode is brought to you by <a href="https://gurobi.com/sds">Gurobi</a>, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• On designing proteins with AI [03:14]<br>• Designing proteins at Exazyme [08:22]<br>• About the kernel methods [18:10]<br>• The importance of human-led approaches in protein research [35:44]<br>• Europe’s focus on AI regulation [43:45]<br>• Deep vs shallow in AI [59:35]<br>• How a background in academia helps with entrepreneurship [1:09:17]<br><br>Additional materials: <a href="https://www.superdatascience.com/739">www.superdatascience.com/739</a></p>]]>
      </content:encoded>
      <itunes:duration>4902</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14124690]]></guid>
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    <item>
      <title>738: Engineering Biomaterials with Generative AI, with Dr. Pierre Salvy</title>
      <description>Bioengineering and Generative AI converge under the visionary leadership of Dr. Pierre Salvy at Cambrium GmbH, propelling material science into uncharted territories. He sits down with Jon Krohn live at Merantix A.I. Campus in Berlin to discuss how he's transforming material design, exemplified by his swift development of NovaColl, a vegan collagen crafted within two years.Additional materials: www.superdatascience.com/738Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 08 Dec 2023 12:00:00 -0000</pubDate>
      <itunes:title>738: Engineering Biomaterials with Generative AI, with Dr. Pierre Salvy</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1449ddb2-1c32-11ef-9765-0b2d31073da0/image/c41e6a94430fda5fc0c22bb2c33b273a.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Bioengineering and Generative AI converge under the visionary leadership of Dr. Pierre Salvy at Cambrium GmbH, propelling material science into uncharted territories. He sits down with Jon Krohn live at Merantix A.I. Campus in Berlin to discuss how he's transforming material design, exemplified by his swift development of NovaColl, a vegan collagen crafted within two years.Additional materials: www.superdatascience.com/738Interested in sponsoring a SuperDataScience Podcast episode? Visit JonK...</itunes:subtitle>
      <itunes:summary>Bioengineering and Generative AI converge under the visionary leadership of Dr. Pierre Salvy at Cambrium GmbH, propelling material science into uncharted territories. He sits down with Jon Krohn live at Merantix A.I. Campus in Berlin to discuss how he's transforming material design, exemplified by his swift development of NovaColl, a vegan collagen crafted within two years.Additional materials: www.superdatascience.com/738Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Bioengineering and Generative AI converge under the visionary leadership of Dr. Pierre Salvy at Cambrium GmbH, propelling material science into uncharted territories. He sits down with Jon Krohn live at Merantix A.I. Campus in Berlin to discuss how he's transforming material design, exemplified by his swift development of NovaColl, a vegan collagen crafted within two years.<br><br>Additional materials: <a href="https://www.superdatascience.com/738">www.superdatascience.com/738</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1363</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4351033071.mp3?updated=1716818989" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>737: scikit-learn's Past, Present and Future, with scikit-learn co-founder Dr. Gaël Varoquaux</title>
      <description>scikit-learn co-founder Gaël Varoquaux and Jon Krohn are live at the historic Sorbonne in Paris, where they discuss the evolution of scikit-learn. From its origins as a memory-efficient Python implementation of support vector machines to its present-day status as a pivotal resource in machine learning, Gaël paints a vivid picture of its remarkable growth. Join us for a glimpse into scikit-learn's evolution, the realm of open-source collaboration, and the transformative power of data-driven insights in today's dynamic data landscape.This episode is brought to you by Gurobi, the Decision Intelligence Leader, by Data Universe, the out-of-this-world data conference, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• The early beginnings and growth of scikit-learn [05:34]• Development principles of scikit-learn [18:05]• How to apply scikit-learn to your ML problem [21:16]• Resource-efficiency and scikit-learn development [25:32]• How to contribute to an open-source project like scikit-learn yourself [38:21]• The future of scikit-learn [51:13]• Gaël on the social-impact data projects in his Soda lab [1:02:33]• Why domain expertise and statistical rigor are more important than ever [1:11:24]Additional materials: www.superdatascience.com/737</description>
      <pubDate>Tue, 05 Dec 2023 12:00:00 -0000</pubDate>
      <itunes:title>737: scikit-learn's Past, Present and Future, with scikit-learn co-founder Dr. Gaël Varoquaux</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/14c159be-1c32-11ef-9765-57b394faea0d/image/e14cde74720adff56cd9348e7faf61b1.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>scikit-learn co-founder Gaël Varoquaux and Jon Krohn are live at the historic Sorbonne in Paris, where they discuss the evolution of scikit-learn. From its origins as a memory-efficient Python implementation of support vector machines to its present-day status as a pivotal resource in machine learning, Gaël paints a vivid picture of its remarkable growth. Join us for a glimpse into scikit-learn's evolution, the realm of open-source collaboration, and the transformative power of data-driven in...</itunes:subtitle>
      <itunes:summary>scikit-learn co-founder Gaël Varoquaux and Jon Krohn are live at the historic Sorbonne in Paris, where they discuss the evolution of scikit-learn. From its origins as a memory-efficient Python implementation of support vector machines to its present-day status as a pivotal resource in machine learning, Gaël paints a vivid picture of its remarkable growth. Join us for a glimpse into scikit-learn's evolution, the realm of open-source collaboration, and the transformative power of data-driven insights in today's dynamic data landscape.This episode is brought to you by Gurobi, the Decision Intelligence Leader, by Data Universe, the out-of-this-world data conference, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• The early beginnings and growth of scikit-learn [05:34]• Development principles of scikit-learn [18:05]• How to apply scikit-learn to your ML problem [21:16]• Resource-efficiency and scikit-learn development [25:32]• How to contribute to an open-source project like scikit-learn yourself [38:21]• The future of scikit-learn [51:13]• Gaël on the social-impact data projects in his Soda lab [1:02:33]• Why domain expertise and statistical rigor are more important than ever [1:11:24]Additional materials: www.superdatascience.com/737</itunes:summary>
      <content:encoded>
        <![CDATA[<p>scikit-learn co-founder Gaël Varoquaux and Jon Krohn are live at the historic Sorbonne in Paris, where they discuss the evolution of scikit-learn. From its origins as a memory-efficient Python implementation of support vector machines to its present-day status as a pivotal resource in machine learning, Gaël paints a vivid picture of its remarkable growth. Join us for a glimpse into scikit-learn's evolution, the realm of open-source collaboration, and the transformative power of data-driven insights in today's dynamic data landscape.<br><br>This episode is brought to you by <a href="https://gurobi.com/sds">Gurobi</a>, the Decision Intelligence Leader, by <a href="https://datauniverse2024.com">Data Universe</a>, the out-of-this-world data conference, and by <a href="http://www.cloudwolf.com/sds">CloudWolf</a>, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• The early beginnings and growth of scikit-learn [05:34]<br>• Development principles of scikit-learn [18:05]<br>• How to apply scikit-learn to your ML problem [21:16]<br>• Resource-efficiency and scikit-learn development [25:32]<br>• How to contribute to an open-source project like scikit-learn yourself [38:21]<br>• The future of scikit-learn [51:13]<br>• Gaël on the social-impact data projects in his Soda lab [1:02:33]<br>• Why domain expertise and statistical rigor are more important than ever [1:11:24]<br><br>Additional materials: <a href="https://www.superdatascience.com/737">www.superdatascience.com/737</a></p>]]>
      </content:encoded>
      <itunes:duration>5404</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14083308]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6537056963.mp3?updated=1716818990" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>736: How to Officially Certify your AI Model, with Jan Zawadzki</title>
      <description>AI certification and EU regulation: Jan Zawadzki, CTO and CO Managing Director of Certif.ai, talks to Jon Krohn about the future of certification for AI startups and keeping within rigorous international regulations. Additional materials: www.superdatascience.com/736Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 01 Dec 2023 12:00:00 -0000</pubDate>
      <itunes:title>736: How to Officially Certify your AI Model, with Jan Zawadzki</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1539c110-1c32-11ef-9765-ef34d0d23656/image/e7a8f064f57c6673c421f929c984d875.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>AI certification and EU regulation: Jan Zawadzki, CTO and CO Managing Director of Certif.ai, talks to Jon Krohn about the future of certification for AI startups and keeping within rigorous international regulations. Additional materials: www.superdatascience.com/736Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>AI certification and EU regulation: Jan Zawadzki, CTO and CO Managing Director of Certif.ai, talks to Jon Krohn about the future of certification for AI startups and keeping within rigorous international regulations. Additional materials: www.superdatascience.com/736Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>AI certification and EU regulation: Jan Zawadzki, CTO and CO Managing Director of Certif.ai, talks to Jon Krohn about the future of certification for AI startups and keeping within rigorous international regulations. <br><br>Additional materials: <a href="https://www.superdatascience.com/736">www.superdatascience.com/736</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>883</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14062764]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9481190210.mp3?updated=1716818990" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>735: A.I. Product Management, with Google DeepMind's Head of Product, Mehdi Ghissassi</title>
      <description>Artificial General Intelligence, AlphaGo, and Google DeepMind: Jon Krohn speaks to Mehdi Ghissassi, Director of Product Management at Google DeepMind, about the ethics and social impact of AI, keeping up with AI releases with safety in mind, and other pressing AI problems that keep him awake at night. In this episode, Mehdi and Jon also take a broader look at the current AI landscape, the opportunities for AI investors and startups, and what AI product managers need to get ahead.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• How DeepMind seeks to ‘solve intelligence’ [05:14]• The impact of AGI’s capabilities on medicine [16:37]• How the general public might come to apply future AI systems [28:09]• How working on product development for Africa has shaped Mehdi’s perspective on AI’s potential and challenges [37:17]• How to stay on top of rapid changes in AI [39:17]• What investors look for in AI startups [59:16]• Tips for product managers [1:03:34]Additional materials: www.superdatascience.com/735</description>
      <pubDate>Tue, 28 Nov 2023 12:00:00 -0000</pubDate>
      <itunes:title>735: A.I. Product Management, with Google DeepMind's Head of Product, Mehdi Ghissassi</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/15b0afdc-1c32-11ef-9765-8731f03b9405/image/25d5879fd2e922b3fe3b26690ec70be6.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Artificial General Intelligence, AlphaGo, and Google DeepMind: Jon Krohn speaks to Mehdi Ghissassi, Director of Product Management at Google DeepMind, about the ethics and social impact of AI, keeping up with AI releases with safety in mind, and other pressing AI problems that keep him awake at night. In this episode, Mehdi and Jon also take a broader look at the current AI landscape, the opportunities for AI investors and startups, and what AI product managers need to get ahead.This episode ...</itunes:subtitle>
      <itunes:summary>Artificial General Intelligence, AlphaGo, and Google DeepMind: Jon Krohn speaks to Mehdi Ghissassi, Director of Product Management at Google DeepMind, about the ethics and social impact of AI, keeping up with AI releases with safety in mind, and other pressing AI problems that keep him awake at night. In this episode, Mehdi and Jon also take a broader look at the current AI landscape, the opportunities for AI investors and startups, and what AI product managers need to get ahead.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• How DeepMind seeks to ‘solve intelligence’ [05:14]• The impact of AGI’s capabilities on medicine [16:37]• How the general public might come to apply future AI systems [28:09]• How working on product development for Africa has shaped Mehdi’s perspective on AI’s potential and challenges [37:17]• How to stay on top of rapid changes in AI [39:17]• What investors look for in AI startups [59:16]• Tips for product managers [1:03:34]Additional materials: www.superdatascience.com/735</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Artificial General Intelligence, AlphaGo, and Google DeepMind: Jon Krohn speaks to Mehdi Ghissassi, Director of Product Management at Google DeepMind, about the ethics and social impact of AI, keeping up with AI releases with safety in mind, and other pressing AI problems that keep him awake at night. In this episode, Mehdi and Jon also take a broader look at the current AI landscape, the opportunities for AI investors and startups, and what AI product managers need to get ahead.<br><br>This episode is brought to you by <a href="https://gurobi.com/sds">Gurobi</a>, the Decision Intelligence Leader,  and by <a href="http://www.cloudwolf.com/sds">CloudWolf</a>, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• How DeepMind seeks to ‘solve intelligence’ [05:14]<br>• The impact of AGI’s capabilities on medicine [16:37]<br>• How the general public might come to apply future AI systems [28:09]<br>• How working on product development for Africa has shaped Mehdi’s perspective on AI’s potential and challenges [37:17]<br>• How to stay on top of rapid changes in AI [39:17]<br>• What investors look for in AI startups [59:16]<br>• Tips for product managers [1:03:34]<br><br>Additional materials: <a href="https://www.superdatascience.com/735">www.superdatascience.com/735</a></p>]]>
      </content:encoded>
      <itunes:duration>4904</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14039556]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8151097209.mp3?updated=1716818991" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>734: Humanoid Robot Soccer, with the Dutch RoboCup Team</title>
      <description>Robot Soccer takes center stage as Jon Krohn and Dário Catarrinho, Secretary of the Dutch Nao Team and an AI student at the University of Amsterdam, discuss the intricate machine learning that enables robots to navigate the field, make decisions in real-time, respond to sound, and compete against each other in a gripping display of skill and strategy.Additional materials: www.superdatascience.com/734Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 24 Nov 2023 12:00:00 -0000</pubDate>
      <itunes:title>734: Humanoid Robot Soccer, with the Dutch RoboCup Team</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/162abca0-1c32-11ef-9765-77d9f143eaf7/image/6bd6957e23e2c3370bdebd78dbd89944.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Robot Soccer takes center stage as Jon Krohn and Dário Catarrinho, Secretary of the Dutch Nao Team and an AI student at the University of Amsterdam, discuss the intricate machine learning that enables robots to navigate the field, make decisions in real-time, respond to sound, and compete against each other in a gripping display of skill and strategy.Additional materials: www.superdatascience.com/734Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sp...</itunes:subtitle>
      <itunes:summary>Robot Soccer takes center stage as Jon Krohn and Dário Catarrinho, Secretary of the Dutch Nao Team and an AI student at the University of Amsterdam, discuss the intricate machine learning that enables robots to navigate the field, make decisions in real-time, respond to sound, and compete against each other in a gripping display of skill and strategy.Additional materials: www.superdatascience.com/734Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Robot Soccer takes center stage as Jon Krohn and Dário Catarrinho, Secretary of the Dutch Nao Team and an AI student at the University of Amsterdam, discuss the intricate machine learning that enables robots to navigate the field, make decisions in real-time, respond to sound, and compete against each other in a gripping display of skill and strategy.<br><br>Additional materials: <a href="https://www.superdatascience.com/734">www.superdatascience.com/734</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1027</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14017594]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5474203201.mp3?updated=1716818992" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>733: OpenAssistant: The Open-Source ChatGPT Alternative, with Dr. Yannic Kilcher</title>
      <description>Yannic Kilcher, a leading ML YouTuber and DeepJudge CTO, teams up with Jon Krohn this week to delve into the open-source ML community, the technology powering Yannic’s Swiss-based startup, and the significant implications of adversarial examples in ML. Tune in as they also unpack Yannic's approach to tracking ML research, future AI prospects and his startup challenges.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• About OpenAssistant project [03:39]• Alignment issues in open-source vs closed-source [08:36]• Alternative formulas vital for crafting superior LLMs [20:29]• Strategies to foster open-source LLM ecosystems [27:07]• Yannic's pioneering work in legal document processing at DeepJudge [31:31]• Comprehensive overview of adversarial examples [1:04:02]• The future AI's landscape [1:18:08]• Startup challenges [1:25:35]Additional materials: www.superdatascience.com/733</description>
      <pubDate>Tue, 21 Nov 2023 12:00:00 -0000</pubDate>
      <itunes:title>733: OpenAssistant: The Open-Source ChatGPT Alternative, with Dr. Yannic Kilcher</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/16a933b4-1c32-11ef-9765-e79609b1a928/image/4b287827f40316347a2e7d54756c4f0e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Yannic Kilcher, a leading ML YouTuber and DeepJudge CTO, teams up with Jon Krohn this week to delve into the open-source ML community, the technology powering Yannic’s Swiss-based startup, and the significant implications of adversarial examples in ML. Tune in as they also unpack Yannic's approach to tracking ML research, future AI prospects and his startup challenges.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform....</itunes:subtitle>
      <itunes:summary>Yannic Kilcher, a leading ML YouTuber and DeepJudge CTO, teams up with Jon Krohn this week to delve into the open-source ML community, the technology powering Yannic’s Swiss-based startup, and the significant implications of adversarial examples in ML. Tune in as they also unpack Yannic's approach to tracking ML research, future AI prospects and his startup challenges.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• About OpenAssistant project [03:39]• Alignment issues in open-source vs closed-source [08:36]• Alternative formulas vital for crafting superior LLMs [20:29]• Strategies to foster open-source LLM ecosystems [27:07]• Yannic's pioneering work in legal document processing at DeepJudge [31:31]• Comprehensive overview of adversarial examples [1:04:02]• The future AI's landscape [1:18:08]• Startup challenges [1:25:35]Additional materials: www.superdatascience.com/733</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Yannic Kilcher, a leading ML YouTuber and DeepJudge CTO, teams up with Jon Krohn this week to delve into the open-source ML community, the technology powering Yannic’s Swiss-based startup, and the significant implications of adversarial examples in ML. Tune in as they also unpack Yannic's approach to tracking ML research, future AI prospects and his startup challenges.<br><br>This episode is brought to you by <a href="https://gurobi.com/sds">Gurobi</a>, the Decision Intelligence Leader,  and by <a href="http://www.cloudwolf.com/sds">CloudWolf</a>, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• About OpenAssistant project [03:39]<br>• Alignment issues in open-source vs closed-source [08:36]<br>• Alternative formulas vital for crafting superior LLMs [20:29]<br>• Strategies to foster open-source LLM ecosystems [27:07]<br>• Yannic's pioneering work in legal document processing at DeepJudge [31:31]<br>• Comprehensive overview of adversarial examples [1:04:02]<br>• The future AI's landscape [1:18:08]<br>• Startup challenges [1:25:35]<br><br>Additional materials: <a href="https://www.superdatascience.com/733">www.superdatascience.com/733</a></p>]]>
      </content:encoded>
      <itunes:duration>6019</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-14002504]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4922806910.mp3?updated=1716818993" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>732: Data Science for Astronomy, with Dr. Daniela Huppenkothen</title>
      <description>Exploring our vast universe, in this episode Jon Krohn meets with Daniela Huppenkothen at the University of Amsterdam's astronomy department for a wide-ranging discussion about building instrumentation for telescopes, collecting data from outer space and how to sort astronomy’s problem of enormous amounts of data.Additional materials: www.superdatascience.com/732Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 17 Nov 2023 12:00:00 -0000</pubDate>
      <itunes:title>732: Data Science for Astronomy, with Dr. Daniela Huppenkothen</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/171c5830-1c32-11ef-9765-6bb2272efde9/image/812ed3e301bd300c57a841b3757bd9ae.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Exploring our vast universe, in this episode Jon Krohn meets with Daniela Huppenkothen at the University of Amsterdam's astronomy department for a wide-ranging discussion about building instrumentation for telescopes, collecting data from outer space and how to sort astronomy’s problem of enormous amounts of data.Additional materials: www.superdatascience.com/732Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Exploring our vast universe, in this episode Jon Krohn meets with Daniela Huppenkothen at the University of Amsterdam's astronomy department for a wide-ranging discussion about building instrumentation for telescopes, collecting data from outer space and how to sort astronomy’s problem of enormous amounts of data.Additional materials: www.superdatascience.com/732Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Exploring our vast universe, in this episode Jon Krohn meets with Daniela Huppenkothen at the University of Amsterdam's astronomy department for a wide-ranging discussion about building instrumentation for telescopes, collecting data from outer space and how to sort astronomy’s problem of enormous amounts of data.<br><br>Additional materials: <a href="https://www.superdatascience.com/732">www.superdatascience.com/732</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2667</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5172824019.mp3?updated=1716818994" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>731: A.I. Agents Will Develop Their Own Distinct Culture, with Nell Watson</title>
      <description>Ethics and machine intelligence pioneer Nell Watson speaks to host Jon Krohn about the differences between AI ethics and AI safety, how crying wolf may result in future complications for AI development and the importance of ensuring IEEE standards to mitigate and regulate AI risks. She also touches on what she considers a “second Enlightenment”, in which we may start to form intimate relationships with AI—to both parties’ benefit.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• AI ethics and AI safety [05:30]• How "moving fast" could break the world [18:07]• The shifting relationship between humans and machines [29:54]• International ethics standards, and their review process [52:10]• Current and future ethical standards [1:05:31]• Building a universal basic income with AI [1:19:23]Additional materials: www.superdatascience.com/731</description>
      <pubDate>Tue, 14 Nov 2023 12:00:00 -0000</pubDate>
      <itunes:title>731: A.I. Agents Will Develop Their Own Distinct Culture, with Nell Watson</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/179c63f4-1c32-11ef-9765-1ff32feb725f/image/f14bafeb939f5cc78859d3cfd0bbf3ea.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Ethics and machine intelligence pioneer Nell Watson speaks to host Jon Krohn about the differences between AI ethics and AI safety, how crying wolf may result in future complications for AI development and the importance of ensuring IEEE standards to mitigate and regulate AI risks. She also touches on what she considers a “second Enlightenment”, in which we may start to form intimate relationships with AI—to both parties’ benefit.This episode is brought to you by Gurobi, the Decision Intellig...</itunes:subtitle>
      <itunes:summary>Ethics and machine intelligence pioneer Nell Watson speaks to host Jon Krohn about the differences between AI ethics and AI safety, how crying wolf may result in future complications for AI development and the importance of ensuring IEEE standards to mitigate and regulate AI risks. She also touches on what she considers a “second Enlightenment”, in which we may start to form intimate relationships with AI—to both parties’ benefit.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• AI ethics and AI safety [05:30]• How "moving fast" could break the world [18:07]• The shifting relationship between humans and machines [29:54]• International ethics standards, and their review process [52:10]• Current and future ethical standards [1:05:31]• Building a universal basic income with AI [1:19:23]Additional materials: www.superdatascience.com/731</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Ethics and machine intelligence pioneer Nell Watson speaks to host Jon Krohn about the differences between AI ethics and AI safety, how crying wolf may result in future complications for AI development and the importance of ensuring IEEE standards to mitigate and regulate AI risks. She also touches on what she considers a “second Enlightenment”, in which we may start to form intimate relationships with AI—to both parties’ benefit.<br><br>This episode is brought to you by <a href="https://gurobi.com/sds">Gurobi</a>, the Decision Intelligence Leader,  and by <a href="http://www.cloudwolf.com/sds">CloudWolf</a>, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• AI ethics and AI safety [05:30]<br>• How "moving fast" could break the world [18:07]<br>• The shifting relationship between humans and machines [29:54]<br>• International ethics standards, and their review process [52:10]<br>• Current and future ethical standards [1:05:31]<br>• Building a universal basic income with AI [1:19:23]<br><br>Additional materials: <a href="https://www.superdatascience.com/731">www.superdatascience.com/731</a></p>]]>
      </content:encoded>
      <itunes:duration>5334</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-13968015]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7132714739.mp3?updated=1716818995" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>730: How GitHub Operationalizes AI for Teamwide Collaboration and Productivity</title>
      <description>In this episode, Kyle Daigle, COO of GitHub, joins Jon Krohn to discuss the transformative impact of generative AI tools like GitHub Copilot. Learn how these tools streamline software development, enhance collaboration, and accelerate code reviews. Discover innovative approaches to collaboration and innersourcing, reshaping the future of teamwork in the digital age.Additional materials: www.superdatascience.com/730Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 10 Nov 2023 12:00:00 -0000</pubDate>
      <itunes:title>730: How GitHub Operationalizes AI for Teamwide Collaboration and Productivity</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/18190850-1c32-11ef-9765-23691e15d12c/image/df32d3bb879f02d991b34130b60207f3.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Kyle Daigle, COO of GitHub, joins Jon Krohn to discuss the transformative impact of generative AI tools like GitHub Copilot. Learn how these tools streamline software development, enhance collaboration, and accelerate code reviews. Discover innovative approaches to collaboration and innersourcing, reshaping the future of teamwork in the digital age.Additional materials: www.superdatascience.com/730Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com...</itunes:subtitle>
      <itunes:summary>In this episode, Kyle Daigle, COO of GitHub, joins Jon Krohn to discuss the transformative impact of generative AI tools like GitHub Copilot. Learn how these tools streamline software development, enhance collaboration, and accelerate code reviews. Discover innovative approaches to collaboration and innersourcing, reshaping the future of teamwork in the digital age.Additional materials: www.superdatascience.com/730Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Kyle Daigle, COO of GitHub, joins Jon Krohn to discuss the transformative impact of generative AI tools like GitHub Copilot. Learn how these tools streamline software development, enhance collaboration, and accelerate code reviews. Discover innovative approaches to collaboration and innersourcing, reshaping the future of teamwork in the digital age.<br><br>Additional materials: <a href="https://www.superdatascience.com/730">www.superdatascience.com/730</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1139</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-13939014]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2565318386.mp3?updated=1716818995" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>729: Universal Principles of Intelligence (Across Humans and Machines), with Prof. Blake Richards</title>
      <description>Dr. Blake Richards discusses the world of AI and human cognition this week. Learn about the essence of intelligence, the ways AI research informs our understanding of the human brain, and discover the potential future scenarios where AI and humanity might intersect.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Blake's research and his take on intelligence [09:56]• How we can evaluate progress in artificial general intelligence [15:54]• Blake's thoughts on biomimicry [20:57]• Why Blake thinks the fears regarding AI are overdone [25:38]• The most effective strategies to mitigate AI fears without hindering innovation [35:31]• What steps can we take to ensure that AI supports human flourishing [45:23]• The importance of interpreting neuroscience data through the lens of ML [55:08]• Backpropagation, gradient descent and the brain [1:17:32]Additional materials: www.superdatascience.com/729</description>
      <pubDate>Tue, 07 Nov 2023 12:00:00 -0000</pubDate>
      <itunes:title>729: Universal Principles of Intelligence (Across Humans and Machines), with Prof. Blake Richards</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/18909096-1c32-11ef-9765-ebdc00611216/image/77b6dd811f487497f1c17bd4aeab7a2a.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Dr. Blake Richards discusses the world of AI and human cognition this week. Learn about the essence of intelligence, the ways AI research informs our understanding of the human brain, and discover the potential future scenarios where AI and humanity might intersect.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship ...</itunes:subtitle>
      <itunes:summary>Dr. Blake Richards discusses the world of AI and human cognition this week. Learn about the essence of intelligence, the ways AI research informs our understanding of the human brain, and discover the potential future scenarios where AI and humanity might intersect.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Blake's research and his take on intelligence [09:56]• How we can evaluate progress in artificial general intelligence [15:54]• Blake's thoughts on biomimicry [20:57]• Why Blake thinks the fears regarding AI are overdone [25:38]• The most effective strategies to mitigate AI fears without hindering innovation [35:31]• What steps can we take to ensure that AI supports human flourishing [45:23]• The importance of interpreting neuroscience data through the lens of ML [55:08]• Backpropagation, gradient descent and the brain [1:17:32]Additional materials: www.superdatascience.com/729</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Dr. Blake Richards discusses the world of AI and human cognition this week. Learn about the essence of intelligence, the ways AI research informs our understanding of the human brain, and discover the potential future scenarios where AI and humanity might intersect.<br><br>This episode is brought to you by <a href="https://gurobi.com/sds">Gurobi</a>, the Decision Intelligence Leader,  and by <a href="http://www.cloudwolf.com/sds">CloudWolf</a>, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Blake's research and his take on intelligence [09:56]<br>• How we can evaluate progress in artificial general intelligence [15:54]<br>• Blake's thoughts on biomimicry [20:57]<br>• Why Blake thinks the fears regarding AI are overdone [25:38]<br>• The most effective strategies to mitigate AI fears without hindering innovation [35:31]<br>• What steps can we take to ensure that AI supports human flourishing [45:23]<br>• The importance of interpreting neuroscience data through the lens of ML [55:08]<br>• Backpropagation, gradient descent and the brain [1:17:32]<br><br>Additional materials: <a href="https://www.superdatascience.com/729">www.superdatascience.com/729</a></p>]]>
      </content:encoded>
      <itunes:duration>6371</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-13924378]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9566491537.mp3?updated=1716818996" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>728: Use Contrastive Search to get Human-Quality LLM Outputs</title>
      <description>Learn how to achieve human-like outputs from LLMs in this week’s Five-Minute Friday with Jon Krohn. Understand the various current methods available to decode and generate text, as well as the differences between them. Find out about greedy search, beam search, sampling, and contrastive search, and how you can use them to create incredibly useful LLMs.Additional materials: www.superdatascience.com/728Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 03 Nov 2023 11:00:00 -0000</pubDate>
      <itunes:title>728: Use Contrastive Search to get Human-Quality LLM Outputs</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/19042e20-1c32-11ef-9765-2b3835f74664/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Learn how to achieve human-like outputs from LLMs in this week’s Five-Minute Friday with Jon Krohn. Understand the various current methods available to decode and generate text, as well as the differences between them. Find out about greedy search, beam search, sampling, and contrastive search, and how you can use them to create incredibly useful LLMs.Additional materials: www.superdatascience.com/728Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for s...</itunes:subtitle>
      <itunes:summary>Learn how to achieve human-like outputs from LLMs in this week’s Five-Minute Friday with Jon Krohn. Understand the various current methods available to decode and generate text, as well as the differences between them. Find out about greedy search, beam search, sampling, and contrastive search, and how you can use them to create incredibly useful LLMs.Additional materials: www.superdatascience.com/728Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Learn how to achieve human-like outputs from LLMs in this week’s Five-Minute Friday with Jon Krohn. Understand the various current methods available to decode and generate text, as well as the differences between them. Find out about greedy search, beam search, sampling, and contrastive search, and how you can use them to create incredibly useful LLMs.<br><br>Additional materials: <a href="https://www.superdatascience.com/728">www.superdatascience.com/728</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>344</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-13895024]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7868765662.mp3?updated=1716818997" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>727: Unmasking A.I. Injustice, with Dr. Joy Buolamwini</title>
      <description>Coded bias, intersectionality in AI, and computer vision: Founder of the Algorithmic Justice League Joy Buolamwini talks to host Jon Krohn about the impact of exclusion and inclusion in datasets, the need to address intersectionality when identifying racial, age, or gender-based prejudice in machine learning tools, protections for artists and creative practitioners against AI, and the role that AI may have in combating systemic racism.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What coded bias is [06:49]• The problem with bias in machine learning datasets [18:41]• The Incoding Movement [42:08]• About the Pilot Parliaments Benchmark [52:07]• Ethics and the future of AI [1:20:10]• The potential for AI to end systemic racism [1:32:59]Additional materials: www.superdatascience.com/727</description>
      <pubDate>Tue, 31 Oct 2023 11:00:00 -0000</pubDate>
      <itunes:title>727: Unmasking A.I. Injustice, with Dr. Joy Buolamwini</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/197f77ec-1c32-11ef-9765-978c49eac6ca/image/255b9f889ebc81265aa6cba4d0eca249.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Coded bias, intersectionality in AI, and computer vision: Founder of the Algorithmic Justice League Joy Buolamwini talks to host Jon Krohn about the impact of exclusion and inclusion in datasets, the need to address intersectionality when identifying racial, age, or gender-based prejudice in machine learning tools, protections for artists and creative practitioners against AI, and the role that AI may have in combating systemic racism.This episode is brought to you by Gurobi, the Decision Int...</itunes:subtitle>
      <itunes:summary>Coded bias, intersectionality in AI, and computer vision: Founder of the Algorithmic Justice League Joy Buolamwini talks to host Jon Krohn about the impact of exclusion and inclusion in datasets, the need to address intersectionality when identifying racial, age, or gender-based prejudice in machine learning tools, protections for artists and creative practitioners against AI, and the role that AI may have in combating systemic racism.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What coded bias is [06:49]• The problem with bias in machine learning datasets [18:41]• The Incoding Movement [42:08]• About the Pilot Parliaments Benchmark [52:07]• Ethics and the future of AI [1:20:10]• The potential for AI to end systemic racism [1:32:59]Additional materials: www.superdatascience.com/727</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Coded bias, intersectionality in AI, and computer vision: Founder of the Algorithmic Justice League Joy Buolamwini talks to host Jon Krohn about the impact of exclusion and inclusion in datasets, the need to address intersectionality when identifying racial, age, or gender-based prejudice in machine learning tools, protections for artists and creative practitioners against AI, and the role that AI may have in combating systemic racism.<br><br>This episode is brought to you by <a href="https://gurobi.com/sds">Gurobi</a>, the Decision Intelligence Leader,  and by <a href="http://www.cloudwolf.com/sds">CloudWolf</a>, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• What coded bias is [06:49]<br>• The problem with bias in machine learning datasets [18:41]<br>• The Incoding Movement [42:08]<br>• About the Pilot Parliaments Benchmark [52:07]<br>• Ethics and the future of AI [1:20:10]<br>• The potential for AI to end systemic racism [1:32:59]<br><br>Additional materials: <a href="https://www.superdatascience.com/727">www.superdatascience.com/727</a></p>]]>
      </content:encoded>
      <itunes:duration>6321</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-13879395]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3299800530.mp3?updated=1716818998" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>726: Seven Factors for Successful Data Leadership</title>
      <description>Ben Jones, CEO of Data Literacy, discusses the seven crucial components of effective data leadership. From ethics to technology and fostering a data-centric culture, Jones provides actionable insights and practical examples. Tune in to empower your organization with purposeful and ethical data strategies from day one.Additional materials: www.superdatascience.com/726Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 27 Oct 2023 11:00:00 -0000</pubDate>
      <itunes:title>726: Seven Factors for Successful Data Leadership</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/19f315d0-1c32-11ef-9765-d3a095eeb5ad/image/0514ed15556466094f0ab091a4c5d896.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Ben Jones, CEO of Data Literacy, discusses the seven crucial components of effective data leadership. From ethics to technology and fostering a data-centric culture, Jones provides actionable insights and practical examples. Tune in to empower your organization with purposeful and ethical data strategies from day one.Additional materials: www.superdatascience.com/726Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Ben Jones, CEO of Data Literacy, discusses the seven crucial components of effective data leadership. From ethics to technology and fostering a data-centric culture, Jones provides actionable insights and practical examples. Tune in to empower your organization with purposeful and ethical data strategies from day one.Additional materials: www.superdatascience.com/726Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Ben Jones, CEO of Data Literacy, discusses the seven crucial components of effective data leadership. From ethics to technology and fostering a data-centric culture, Jones provides actionable insights and practical examples. Tune in to empower your organization with purposeful and ethical data strategies from day one.<br><br>Additional materials: <a href="https://www.superdatascience.com/726">www.superdatascience.com/726</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1975</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-13856548]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4880603072.mp3?updated=1716818998" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>725: Neuroscience + Machine Learning, with Google DeepMind's Dr. Kim Stachenfeld</title>
      <description>Dr. Kim Stachenfeld, Research Scientist at Google DeepMind and Affiliate Professor at Columbia University, delves into the realms of AI and neuroscience as she discusses computer-based simulations of the human brain, the efficiency of language in compression, and the neuroscience theories shaping the future of artificial intelligence. Discover the secrets behind memory formation, cognitive enhancement, and the potential of Artificial General Intelligence (AGI) in this thought-provoking episode.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• The importance of simulations in the context of human intelligence [05:44]• The basic approach to simulating human intelligence or physical systems [09:30]• Will simulations help us realize AGI? [37:21]• The cross-disciplinary potential of LLMs [40:20]• The special role of our brain’s hippocampus in memory formation [1:05:15]• Kim's research on reinforcement learning and neural representation [1:15:02]• Compression in representation learning [1:38:51]• What skills should an aspiring computational neuroscientist hone [1:50:30]Additional materials: www.superdatascience.com/725</description>
      <pubDate>Tue, 24 Oct 2023 11:00:00 -0000</pubDate>
      <itunes:title>725: Neuroscience + Machine Learning, with Google DeepMind's Dr. Kim Stachenfeld</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1a7281c6-1c32-11ef-9765-8b70bd812823/image/4b9f32c6e35d5ac00b0369d37f943fb3.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Dr. Kim Stachenfeld, Research Scientist at Google DeepMind and Affiliate Professor at Columbia University, delves into the realms of AI and neuroscience as she discusses computer-based simulations of the human brain, the efficiency of language in compression, and the neuroscience theories shaping the future of artificial intelligence. Discover the secrets behind memory formation, cognitive enhancement, and the potential of Artificial General Intelligence (AGI) in this thought-provoking episod...</itunes:subtitle>
      <itunes:summary>Dr. Kim Stachenfeld, Research Scientist at Google DeepMind and Affiliate Professor at Columbia University, delves into the realms of AI and neuroscience as she discusses computer-based simulations of the human brain, the efficiency of language in compression, and the neuroscience theories shaping the future of artificial intelligence. Discover the secrets behind memory formation, cognitive enhancement, and the potential of Artificial General Intelligence (AGI) in this thought-provoking episode.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• The importance of simulations in the context of human intelligence [05:44]• The basic approach to simulating human intelligence or physical systems [09:30]• Will simulations help us realize AGI? [37:21]• The cross-disciplinary potential of LLMs [40:20]• The special role of our brain’s hippocampus in memory formation [1:05:15]• Kim's research on reinforcement learning and neural representation [1:15:02]• Compression in representation learning [1:38:51]• What skills should an aspiring computational neuroscientist hone [1:50:30]Additional materials: www.superdatascience.com/725</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Dr. Kim Stachenfeld, Research Scientist at Google DeepMind and Affiliate Professor at Columbia University, delves into the realms of AI and neuroscience as she discusses computer-based simulations of the human brain, the efficiency of language in compression, and the neuroscience theories shaping the future of artificial intelligence. Discover the secrets behind memory formation, cognitive enhancement, and the potential of Artificial General Intelligence (AGI) in this thought-provoking episode.<br><br>This episode is brought to you by <a href="https://gurobi.com/sds">Gurobi</a>, the Decision Intelligence Leader,  and by <a href="https://odsc.com/">ODSC</a>, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• The importance of simulations in the context of human intelligence [05:44]<br>• The basic approach to simulating human intelligence or physical systems [09:30]<br>• Will simulations help us realize AGI? [37:21]<br>• The cross-disciplinary potential of LLMs [40:20]<br>• The special role of our brain’s hippocampus in memory formation [1:05:15]<br>• Kim's research on reinforcement learning and neural representation [1:15:02]<br>• Compression in representation learning [1:38:51]<br>• What skills should an aspiring computational neuroscientist hone [1:50:30]<br><br>Additional materials: <a href="https://www.superdatascience.com/725">www.superdatascience.com/725</a></p>]]>
      </content:encoded>
      <itunes:duration>7136</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>724: Decoding Speech from Raw Brain Activity, with Dr. David Moses</title>
      <description>In this Friday episode, host Jon Krohn talks to UCSF’s David Moses about BRAVO (Brain-Computer Interface Restoration of Arm and Voice), a study led by Edward Chang and Karunesh Ganguly that helps patients who have lost the ability to speak to communicate once again via a speech neuroprosthesis. Postdoctoral engineer David Moses, who is a part of BRAVO, reveals the data and machine learning models that help BRAVO predict the words and facial expressions that a paralyzed patient is trying to form via their brain activity, crucially helping patients to communicate with medical practitioners and loved ones.Additional materials: www.superdatascience.com/724Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 20 Oct 2023 11:00:00 -0000</pubDate>
      <itunes:title>724: Decoding Speech from Raw Brain Activity, with Dr. David Moses</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1b050fdc-1c32-11ef-9765-f3ae538fe502/image/4dd94f6335ad3d6013b37ee9377cb3fc.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this Friday episode, host Jon Krohn talks to UCSF’s David Moses about BRAVO (Brain-Computer Interface Restoration of Arm and Voice), a study led by Edward Chang and Karunesh Ganguly that helps patients who have lost the ability to speak to communicate once again via a speech neuroprosthesis. Postdoctoral engineer David Moses, who is a part of BRAVO, reveals the data and machine learning models that help BRAVO predict the words and facial expressions that a paralyzed patient is trying to fo...</itunes:subtitle>
      <itunes:summary>In this Friday episode, host Jon Krohn talks to UCSF’s David Moses about BRAVO (Brain-Computer Interface Restoration of Arm and Voice), a study led by Edward Chang and Karunesh Ganguly that helps patients who have lost the ability to speak to communicate once again via a speech neuroprosthesis. Postdoctoral engineer David Moses, who is a part of BRAVO, reveals the data and machine learning models that help BRAVO predict the words and facial expressions that a paralyzed patient is trying to form via their brain activity, crucially helping patients to communicate with medical practitioners and loved ones.Additional materials: www.superdatascience.com/724Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this Friday episode, host Jon Krohn talks to UCSF’s David Moses about BRAVO (Brain-Computer Interface Restoration of Arm and Voice), a study led by Edward Chang and Karunesh Ganguly that helps patients who have lost the ability to speak to communicate once again via a speech neuroprosthesis. Postdoctoral engineer David Moses, who is a part of BRAVO, reveals the data and machine learning models that help BRAVO predict the words and facial expressions that a paralyzed patient is trying to form via their brain activity, crucially helping patients to communicate with medical practitioners and loved ones.<br><br>Additional materials: <a href="https://www.superdatascience.com/724">www.superdatascience.com/724</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2550</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4309584488.mp3?updated=1716819001" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>723: Mathematical Optimization, with Jerry Yurchisin</title>
      <description>Mathematical optimization should be known to every data scientist: Jon Krohn speaks to Jerry Yurchisin, Data Science Strategist at Gurobi, the decision-making technology and best-kept secret of 80% of America’s leading enterprises.This episode is brought to you by the Zerve data science dev environment,  by ODSC, the Open Data Science Conference, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What mathematical optimization is [04:27]• How Gurobi solver works [29:01]• How to use Gurobi with Python [36:08]• Coding and algebra resources [41:14]• When to use mathematical optimization and machine learning together [54:23]• Using mathematical optimization in natural language processing [1:01:00]Additional materials: www.superdatascience.com/723</description>
      <pubDate>Tue, 17 Oct 2023 11:00:00 -0000</pubDate>
      <itunes:title>723: Mathematical Optimization, with Jerry Yurchisin</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1bb88c2e-1c32-11ef-9765-7b6301320a2f/image/21304bb6d21b4e9089fa6d54dfe26ceb.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Mathematical optimization should be known to every data scientist: Jon Krohn speaks to Jerry Yurchisin, Data Science Strategist at Gurobi, the decision-making technology and best-kept secret of 80% of America’s leading enterprises.This episode is brought to you by the Zerve data science dev environment,  by ODSC, the Open Data Science Conference, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponso...</itunes:subtitle>
      <itunes:summary>Mathematical optimization should be known to every data scientist: Jon Krohn speaks to Jerry Yurchisin, Data Science Strategist at Gurobi, the decision-making technology and best-kept secret of 80% of America’s leading enterprises.This episode is brought to you by the Zerve data science dev environment,  by ODSC, the Open Data Science Conference, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What mathematical optimization is [04:27]• How Gurobi solver works [29:01]• How to use Gurobi with Python [36:08]• Coding and algebra resources [41:14]• When to use mathematical optimization and machine learning together [54:23]• Using mathematical optimization in natural language processing [1:01:00]Additional materials: www.superdatascience.com/723</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Mathematical optimization should be known to every data scientist: Jon Krohn speaks to Jerry Yurchisin, Data Science Strategist at Gurobi, the decision-making technology and best-kept secret of 80% of America’s leading enterprises.<br><br>This episode is brought to you by the <a href="https://www.zerve.ai/">Zerve</a> data science dev environment,  by <a href="https://odsc.com/">ODSC</a>, the Open Data Science Conference, and by <a href="http://www.cloudwolf.com/sds">CloudWolf</a>, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• What mathematical optimization is [04:27]<br>• How Gurobi solver works [29:01]<br>• How to use Gurobi with Python [36:08]<br>• Coding and algebra resources [41:14]<br>• When to use mathematical optimization and machine learning together [54:23]<br>• Using mathematical optimization in natural language processing [1:01:00]<br><br>Additional materials: <a href="https://www.superdatascience.com/723">www.superdatascience.com/723</a></p>]]>
      </content:encoded>
      <itunes:duration>5853</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1152335740.mp3?updated=1716819001" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>722: AI Emits Far Less Carbon Than Humans (Doing the Same Task)</title>
      <description>This episode delves into an intriguing research paper from top institutions like UC Irvine and MIT, analyzing the carbon emissions of AI-driven writing and illustrating versus traditional human methods. The findings might surprise you. Is AI the more eco-friendly option? Listen now to explore this compelling intersection of technology and sustainability.Additional materials: www.superdatascience.com/722Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 13 Oct 2023 11:00:00 -0000</pubDate>
      <itunes:title>722: AI Emits Far Less Carbon Than Humans (Doing the Same Task)</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1c30feac-1c32-11ef-9765-63a3e60888ff/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>This episode delves into an intriguing research paper from top institutions like UC Irvine and MIT, analyzing the carbon emissions of AI-driven writing and illustrating versus traditional human methods. The findings might surprise you. Is AI the more eco-friendly option? Listen now to explore this compelling intersection of technology and sustainability.Additional materials: www.superdatascience.com/722Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for...</itunes:subtitle>
      <itunes:summary>This episode delves into an intriguing research paper from top institutions like UC Irvine and MIT, analyzing the carbon emissions of AI-driven writing and illustrating versus traditional human methods. The findings might surprise you. Is AI the more eco-friendly option? Listen now to explore this compelling intersection of technology and sustainability.Additional materials: www.superdatascience.com/722Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This episode delves into an intriguing research paper from top institutions like UC Irvine and MIT, analyzing the carbon emissions of AI-driven writing and illustrating versus traditional human methods. The findings might surprise you. Is AI the more eco-friendly option? Listen now to explore this compelling intersection of technology and sustainability.<br><br>Additional materials: <a href="https://www.superdatascience.com/722">www.superdatascience.com/722</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>465</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8420937943.mp3?updated=1716819008" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>721: Quantum Machine Learning, with Dr. Amira Abbas</title>
      <description>Dr. Amira Abbas, Quantum Computing Researcher at the University of Amsterdam, explores the captivating world of Quantum Machine Learning. Learn about the distinct characteristics of qubits and the vital processes of Quantum ML. For those keen on exploring further, Amira offers noteworthy ML tools suggestions to kickstart your journey in Quantum Computing.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  by ODSC, the Open Data Science Conference, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Quantum computing vs classical computing [03:42]• What is quantum entanglement [11:45]• What is a qubit [15:07]• The best problems for quantum ML [30:08]• Three distinct steps in quantum ML and its potential [39:06]• Quantum neural networks [49:03]• What Amira's working on at the moment [1:10:20]• How to get started in quantum ML [1:21:06]• Amira's recommended ML tools for quantum computing [1:30:39]Additional materials: www.superdatascience.com/721</description>
      <pubDate>Tue, 10 Oct 2023 11:00:00 -0000</pubDate>
      <itunes:title>721: Quantum Machine Learning, with Dr. Amira Abbas</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1fec6b12-1c32-11ef-9765-0b4de05abf42/image/9994f3e5ef0e4b01d401895800929875.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Dr. Amira Abbas, Quantum Computing Researcher at the University of Amsterdam, explores the captivating world of Quantum Machine Learning. Learn about the distinct characteristics of qubits and the vital processes of Quantum ML. For those keen on exploring further, Amira offers noteworthy ML tools suggestions to kickstart your journey in Quantum Computing.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  by ODSC, the Open Data Science Conference, and by CloudWol...</itunes:subtitle>
      <itunes:summary>Dr. Amira Abbas, Quantum Computing Researcher at the University of Amsterdam, explores the captivating world of Quantum Machine Learning. Learn about the distinct characteristics of qubits and the vital processes of Quantum ML. For those keen on exploring further, Amira offers noteworthy ML tools suggestions to kickstart your journey in Quantum Computing.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  by ODSC, the Open Data Science Conference, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Quantum computing vs classical computing [03:42]• What is quantum entanglement [11:45]• What is a qubit [15:07]• The best problems for quantum ML [30:08]• Three distinct steps in quantum ML and its potential [39:06]• Quantum neural networks [49:03]• What Amira's working on at the moment [1:10:20]• How to get started in quantum ML [1:21:06]• Amira's recommended ML tools for quantum computing [1:30:39]Additional materials: www.superdatascience.com/721</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Dr. Amira Abbas, Quantum Computing Researcher at the University of Amsterdam, explores the captivating world of Quantum Machine Learning. Learn about the distinct characteristics of qubits and the vital processes of Quantum ML. For those keen on exploring further, Amira offers noteworthy ML tools suggestions to kickstart your journey in Quantum Computing.<br><br>This episode is brought to you by <a href="https://gurobi.com/sds">Gurobi</a>, the Decision Intelligence Leader,  by <a href="https://odsc.com/">ODSC</a>, the Open Data Science Conference, and by <a href="https://www.cloudwolf.com/sds">CloudWolf</a>, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://JonKrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Quantum computing vs classical computing [03:42]<br>• What is quantum entanglement [11:45]<br>• What is a qubit [15:07]<br>• The best problems for quantum ML [30:08]<br>• Three distinct steps in quantum ML and its potential [39:06]<br>• Quantum neural networks [49:03]<br>• What Amira's working on at the moment [1:10:20]<br>• How to get started in quantum ML [1:21:06]<br>• Amira's recommended ML tools for quantum computing [1:30:39]<br><br>Additional materials: <a href="https://www.superdatascience.com/721">www.superdatascience.com/721</a></p>]]>
      </content:encoded>
      <itunes:duration>6167</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>720: OpenAI’s DALL-E 3, Image Chat and Web Search</title>
      <description>DALL-E may be playing second fiddle to Midjourney no longer with OpenAI’s latest model for generative AI art, DALL-E 3. Host Jon Krohn breaks down the newest model’s capabilities to go beyond producing incredible artistic images, and that follows your written brief to the letter.Additional materials: www.superdatascience.com/720Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 06 Oct 2023 11:00:00 -0000</pubDate>
      <itunes:title>720: OpenAI’s DALL-E 3, Image Chat and Web Search</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/207432cc-1c32-11ef-9765-2b3640b5e470/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>DALL-E may be playing second fiddle to Midjourney no longer with OpenAI’s latest model for generative AI art, DALL-E 3. Host Jon Krohn breaks down the newest model’s capabilities to go beyond producing incredible artistic images, and that follows your written brief to the letter.Additional materials: www.superdatascience.com/720Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>DALL-E may be playing second fiddle to Midjourney no longer with OpenAI’s latest model for generative AI art, DALL-E 3. Host Jon Krohn breaks down the newest model’s capabilities to go beyond producing incredible artistic images, and that follows your written brief to the letter.Additional materials: www.superdatascience.com/720Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>DALL-E may be playing second fiddle to Midjourney no longer with OpenAI’s latest model for generative AI art, DALL-E 3. Host Jon Krohn breaks down the newest model’s capabilities to go beyond producing incredible artistic images, and that follows your written brief to the letter.<br><br>Additional materials: <a href="https://www.superdatascience.com/720">www.superdatascience.com/720</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://JonKrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>725</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>719: Computational Mathematics and Fluid Dynamics, with Prof. Margot Gerritsen</title>
      <description>In this episode, Margot Gerritsen and Jon Krohn discuss the fundamentals of computational mathematics and its application in studying fluid dynamics. Margot also talks about how her synesthesia led to a lifelong interest in math, using computational mathematics to predict airflow, and why it is so important that underrepresented groups in data science become more visible through organizations like Women in Data Science.This episode is brought to you by the Zerve data science dev environment, by Gurobi, the Decision Intelligence Leader, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• About computational mathematics and its relation to data science [03:19]• Margot’s current research into emissions simulation [15:05]• Computational Mathematics: Real-World Applications [33:18]• The importance of wind tunnels in testing designs [47:54]• The beauty of linear algebra [1:05:59]• Synesthesia: Seeing Numbers as Colors [1:16:33]• About Women in Data Science [1:24:59]Additional materials: www.superdatascience.com/719</description>
      <pubDate>Tue, 03 Oct 2023 11:00:00 -0000</pubDate>
      <itunes:title>719: Computational Mathematics and Fluid Dynamics, with Prof. Margot Gerritsen</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/20f04f74-1c32-11ef-9765-5beb5d16a6c3/image/d0fcb8f4e2707f095515e03fd087635e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Margot Gerritsen and Jon Krohn discuss the fundamentals of computational mathematics and its application in studying fluid dynamics. Margot also talks about how her synesthesia led to a lifelong interest in math, using computational mathematics to predict airflow, and why it is so important that underrepresented groups in data science become more visible through organizations like Women in Data Science.This episode is brought to you by the Zerve data science dev environment, ...</itunes:subtitle>
      <itunes:summary>In this episode, Margot Gerritsen and Jon Krohn discuss the fundamentals of computational mathematics and its application in studying fluid dynamics. Margot also talks about how her synesthesia led to a lifelong interest in math, using computational mathematics to predict airflow, and why it is so important that underrepresented groups in data science become more visible through organizations like Women in Data Science.This episode is brought to you by the Zerve data science dev environment, by Gurobi, the Decision Intelligence Leader, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• About computational mathematics and its relation to data science [03:19]• Margot’s current research into emissions simulation [15:05]• Computational Mathematics: Real-World Applications [33:18]• The importance of wind tunnels in testing designs [47:54]• The beauty of linear algebra [1:05:59]• Synesthesia: Seeing Numbers as Colors [1:16:33]• About Women in Data Science [1:24:59]Additional materials: www.superdatascience.com/719</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Margot Gerritsen and Jon Krohn discuss the fundamentals of computational mathematics and its application in studying fluid dynamics. Margot also talks about how her synesthesia led to a lifelong interest in math, using computational mathematics to predict airflow, and why it is so important that underrepresented groups in data science become more visible through organizations like Women in Data Science.<br><br>This episode is brought to you by the <a href="https://www.zerve.ai/">Zerve</a> data science dev environment, by <a href="https://gurobi.com/sds">Gurobi</a>, the Decision Intelligence Leader, and by <a href="https://odsc.com/">ODSC</a>, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• About computational mathematics and its relation to data science [03:19]<br>• Margot’s current research into emissions simulation [15:05]<br>• Computational Mathematics: Real-World Applications [33:18]<br>• The importance of wind tunnels in testing designs [47:54]<br>• The beauty of linear algebra [1:05:59]<br>• Synesthesia: Seeing Numbers as Colors [1:16:33]<br>• About Women in Data Science [1:24:59]<br><br>Additional materials: <a href="https://www.superdatascience.com/719">www.superdatascience.com/719</a></p>]]>
      </content:encoded>
      <itunes:duration>6467</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>718: ChatGPT Custom Instructions: A Major, Easy Hack for Data Scientists</title>
      <description>Elevate your ChatGPT game with a useful custom instruction. Tune in to hear Jon’s trick for maximizing ChatGPT’s potential.Additional materials: www.superdatascience.com/718Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 29 Sep 2023 11:00:00 -0000</pubDate>
      <itunes:title>718: ChatGPT Custom Instructions: A Major, Easy Hack for Data Scientists</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/21a7aec6-1c32-11ef-9765-1b25ab6775cc/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Elevate your ChatGPT game with a useful custom instruction. Tune in to hear Jon’s trick for maximizing ChatGPT’s potential.Additional materials: www.superdatascience.com/718Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Elevate your ChatGPT game with a useful custom instruction. Tune in to hear Jon’s trick for maximizing ChatGPT’s potential.Additional materials: www.superdatascience.com/718Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Elevate your ChatGPT game with a useful custom instruction. Tune in to hear Jon’s trick for maximizing ChatGPT’s potential.<br><br>Additional materials: <a href="https://www.superdatascience.com/718">www.superdatascience.com/718</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://JonKrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>302</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-13678478]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2189046646.mp3?updated=1716819011" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>717: Overcoming Adversaries with A.I. for Cybersecurity, with Dr. Dan Shiebler</title>
      <description>Dr. Dan Shiebler, Head of ML at Abnormal Security, joins Jon Krohn this week and unveils the intricacies of cybercrime detection and email protection, and the role of AI in future challenges.This episode is brought to you by Grafbase, the unified data layer, by ODSC, the Open Data Science Conference,  and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• The heuristic and “intermediate” ML models that they develop at Abnormal Security [07:08]• How Dan uses LLMs at Abnormal Security [15:46]• How false negatives are individually the biggest classification error to avoid in cybersecurity [20:49]• How head-to-head competitor analysis helps refine models [34:34]• Resilient ML in cybersecurity [38:36]• Abnormal Security’s routine for updating their models [52:37]• AI's impact on the urban world [1:09:57]• How to stay updated in data science and AI [1:13:46]Additional materials: www.superdatascience.com/717</description>
      <pubDate>Tue, 26 Sep 2023 11:00:00 -0000</pubDate>
      <itunes:title>717: Overcoming Adversaries with A.I. for Cybersecurity, with Dr. Dan Shiebler</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/22188376-1c32-11ef-9765-bb1b82d9d287/image/ae5db9d4b1398008e508f32dce7c8274.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Dr. Dan Shiebler, Head of ML at Abnormal Security, joins Jon Krohn this week and unveils the intricacies of cybercrime detection and email protection, and the role of AI in future challenges.This episode is brought to you by Grafbase, the unified data layer, by ODSC, the Open Data Science Conference,  and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you wil...</itunes:subtitle>
      <itunes:summary>Dr. Dan Shiebler, Head of ML at Abnormal Security, joins Jon Krohn this week and unveils the intricacies of cybercrime detection and email protection, and the role of AI in future challenges.This episode is brought to you by Grafbase, the unified data layer, by ODSC, the Open Data Science Conference,  and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• The heuristic and “intermediate” ML models that they develop at Abnormal Security [07:08]• How Dan uses LLMs at Abnormal Security [15:46]• How false negatives are individually the biggest classification error to avoid in cybersecurity [20:49]• How head-to-head competitor analysis helps refine models [34:34]• Resilient ML in cybersecurity [38:36]• Abnormal Security’s routine for updating their models [52:37]• AI's impact on the urban world [1:09:57]• How to stay updated in data science and AI [1:13:46]Additional materials: www.superdatascience.com/717</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Dr. Dan Shiebler, Head of ML at Abnormal Security, joins Jon Krohn this week and unveils the intricacies of cybercrime detection and email protection, and the role of AI in future challenges.<br><br>This episode is brought to you by <a href="https://grafbase.com/">Grafbase</a>, the unified data layer, by <a href="https://odsc.com">ODSC</a>, the Open Data Science Conference,  and by <a href="https://modelbit.com/">Modelbit</a>, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• The heuristic and “intermediate” ML models that they develop at Abnormal Security [07:08]<br>• How Dan uses LLMs at Abnormal Security [15:46]<br>• How false negatives are individually the biggest classification error to avoid in cybersecurity [20:49]<br>• How head-to-head competitor analysis helps refine models [34:34]<br>• Resilient ML in cybersecurity [38:36]<br>• Abnormal Security’s routine for updating their models [52:37]<br>• AI's impact on the urban world [1:09:57]<br>• How to stay updated in data science and AI [1:13:46]<br><br>Additional materials: <a href="https://www.superdatascience.com/717">www.superdatascience.com/717</a></p>]]>
      </content:encoded>
      <itunes:duration>4848</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7727038078.mp3?updated=1716819012" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>716: Happiness and Life-Fulfillment Hacks</title>
      <description>Jon Krohn's 94-year-old grandmother, Annie, who's bursting with life and wisdom, shares her recipe to lifelong happiness and how relationships and daily intentions play an integral role. Annie also shares her curious take on modern technology. Get inspired by her infectious joy and perspective on life.Additional materials: www.superdatascience.com/716Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 22 Sep 2023 11:00:00 -0000</pubDate>
      <itunes:title>716: Happiness and Life-Fulfillment Hacks</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2295ae50-1c32-11ef-9765-e7943a2bcfd1/image/711e1b22d5e83d255914a1f592305db9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn's 94-year-old grandmother, Annie, who's bursting with life and wisdom, shares her recipe to lifelong happiness and how relationships and daily intentions play an integral role. Annie also shares her curious take on modern technology. Get inspired by her infectious joy and perspective on life.Additional materials: www.superdatascience.com/716Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Jon Krohn's 94-year-old grandmother, Annie, who's bursting with life and wisdom, shares her recipe to lifelong happiness and how relationships and daily intentions play an integral role. Annie also shares her curious take on modern technology. Get inspired by her infectious joy and perspective on life.Additional materials: www.superdatascience.com/716Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn's 94-year-old grandmother, Annie, who's bursting with life and wisdom, shares her recipe to lifelong happiness and how relationships and daily intentions play an integral role. Annie also shares her curious take on modern technology. Get inspired by her infectious joy and perspective on life.<br><br>Additional materials: <a href="https://www.superdatascience.com/716">www.superdatascience.com/716</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>832</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-13632464]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6270600552.mp3?updated=1716819013" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>715: Make Better Decisions with Data, with Dr. Allen Downey</title>
      <description>Join us as Dr. Allen Downey, renowned author and professor, shares insights from his upcoming book 'Probably Overthinking It,' breaking down underused techniques like Survival Analysis, explaining common paradoxes, and discussing the dynamic Overton Window.This episode is brought to you by the Zerve data science dev environment, by  Modelbit, for deploying models in seconds, and by Grafbase, the unified data layer. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Why interpreting data is not always easy [06:21]• What is Survival Analysis [15:32]• Preston's Paradox [22:09]• Are you Normal? [36:52]• How to better prepare for rare “Black Swan” events [42:48]• What is an Overton Window? [53:06]• What is the base rate fallacy? [1:23:31]• How to protect yourself from biased samples [1:33:39]• Simpson’s Paradox [1:42:43]Additional materials: www.superdatascience.com/715</description>
      <pubDate>Tue, 19 Sep 2023 11:00:00 -0000</pubDate>
      <itunes:title>715: Make Better Decisions with Data, with Dr. Allen Downey</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2316a276-1c32-11ef-9765-db2848cea431/image/ebe61dbff7b8892d03be4cd4f01387b7.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Join us as Dr. Allen Downey, renowned author and professor, shares insights from his upcoming book 'Probably Overthinking It,' breaking down underused techniques like Survival Analysis, explaining common paradoxes, and discussing the dynamic Overton Window.This episode is brought to you by the Zerve data science dev environment, by  Modelbit, for deploying models in seconds, and by Grafbase, the unified data layer. Interested in sponsoring a SuperDataScience Podcast episode? Visit J...</itunes:subtitle>
      <itunes:summary>Join us as Dr. Allen Downey, renowned author and professor, shares insights from his upcoming book 'Probably Overthinking It,' breaking down underused techniques like Survival Analysis, explaining common paradoxes, and discussing the dynamic Overton Window.This episode is brought to you by the Zerve data science dev environment, by  Modelbit, for deploying models in seconds, and by Grafbase, the unified data layer. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Why interpreting data is not always easy [06:21]• What is Survival Analysis [15:32]• Preston's Paradox [22:09]• Are you Normal? [36:52]• How to better prepare for rare “Black Swan” events [42:48]• What is an Overton Window? [53:06]• What is the base rate fallacy? [1:23:31]• How to protect yourself from biased samples [1:33:39]• Simpson’s Paradox [1:42:43]Additional materials: www.superdatascience.com/715</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Join us as Dr. Allen Downey, renowned author and professor, shares insights from his upcoming book 'Probably Overthinking It,' breaking down underused techniques like Survival Analysis, explaining common paradoxes, and discussing the dynamic Overton Window.<br><br>This episode is brought to you by the <a href="https://www.zerve.ai/">Zerve</a> data science dev environment, by  <a href="https://modelbit.com/">Modelbit</a>, for deploying models in seconds, and by <a href="https://grafbase.com/">Grafbase</a>, the unified data layer. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://gate.sc/?url=http%3A%2F%2FJonKrohn.com%2Fpodcast&amp;token=2f7e28-1-1695111128289">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Why interpreting data is not always easy [06:21]<br>• What is Survival Analysis [15:32]<br>• Preston's Paradox [22:09]<br>• Are you Normal? [36:52]<br>• How to better prepare for rare “Black Swan” events [42:48]<br>• What is an Overton Window? [53:06]<br>• What is the base rate fallacy? [1:23:31]<br>• How to protect yourself from biased samples [1:33:39]<br>• Simpson’s Paradox [1:42:43]<br><br>Additional materials: <a href="https://www.superdatascience.com/715">www.superdatascience.com/715</a></p>]]>
      </content:encoded>
      <itunes:duration>6946</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-13617307]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3842417605.mp3?updated=1716819014" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>714: Using A.I. to Overcome Blindness and Thrive as a Data Scientist</title>
      <description>In this Friday episode, guest Tim Albiges explores with host Jon Krohn how people with blindness can have a lucrative and fulfilling career in data science, how Tim’s PhD thesis applied machine learning to help diagnose chronic respiratory diseases, and the communication tools that blind people can use to live a full and independent life.Additional materials: www.superdatascience.com/714Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 15 Sep 2023 11:00:00 -0000</pubDate>
      <itunes:title>714: Using A.I. to Overcome Blindness and Thrive as a Data Scientist</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/23abb258-1c32-11ef-9765-27f4c4eb933f/image/146671f4f667b2637359492b5afc5782.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this Friday episode, guest Tim Albiges explores with host Jon Krohn how people with blindness can have a lucrative and fulfilling career in data science, how Tim’s PhD thesis applied machine learning to help diagnose chronic respiratory diseases, and the communication tools that blind people can use to live a full and independent life.Additional materials: www.superdatascience.com/714Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship inf...</itunes:subtitle>
      <itunes:summary>In this Friday episode, guest Tim Albiges explores with host Jon Krohn how people with blindness can have a lucrative and fulfilling career in data science, how Tim’s PhD thesis applied machine learning to help diagnose chronic respiratory diseases, and the communication tools that blind people can use to live a full and independent life.Additional materials: www.superdatascience.com/714Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this Friday episode, guest Tim Albiges explores with host Jon Krohn how people with blindness can have a lucrative and fulfilling career in data science, how Tim’s PhD thesis applied machine learning to help diagnose chronic respiratory diseases, and the communication tools that blind people can use to live a full and independent life.<br><br>Additional materials: <a href="https://www.superdatascience.com/714">www.superdatascience.com/714</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2209</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-13590663]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8959799897.mp3?updated=1716819015" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>713: Llama 2, Toolformer and BLOOM: Open-Source LLMs with Meta's Dr. Thomas Scialom</title>
      <description>Artificial General Intelligence, RLHF’s application in AI, and how entrepreneurs can enter the AI industry: Meta’s AI Research Scientist Thomas Scialom gives us behind-the-scenes insights into developing Llama 2 and what’s in the works for Llama 3. With host Jon Krohn, he discusses the future of Artificial General Intelligence, why the Galactica science-focused LLM was taken down, and what he learned from it.This episode is brought to you by AWS Inferentia, by Grafbase, the unified data layer, and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Llama 2: Behind the Scenes of Today’s Top Open-Source LLM [05:04]• Responsible use of Llama 2 [15:26]• Toolformer: LLM That Learns How to Use External Tools [24:57]• Galactica: The Science-Specific LLM and Why It Was Brought Down [36:57]• Is AGI Around the Corner? [57:03]• Advice for AI entrepreneurs [1:05:46]• How Thomas develops and manages large-scale AI projects [1:14:42]Additional materials: www.superdatascience.com/713</description>
      <pubDate>Tue, 12 Sep 2023 11:00:00 -0000</pubDate>
      <itunes:title>713: Llama 2, Toolformer and BLOOM: Open-Source LLMs with Meta's Dr. Thomas Scialom</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2452f0c2-1c32-11ef-9765-b7f0c8f17f16/image/7a9c740dc1324924f88d4d97a4e083b1.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Artificial General Intelligence, RLHF’s application in AI, and how entrepreneurs can enter the AI industry: Meta’s AI Research Scientist Thomas Scialom gives us behind-the-scenes insights into developing Llama 2 and what’s in the works for Llama 3. With host Jon Krohn, he discusses the future of Artificial General Intelligence, why the Galactica science-focused LLM was taken down, and what he learned from it.This episode is brought to you by AWS Inferentia, by Grafbase, the unified data layer...</itunes:subtitle>
      <itunes:summary>Artificial General Intelligence, RLHF’s application in AI, and how entrepreneurs can enter the AI industry: Meta’s AI Research Scientist Thomas Scialom gives us behind-the-scenes insights into developing Llama 2 and what’s in the works for Llama 3. With host Jon Krohn, he discusses the future of Artificial General Intelligence, why the Galactica science-focused LLM was taken down, and what he learned from it.This episode is brought to you by AWS Inferentia, by Grafbase, the unified data layer, and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Llama 2: Behind the Scenes of Today’s Top Open-Source LLM [05:04]• Responsible use of Llama 2 [15:26]• Toolformer: LLM That Learns How to Use External Tools [24:57]• Galactica: The Science-Specific LLM and Why It Was Brought Down [36:57]• Is AGI Around the Corner? [57:03]• Advice for AI entrepreneurs [1:05:46]• How Thomas develops and manages large-scale AI projects [1:14:42]Additional materials: www.superdatascience.com/713</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Artificial General Intelligence, RLHF’s application in AI, and how entrepreneurs can enter the AI industry: Meta’s AI Research Scientist Thomas Scialom gives us behind-the-scenes insights into developing Llama 2 and what’s in the works for Llama 3. With host Jon Krohn, he discusses the future of Artificial General Intelligence, why the Galactica science-focused LLM was taken down, and what he learned from it.<br><br>This episode is brought to you by <a href="https://go.aws/3zWS0au">AWS Inferentia</a>, by <a href="https://grafbase.com/">Grafbase</a>, the unified data layer, and by <a href="https://modelbit.com/">Modelbit</a>, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Llama 2: Behind the Scenes of Today’s Top Open-Source LLM [05:04]<br>• Responsible use of Llama 2 [15:26]<br>• Toolformer: LLM That Learns How to Use External Tools [24:57]<br>• Galactica: The Science-Specific LLM and Why It Was Brought Down [36:57]<br>• Is AGI Around the Corner? [57:03]<br>• Advice for AI entrepreneurs [1:05:46]<br>• How Thomas develops and manages large-scale AI projects [1:14:42]<br><br>Additional materials: <a href="https://www.superdatascience.com/713">www.superdatascience.com/713</a></p>]]>
      </content:encoded>
      <itunes:duration>5135</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>712: Code Llama</title>
      <description>Code Llama might just be starting the revolution for how data scientists code. In this Five-Minute Friday, host Jon Krohn investigates the suite of models under the free-to-use Code Llama and how to find the best fit for your project’s needs.Additional materials: www.superdatascience.com/712Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 08 Sep 2023 11:00:00 -0000</pubDate>
      <itunes:title>712: Code Llama</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/252673ac-1c32-11ef-9765-07a47a5954a8/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Code Llama might just be starting the revolution for how data scientists code. In this Five-Minute Friday, host Jon Krohn investigates the suite of models under the free-to-use Code Llama and how to find the best fit for your project’s needs.Additional materials: www.superdatascience.com/712Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Code Llama might just be starting the revolution for how data scientists code. In this Five-Minute Friday, host Jon Krohn investigates the suite of models under the free-to-use Code Llama and how to find the best fit for your project’s needs.Additional materials: www.superdatascience.com/712Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Code Llama might just be starting the revolution for how data scientists code. In this Five-Minute Friday, host Jon Krohn investigates the suite of models under the free-to-use Code Llama and how to find the best fit for your project’s needs.<br><br>Additional materials: <a href="https://www.superdatascience.com/712">www.superdatascience.com/712</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://gate.sc/?url=http%3A%2F%2FJonKrohn.com%2Fpodcast&amp;token=b5b910-1-1694098524505">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>408</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>711: Image, Video and 3D-Model Generation from Natural Language, with Dr. Ajay Jain</title>
      <description>In this episode, host Jon Krohn explores with his guest Ajay Jain, Co-Founder of Genmo.ai, how creative general intelligence could take the video industry by storm. They also discuss the models that got Genmo to this point, the applications of NeRF, and how understanding human psychology is so essential to developing models that output high-fidelity video.This episode is brought to you by the Zerve data science dev environment, by Grafbase, the unified data layer, and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• About Genmo.ai and the term “creative general intelligence” [03:47]• Why Ajay started Genmo.ai [09:26]• The increased performance of multimodal models [21:12]• All about Denoising Diffusion Probabilistic Models (DDPMs) [31:03]• The application of Neural Radiance Fields (NeRF) [55:26]• Predicting pedestrian behavior at Uber [1:01:50]• How to save money in the process of training models [1:12:42]Additional materials: www.superdatascience.com/711</description>
      <pubDate>Tue, 05 Sep 2023 11:00:00 -0000</pubDate>
      <itunes:title>711: Image, Video and 3D-Model Generation from Natural Language, with Dr. Ajay Jain</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/259c8fce-1c32-11ef-9765-031c53e7f5cf/image/65eb5ed8b6083b8af336e24b608618c3.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, host Jon Krohn explores with his guest Ajay Jain, Co-Founder of Genmo.ai, how creative general intelligence could take the video industry by storm. They also discuss the models that got Genmo to this point, the applications of NeRF, and how understanding human psychology is so essential to developing models that output high-fidelity video.This episode is brought to you by the Zerve data science dev environment, by Grafbase, the unified data layer, and by Modelbit, for deployi...</itunes:subtitle>
      <itunes:summary>In this episode, host Jon Krohn explores with his guest Ajay Jain, Co-Founder of Genmo.ai, how creative general intelligence could take the video industry by storm. They also discuss the models that got Genmo to this point, the applications of NeRF, and how understanding human psychology is so essential to developing models that output high-fidelity video.This episode is brought to you by the Zerve data science dev environment, by Grafbase, the unified data layer, and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• About Genmo.ai and the term “creative general intelligence” [03:47]• Why Ajay started Genmo.ai [09:26]• The increased performance of multimodal models [21:12]• All about Denoising Diffusion Probabilistic Models (DDPMs) [31:03]• The application of Neural Radiance Fields (NeRF) [55:26]• Predicting pedestrian behavior at Uber [1:01:50]• How to save money in the process of training models [1:12:42]Additional materials: www.superdatascience.com/711</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, host Jon Krohn explores with his guest Ajay Jain, Co-Founder of Genmo.ai, how creative general intelligence could take the video industry by storm. They also discuss the models that got Genmo to this point, the applications of NeRF, and how understanding human psychology is so essential to developing models that output high-fidelity video.<br><br>This episode is brought to you by the <a href="https://www.zerve.ai/">Zerve</a> data science dev environment, by <a href="https://grafbase.com/">Grafbase</a>, the unified data layer, and by <a href="https://modelbit.com/">Modelbit</a>, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• About Genmo.ai and the term “creative general intelligence” [03:47]<br>• Why Ajay started Genmo.ai [09:26]<br>• The increased performance of multimodal models [21:12]<br>• All about Denoising Diffusion Probabilistic Models (DDPMs) [31:03]<br>• The application of Neural Radiance Fields (NeRF) [55:26]<br>• Predicting pedestrian behavior at Uber [1:01:50]<br>• How to save money in the process of training models [1:12:42]<br><br>Additional materials: <a href="https://www.superdatascience.com/711">www.superdatascience.com/711</a></p>]]>
      </content:encoded>
      <itunes:duration>5163</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4541335378.mp3?updated=1716819018" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>710: LangChain: Create LLM Applications Easily in Python</title>
      <description>Discover the power of Large Language Models with Kris Ograbek as he unravels the intricacies of LangChain and showcases a chatbot in action, all while putting our host Jon Krohn in the hot seat!Additional materials: www.superdatascience.com/710Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 01 Sep 2023 11:00:00 -0000</pubDate>
      <itunes:title>710: LangChain: Create LLM Applications Easily in Python</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/26111394-1c32-11ef-9765-fb94327d7d1c/image/e5ad581d67d852842b1f3b077ed1d041.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Discover the power of Large Language Models with Kris Ograbek as he unravels the intricacies of LangChain and showcases a chatbot in action, all while putting our host Jon Krohn in the hot seat!Additional materials: www.superdatascience.com/710Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Discover the power of Large Language Models with Kris Ograbek as he unravels the intricacies of LangChain and showcases a chatbot in action, all while putting our host Jon Krohn in the hot seat!Additional materials: www.superdatascience.com/710Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Discover the power of Large Language Models with Kris Ograbek as he unravels the intricacies of LangChain and showcases a chatbot in action, all while putting our host Jon Krohn in the hot seat!<br><br>Additional materials: <a href="https://www.superdatascience.com/710">www.superdatascience.com/710</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://JonKrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>3793</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-13503976]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7502040503.mp3?updated=1716819019" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>709: Big A.I. R&amp;D Risks Reap Big Societal Rewards, with Meta's Dr. Laurens van der Maaten</title>
      <description>Meta's Senior Research Director, Dr. Laurens van der Maaten, takes center stage to unravel the captivating realm of AI innovation. Learn about his groundbreaking contributions, including pioneering the t-SNE dimensionality reduction technique and harnessing AI for novel protein synthesis, climate change mitigation, and wearable materials simulation. Join us to explore the transformative power of AI across diverse domains and gain a glimpse into its future societal implications.This episode is brought to you by AWS Inferentia, by Modelbit, for deploying models in seconds, and by Grafbase, the unified data layer. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Large-scale learning of image recognition models on web data [05:05]• Evolutionary Scale Modeling protein models [16:45]• Fighting climate change by building an A.I. model [29:49]• The CrypTen privacy-preserving ML framework [38:36]• Concerns about adversarial examples [53:25]• Laurens’ t-SNE algorithm [58:56]• How to make a big impact [1:07:25]Additional materials: www.superdatascience.com/709</description>
      <pubDate>Tue, 29 Aug 2023 11:00:00 -0000</pubDate>
      <itunes:title>709: Big A.I. R&amp;D Risks Reap Big Societal Rewards, with Meta's Dr. Laurens van der Maaten</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/26828970-1c32-11ef-9765-ebcda7ae81ab/image/af23ff76e5fa6c8e81f958091512601b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Meta's Senior Research Director, Dr. Laurens van der Maaten, takes center stage to unravel the captivating realm of AI innovation. Learn about his groundbreaking contributions, including pioneering the t-SNE dimensionality reduction technique and harnessing AI for novel protein synthesis, climate change mitigation, and wearable materials simulation. Join us to explore the transformative power of AI across diverse domains and gain a glimpse into its future societal implications.This episode is...</itunes:subtitle>
      <itunes:summary>Meta's Senior Research Director, Dr. Laurens van der Maaten, takes center stage to unravel the captivating realm of AI innovation. Learn about his groundbreaking contributions, including pioneering the t-SNE dimensionality reduction technique and harnessing AI for novel protein synthesis, climate change mitigation, and wearable materials simulation. Join us to explore the transformative power of AI across diverse domains and gain a glimpse into its future societal implications.This episode is brought to you by AWS Inferentia, by Modelbit, for deploying models in seconds, and by Grafbase, the unified data layer. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Large-scale learning of image recognition models on web data [05:05]• Evolutionary Scale Modeling protein models [16:45]• Fighting climate change by building an A.I. model [29:49]• The CrypTen privacy-preserving ML framework [38:36]• Concerns about adversarial examples [53:25]• Laurens’ t-SNE algorithm [58:56]• How to make a big impact [1:07:25]Additional materials: www.superdatascience.com/709</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Meta's Senior Research Director, Dr. Laurens van der Maaten, takes center stage to unravel the captivating realm of AI innovation. Learn about his groundbreaking contributions, including pioneering the t-SNE dimensionality reduction technique and harnessing AI for novel protein synthesis, climate change mitigation, and wearable materials simulation. Join us to explore the transformative power of AI across diverse domains and gain a glimpse into its future societal implications.<br><br>This episode is brought to you by <a href="https://go.aws/3zWS0au">AWS Inferentia</a>, by <a href="https://modelbit.com/">Modelbit</a>, for deploying models in seconds, and by <a href="https://grafbase.com/">Grafbase</a>, the unified data layer. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Large-scale learning of image recognition models on web data [05:05]<br>• Evolutionary Scale Modeling protein models [16:45]<br>• Fighting climate change by building an A.I. model [29:49]<br>• The CrypTen privacy-preserving ML framework [38:36]<br>• Concerns about adversarial examples [53:25]<br>• Laurens’ t-SNE algorithm [58:56]<br>• How to make a big impact [1:07:25]<br><br>Additional materials: <a href="https://gate.sc/?url=http%3A%2F%2Fwww.superdatascience.com%2F709&amp;token=7523f-1-1693294926328">www.superdatascience.com/709</a></p>]]>
      </content:encoded>
      <itunes:duration>4839</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>708: ChatGPT Code Interpreter: 5 Hacks for Data Scientists</title>
      <description>On this week’s Five-Minute Friday, host Jon Krohn gives five reasons why he is so excited about ChatGPT’s Code Interpreter and walks listeners through its capabilities with a practical example.Additional materials: www.superdatascience.com/708Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 25 Aug 2023 11:00:00 -0000</pubDate>
      <itunes:title>708: ChatGPT Code Interpreter: 5 Hacks for Data Scientists</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/26f6ade6-1c32-11ef-9765-0b73fcf8af75/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>On this week’s Five-Minute Friday, host Jon Krohn gives five reasons why he is so excited about ChatGPT’s Code Interpreter and walks listeners through its capabilities with a practical example.Additional materials: www.superdatascience.com/708Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>On this week’s Five-Minute Friday, host Jon Krohn gives five reasons why he is so excited about ChatGPT’s Code Interpreter and walks listeners through its capabilities with a practical example.Additional materials: www.superdatascience.com/708Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On this week’s Five-Minute Friday, host Jon Krohn gives five reasons why he is so excited about ChatGPT’s Code Interpreter and walks listeners through its capabilities with a practical example.<br><br>Additional materials: <a href="https://www.superdatascience.com/708">www.superdatascience.com/708</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1365</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9965447370.mp3?updated=1716819020" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>707: Vicuña, Gorilla, Chatbot Arena and Socially Beneficial LLMs, with Prof. Joey Gonzalez</title>
      <description>LLM Vicuña, Chatbot Arena, and the race to increase LLM context windows: This episode’s guest Joey Gonzalez talks to Jon Krohn about developing models and platforms that leverage and improve LLMs, as well as the future of AI development and access.This episode is brought to you by the AWS Insiders Podcast, by Modelbit, for deploying models in seconds, and by Grafbase, the unified data layer. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Vicuña: How the revolutionary LLM came to be [03:35]• Chatbot Arena: The leading LLM leaderboard [09:47]• Trusting LLM results [17:54]• Gorilla: The open-source ChatGPT plugin alternative [32:13]• About LMSYS and long context windows [47:48]• Open- vs closed-source LLMs: Which is better? [1:01:39]• Aqueduct [1:16:49]• Founding GraphLab [1:27:02]• How AI will positively impact society in the coming decades [1:32:31]Additional materials: www.superdatascience.com/707</description>
      <pubDate>Tue, 22 Aug 2023 11:00:00 -0000</pubDate>
      <itunes:title>707: Vicuña, Gorilla, Chatbot Arena and Socially Beneficial LLMs, with Prof. Joey Gonzalez</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/276fd068-1c32-11ef-9765-4fac3261ce1e/image/9a1484661a7f70b21b5c4ad7bebb06e0.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>LLM Vicuña, Chatbot Arena, and the race to increase LLM context windows: This episode’s guest Joey Gonzalez talks to Jon Krohn about developing models and platforms that leverage and improve LLMs, as well as the future of AI development and access.This episode is brought to you by the AWS Insiders Podcast, by Modelbit, for deploying models in seconds, and by Grafbase, the unified data layer. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorshi...</itunes:subtitle>
      <itunes:summary>LLM Vicuña, Chatbot Arena, and the race to increase LLM context windows: This episode’s guest Joey Gonzalez talks to Jon Krohn about developing models and platforms that leverage and improve LLMs, as well as the future of AI development and access.This episode is brought to you by the AWS Insiders Podcast, by Modelbit, for deploying models in seconds, and by Grafbase, the unified data layer. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Vicuña: How the revolutionary LLM came to be [03:35]• Chatbot Arena: The leading LLM leaderboard [09:47]• Trusting LLM results [17:54]• Gorilla: The open-source ChatGPT plugin alternative [32:13]• About LMSYS and long context windows [47:48]• Open- vs closed-source LLMs: Which is better? [1:01:39]• Aqueduct [1:16:49]• Founding GraphLab [1:27:02]• How AI will positively impact society in the coming decades [1:32:31]Additional materials: www.superdatascience.com/707</itunes:summary>
      <content:encoded>
        <![CDATA[<p>LLM Vicuña, Chatbot Arena, and the race to increase LLM context windows: This episode’s guest Joey Gonzalez talks to Jon Krohn about developing models and platforms that leverage and improve LLMs, as well as the future of AI development and access.<br><br>This episode is brought to you by the <a href="https://pod.link/1608453414">AWS Insiders Podcast</a>, by <a href="https://modelbit.com/">Modelbit</a>, for deploying models in seconds, and by <a href="https://grafbase.com">Grafbase</a>, the unified data layer. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Vicuña: How the revolutionary LLM came to be [03:35]<br>• Chatbot Arena: The leading LLM leaderboard [09:47]<br>• Trusting LLM results [17:54]<br>• Gorilla: The open-source ChatGPT plugin alternative [32:13]<br>• About LMSYS and long context windows [47:48]<br>• Open- vs closed-source LLMs: Which is better? [1:01:39]<br>• Aqueduct [1:16:49]<br>• Founding GraphLab [1:27:02]<br>• How AI will positively impact society in the coming decades [1:32:31]<br><br>Additional materials: <a href="https://www.superdatascience.com/707">www.superdatascience.com/707</a></p>]]>
      </content:encoded>
      <itunes:duration>6435</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>706: Large Language Model Leaderboards and Benchmarks</title>
      <description>In this episode, Caterina Constantinescu dives deep into Large Language Models (LLMs), spotlighting top leaderboards, evaluation benchmarks, and real-world user perceptions. Plus, discover the challenges of dataset contamination and the intricacies of platforms like HELM and Chatbot Arena.Additional materials: www.superdatascience.com/706Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 18 Aug 2023 11:00:00 -0000</pubDate>
      <itunes:title>706: Large Language Model Leaderboards and Benchmarks</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/27e1d0e6-1c32-11ef-9765-9b240b5b361a/image/1bd05a6eb92065e5b3bda596c53271b4.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Caterina Constantinescu dives deep into Large Language Models (LLMs), spotlighting top leaderboards, evaluation benchmarks, and real-world user perceptions. Plus, discover the challenges of dataset contamination and the intricacies of platforms like HELM and Chatbot Arena.Additional materials: www.superdatascience.com/706Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>In this episode, Caterina Constantinescu dives deep into Large Language Models (LLMs), spotlighting top leaderboards, evaluation benchmarks, and real-world user perceptions. Plus, discover the challenges of dataset contamination and the intricacies of platforms like HELM and Chatbot Arena.Additional materials: www.superdatascience.com/706Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Caterina Constantinescu dives deep into Large Language Models (LLMs), spotlighting top leaderboards, evaluation benchmarks, and real-world user perceptions. Plus, discover the challenges of dataset contamination and the intricacies of platforms like HELM and Chatbot Arena.<br><br>Additional materials: <a href="https://www.superdatascience.com/706">www.superdatascience.com/706</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2007</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>705: Feeding the World with ML-Powered Precision Agriculture</title>
      <description>Join Jon Krohn as he chats with Syngenta Group's Feroz Sheikh, Jeremy Groeteke, and Thomas Jung about the digital revolution in agriculture. Learn how data science is evolving farming, from precision techniques to global food solutions. A compelling blend of tech meets nature.This episode is brought to you by AWS Inferentia and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What is precision agriculture? [09:43]• What is computational agronomy? [12:30]• How Syngenta helps growers optimize yields [21:37]• How to bridge the gap between R&amp;D and out in the real world [33:58]• What is generative chemistry? [37:52]• How generative chemistry accelerates the discovery of new compounds [41:55]• How you could make a big social impact in agriculture with data science [56:22]• How to go about designing ML models for agriculture [1:00:27]Additional materials: www.superdatascience.com/705</description>
      <pubDate>Tue, 15 Aug 2023 11:00:00 -0000</pubDate>
      <itunes:title>705: Feeding the World with ML-Powered Precision Agriculture</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/285be57a-1c32-11ef-9765-7b606f66b5c5/image/81191b345504f593245337f5981d2593.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Join Jon Krohn as he chats with Syngenta Group's Feroz Sheikh, Jeremy Groeteke, and Thomas Jung about the digital revolution in agriculture. Learn how data science is evolving farming, from precision techniques to global food solutions. A compelling blend of tech meets nature.This episode is brought to you by AWS Inferentia and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In th...</itunes:subtitle>
      <itunes:summary>Join Jon Krohn as he chats with Syngenta Group's Feroz Sheikh, Jeremy Groeteke, and Thomas Jung about the digital revolution in agriculture. Learn how data science is evolving farming, from precision techniques to global food solutions. A compelling blend of tech meets nature.This episode is brought to you by AWS Inferentia and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What is precision agriculture? [09:43]• What is computational agronomy? [12:30]• How Syngenta helps growers optimize yields [21:37]• How to bridge the gap between R&amp;D and out in the real world [33:58]• What is generative chemistry? [37:52]• How generative chemistry accelerates the discovery of new compounds [41:55]• How you could make a big social impact in agriculture with data science [56:22]• How to go about designing ML models for agriculture [1:00:27]Additional materials: www.superdatascience.com/705</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Join Jon Krohn as he chats with Syngenta Group's Feroz Sheikh, Jeremy Groeteke, and Thomas Jung about the digital revolution in agriculture. Learn how data science is evolving farming, from precision techniques to global food solutions. A compelling blend of tech meets nature.<br><br>This episode is brought to you by <a href="https://go.aws/3zWS0au">AWS Inferentia</a> and by <a href="https://modelbit.com/">Modelbit</a>, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• What is precision agriculture? [09:43]<br>• What is computational agronomy? [12:30]<br>• How Syngenta helps growers optimize yields [21:37]<br>• How to bridge the gap between R&amp;D and out in the real world [33:58]<br>• What is generative chemistry? [37:52]<br>• How generative chemistry accelerates the discovery of new compounds [41:55]<br>• How you could make a big social impact in agriculture with data science [56:22]<br>• How to go about designing ML models for agriculture [1:00:27]<br><br>Additional materials: <a href="https://www.superdatascience.com/705">www.superdatascience.com/705</a></p>]]>
      </content:encoded>
      <itunes:duration>5351</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5618424508.mp3?updated=1716819023" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>704: Jon’s “Generative A.I. with LLMs” Hands-on Training</title>
      <description>Take on the world of GPT and learn to develop your own, commercially successful Large Language Models (LLMs) with Jon Krohn’s comprehensive, guided training video for generative AI. Get to grips with the technology, learn which tools to use, and find out how to get an eye for business-viable models with Jon’s (ad-)free educational video.Additional materials: www.superdatascience.com/704Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 11 Aug 2023 11:00:00 -0000</pubDate>
      <itunes:title>704: Jon’s “Generative A.I. with LLMs” Hands-on Training</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/28e8ba7c-1c32-11ef-9765-33ad1a894ca3/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Take on the world of GPT and learn to develop your own, commercially successful Large Language Models (LLMs) with Jon Krohn’s comprehensive, guided training video for generative AI. Get to grips with the technology, learn which tools to use, and find out how to get an eye for business-viable models with Jon’s (ad-)free educational video.Additional materials: www.superdatascience.com/704Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship info...</itunes:subtitle>
      <itunes:summary>Take on the world of GPT and learn to develop your own, commercially successful Large Language Models (LLMs) with Jon Krohn’s comprehensive, guided training video for generative AI. Get to grips with the technology, learn which tools to use, and find out how to get an eye for business-viable models with Jon’s (ad-)free educational video.Additional materials: www.superdatascience.com/704Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Take on the world of GPT and learn to develop your own, commercially successful Large Language Models (LLMs) with Jon Krohn’s comprehensive, guided training video for generative AI. Get to grips with the technology, learn which tools to use, and find out how to get an eye for business-viable models with Jon’s (ad-)free educational video.<br><br>Additional materials: <a href="https://www.superdatascience.com/704">www.superdatascience.com/704</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>294</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-13382118]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3021824511.mp3?updated=1716819024" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>703: How Data Happened: A History, with Columbia Prof. Chris Wiggins</title>
      <description>Statistics history, interdisciplinarity, and data and society. Chris Wiggins talks with Jon Krohn about the power dynamics of data, the transformation of the field of biology through data-driven approaches to genetic sequencing, and the New York Times’ data science team’s cutting-edge approach to accommodating its tech stack.This episode is brought to you by the AWS Insiders Podcast and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• The importance of the humanities in data science [09:18]• How data science “rearranges” power [17:19]• An overview of How Data Happened [20:36]• The controversial nature of Bayes theorem [29:16]• Why we need to consider data ethics [34:00]• How biology came to adopt data science into its field [45:44]• The data science tech stack at the New York Times [49:18]Additional materials: www.superdatascience.com/703</description>
      <pubDate>Tue, 08 Aug 2023 11:00:00 -0000</pubDate>
      <itunes:title>703: How Data Happened: A History, with Columbia Prof. Chris Wiggins</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/296bdfe2-1c32-11ef-9765-5b3cadef152e/image/05c5ab6f2313fe8e0ca5b7416e840f50.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Statistics history, interdisciplinarity, and data and society. Chris Wiggins talks with Jon Krohn about the power dynamics of data, the transformation of the field of biology through data-driven approaches to genetic sequencing, and the New York Times’ data science team’s cutting-edge approach to accommodating its tech stack.This episode is brought to you by the AWS Insiders Podcast and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? ...</itunes:subtitle>
      <itunes:summary>Statistics history, interdisciplinarity, and data and society. Chris Wiggins talks with Jon Krohn about the power dynamics of data, the transformation of the field of biology through data-driven approaches to genetic sequencing, and the New York Times’ data science team’s cutting-edge approach to accommodating its tech stack.This episode is brought to you by the AWS Insiders Podcast and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• The importance of the humanities in data science [09:18]• How data science “rearranges” power [17:19]• An overview of How Data Happened [20:36]• The controversial nature of Bayes theorem [29:16]• Why we need to consider data ethics [34:00]• How biology came to adopt data science into its field [45:44]• The data science tech stack at the New York Times [49:18]Additional materials: www.superdatascience.com/703</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Statistics history, interdisciplinarity, and data and society. Chris Wiggins talks with Jon Krohn about the power dynamics of data, the transformation of the field of biology through data-driven approaches to genetic sequencing, and the New York Times’ data science team’s cutting-edge approach to accommodating its tech stack.<br><br>This episode is brought to you by the <a href="https://pod.link/1608453414">AWS Insiders Podcast</a> and by <a href="https://modelbit.com/">Modelbit</a>, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• The importance of the humanities in data science [09:18]<br>• How data science “rearranges” power [17:19]<br>• An overview of How Data Happened [20:36]<br>• The controversial nature of Bayes theorem [29:16]<br>• Why we need to consider data ethics [34:00]<br>• How biology came to adopt data science into its field [45:44]<br>• The data science tech stack at the New York Times [49:18]<br><br>Additional materials: <a href="https://www.superdatascience.com/703">www.superdatascience.com/703</a></p>]]>
      </content:encoded>
      <itunes:duration>4160</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1758646509.mp3?updated=1716819024" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>702: Llama 2 — It's Time to Upgrade your Open-Source LLM</title>
      <description>This week, Jon Krohn is examining Meta's newly released open-source large language model, Llama 2, highlighting its commercial prospects, immense capacity, model variety, and unique 'time awareness' feature. He also discusses its innovative two-stage RLHF approach that enhances its performance.Additional materials: www.superdatascience.com/702Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 04 Aug 2023 11:00:00 -0000</pubDate>
      <itunes:title>702: Llama 2 — It's Time to Upgrade your Open-Source LLM</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/29e027a8-1c32-11ef-9765-8fa160c80cc0/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>This week, Jon Krohn is examining Meta's newly released open-source large language model, Llama 2, highlighting its commercial prospects, immense capacity, model variety, and unique 'time awareness' feature. He also discusses its innovative two-stage RLHF approach that enhances its performance.Additional materials: www.superdatascience.com/702Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>This week, Jon Krohn is examining Meta's newly released open-source large language model, Llama 2, highlighting its commercial prospects, immense capacity, model variety, and unique 'time awareness' feature. He also discusses its innovative two-stage RLHF approach that enhances its performance.Additional materials: www.superdatascience.com/702Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week, Jon Krohn is examining Meta's newly released open-source large language model, Llama 2, highlighting its commercial prospects, immense capacity, model variety, and unique 'time awareness' feature. He also discusses its innovative two-stage RLHF approach that enhances its performance.<br><br>Additional materials: <a href="https://www.superdatascience.com/702">www.superdatascience.com/702</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>656</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4236252406.mp3?updated=1716819025" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>701: Generative A.I. without the Privacy Risks (with Prof. Raluca Ada Popa)</title>
      <description>Dr. Raluca Ada Popa, renowned computer scientist, entrepreneur, and President of Opaque Systems, joins Jon Krohn to share her insights on securely interacting with AI APIs like OpenAI's GPT-4, the pros and cons of open vs. closed-source AI development, and the seamless operation of compute pipelines across multiple clouds.This episode is brought to you by AWS Inferentia and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What is a confidential computing platform? [04:31]• How to get started with confidential computing [12:10]• The challenges of confidential computing and LLMs [21:11]• How to safeguard your data while using commercial LLMs like GPT-4 [38:00]• Open-source vs closed-source [52:28]• Raluca's PreVail cybersecurity company [1:01:50]• Combining entrepreneurship and academic career [1:04:03]• DARE Program [1:10:39]Additional materials: www.superdatascience.com/701</description>
      <pubDate>Tue, 01 Aug 2023 11:00:00 -0000</pubDate>
      <itunes:title>701: Generative A.I. without the Privacy Risks (with Prof. Raluca Ada Popa)</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2a56483e-1c32-11ef-9765-8fda34f7df61/image/27b4453769ee4f9a465af2ab124c81d7.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Dr. Raluca Ada Popa, renowned computer scientist, entrepreneur, and President of Opaque Systems, joins Jon Krohn to share her insights on securely interacting with AI APIs like OpenAI's GPT-4, the pros and cons of open vs. closed-source AI development, and the seamless operation of compute pipelines across multiple clouds.This episode is brought to you by AWS Inferentia and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKroh...</itunes:subtitle>
      <itunes:summary>Dr. Raluca Ada Popa, renowned computer scientist, entrepreneur, and President of Opaque Systems, joins Jon Krohn to share her insights on securely interacting with AI APIs like OpenAI's GPT-4, the pros and cons of open vs. closed-source AI development, and the seamless operation of compute pipelines across multiple clouds.This episode is brought to you by AWS Inferentia and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What is a confidential computing platform? [04:31]• How to get started with confidential computing [12:10]• The challenges of confidential computing and LLMs [21:11]• How to safeguard your data while using commercial LLMs like GPT-4 [38:00]• Open-source vs closed-source [52:28]• Raluca's PreVail cybersecurity company [1:01:50]• Combining entrepreneurship and academic career [1:04:03]• DARE Program [1:10:39]Additional materials: www.superdatascience.com/701</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Dr. Raluca Ada Popa, renowned computer scientist, entrepreneur, and President of Opaque Systems, joins Jon Krohn to share her insights on securely interacting with AI APIs like OpenAI's GPT-4, the pros and cons of open vs. closed-source AI development, and the seamless operation of compute pipelines across multiple clouds.<br><br>This episode is brought to you by <a href="https://go.aws/3zWS0au">AWS Inferentia</a> and by <a href="https://modelbit.com/">Modelbit</a>, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• What is a confidential computing platform? [04:31]<br>• How to get started with confidential computing [12:10]<br>• The challenges of confidential computing and LLMs [21:11]<br>• How to safeguard your data while using commercial LLMs like GPT-4 [38:00]<br>• Open-source vs closed-source [52:28]<br>• Raluca's PreVail cybersecurity company [1:01:50]<br>• Combining entrepreneurship and academic career [1:04:03]<br>• DARE Program [1:10:39]<br><br>Additional materials: <a href="https://www.superdatascience.com/701">www.superdatascience.com/701</a></p>]]>
      </content:encoded>
      <itunes:duration>4887</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>700: "The Dream of Life" by Alan Watts</title>
      <description>Yoga and Hindu mythology: This special episode continues the thread of our centenary episodes, SDS 500: Yoga Nidra with Jes Allen and SDS 600: Yoga Nidra Practice with Steve Fazzari, which talked through guided meditation techniques to help improve posture, sleep, and expand consciousness. Inspired by these sessions, host Jon Krohn explores Hindu mythology via Alan Watts’ “The Dream of Life”.Additional materials: www.superdatascience.com/700Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 28 Jul 2023 11:00:00 -0000</pubDate>
      <itunes:title>700: "The Dream of Life" by Alan Watts</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2acd7e86-1c32-11ef-9765-838bbc83c698/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Yoga and Hindu mythology: This special episode continues the thread of our centenary episodes, SDS 500: Yoga Nidra with Jes Allen and SDS 600: Yoga Nidra Practice with Steve Fazzari, which talked through guided meditation techniques to help improve posture, sleep, and expand consciousness. Inspired by these sessions, host Jon Krohn explores Hindu mythology via Alan Watts’ “The Dream of Life”.Additional materials: www.superdatascience.com/700Interested in sponsoring a SuperDataScience Podcast ...</itunes:subtitle>
      <itunes:summary>Yoga and Hindu mythology: This special episode continues the thread of our centenary episodes, SDS 500: Yoga Nidra with Jes Allen and SDS 600: Yoga Nidra Practice with Steve Fazzari, which talked through guided meditation techniques to help improve posture, sleep, and expand consciousness. Inspired by these sessions, host Jon Krohn explores Hindu mythology via Alan Watts’ “The Dream of Life”.Additional materials: www.superdatascience.com/700Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Yoga and Hindu mythology: This special episode continues the thread of our centenary episodes, SDS 500: Yoga Nidra with Jes Allen and SDS 600: Yoga Nidra Practice with Steve Fazzari, which talked through guided meditation techniques to help improve posture, sleep, and expand consciousness. Inspired by these sessions, host Jon Krohn explores Hindu mythology via Alan Watts’ “The Dream of Life”.<br><br>Additional materials: <a href="https://www.superdatascience.com/700">www.superdatascience.com/700</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>271</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3476123218.mp3?updated=1716819027" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>699: The Modern Data Stack, with Harry Glaser</title>
      <description>Model deployment, data warehouse options for running models, and how to best leverage BI tools: Harry Glaser and Jon Krohn discuss Modelbit’s capabilities to automate ML models from notebooks into production-ready models, reducing the time and effort in ‘translating’ information from one mode to another. Harry’s conversation with host Jon Krohn expanded on the importance of automating this task, and how developments in ML modeling have widened access to entire teams to analyze data, whatever their level of expertise.This episode is brought to you by the AWS Insiders Podcast. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What the modern data stack is [03:28]• Version control for data scientists [13:30]• CI/CD, load balancing and logging [20:38]• Snowflake vs. Redshift [30:10]• How tools like Looker and Tableau help monitor models [35:26]Additional materials: www.superdatascience.com/699</description>
      <pubDate>Tue, 25 Jul 2023 11:00:00 -0000</pubDate>
      <itunes:title>699: The Modern Data Stack, with Harry Glaser</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2b4a067c-1c32-11ef-9765-d3e6c136ab44/image/fb1a93b1443245beee96da65041d2199.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Model deployment, data warehouse options for running models, and how to best leverage BI tools: Harry Glaser and Jon Krohn discuss Modelbit’s capabilities to automate ML models from notebooks into production-ready models, reducing the time and effort in ‘translating’ information from one mode to another. Harry’s conversation with host Jon Krohn expanded on the importance of automating this task, and how developments in ML modeling have widened access to entire teams to analyze data, whatever ...</itunes:subtitle>
      <itunes:summary>Model deployment, data warehouse options for running models, and how to best leverage BI tools: Harry Glaser and Jon Krohn discuss Modelbit’s capabilities to automate ML models from notebooks into production-ready models, reducing the time and effort in ‘translating’ information from one mode to another. Harry’s conversation with host Jon Krohn expanded on the importance of automating this task, and how developments in ML modeling have widened access to entire teams to analyze data, whatever their level of expertise.This episode is brought to you by the AWS Insiders Podcast. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What the modern data stack is [03:28]• Version control for data scientists [13:30]• CI/CD, load balancing and logging [20:38]• Snowflake vs. Redshift [30:10]• How tools like Looker and Tableau help monitor models [35:26]Additional materials: www.superdatascience.com/699</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Model deployment, data warehouse options for running models, and how to best leverage BI tools: Harry Glaser and Jon Krohn discuss Modelbit’s capabilities to automate ML models from notebooks into production-ready models, reducing the time and effort in ‘translating’ information from one mode to another. Harry’s conversation with host Jon Krohn expanded on the importance of automating this task, and how developments in ML modeling have widened access to entire teams to analyze data, whatever their level of expertise.<br><br>This episode is brought to you by the <a href="https://pod.link/1608453414">AWS Insiders Podcast</a>. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• What the modern data stack is [03:28]<br>• Version control for data scientists [13:30]<br>• CI/CD, load balancing and logging [20:38]<br>• Snowflake vs. Redshift [30:10]<br>• How tools like Looker and Tableau help monitor models [35:26]<br><br>Additional materials: <a href="https://www.superdatascience.com/699">www.superdatascience.com/699</a></p>]]>
      </content:encoded>
      <itunes:duration>3046</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>698: How Firms Can Actually Adopt A.I., with Rehgan Avon</title>
      <description>Company-wide AI adoption can take a lot of persuasion. Rehgan Avon talks to host Jon Krohn about why AI has become necessary for forward-thinking businesses and the steps to implement AI in an institution so that everyone benefits.Additional materials: www.superdatascience.com/698Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 21 Jul 2023 11:00:00 -0000</pubDate>
      <itunes:title>698: How Firms Can Actually Adopt A.I., with Rehgan Avon</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2bc77c6a-1c32-11ef-9765-17f813b69c41/image/0434219610998f2065530cdfe27e7e76.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Company-wide AI adoption can take a lot of persuasion. Rehgan Avon talks to host Jon Krohn about why AI has become necessary for forward-thinking businesses and the steps to implement AI in an institution so that everyone benefits.Additional materials: www.superdatascience.com/698Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Company-wide AI adoption can take a lot of persuasion. Rehgan Avon talks to host Jon Krohn about why AI has become necessary for forward-thinking businesses and the steps to implement AI in an institution so that everyone benefits.Additional materials: www.superdatascience.com/698Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Company-wide AI adoption can take a lot of persuasion. Rehgan Avon talks to host Jon Krohn about why AI has become necessary for forward-thinking businesses and the steps to implement AI in an institution so that everyone benefits.<br><br>Additional materials: <a href="https://www.superdatascience.com/698">www.superdatascience.com/698</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1662</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>697: The (Short) Path to Artificial General Intelligence, with Dr. Ben Goertzel</title>
      <description>AI visionary and CEO of SingularityNET Dr. Ben Goertzel provides a deep dive into the possible realization of Artificial General Intelligence (AGI) within 3-7 years. Explore the intriguing connections between self-awareness, consciousness, and the future of Artificial Super Intelligence (ASI) and discover the transformative societal changes that could arise.This episode is brought to you by AWS Inferentia, by the AWS Insiders Podcast, and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Decentralized and benevolent AGI [03:13] • The SingularityNET ecosystem [13:10]• Dr. Goertzel's vision for realizing AGI - combining DL with neuro-symbolic systems, genetic algorithms and knowledge graphs [25:50]• How reaching AGI will trigger Artificial Super Intelligence [38:51]• Dr. Goertzel's approach to AGI using OpenCog Hyperon [42:34]• Why Dr. Goertzel believes AGI will be positive for humankind [53:07]• How to ensure the AGI is benevolent [1:06:43]• How AGI or ASI may act ethically [1:13:50]Additional materials: www.superdatascience.com/697</description>
      <pubDate>Tue, 18 Jul 2023 11:00:00 -0000</pubDate>
      <itunes:title>697: The (Short) Path to Artificial General Intelligence, with Dr. Ben Goertzel</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2c69964e-1c32-11ef-9765-9b38aff03e5a/image/38bec70287fe643232cb55070bae530a.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>AI visionary and CEO of SingularityNET Dr. Ben Goertzel provides a deep dive into the possible realization of Artificial General Intelligence (AGI) within 3-7 years. Explore the intriguing connections between self-awareness, consciousness, and the future of Artificial Super Intelligence (ASI) and discover the transformative societal changes that could arise.This episode is brought to you by AWS Inferentia, by the AWS Insiders Podcast, and by Modelbit, for deploying models in seconds. Interest...</itunes:subtitle>
      <itunes:summary>AI visionary and CEO of SingularityNET Dr. Ben Goertzel provides a deep dive into the possible realization of Artificial General Intelligence (AGI) within 3-7 years. Explore the intriguing connections between self-awareness, consciousness, and the future of Artificial Super Intelligence (ASI) and discover the transformative societal changes that could arise.This episode is brought to you by AWS Inferentia, by the AWS Insiders Podcast, and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Decentralized and benevolent AGI [03:13] • The SingularityNET ecosystem [13:10]• Dr. Goertzel's vision for realizing AGI - combining DL with neuro-symbolic systems, genetic algorithms and knowledge graphs [25:50]• How reaching AGI will trigger Artificial Super Intelligence [38:51]• Dr. Goertzel's approach to AGI using OpenCog Hyperon [42:34]• Why Dr. Goertzel believes AGI will be positive for humankind [53:07]• How to ensure the AGI is benevolent [1:06:43]• How AGI or ASI may act ethically [1:13:50]Additional materials: www.superdatascience.com/697</itunes:summary>
      <content:encoded>
        <![CDATA[<p>AI visionary and CEO of SingularityNET Dr. Ben Goertzel provides a deep dive into the possible realization of Artificial General Intelligence (AGI) within 3-7 years. Explore the intriguing connections between self-awareness, consciousness, and the future of Artificial Super Intelligence (ASI) and discover the transformative societal changes that could arise.<br><br>This episode is brought to you by <a href="https://go.aws/3zWS0au">AWS Inferentia</a>, by the <a href="https://pod.link/1608453414">AWS Insiders Podcast</a>, and by <a href="https://modelbit.com/">Modelbit</a>, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Decentralized and benevolent AGI [03:13]<br> • The SingularityNET ecosystem [13:10]<br>• Dr. Goertzel's vision for realizing AGI - combining DL with neuro-symbolic systems, genetic algorithms and knowledge graphs [25:50]<br>• How reaching AGI will trigger Artificial Super Intelligence [38:51]<br>• Dr. Goertzel's approach to AGI using OpenCog Hyperon [42:34]<br>• Why Dr. Goertzel believes AGI will be positive for humankind [53:07]<br>• How to ensure the AGI is benevolent [1:06:43]<br>• How AGI or ASI may act ethically [1:13:50]<br><br>Additional materials: <a href="https://www.superdatascience.com/697">www.superdatascience.com/697</a></p>]]>
      </content:encoded>
      <itunes:duration>5232</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7704427921.mp3?updated=1716819029" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>696: Brain-Computer Interfaces and Neural Decoding, with Prof. Bob Knight</title>
      <description>Jon Krohn welcomes Professor Dr. Bob Knight to explore human intelligence, the prefrontal cortex, and the transformative potential of brain implants for data collection. Discover the pivotal role of machine learning in treating Parkinson's and delve into exciting future advancements.Additional materials: www.superdatascience.com/696Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 14 Jul 2023 11:00:00 -0000</pubDate>
      <itunes:title>696: Brain-Computer Interfaces and Neural Decoding, with Prof. Bob Knight</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2cde92dc-1c32-11ef-9765-affd1aaa986f/image/75c740597fd1128371ebeb309f93e73f.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn welcomes Professor Dr. Bob Knight to explore human intelligence, the prefrontal cortex, and the transformative potential of brain implants for data collection. Discover the pivotal role of machine learning in treating Parkinson's and delve into exciting future advancements.Additional materials: www.superdatascience.com/696Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Jon Krohn welcomes Professor Dr. Bob Knight to explore human intelligence, the prefrontal cortex, and the transformative potential of brain implants for data collection. Discover the pivotal role of machine learning in treating Parkinson's and delve into exciting future advancements.Additional materials: www.superdatascience.com/696Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn welcomes Professor Dr. Bob Knight to explore human intelligence, the prefrontal cortex, and the transformative potential of brain implants for data collection. Discover the pivotal role of machine learning in treating Parkinson's and delve into exciting future advancements.<br><br>Additional materials: <a href="https://www.superdatascience.com/696">www.superdatascience.com/696</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>3765</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>695: NLP with Transformers, feat. Hugging Face's Lewis Tunstall</title>
      <description>What are transformers in AI, and how do they help developers to run LLMs efficiently and accurately? This is a key question in this week’s episode, where Hugging Face’s ML Engineer Lewis Tunstall sits down with host Jon Krohn to discuss encoders and decoders, and the importance of continuing to foster democratic environments like GitHub for creating open-source models.This episode is brought to you by the AWS Insiders Podcast, by WithFeeling.ai, the company bringing humanity into AI, and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What a transformer is, and why it is so important for NLP [04:34]• Different types of transformers and how they vary [11:39]• Why it’s necessary to know how a transformer works [31:52]• Hugging Face’s role in the application of transformers [57:10]• Lewis Tunstall’s experience of working at Hugging Face [1:02:08]• How and where to start with Hugging Face libraries [1:18:27]• The necessity to democratize ML models in the future [1:25:25]Additional materials: www.superdatascience.com/695</description>
      <pubDate>Tue, 11 Jul 2023 11:00:00 -0000</pubDate>
      <itunes:title>695: NLP with Transformers, feat. Hugging Face's Lewis Tunstall</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2d4e1486-1c32-11ef-9765-578317e3f474/image/6541fcf4fbfbf347808dba1ea4c33d22.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What are transformers in AI, and how do they help developers to run LLMs efficiently and accurately? This is a key question in this week’s episode, where Hugging Face’s ML Engineer Lewis Tunstall sits down with host Jon Krohn to discuss encoders and decoders, and the importance of continuing to foster democratic environments like GitHub for creating open-source models.This episode is brought to you by the AWS Insiders Podcast, by WithFeeling.ai, the company bringing humanity into AI, and by M...</itunes:subtitle>
      <itunes:summary>What are transformers in AI, and how do they help developers to run LLMs efficiently and accurately? This is a key question in this week’s episode, where Hugging Face’s ML Engineer Lewis Tunstall sits down with host Jon Krohn to discuss encoders and decoders, and the importance of continuing to foster democratic environments like GitHub for creating open-source models.This episode is brought to you by the AWS Insiders Podcast, by WithFeeling.ai, the company bringing humanity into AI, and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What a transformer is, and why it is so important for NLP [04:34]• Different types of transformers and how they vary [11:39]• Why it’s necessary to know how a transformer works [31:52]• Hugging Face’s role in the application of transformers [57:10]• Lewis Tunstall’s experience of working at Hugging Face [1:02:08]• How and where to start with Hugging Face libraries [1:18:27]• The necessity to democratize ML models in the future [1:25:25]Additional materials: www.superdatascience.com/695</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What are transformers in AI, and how do they help developers to run LLMs efficiently and accurately? This is a key question in this week’s episode, where Hugging Face’s ML Engineer Lewis Tunstall sits down with host Jon Krohn to discuss encoders and decoders, and the importance of continuing to foster democratic environments like GitHub for creating open-source models.<br><br>This episode is brought to you by the <a href="https://pod.link/1608453414">AWS Insiders Podcast</a>, by <a href="https://withfeeling.ai/">WithFeeling.ai</a>, the company bringing humanity into AI, and by <a href="https://modelbit.com/">Modelbit</a>, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• What a transformer is, and why it is so important for NLP [04:34]<br>• Different types of transformers and how they vary [11:39]<br>• Why it’s necessary to know how a transformer works [31:52]<br>• Hugging Face’s role in the application of transformers [57:10]<br>• Lewis Tunstall’s experience of working at Hugging Face [1:02:08]<br>• How and where to start with Hugging Face libraries [1:18:27]<br>• The necessity to democratize ML models in the future [1:25:25]<br><br>Additional materials: <a href="https://www.superdatascience.com/695">www.superdatascience.com/695</a></p>]]>
      </content:encoded>
      <itunes:duration>5884</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3704600568.mp3?updated=1716819044" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>694: CatBoost: Powerful, efficient ML for large tabular datasets</title>
      <description>Modeling tabular data and spreadsheets doesn’t have to be tedious with CatBoost’s open-source tree-boosting algorithm. CatBoost does what it says on the tin, blending categories with boosting that allows you to train your models faster and handle large datasets for ML tasks across multiple GPUs. In this week’s Five-Minute Friday, host Jon Krohn gets to grips with the technical components of CatBoost that give it the speed and accuracy so acclaimed by its users.Additional materials: www.superdatascience.com/694Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 07 Jul 2023 11:00:00 -0000</pubDate>
      <itunes:title>694: CatBoost: Powerful, efficient ML for large tabular datasets</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3595825a-1c32-11ef-9765-5f3cc5df28f1/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Modeling tabular data and spreadsheets doesn’t have to be tedious with CatBoost’s open-source tree-boosting algorithm. CatBoost does what it says on the tin, blending categories with boosting that allows you to train your models faster and handle large datasets for ML tasks across multiple GPUs. In this week’s Five-Minute Friday, host Jon Krohn gets to grips with the technical components of CatBoost that give it the speed and accuracy so acclaimed by its users.Additional materials: www.superd...</itunes:subtitle>
      <itunes:summary>Modeling tabular data and spreadsheets doesn’t have to be tedious with CatBoost’s open-source tree-boosting algorithm. CatBoost does what it says on the tin, blending categories with boosting that allows you to train your models faster and handle large datasets for ML tasks across multiple GPUs. In this week’s Five-Minute Friday, host Jon Krohn gets to grips with the technical components of CatBoost that give it the speed and accuracy so acclaimed by its users.Additional materials: www.superdatascience.com/694Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Modeling tabular data and spreadsheets doesn’t have to be tedious with CatBoost’s open-source tree-boosting algorithm. CatBoost does what it says on the tin, blending categories with boosting that allows you to train your models faster and handle large datasets for ML tasks across multiple GPUs. In this week’s Five-Minute Friday, host Jon Krohn gets to grips with the technical components of CatBoost that give it the speed and accuracy so acclaimed by its users.<br><br>Additional materials: <a href="https://www.superdatascience.com/694">www.superdatascience.com/694</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>479</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>693: YOLO-NAS: The State of the Art in Machine Vision, with Harpreet Sahota</title>
      <description>Harpreet Sahota, a data science expert and deep learning developer at Deci AI, joins Jon Krohn to explore the fascinating realm of object detection and the revolutionary YOLO-NAS model architecture. Discover how machine vision models have evolved and the techniques driving compute-efficient edge device applications..This episode is brought to you by AWS Inferentia, by WithFeeling.ai, the company bringing humanity into AI, and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What is machine vision? [07:02]• Object detection and YOLO architectures [13:00]• Deci's YOLO-NAS: Optimal object detection model architecture [23:39]• Developer Relations [1:00:16]• Harpreet's 'top-down' approach to learning Deep Learning [1:06:50]Additional materials: www.superdatascience.com/693</description>
      <pubDate>Tue, 04 Jul 2023 11:00:00 -0000</pubDate>
      <itunes:title>693: YOLO-NAS: The State of the Art in Machine Vision, with Harpreet Sahota</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3864b654-1c32-11ef-9765-9fcf649dfb0a/image/e1b24bea0c019c3ab8731e8d034ed82c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Harpreet Sahota, a data science expert and deep learning developer at Deci AI, joins Jon Krohn to explore the fascinating realm of object detection and the revolutionary YOLO-NAS model architecture. Discover how machine vision models have evolved and the techniques driving compute-efficient edge device applications..This episode is brought to you by AWS Inferentia, by WithFeeling.ai, the company bringing humanity into AI, and by Modelbit, for deploying models in seconds. Interested in sponsor...</itunes:subtitle>
      <itunes:summary>Harpreet Sahota, a data science expert and deep learning developer at Deci AI, joins Jon Krohn to explore the fascinating realm of object detection and the revolutionary YOLO-NAS model architecture. Discover how machine vision models have evolved and the techniques driving compute-efficient edge device applications..This episode is brought to you by AWS Inferentia, by WithFeeling.ai, the company bringing humanity into AI, and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What is machine vision? [07:02]• Object detection and YOLO architectures [13:00]• Deci's YOLO-NAS: Optimal object detection model architecture [23:39]• Developer Relations [1:00:16]• Harpreet's 'top-down' approach to learning Deep Learning [1:06:50]Additional materials: www.superdatascience.com/693</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Harpreet Sahota, a data science expert and deep learning developer at Deci AI, joins Jon Krohn to explore the fascinating realm of object detection and the revolutionary YOLO-NAS model architecture. Discover how machine vision models have evolved and the techniques driving compute-efficient edge device applications..<br><br>This episode is brought to you by <a href="https://go.aws/3zWS0au">AWS Inferentia</a>, by <a href="https://WithFeeling.ai">WithFeeling.ai</a>, the company bringing humanity into AI, and by <a href="https://modelbit.com">Modelbit</a>, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://JonKrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• What is machine vision? [07:02]<br>• Object detection and YOLO architectures [13:00]<br>• Deci's YOLO-NAS: Optimal object detection model architecture [23:39]<br>• Developer Relations [1:00:16]<br>• Harpreet's 'top-down' approach to learning Deep Learning [1:06:50]<br><br>Additional materials: <a href="https://www.superdatascience.com/693">www.superdatascience.com/693</a></p>]]>
      </content:encoded>
      <itunes:duration>4815</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>692: Lossless LLM Weight Compression: Run Huge Models on a Single GPU</title>
      <description>Join Jon as he navigates listeners through the innovative SpQR approach—a cutting-edge, lossless LLM weight compression technique that harnesses the power of quantization. Tune in as Jon delves into the four steps behind this groundbreaking method in this week's episode.Additional materials: www.superdatascience.com/692Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 30 Jun 2023 11:00:00 -0000</pubDate>
      <itunes:title>692: Lossless LLM Weight Compression: Run Huge Models on a Single GPU</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3aecbe9e-1c32-11ef-9765-b74cb75a706e/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Join Jon as he navigates listeners through the innovative SpQR approach—a cutting-edge, lossless LLM weight compression technique that harnesses the power of quantization. Tune in as Jon delves into the four steps behind this groundbreaking method in this week's episode.Additional materials: www.superdatascience.com/692Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Join Jon as he navigates listeners through the innovative SpQR approach—a cutting-edge, lossless LLM weight compression technique that harnesses the power of quantization. Tune in as Jon delves into the four steps behind this groundbreaking method in this week's episode.Additional materials: www.superdatascience.com/692Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Join Jon as he navigates listeners through the innovative SpQR approach—a cutting-edge, lossless LLM weight compression technique that harnesses the power of quantization. Tune in as Jon delves into the four steps behind this groundbreaking method in this week's episode.<br><br>Additional materials: <a href="https://www.superdatascience.com/692">www.superdatascience.com/692</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>459</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>691: A.I. Accelerators: Hardware Specialized for Deep Learning</title>
      <description>GPUs vs CPUs, chip design and the importance of chips in AI research: This highly technical episode is for anyone who wants to learn what goes into chip development and how to get into the competitive industry of accelerator design. With advice from expert guest Ron Diamant, Senior Principal Engineer at AWS, you’ll get a breakdown of the need-to-know technical terms, what chip engineers need to think about during the design phase and what the future holds for processing hardware.This episode is brought to you by Posit, the open-source data science company, by the AWS Insiders Podcast, and by WithFeeling.ai, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What CPUs and GPUs are [05:29]• The differences between accelerators used for deep learning [14:31]• Trainium and Inferentia: AWS's A.I. Accelerators [22:10]• If model optimizations will lead to lower demand for hardware to process them [43:14]• How a chip designer goes about production [48:34]• Breaking down the technical terminology for chips (accelerator interconnect, dynamic execution, collective communications) [55:29]• The importance of AWS Neuron, a software development kit [1:15:42]• How Ron got his foot in the door with chip design [1:26:40]Additional materials: www.superdatascience.com/691</description>
      <pubDate>Tue, 27 Jun 2023 11:00:00 -0000</pubDate>
      <itunes:title>691: A.I. Accelerators: Hardware Specialized for Deep Learning</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/42c63f28-1c32-11ef-9765-7757760aaf80/image/4bbd87ae8ad9e74152f332c8bf0cf3bb.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>GPUs vs CPUs, chip design and the importance of chips in AI research: This highly technical episode is for anyone who wants to learn what goes into chip development and how to get into the competitive industry of accelerator design. With advice from expert guest Ron Diamant, Senior Principal Engineer at AWS, you’ll get a breakdown of the need-to-know technical terms, what chip engineers need to think about during the design phase and what the future holds for processing hardware.This episode ...</itunes:subtitle>
      <itunes:summary>GPUs vs CPUs, chip design and the importance of chips in AI research: This highly technical episode is for anyone who wants to learn what goes into chip development and how to get into the competitive industry of accelerator design. With advice from expert guest Ron Diamant, Senior Principal Engineer at AWS, you’ll get a breakdown of the need-to-know technical terms, what chip engineers need to think about during the design phase and what the future holds for processing hardware.This episode is brought to you by Posit, the open-source data science company, by the AWS Insiders Podcast, and by WithFeeling.ai, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What CPUs and GPUs are [05:29]• The differences between accelerators used for deep learning [14:31]• Trainium and Inferentia: AWS's A.I. Accelerators [22:10]• If model optimizations will lead to lower demand for hardware to process them [43:14]• How a chip designer goes about production [48:34]• Breaking down the technical terminology for chips (accelerator interconnect, dynamic execution, collective communications) [55:29]• The importance of AWS Neuron, a software development kit [1:15:42]• How Ron got his foot in the door with chip design [1:26:40]Additional materials: www.superdatascience.com/691</itunes:summary>
      <content:encoded>
        <![CDATA[<p>GPUs vs CPUs, chip design and the importance of chips in AI research: This highly technical episode is for anyone who wants to learn what goes into chip development and how to get into the competitive industry of accelerator design. With advice from expert guest Ron Diamant, Senior Principal Engineer at AWS, you’ll get a breakdown of the need-to-know technical terms, what chip engineers need to think about during the design phase and what the future holds for processing hardware.<br><br>This episode is brought to you by <a href="https://posit.co">Posit</a>, the open-source data science company, by the <a href="https://pod.link/1608453414">AWS Insiders Podcast</a>, and by <a href="https://WithFeeling.ai">WithFeeling.ai</a>, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://JonKrohn.com/podcast%20">JonKrohn.com/podcast </a>for sponsorship information.<br><br>In this episode you will learn:<br>• What CPUs and GPUs are [05:29]<br>• The differences between accelerators used for deep learning [14:31]<br>• Trainium and Inferentia: AWS's A.I. Accelerators [22:10]<br>• If model optimizations will lead to lower demand for hardware to process them [43:14]<br>• How a chip designer goes about production [48:34]<br>• Breaking down the technical terminology for chips (accelerator interconnect, dynamic execution, collective communications) [55:29]<br>• The importance of AWS Neuron, a software development kit [1:15:42]<br>• How Ron got his foot in the door with chip design [1:26:40]<br><br>Additional materials: <a href="https://www.superdatascience.com/691">www.superdatascience.com/691</a></p>]]>
      </content:encoded>
      <itunes:duration>5674</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>690: How to Catch and Fix Harmful Generative A.I. Outputs</title>
      <description>Krishna Gade, the founder and CEO of Fiddler.AI, discusses the challenges faced by Large Language Models (LLMs) in Generative AI, including inaccuracies, biases, and privacy risks. He emphasizes the importance of monitoring to build trust in AI and highlights Fiddler's explainability algorithms and pre-built bias detection tools as vital solutions.Additional materials: www.superdatascience.com/690Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 23 Jun 2023 11:00:00 -0000</pubDate>
      <itunes:title>690: How to Catch and Fix Harmful Generative A.I. Outputs</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/434485f4-1c32-11ef-9765-174abd517d86/image/08a265321f8d8dab35e5f3c13c71d4da.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Krishna Gade, the founder and CEO of Fiddler.AI, discusses the challenges faced by Large Language Models (LLMs) in Generative AI, including inaccuracies, biases, and privacy risks. He emphasizes the importance of monitoring to build trust in AI and highlights Fiddler's explainability algorithms and pre-built bias detection tools as vital solutions.Additional materials: www.superdatascience.com/690Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for spons...</itunes:subtitle>
      <itunes:summary>Krishna Gade, the founder and CEO of Fiddler.AI, discusses the challenges faced by Large Language Models (LLMs) in Generative AI, including inaccuracies, biases, and privacy risks. He emphasizes the importance of monitoring to build trust in AI and highlights Fiddler's explainability algorithms and pre-built bias detection tools as vital solutions.Additional materials: www.superdatascience.com/690Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Krishna Gade, the founder and CEO of Fiddler.AI, discusses the challenges faced by Large Language Models (LLMs) in Generative AI, including inaccuracies, biases, and privacy risks. He emphasizes the importance of monitoring to build trust in AI and highlights Fiddler's explainability algorithms and pre-built bias detection tools as vital solutions.<br><br>Additional materials: <a href="https://www.superdatascience.com/690">www.superdatascience.com/690</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1574</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3384473776.mp3?updated=1716819070" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>689: Observing LLMs in Production to Automatically Catch Issues</title>
      <description>Arize's Amber Roberts and Xander Song join Jon Krohn this week, sharing invaluable insights into ML Observability, drift detection, retraining strategies, and the crucial task of ensuring fairness and ethical considerations in AI development.This episode is brought to you by Posit, the open-source data science company, by AWS Inferentia, and by Anaconda, the world's most popular Python distribution. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What is ML Observability [05:07]• What is Drift [08:18]• The different kinds of model drift [15:31]• How frequently production models should be retrained? [25:15]• Arize's open-source product, Phoenix [30:49]• How ML Observability relates to discovering model biases [50:30]• Arize case studies [57:13]• What is a developer advocate [1:04:51]Additional materials: www.superdatascience.com/689</description>
      <pubDate>Tue, 20 Jun 2023 11:00:00 -0000</pubDate>
      <itunes:title>689: Observing LLMs in Production to Automatically Catch Issues</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/44ee182a-1c32-11ef-9765-ebe5888b12eb/image/d2ba4e27df2f0527c0f21dd57e869931.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Arize's Amber Roberts and Xander Song join Jon Krohn this week, sharing invaluable insights into ML Observability, drift detection, retraining strategies, and the crucial task of ensuring fairness and ethical considerations in AI development.This episode is brought to you by Posit, the open-source data science company, by AWS Inferentia, and by Anaconda, the world's most popular Python distribution. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sp...</itunes:subtitle>
      <itunes:summary>Arize's Amber Roberts and Xander Song join Jon Krohn this week, sharing invaluable insights into ML Observability, drift detection, retraining strategies, and the crucial task of ensuring fairness and ethical considerations in AI development.This episode is brought to you by Posit, the open-source data science company, by AWS Inferentia, and by Anaconda, the world's most popular Python distribution. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What is ML Observability [05:07]• What is Drift [08:18]• The different kinds of model drift [15:31]• How frequently production models should be retrained? [25:15]• Arize's open-source product, Phoenix [30:49]• How ML Observability relates to discovering model biases [50:30]• Arize case studies [57:13]• What is a developer advocate [1:04:51]Additional materials: www.superdatascience.com/689</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Arize's Amber Roberts and Xander Song join Jon Krohn this week, sharing invaluable insights into ML Observability, drift detection, retraining strategies, and the crucial task of ensuring fairness and ethical considerations in AI development.<br><br>This episode is brought to you by <a href="https://posit.co/">Posit</a>, the open-source data science company, by <a href="https://go.aws/3zWS0au">AWS Inferentia</a>, and by <a href="https://superdatascience.com/anaconda">Anaconda</a>, the world's most popular Python distribution. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• What is ML Observability [05:07]<br>• What is Drift [08:18]<br>• The different kinds of model drift [15:31]<br>• How frequently production models should be retrained? [25:15]<br>• Arize's open-source product, Phoenix [30:49]<br>• How ML Observability relates to discovering model biases [50:30]<br>• Arize case studies [57:13]<br>• What is a developer advocate [1:04:51]<br><br>Additional materials: <a href="https://www.superdatascience.com/689">www.superdatascience.com/689</a></p>]]>
      </content:encoded>
      <itunes:duration>4681</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>688: Six Reasons Why Building LLM Products Is Tricky</title>
      <description>Prompt injection, prompt engineering, context windows, and more: In this week’s Five-Minute Friday, Jon explains why anyone looking to build their own product leveraging LLMs should stop to consider these and three more issues before jumping in. Phillip Carter first outlined these six issues in his article “All the Hard Stuff Nobody Talks About when Building Products with LLMs”.Additional materials: www.superdatascience.com/688Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 16 Jun 2023 11:00:00 -0000</pubDate>
      <itunes:title>688: Six Reasons Why Building LLM Products Is Tricky</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/45894598-1c32-11ef-9765-8fdca160115b/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Prompt injection, prompt engineering, context windows, and more: In this week’s Five-Minute Friday, Jon explains why anyone looking to build their own product leveraging LLMs should stop to consider these and three more issues before jumping in. Phillip Carter first outlined these six issues in his article “All the Hard Stuff Nobody Talks About when Building Products with LLMs”.Additional materials: www.superdatascience.com/688Interested in sponsoring a SuperDataScience Podcast episode? Visit...</itunes:subtitle>
      <itunes:summary>Prompt injection, prompt engineering, context windows, and more: In this week’s Five-Minute Friday, Jon explains why anyone looking to build their own product leveraging LLMs should stop to consider these and three more issues before jumping in. Phillip Carter first outlined these six issues in his article “All the Hard Stuff Nobody Talks About when Building Products with LLMs”.Additional materials: www.superdatascience.com/688Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Prompt injection, prompt engineering, context windows, and more: In this week’s Five-Minute Friday, Jon explains why anyone looking to build their own product leveraging LLMs should stop to consider these and three more issues before jumping in. Phillip Carter first outlined these six issues in his article “All the Hard Stuff Nobody Talks About when Building Products with LLMs”.<br><br>Additional materials: <a href="https://www.superdatascience.com/688">www.superdatascience.com/688</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://JonKrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>850</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3419804762.mp3?updated=1716819076" length="0" type="audio/mpeg"/>
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    <item>
      <title>687: Generative Deep Learning, with David Foster</title>
      <description>Autoencoders, transformers, latent space: Learn the elements of generative AI and hear what data scientist David Foster has to say about the potential for generative AI in music, as well as the role that world models play in blending generative AI with reinforcement learning.This episode is brought to you by Posit, the open-source data science company, by Anaconda, the world's most popular Python distribution, and by WithFeeling.ai, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Generative modeling vs discriminative modeling [04:21]• Generative AI for Music [13:12]• On the threats of AI [23:15]• Autoencoders Explained [38:36]• Noise in Generative AI [48:11]• What CLIP models are (Contrastive Language-Image Pre-training) [54:07]• What World Models are [1:00:40]• What a Transformer is [1:11:14]• How to use transformers for music generation [1:19:50]Additional materials: www.superdatascience.com/687</description>
      <pubDate>Tue, 13 Jun 2023 11:00:00 -0000</pubDate>
      <itunes:title>687: Generative Deep Learning, with David Foster</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/46d8d9f4-1c32-11ef-9765-8f4760d76d13/image/b58bdcb0e00532074afac559ff31e1e2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Autoencoders, transformers, latent space: Learn the elements of generative AI and hear what data scientist David Foster has to say about the potential for generative AI in music, as well as the role that world models play in blending generative AI with reinforcement learning.This episode is brought to you by Posit, the open-source data science company, by Anaconda, the world's most popular Python distribution, and by WithFeeling.ai, the company bringing humanity into AI. Interested in sponsor...</itunes:subtitle>
      <itunes:summary>Autoencoders, transformers, latent space: Learn the elements of generative AI and hear what data scientist David Foster has to say about the potential for generative AI in music, as well as the role that world models play in blending generative AI with reinforcement learning.This episode is brought to you by Posit, the open-source data science company, by Anaconda, the world's most popular Python distribution, and by WithFeeling.ai, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Generative modeling vs discriminative modeling [04:21]• Generative AI for Music [13:12]• On the threats of AI [23:15]• Autoencoders Explained [38:36]• Noise in Generative AI [48:11]• What CLIP models are (Contrastive Language-Image Pre-training) [54:07]• What World Models are [1:00:40]• What a Transformer is [1:11:14]• How to use transformers for music generation [1:19:50]Additional materials: www.superdatascience.com/687</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Autoencoders, transformers, latent space: Learn the elements of generative AI and hear what data scientist David Foster has to say about the potential for generative AI in music, as well as the role that world models play in blending generative AI with reinforcement learning.<br><br>This episode is brought to you by <a href="https://posit.co/">Posit</a>, the open-source data science company, by <a href="https://superdatascience.com/anaconda">Anaconda</a>, the world's most popular Python distribution, and by <a href="https://withfeeling.ai/">WithFeeling.ai</a>, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Generative modeling vs discriminative modeling [04:21]<br>• Generative AI for Music [13:12]<br>• On the threats of AI [23:15]<br>• Autoencoders Explained [38:36]<br>• Noise in Generative AI [48:11]<br>• What CLIP models are (Contrastive Language-Image Pre-training) [54:07]<br>• What World Models are [1:00:40]<br>• What a Transformer is [1:11:14]<br>• How to use transformers for music generation [1:19:50]<br><br>Additional materials: <a href="https://www.superdatascience.com/687">www.superdatascience.com/687</a></p>]]>
      </content:encoded>
      <itunes:duration>6393</itunes:duration>
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    </item>
    <item>
      <title>686: Open-Source "Responsible A.I." Tools, with Ruth Yakubu</title>
      <description>Mircosoft’s Ruth Yakubu joins Jon Krohn to discuss Responsible AI principles and the open-source Responsible AI Toolbox, allowing users to assess their models for fairness, inclusiveness, privacy, explainability, accountability, and reliability before deployment.Additional materials: www.superdatascience.com/686Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 09 Jun 2023 11:00:00 -0000</pubDate>
      <itunes:title>686: Open-Source "Responsible A.I." Tools, with Ruth Yakubu</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4903afa6-1c32-11ef-9765-2ff008c587b4/image/f90ac7f326e13385878999211113bacc.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Mircosoft’s Ruth Yakubu joins Jon Krohn to discuss Responsible AI principles and the open-source Responsible AI Toolbox, allowing users to assess their models for fairness, inclusiveness, privacy, explainability, accountability, and reliability before deployment.Additional materials: www.superdatascience.com/686Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Mircosoft’s Ruth Yakubu joins Jon Krohn to discuss Responsible AI principles and the open-source Responsible AI Toolbox, allowing users to assess their models for fairness, inclusiveness, privacy, explainability, accountability, and reliability before deployment.Additional materials: www.superdatascience.com/686Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Mircosoft’s Ruth Yakubu joins Jon Krohn to discuss Responsible AI principles and the open-source Responsible AI Toolbox, allowing users to assess their models for fairness, inclusiveness, privacy, explainability, accountability, and reliability before deployment.<br><br>Additional materials: <a href="https://www.superdatascience.com/686">www.superdatascience.com/686</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1798</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>685: Tools for Building Real-Time Machine Learning Applications, with Richmond Alake</title>
      <description>Richmond Alake, a Machine Learning Architect at Slalom Build, sits down with Jon to share real-time ML insights, tools and career experiences for a high-energy and high impact episode. From his work at Slalom Build to his two AI startups, discover the software choices, ML tools, and front-end development techniques used by a leader in the field.This episode is brought to you by Posit, the open-source data science company, by AWS Inferentia, and by WithFeeling.ai, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What is a Machine Learning Architect? [03:09]• Richmond's startups [12:07]• Why Richmond started a podcast [29:51]• Richmond's new course on feature stores [38:05]• Why Richmond produces data science content [43:25]• Why All Data Scientists Should Write [51:30]Additional materials: www.superdatascience.com/685</description>
      <pubDate>Tue, 06 Jun 2023 11:00:00 -0000</pubDate>
      <itunes:title>685: Tools for Building Real-Time Machine Learning Applications, with Richmond Alake</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/498b7f80-1c32-11ef-9765-af5639f387a1/image/5b3d6896c91301432490c60d53748cf9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Richmond Alake, a Machine Learning Architect at Slalom Build, sits down with Jon to share real-time ML insights, tools and career experiences for a high-energy and high impact episode. From his work at Slalom Build to his two AI startups, discover the software choices, ML tools, and front-end development techniques used by a leader in the field.This episode is brought to you by Posit, the open-source data science company, by AWS Inferentia, and by WithFeeling.ai, the company bringing humanity...</itunes:subtitle>
      <itunes:summary>Richmond Alake, a Machine Learning Architect at Slalom Build, sits down with Jon to share real-time ML insights, tools and career experiences for a high-energy and high impact episode. From his work at Slalom Build to his two AI startups, discover the software choices, ML tools, and front-end development techniques used by a leader in the field.This episode is brought to you by Posit, the open-source data science company, by AWS Inferentia, and by WithFeeling.ai, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What is a Machine Learning Architect? [03:09]• Richmond's startups [12:07]• Why Richmond started a podcast [29:51]• Richmond's new course on feature stores [38:05]• Why Richmond produces data science content [43:25]• Why All Data Scientists Should Write [51:30]Additional materials: www.superdatascience.com/685</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Richmond Alake, a Machine Learning Architect at Slalom Build, sits down with Jon to share real-time ML insights, tools and career experiences for a high-energy and high impact episode. From his work at Slalom Build to his two AI startups, discover the software choices, ML tools, and front-end development techniques used by a leader in the field.<br><br>This episode is brought to you by <a href="https://posit.co/">Posit</a>, the open-source data science company, by <a href="https://go.aws/3zWS0au">AWS Inferentia</a>, and by <a href="https://withfeeling.ai/">WithFeeling.ai</a>, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• What is a Machine Learning Architect? [03:09]<br>• Richmond's startups [12:07]<br>• Why Richmond started a podcast [29:51]<br>• Richmond's new course on feature stores [38:05]<br>• Why Richmond produces data science content [43:25]<br>• Why All Data Scientists Should Write [51:30]<br><br>Additional materials: <a href="https://www.superdatascience.com/685">www.superdatascience.com/685</a></p>]]>
      </content:encoded>
      <itunes:duration>3979</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    <item>
      <title>684: Get More Language Context out of your LLM</title>
      <description>Open-source LLMs, FlashAttention and generative AI terminology: Host Jon Krohn gives us the lift we need to explore the next big steps in generative AI. Listen to the specific way in which Stanford University’s “exact attention” algorithm, FlashAttention, could become a competitor for GPT-4’s capabilities.Additional materials: www.superdatascience.com/684Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 02 Jun 2023 11:00:00 -0000</pubDate>
      <itunes:title>684: Get More Language Context out of your LLM</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4a00685e-1c32-11ef-9765-fb62e828649f/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Open-source LLMs, FlashAttention and generative AI terminology: Host Jon Krohn gives us the lift we need to explore the next big steps in generative AI. Listen to the specific way in which Stanford University’s “exact attention” algorithm, FlashAttention, could become a competitor for GPT-4’s capabilities.Additional materials: www.superdatascience.com/684Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Open-source LLMs, FlashAttention and generative AI terminology: Host Jon Krohn gives us the lift we need to explore the next big steps in generative AI. Listen to the specific way in which Stanford University’s “exact attention” algorithm, FlashAttention, could become a competitor for GPT-4’s capabilities.Additional materials: www.superdatascience.com/684Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Open-source LLMs, FlashAttention and generative AI terminology: Host Jon Krohn gives us the lift we need to explore the next big steps in generative AI. Listen to the specific way in which Stanford University’s “exact attention” algorithm, FlashAttention, could become a competitor for GPT-4’s capabilities.<br><br>Additional materials: <a href="https://www.superdatascience.com/684">www.superdatascience.com/684</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>349</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    <item>
      <title>683: Contextual A.I. for Adapting to Adversaries, with Dr. Matar Haller</title>
      <description>Monitoring malicious, user-generated content; contextual AI; adapting to novel evasion attempts: Matar Haller speaks to Jon Krohn about the challenges of identifying, analyzing and flagging malicious information online. In this episode, Matar explains how contextual AI and a “database of evil” can help resolve the multiple challenges of blocking dangerous content across a range of media, even those that are live-streamed.This episode is brought to you by Posit, the open-source data science company, by Anaconda, the world's most popular Python distribution, and by WithFeeling.ai, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• How ActiveFence helps its customers to moderate platform content [05:36]• How ActiveFence finds extreme social media users trying to evade detection [16:32]• How to monitor live-streaming content and analyze it for dangerous material [29:13]• The technologies ActiveFence uses to run its platform [35:54]• Matar’s experience of the Insight Fellows Program (Data Science Fellowship) [40:28]• Leadership opportunities for women in STEM [1:00:41]• Israel’s R&amp;D edge for AI [1:13:19]Additional materials: www.superdatascience.com/683</description>
      <pubDate>Tue, 30 May 2023 11:00:00 -0000</pubDate>
      <itunes:title>683: Contextual A.I. for Adapting to Adversaries, with Dr. Matar Haller</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4a7023c4-1c32-11ef-9765-939b299006c5/image/a0bfd1e3f577b3b83f097588af00b228.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Monitoring malicious, user-generated content; contextual AI; adapting to novel evasion attempts: Matar Haller speaks to Jon Krohn about the challenges of identifying, analyzing and flagging malicious information online. In this episode, Matar explains how contextual AI and a “database of evil” can help resolve the multiple challenges of blocking dangerous content across a range of media, even those that are live-streamed.This episode is brought to you by Posit, the open-source data science co...</itunes:subtitle>
      <itunes:summary>Monitoring malicious, user-generated content; contextual AI; adapting to novel evasion attempts: Matar Haller speaks to Jon Krohn about the challenges of identifying, analyzing and flagging malicious information online. In this episode, Matar explains how contextual AI and a “database of evil” can help resolve the multiple challenges of blocking dangerous content across a range of media, even those that are live-streamed.This episode is brought to you by Posit, the open-source data science company, by Anaconda, the world's most popular Python distribution, and by WithFeeling.ai, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• How ActiveFence helps its customers to moderate platform content [05:36]• How ActiveFence finds extreme social media users trying to evade detection [16:32]• How to monitor live-streaming content and analyze it for dangerous material [29:13]• The technologies ActiveFence uses to run its platform [35:54]• Matar’s experience of the Insight Fellows Program (Data Science Fellowship) [40:28]• Leadership opportunities for women in STEM [1:00:41]• Israel’s R&amp;D edge for AI [1:13:19]Additional materials: www.superdatascience.com/683</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Monitoring malicious, user-generated content; contextual AI; adapting to novel evasion attempts: Matar Haller speaks to Jon Krohn about the challenges of identifying, analyzing and flagging malicious information online. In this episode, Matar explains how contextual AI and a “database of evil” can help resolve the multiple challenges of blocking dangerous content across a range of media, even those that are live-streamed.<br><br>This episode is brought to you by <a href="https://posit.co/">Posit</a>, the open-source data science company, by <a href="https://superdatascience.com/anaconda">Anaconda</a>, the world's most popular Python distribution, and by <a href="https://WithFeeling.ai">WithFeeling.ai</a>, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• How ActiveFence helps its customers to moderate platform content [05:36]<br>• How ActiveFence finds extreme social media users trying to evade detection [16:32]<br>• How to monitor live-streaming content and analyze it for dangerous material [29:13]<br>• The technologies ActiveFence uses to run its platform [35:54]<br>• Matar’s experience of the Insight Fellows Program (Data Science Fellowship) [40:28]<br>• Leadership opportunities for women in STEM [1:00:41]<br>• Israel’s R&amp;D edge for AI [1:13:19]<br><br>Additional materials: <a href="https://www.superdatascience.com/683">www.superdatascience.com/683</a></p>]]>
      </content:encoded>
      <itunes:duration>4835</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>682: Business Intelligence Tools, with Mico Yuk</title>
      <description>In this week's episode, Mico Yuk, host of 'Analytics on Fire', joins Jon Krohn to share her effective business intelligence and analytics framework, BIDS, for persuading key decision makers. She crowns one "power" tool as the analytics king and discusses emerging tools that could challenge its dominance. Tune in for unapologetic insights on future and current BI trends and happenings from the world of BI and analytics.Additional materials: www.superdatascience.com/682Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 26 May 2023 11:00:00 -0000</pubDate>
      <itunes:title>682: Business Intelligence Tools, with Mico Yuk</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4af7016e-1c32-11ef-9765-37e8a7be39ad/image/8ea0c3c4e884bc52181fd7dde593398c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this week's episode, Mico Yuk, host of 'Analytics on Fire', joins Jon Krohn to share her effective business intelligence and analytics framework, BIDS, for persuading key decision makers. She crowns one "power" tool as the analytics king and discusses emerging tools that could challenge its dominance. Tune in for unapologetic insights on future and current BI trends and happenings from the world of BI and analytics.Additional materials: www.superdatascience.com/682Interested in sponsoring ...</itunes:subtitle>
      <itunes:summary>In this week's episode, Mico Yuk, host of 'Analytics on Fire', joins Jon Krohn to share her effective business intelligence and analytics framework, BIDS, for persuading key decision makers. She crowns one "power" tool as the analytics king and discusses emerging tools that could challenge its dominance. Tune in for unapologetic insights on future and current BI trends and happenings from the world of BI and analytics.Additional materials: www.superdatascience.com/682Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this week's episode, Mico Yuk, host of 'Analytics on Fire', joins Jon Krohn to share her effective business intelligence and analytics framework, BIDS, for persuading key decision makers. She crowns one "power" tool as the analytics king and discusses emerging tools that could challenge its dominance. Tune in for unapologetic insights on future and current BI trends and happenings from the world of BI and analytics.<br><br>Additional materials: <a href="https://www.superdatascience.com/682">www.superdatascience.com/682</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1656</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    <item>
      <title>681: XGBoost: The Ultimate Classifier, with Matt Harrison</title>
      <description>Unlock the power of XGBoost by learning how to fine-tune its hyperparameters and discover its optimal modeling situations. This and more, when best-selling author and leading Python consultant Matt Harrison teams up with Jon Krohn for yet another jam-packed technical episode! Are you ready to upgrade your data science toolkit in just one hour? Tune-in now!This episode is brought to you by Pathway, the reactive data processing framework, by Posit, the open-source data science company, and by Anaconda, the world's most popular Python distribution. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Matt's book ‘Effective XGBoost’ [07:05]• What is XGBoost [09:09]• XGBoost's key model hyperparameters [19:01]• XGBoost's secret sauce [29:57]• When to use XGBoost [34:45]• When not to use XGBoost [41:42]• Matt’s recommended Python libraries [47:36]• Matt's production tips [57:57]Additional materials: www.superdatascience.com/681</description>
      <pubDate>Tue, 23 May 2023 11:00:00 -0000</pubDate>
      <itunes:title>681: XGBoost: The Ultimate Classifier, with Matt Harrison</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4b6ab212-1c32-11ef-9765-03e076193b19/image/321cc111443150e3afe21ad210191bd6.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Unlock the power of XGBoost by learning how to fine-tune its hyperparameters and discover its optimal modeling situations. This and more, when best-selling author and leading Python consultant Matt Harrison teams up with Jon Krohn for yet another jam-packed technical episode! Are you ready to upgrade your data science toolkit in just one hour? Tune-in now!This episode is brought to you by Pathway, the reactive data processing framework, by Posit, the open-source data science company, and by A...</itunes:subtitle>
      <itunes:summary>Unlock the power of XGBoost by learning how to fine-tune its hyperparameters and discover its optimal modeling situations. This and more, when best-selling author and leading Python consultant Matt Harrison teams up with Jon Krohn for yet another jam-packed technical episode! Are you ready to upgrade your data science toolkit in just one hour? Tune-in now!This episode is brought to you by Pathway, the reactive data processing framework, by Posit, the open-source data science company, and by Anaconda, the world's most popular Python distribution. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Matt's book ‘Effective XGBoost’ [07:05]• What is XGBoost [09:09]• XGBoost's key model hyperparameters [19:01]• XGBoost's secret sauce [29:57]• When to use XGBoost [34:45]• When not to use XGBoost [41:42]• Matt’s recommended Python libraries [47:36]• Matt's production tips [57:57]Additional materials: www.superdatascience.com/681</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Unlock the power of XGBoost by learning how to fine-tune its hyperparameters and discover its optimal modeling situations. This and more, when best-selling author and leading Python consultant Matt Harrison teams up with Jon Krohn for yet another jam-packed technical episode! Are you ready to upgrade your data science toolkit in just one hour? Tune-in now!<br><br>This episode is brought to you by <a href="https://pathway.com/?from=superdatascience">Pathway</a>, the reactive data processing framework, by <a href="https://posit.co/">Posit</a>, the open-source data science company, and by <a href="https://superdatascience.com/anaconda">Anaconda</a>, the world's most popular Python distribution. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Matt's book ‘Effective XGBoost’ [07:05]<br>• What is XGBoost [09:09]<br>• XGBoost's key model hyperparameters [19:01]<br>• XGBoost's secret sauce [29:57]<br>• When to use XGBoost [34:45]<br>• When not to use XGBoost [41:42]<br>• Matt’s recommended Python libraries [47:36]<br>• Matt's production tips [57:57]<br><br>Additional materials: <a href="https://www.superdatascience.com/681">www.superdatascience.com/681</a></p>]]>
      </content:encoded>
      <itunes:duration>4321</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    <item>
      <title>680: Automating Industrial Machines with Data Science and the Internet of Things (IoT)</title>
      <description>Industrial machinery’s dependence on data science, tech stacks to build IoT platforms, and transitioning from data science to product: This week’s Friday episode with Allegra Alessi explores the minutiae of product ownership for the Internet of Things at packaging company Bobst. Join host Jon Krohn and his guest as they unpack how the IoT is leading factory production.Additional materials: www.superdatascience.com/680Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 19 May 2023 11:00:00 -0000</pubDate>
      <itunes:title>680: Automating Industrial Machines with Data Science and the Internet of Things (IoT)</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4cec6e78-1c32-11ef-9765-3fc170068fa7/image/40430ce8aff16bdc06624027f7d95cf0.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Industrial machinery’s dependence on data science, tech stacks to build IoT platforms, and transitioning from data science to product: This week’s Friday episode with Allegra Alessi explores the minutiae of product ownership for the Internet of Things at packaging company Bobst. Join host Jon Krohn and his guest as they unpack how the IoT is leading factory production.Additional materials: www.superdatascience.com/680Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn....</itunes:subtitle>
      <itunes:summary>Industrial machinery’s dependence on data science, tech stacks to build IoT platforms, and transitioning from data science to product: This week’s Friday episode with Allegra Alessi explores the minutiae of product ownership for the Internet of Things at packaging company Bobst. Join host Jon Krohn and his guest as they unpack how the IoT is leading factory production.Additional materials: www.superdatascience.com/680Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Industrial machinery’s dependence on data science, tech stacks to build IoT platforms, and transitioning from data science to product: This week’s Friday episode with Allegra Alessi explores the minutiae of product ownership for the Internet of Things at packaging company Bobst. Join host Jon Krohn and his guest as they unpack how the IoT is leading factory production.<br><br>Additional materials: <a href="https://www.superdatascience.com/680">www.superdatascience.com/680</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1825</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>679: The A.I. and Machine Learning Landscape, with investor George Mathew</title>
      <description>Generative AI, MLOps, and making smart investments in AI: This week’s episode is critical listening for AI investors and generative AI creators. AI investor George Mathew talks with host Jon Krohn about the emerging generative AI stack, the critical elements of MLOps to ensure a scalable model, and the tools developers can use for a saleable product.This episode is brought to you by Posit, the open-source data science company, by AWS Inferentia, and by Anaconda, the world's most popular Python distribution. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Venture capital’s role in the technology startup ecosystem [05:59]• How RLHF helps UI become more intuitive [12:53]• The four layers of the generative AI stack [34:16]• The risks for generative AI business founders and investors [46:50]• How MLOps drive best practices and help implementation [56:33]• The importance of PLG (Product Lead Growth) [1:04:15]• How generative AI tools will impact the labor market [1:17:34]Additional materials: www.superdatascience.com/679</description>
      <pubDate>Tue, 16 May 2023 11:00:00 -0000</pubDate>
      <itunes:title>679: The A.I. and Machine Learning Landscape, with investor George Mathew</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4defdc9c-1c32-11ef-9765-6735019a61fe/image/39971bc9fb02bedaa8439f3b888a9f14.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Generative AI, MLOps, and making smart investments in AI: This week’s episode is critical listening for AI investors and generative AI creators. AI investor George Mathew talks with host Jon Krohn about the emerging generative AI stack, the critical elements of MLOps to ensure a scalable model, and the tools developers can use for a saleable product.This episode is brought to you by Posit, the open-source data science company, by AWS Inferentia, and by Anaconda, the world's most popular Pytho...</itunes:subtitle>
      <itunes:summary>Generative AI, MLOps, and making smart investments in AI: This week’s episode is critical listening for AI investors and generative AI creators. AI investor George Mathew talks with host Jon Krohn about the emerging generative AI stack, the critical elements of MLOps to ensure a scalable model, and the tools developers can use for a saleable product.This episode is brought to you by Posit, the open-source data science company, by AWS Inferentia, and by Anaconda, the world's most popular Python distribution. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Venture capital’s role in the technology startup ecosystem [05:59]• How RLHF helps UI become more intuitive [12:53]• The four layers of the generative AI stack [34:16]• The risks for generative AI business founders and investors [46:50]• How MLOps drive best practices and help implementation [56:33]• The importance of PLG (Product Lead Growth) [1:04:15]• How generative AI tools will impact the labor market [1:17:34]Additional materials: www.superdatascience.com/679</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Generative AI, MLOps, and making smart investments in AI: This week’s episode is critical listening for AI investors and generative AI creators. AI investor George Mathew talks with host Jon Krohn about the emerging generative AI stack, the critical elements of MLOps to ensure a scalable model, and the tools developers can use for a saleable product.<br><br>This episode is brought to you by <a href="https://posit.co/">Posit</a>, the open-source data science company, by <a href="https://go.aws/3zWS0au">AWS Inferentia</a>, and by <a href="https://superdatascience.com/anaconda">Anaconda</a>, the world's most popular Python distribution. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Venture capital’s role in the technology startup ecosystem [05:59]<br>• How RLHF helps UI become more intuitive [12:53]<br>• The four layers of the generative AI stack [34:16]<br>• The risks for generative AI business founders and investors [46:50]<br>• How MLOps drive best practices and help implementation [56:33]<br>• The importance of PLG (Product Lead Growth) [1:04:15]<br>• How generative AI tools will impact the labor market [1:17:34]<br><br>Additional materials: <a href="https://www.superdatascience.com/679">www.superdatascience.com/679</a></p>]]>
      </content:encoded>
      <itunes:duration>5654</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3451668360.mp3?updated=1716819086" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>678: StableLM: Open-source "ChatGPT"-like LLMs you can fit on one GPU</title>
      <description>StableLM, the new family of open-source language models from the brilliant minds behind Stable Diffusion is out! Small, but mighty, these models have been trained on an unprecedented amount of data for single GPU LLMs. This week, Jon breaks down the mechanics of this model–see you there!
Additional materials: www.superdatascience.com/678
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 12 May 2023 11:00:00 -0000</pubDate>
      <itunes:title>678: StableLM: Open-source "ChatGPT"-like LLMs you can fit on one GPU</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4ea4e704-1c32-11ef-9765-83dbe220c959/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>StableLM, the new family of open-source language models from the brilliant minds behind Stable Diffusion is out! Small, but mighty, these models have been trained on an unprecedented amount of data for single GPU LLMs. This week, Jon breaks down the mechanics of this model–see you there!Additional materials: www.superdatascience.com/678Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>StableLM, the new family of open-source language models from the brilliant minds behind Stable Diffusion is out! Small, but mighty, these models have been trained on an unprecedented amount of data for single GPU LLMs. This week, Jon breaks down the mechanics of this model–see you there!
Additional materials: www.superdatascience.com/678
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>StableLM, the new family of open-source language models from the brilliant minds behind Stable Diffusion is out! Small, but mighty, these models have been trained on an unprecedented amount of data for single GPU LLMs. This week, Jon breaks down the mechanics of this model–see you there!</p><p>Additional materials: <a href="https://www.superdatascience.com/678">www.superdatascience.com/678</a><br><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>699</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12827992]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6487635506.mp3?updated=1716819087" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>677: Digital Analytics with Avinash Kaushik</title>
      <description>How does one use marketing analytics to drive business success? Avinash Kaushik, Chief Strategy Officer at Croud and former Sr. Director of Global Strategic Analytics at Google joins Jon Krohn live for an exciting episode that covers the transformative power of AI, his 'four clusters of intent' framework and the value of hands-on data tools.

This episode is brought to you by Pathway, the reactive data processing framework, by Posit, the open-source data science company, and by Anaconda, the world's most popular Python distribution. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• What is a chief strategy officer? [3:55]
• Brand vs performance analytics [7:23]
• Incrementality-centric marketing [32:53]
• Avinash's time at Google [37:54]
• How to maintain human-touch with AI [48:58]
• Four clusters of intent framework [1:11:28]
• Avinash's most significant career challenges [1:17:18]

Additional materials: www.superdatascience.com/677</description>
      <pubDate>Tue, 09 May 2023 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4f1edd34-1c32-11ef-9765-23711d1a8b01/image/2f01017953f782cf45e9a9e0181f0724.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How does one use marketing analytics to drive business success? Avinash Kaushik, Chief Strategy Officer at Croud and former Sr. Director of Global Strategic Analytics at Google joins Jon Krohn live for an exciting episode that covers the transformative power of AI, his 'four clusters of intent' framework and the value of hands-on data tools.</itunes:subtitle>
      <itunes:summary>How does one use marketing analytics to drive business success? Avinash Kaushik, Chief Strategy Officer at Croud and former Sr. Director of Global Strategic Analytics at Google joins Jon Krohn live for an exciting episode that covers the transformative power of AI, his 'four clusters of intent' framework and the value of hands-on data tools.

This episode is brought to you by Pathway, the reactive data processing framework, by Posit, the open-source data science company, and by Anaconda, the world's most popular Python distribution. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• What is a chief strategy officer? [3:55]
• Brand vs performance analytics [7:23]
• Incrementality-centric marketing [32:53]
• Avinash's time at Google [37:54]
• How to maintain human-touch with AI [48:58]
• Four clusters of intent framework [1:11:28]
• Avinash's most significant career challenges [1:17:18]

Additional materials: www.superdatascience.com/677</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How does one use marketing analytics to drive business success? Avinash Kaushik, Chief Strategy Officer at Croud and former Sr. Director of Global Strategic Analytics at Google joins Jon Krohn live for an exciting episode that covers the transformative power of AI, his 'four clusters of intent' framework and the value of hands-on data tools.</p><p><br></p><p>This episode is brought to you by <a href="https://pathway.com/?from=superdatascience">Pathway</a>, the reactive data processing framework, by <a href="https://posit.co">Posit</a>, the open-source data science company, and by <a href="https://superdatascience.com/anaconda">Anaconda</a>, the world's most popular Python distribution. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://JonKrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• What is a chief strategy officer? [3:55]</p><p>• Brand vs performance analytics [7:23]</p><p>• Incrementality-centric marketing [32:53]</p><p>• Avinash's time at Google [37:54]</p><p>• How to maintain human-touch with AI [48:58]</p><p>• Four clusters of intent framework [1:11:28]</p><p>• Avinash's most significant career challenges [1:17:18]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/677">www.superdatascience.com/677</a></p>]]>
      </content:encoded>
      <itunes:duration>5274</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12812900]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3493818610.mp3?updated=1724750449" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>676: The Chinchilla Scaling Laws</title>
      <description>Chinchilla AI, and fine-tuning proprietary tasks with large language models: On this week’s Five-Minute Friday, host Jon Krohn outlines the principles of the Chinchilla Scaling Laws, the incredible power of models such as Cerebras-GPT based on these laws, and the impact of scaling on the number of viable applications and commercial use cases.Additional materials: www.superdatascience.com/676Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 05 May 2023 11:00:00 -0000</pubDate>
      <itunes:title>676: The Chinchilla Scaling Laws</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/52e1305c-1c32-11ef-9765-9fde546a33b4/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Chinchilla AI, and fine-tuning proprietary tasks with large language models: On this week’s Five-Minute Friday, host Jon Krohn outlines the principles of the Chinchilla Scaling Laws, the incredible power of models such as Cerebras-GPT based on these laws, and the impact of scaling on the number of viable applications and commercial use cases.Additional materials: www.superdatascience.com/676Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship...</itunes:subtitle>
      <itunes:summary>Chinchilla AI, and fine-tuning proprietary tasks with large language models: On this week’s Five-Minute Friday, host Jon Krohn outlines the principles of the Chinchilla Scaling Laws, the incredible power of models such as Cerebras-GPT based on these laws, and the impact of scaling on the number of viable applications and commercial use cases.Additional materials: www.superdatascience.com/676Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Chinchilla AI, and fine-tuning proprietary tasks with large language models: On this week’s Five-Minute Friday, host Jon Krohn outlines the principles of the Chinchilla Scaling Laws, the incredible power of models such as Cerebras-GPT based on these laws, and the impact of scaling on the number of viable applications and commercial use cases.<br><br>Additional materials:<a href="https://www.superdatascience.com/672"> </a><a href="https://www.superdatascience.com/676">www.superdatascience.com/676</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>807</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12782511]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9508815021.mp3?updated=1716819100" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>675: Pandas for Data Analysis and Visualization</title>
      <description>Wrangling data in Pandas, when to use Pandas, Matplotlib or Seaborn, and why you should learn to create Python packages: Jon Krohn speaks with guest Stefanie Molin, author of Hands-On Data Analysis with Pandas.
This episode is brought to you by Posit, the open-source data science company, and by AWS Inferentia. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• The advantages of using pandas over other libraries [07:55]• Why data wrangling in pandas is so helpful [12:05]• Stefanie’s Data Morph library [24:27]• When to use pandas, matplotlib, or seaborn [33:45]• Understanding the ticker module in matplotlib [36:48]• Where data analysts should start their learning journey [40:08]• What it’s like being a software engineer at Bloomberg [51:19]
Additional materials: www.superdatascience.com/675</description>
      <pubDate>Tue, 02 May 2023 11:00:00 -0000</pubDate>
      <itunes:title>675: Pandas for Data Analysis and Visualization</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/5725932e-1c32-11ef-9765-539de7a8c090/image/e581ca85cc37ae20569978ddc79f6764.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Wrangling data in Pandas, when to use Pandas, Matplotlib or Seaborn, and why you should learn to create Python packages: Jon Krohn speaks with guest Stefanie Molin, author of Hands-On Data Analysis with Pandas.This episode is brought to you by Posit, the open-source data science company, and by AWS Inferentia. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• The advantages of using pandas over ...</itunes:subtitle>
      <itunes:summary>Wrangling data in Pandas, when to use Pandas, Matplotlib or Seaborn, and why you should learn to create Python packages: Jon Krohn speaks with guest Stefanie Molin, author of Hands-On Data Analysis with Pandas.
This episode is brought to you by Posit, the open-source data science company, and by AWS Inferentia. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• The advantages of using pandas over other libraries [07:55]• Why data wrangling in pandas is so helpful [12:05]• Stefanie’s Data Morph library [24:27]• When to use pandas, matplotlib, or seaborn [33:45]• Understanding the ticker module in matplotlib [36:48]• Where data analysts should start their learning journey [40:08]• What it’s like being a software engineer at Bloomberg [51:19]
Additional materials: www.superdatascience.com/675</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Wrangling data in Pandas, when to use Pandas, Matplotlib or Seaborn, and why you should learn to create Python packages: Jon Krohn speaks with guest Stefanie Molin, author of Hands-On Data Analysis with Pandas.</p><p>This episode is brought to you by <a href="https://posit.co">Posit</a>, the open-source data science company, and by <a href="https://go.aws/3zWS0au">AWS Inferentia</a>. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br></p><p>In this episode you will learn:<br>• The advantages of using pandas over other libraries [07:55]<br>• Why data wrangling in pandas is so helpful [12:05]<br>• Stefanie’s Data Morph library [24:27]<br>• When to use pandas, matplotlib, or seaborn [33:45]<br>• Understanding the ticker module in matplotlib [36:48]<br>• Where data analysts should start their learning journey [40:08]<br>• What it’s like being a software engineer at Bloomberg [51:19]<br><br></p><p>Additional materials: <a href="https://www.superdatascience.com/675">www.superdatascience.com/675</a></p>]]>
      </content:encoded>
      <itunes:duration>4120</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12766458]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8449711029.mp3?updated=1716819110" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>674: Parameter-Efficient Fine-Tuning of LLMs using LoRA (Low-Rank Adaptation)</title>
      <description>Models like Alpaca, Vicuña, GPT4All-J and Dolly 2.0 have relatively small model architectures, but they're prohibitively expensive to train even on a small amount of your own data. The standard model-training protocol can also lead to catastrophic forgetting. In this week's episode, Jon explores a solution to these problems, introducing listeners to Parameter-Efficient Fine-Tuning (PEFT) and the leading approach: Low-Rank Adaptation (LoRA).Additional materials: www.superdatascience.com/674Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 28 Apr 2023 11:00:00 -0000</pubDate>
      <itunes:title>674: Parameter-Efficient Fine-Tuning of LLMs using LoRA (Low-Rank Adaptation)</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/5dab946e-1c32-11ef-9765-0370333e4c35/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Models like Alpaca, Vicuña, GPT4All-J and Dolly 2.0 have relatively small model architectures, but they're prohibitively expensive to train even on a small amount of your own data. The standard model-training protocol can also lead to catastrophic forgetting. In this week's episode, Jon explores a solution to these problems, introducing listeners to Parameter-Efficient Fine-Tuning (PEFT) and the leading approach: Low-Rank Adaptation (LoRA).Additional materials: www.superdatascience.com/674Int...</itunes:subtitle>
      <itunes:summary>Models like Alpaca, Vicuña, GPT4All-J and Dolly 2.0 have relatively small model architectures, but they're prohibitively expensive to train even on a small amount of your own data. The standard model-training protocol can also lead to catastrophic forgetting. In this week's episode, Jon explores a solution to these problems, introducing listeners to Parameter-Efficient Fine-Tuning (PEFT) and the leading approach: Low-Rank Adaptation (LoRA).Additional materials: www.superdatascience.com/674Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Models like Alpaca, Vicuña, GPT4All-J and Dolly 2.0 have relatively small model architectures, but they're prohibitively expensive to train even on a small amount of your own data. The standard model-training protocol can also lead to catastrophic forgetting. In this week's episode, Jon explores a solution to these problems, introducing listeners to Parameter-Efficient Fine-Tuning (PEFT) and the leading approach: Low-Rank Adaptation (LoRA).<br><br>Additional materials:<a href="https://www.superdatascience.com/672"> </a><a href="https://www.superdatascience.com/674">www.superdatascience.com/674</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>327</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>673: Taipy, the open-source Python application builder</title>
      <description>Vincent Gosselin, CEO and co-founder of Taipy, an open-source Python library, joins Jon Krohn to discuss how to accelerate productivity in Python and build scalable, reusable, and maintainable data pipelines. Gosselin shares his breadth of wisdom honed over his decades-long AI career.
This episode is brought to you by Pathway, the reactive data processing framework, and by Posit, the open-source data science company. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• The Taipy library functionality [2:59]• The future of data pipelines [21:40]• Common trends of companies that are successful at adopting data pipelines [28:31]• How no-code and low-code trends impact the data science lifecycle [33:00]• How Vincent chose the programming languages that underpin Taipy [41:40]• Common trends on how companies manage their data to learn from it [45:06]• Vincent's perspective on AI winters [51:03]
Additional materials: www.superdatascience.com/673</description>
      <pubDate>Tue, 25 Apr 2023 11:00:00 -0000</pubDate>
      <itunes:title>673: Taipy, the open-source Python application builder</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6679d3ee-1c32-11ef-9765-af927659569b/image/f1af995918596db8e202d0b88057e12a.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Vincent Gosselin, CEO and co-founder of Taipy, an open-source Python library, joins Jon Krohn to discuss how to accelerate productivity in Python and build scalable, reusable, and maintainable data pipelines. Gosselin shares his breadth of wisdom honed over his decades-long AI career.This episode is brought to you by Pathway, the reactive data processing framework, and by Posit, the open-source data science company. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.c...</itunes:subtitle>
      <itunes:summary>Vincent Gosselin, CEO and co-founder of Taipy, an open-source Python library, joins Jon Krohn to discuss how to accelerate productivity in Python and build scalable, reusable, and maintainable data pipelines. Gosselin shares his breadth of wisdom honed over his decades-long AI career.
This episode is brought to you by Pathway, the reactive data processing framework, and by Posit, the open-source data science company. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• The Taipy library functionality [2:59]• The future of data pipelines [21:40]• Common trends of companies that are successful at adopting data pipelines [28:31]• How no-code and low-code trends impact the data science lifecycle [33:00]• How Vincent chose the programming languages that underpin Taipy [41:40]• Common trends on how companies manage their data to learn from it [45:06]• Vincent's perspective on AI winters [51:03]
Additional materials: www.superdatascience.com/673</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Vincent Gosselin, CEO and co-founder of Taipy, an open-source Python library, joins Jon Krohn to discuss how to accelerate productivity in Python and build scalable, reusable, and maintainable data pipelines. Gosselin shares his breadth of wisdom honed over his decades-long AI career.</p><p>This episode is brought to you by <a href="https://pathway.com/?from=superdatascience">Pathway</a>, the reactive data processing framework, and by <a href="https://posit.co/academy">Posit</a>, the open-source data science company. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br></p><p>In this episode you will learn:<br>• The Taipy library functionality [2:59]<br>• The future of data pipelines [21:40]<br>• Common trends of companies that are successful at adopting data pipelines [28:31]<br>• How no-code and low-code trends impact the data science lifecycle [33:00]<br>• How Vincent chose the programming languages that underpin Taipy [41:40]<br>• Common trends on how companies manage their data to learn from it [45:06]<br>• Vincent's perspective on AI winters [51:03]<br><br></p><p>Additional materials: <a href="https://gate.sc/?url=http%3A%2F%2Fwww.superdatascience.com%2F673&amp;token=edf8ed-1-1682407874251">www.superdatascience.com/673</a></p>]]>
      </content:encoded>
      <itunes:duration>4321</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>672: Open-source "ChatGPT": Alpaca, Vicuña, GPT4All-J, and Dolly 2.0</title>
      <description>Get started with language models: Learn about the commercial-use options available for your business in this week’s Five-Minute Friday, where host Jon Krohn discusses four models that have many of the capabilities of ChatGPT and can run at a fraction of the cost.Additional materials: www.superdatascience.com/672Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 21 Apr 2023 11:00:00 -0000</pubDate>
      <itunes:title>672: Open-source "ChatGPT": Alpaca, Vicuña, GPT4All-J, and Dolly 2.0</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/67aa7d2c-1c32-11ef-9765-df74c82cb26a/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Get started with language models: Learn about the commercial-use options available for your business in this week’s Five-Minute Friday, where host Jon Krohn discusses four models that have many of the capabilities of ChatGPT and can run at a fraction of the cost.Additional materials: www.superdatascience.com/672Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Get started with language models: Learn about the commercial-use options available for your business in this week’s Five-Minute Friday, where host Jon Krohn discusses four models that have many of the capabilities of ChatGPT and can run at a fraction of the cost.Additional materials: www.superdatascience.com/672Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Get started with language models: Learn about the commercial-use options available for your business in this week’s Five-Minute Friday, where host Jon Krohn discusses four models that have many of the capabilities of ChatGPT and can run at a fraction of the cost.<br><br>Additional materials:<a href="https://www.superdatascience.com/672"> www.superdatascience.com/672</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1010</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12688818]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8241316735.mp3?updated=1716819129" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>671: Cloud Machine Learning</title>
      <description>Get to grips with AWS, Azure, Google Cloud Platform on this week’s episode. Host Jon Krohn speaks with Kirill Eremenko and Hadelin de Ponteves about CloudWolf, a cloud computing educational platform that prepares students for certification in AWS (Amazon Web Services). Find out why an accreditation in cloud computing could be the safest investment for your data science career.
This episode is brought to you by Posit, the open-source data science company, and by AWS Inferentia. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• About CloudWolf [07:04]• Why learning the cloud is important for data scientists [09:12]• Is learning cloud computing complex? [22:30]• Essential AWS services [28:31]• Database options on AWS [33:47]• How to run analytics on AWS [40:58]• Why an AWS certification is so helpful [56:35]
Additional materials: www.superdatascience.com/671</description>
      <pubDate>Tue, 18 Apr 2023 11:00:00 -0000</pubDate>
      <itunes:title>671: Cloud Machine Learning</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6856e7ec-1c32-11ef-9765-ebded3466413/image/28df51be9091c7696cc526fc7c8ed864.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Get to grips with AWS, Azure, Google Cloud Platform on this week’s episode. Host Jon Krohn speaks with Kirill Eremenko and Hadelin de Ponteves about CloudWolf, a cloud computing educational platform that prepares students for certification in AWS (Amazon Web Services). Find out why an accreditation in cloud computing could be the safest investment for your data science career.This episode is brought to you by Posit, the open-source data science company, and by AWS Inferentia. Interested in sp...</itunes:subtitle>
      <itunes:summary>Get to grips with AWS, Azure, Google Cloud Platform on this week’s episode. Host Jon Krohn speaks with Kirill Eremenko and Hadelin de Ponteves about CloudWolf, a cloud computing educational platform that prepares students for certification in AWS (Amazon Web Services). Find out why an accreditation in cloud computing could be the safest investment for your data science career.
This episode is brought to you by Posit, the open-source data science company, and by AWS Inferentia. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• About CloudWolf [07:04]• Why learning the cloud is important for data scientists [09:12]• Is learning cloud computing complex? [22:30]• Essential AWS services [28:31]• Database options on AWS [33:47]• How to run analytics on AWS [40:58]• Why an AWS certification is so helpful [56:35]
Additional materials: www.superdatascience.com/671</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Get to grips with AWS, Azure, Google Cloud Platform on this week’s episode. Host Jon Krohn speaks with Kirill Eremenko and Hadelin de Ponteves about CloudWolf, a cloud computing educational platform that prepares students for certification in AWS (Amazon Web Services). Find out why an accreditation in cloud computing could be the safest investment for your data science career.</p><p>This episode is brought to you by <a href="https://posit.co/academy">Posit</a>, the open-source data science company, and by <a href="https://go.aws/3zWS0au">AWS Inferentia</a>. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br></p><p>In this episode you will learn:<br>• About CloudWolf [07:04]<br>• Why learning the cloud is important for data scientists [09:12]<br>• Is learning cloud computing complex? [22:30]<br>• Essential AWS services [28:31]<br>• Database options on AWS [33:47]<br>• How to run analytics on AWS [40:58]<br>• Why an AWS certification is so helpful [56:35]<br><br></p><p>Additional materials: <a href="https://www.superdatascience.com/671">www.superdatascience.com/671</a></p>]]>
      </content:encoded>
      <itunes:duration>3793</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3489257717.mp3?updated=1716819131" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>670: LLaMA: GPT-3 performance, 10x smaller</title>
      <description>How does Meta AI's natural language model, LLaMa compare to the rest? Based on the Chinchilla scaling laws, LLaMa is designed to be smaller but more performant. But how exactly does it achieve this feat? It's all done by training a small model for a longer period of time. Discover how LLaMa compares to its competition, including GPT-3, in this week's episode. Additional materials: www.superdatascience.com/670Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 14 Apr 2023 11:00:00 -0000</pubDate>
      <itunes:title>670: LLaMA: GPT-3 performance, 10x smaller</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/69b0a9ac-1c32-11ef-9765-8b834bbe9387/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How does Meta AI's natural language model, LLaMa compare to the rest? Based on the Chinchilla scaling laws, LLaMa is designed to be smaller but more performant. But how exactly does it achieve this feat? It's all done by training a small model for a longer period of time. Discover how LLaMa compares to its competition, including GPT-3, in this week's episode. Additional materials: www.superdatascience.com/670Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podca...</itunes:subtitle>
      <itunes:summary>How does Meta AI's natural language model, LLaMa compare to the rest? Based on the Chinchilla scaling laws, LLaMa is designed to be smaller but more performant. But how exactly does it achieve this feat? It's all done by training a small model for a longer period of time. Discover how LLaMa compares to its competition, including GPT-3, in this week's episode. Additional materials: www.superdatascience.com/670Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How does Meta AI's natural language model, LLaMa compare to the rest? Based on the Chinchilla scaling laws, LLaMa is designed to be smaller but more performant. But how exactly does it achieve this feat? It's all done by training a small model for a longer period of time. Discover how LLaMa compares to its competition, including GPT-3, in this week's episode. <br><br>Additional materials: <a href="https://www.superdatascience.com/670">www.superdatascience.com/670</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>806</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2780731966.mp3?updated=1716819144" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>669: Streaming, reactive, real-time machine learning</title>
      <description>In this episode, Jon Krohn welcomes Adrian Kosowski, Co-Founder and Chief Product Officer at Pathway, who shares insights on streaming data processing and reactive data processing, and how they're shaping the future of machine learning. Tune in now for an unforgettable episode.
This episode is brought to you by Posit, the open-source data science company, and by AWS Inferentia. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• About Pathway's reactive data processing framework [04:45]• Reactive data processing use cases [17:08]• What is the difference between batch and streaming processing [33:18]• Transformers in data engineering and data streaming [53:44]• The benefits of Adrian's technical background as a CPO [1:04:17]• Adrian's responsibilities and favorite tools as a CPO [1:15:25]• Emerging ML approaches and tools for startups [1:28:49]
Additional materials: www.superdatascience.com/669</description>
      <pubDate>Tue, 11 Apr 2023 11:00:00 -0000</pubDate>
      <itunes:title>669: Streaming, reactive, real-time machine learning</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6eec9b7e-1c32-11ef-9765-77a46115bc96/image/fcbf7e2f62081d45ef9a0a049f54bb29.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jon Krohn welcomes Adrian Kosowski, Co-Founder and Chief Product Officer at Pathway, who shares insights on streaming data processing and reactive data processing, and how they're shaping the future of machine learning. Tune in now for an unforgettable episode.This episode is brought to you by Posit, the open-source data science company, and by AWS Inferentia. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.I...</itunes:subtitle>
      <itunes:summary>In this episode, Jon Krohn welcomes Adrian Kosowski, Co-Founder and Chief Product Officer at Pathway, who shares insights on streaming data processing and reactive data processing, and how they're shaping the future of machine learning. Tune in now for an unforgettable episode.
This episode is brought to you by Posit, the open-source data science company, and by AWS Inferentia. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• About Pathway's reactive data processing framework [04:45]• Reactive data processing use cases [17:08]• What is the difference between batch and streaming processing [33:18]• Transformers in data engineering and data streaming [53:44]• The benefits of Adrian's technical background as a CPO [1:04:17]• Adrian's responsibilities and favorite tools as a CPO [1:15:25]• Emerging ML approaches and tools for startups [1:28:49]
Additional materials: www.superdatascience.com/669</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jon Krohn welcomes Adrian Kosowski, Co-Founder and Chief Product Officer at Pathway, who shares insights on streaming data processing and reactive data processing, and how they're shaping the future of machine learning. Tune in now for an unforgettable episode.</p><p>This episode is brought to you by <a href="https:///posit.co/academy">Posit</a>, the open-source data science company, and by <a href="https://go.aws/3zWS0au">AWS Inferentia</a>. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://JonKrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br></p><p>In this episode you will learn:<br>• About Pathway's reactive data processing framework [04:45]<br>• Reactive data processing use cases [17:08]<br>• What is the difference between batch and streaming processing [33:18]<br>• Transformers in data engineering and data streaming [53:44]<br>• The benefits of Adrian's technical background as a CPO [1:04:17]<br>• Adrian's responsibilities and favorite tools as a CPO [1:15:25]<br>• Emerging ML approaches and tools for startups [1:28:49]<br><br></p><p>Additional materials: <a href="https://www.superdatascience.com/669">www.superdatascience.com/669</a></p>]]>
      </content:encoded>
      <itunes:duration>6059</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>668: GPT-4: Apocalyptic stepping stone?</title>
      <description>AI risks, RLHF, and inner alignment: GPT stands to give the business world a major boost. But with everyone racing either to develop products that incorporate GPT or use it to carry out critical tasks, what dangers could lie ahead in working with a tool that applies essentially unknowable means (inner alignments) to reach its goals? This week’s guest Jérémie Harris speaks with Jon Krohn about the essential need for anyone working with GPT to understand the impact of a system comprising inner alignments that cannot – and may never – be fully understood.Additional materials: www.superdatascience.com/668Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. </description>
      <pubDate>Fri, 07 Apr 2023 11:00:00 -0000</pubDate>
      <itunes:title>668: GPT-4: Apocalyptic stepping stone?</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6f62de4c-1c32-11ef-9765-63bdad5c982e/image/b66cbe5443ccbd722d4106f3be671676.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>AI risks, RLHF, and inner alignment: GPT stands to give the business world a major boost. But with everyone racing either to develop products that incorporate GPT or use it to carry out critical tasks, what dangers could lie ahead in working with a tool that applies essentially unknowable means (inner alignments) to reach its goals? This week’s guest Jérémie Harris speaks with Jon Krohn about the essential need for anyone working with GPT to understand the impact of a system comprising inner ...</itunes:subtitle>
      <itunes:summary>AI risks, RLHF, and inner alignment: GPT stands to give the business world a major boost. But with everyone racing either to develop products that incorporate GPT or use it to carry out critical tasks, what dangers could lie ahead in working with a tool that applies essentially unknowable means (inner alignments) to reach its goals? This week’s guest Jérémie Harris speaks with Jon Krohn about the essential need for anyone working with GPT to understand the impact of a system comprising inner alignments that cannot – and may never – be fully understood.Additional materials: www.superdatascience.com/668Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. </itunes:summary>
      <content:encoded>
        <![CDATA[<p>AI risks, RLHF, and inner alignment: GPT stands to give the business world a major boost. But with everyone racing either to develop products that incorporate GPT or use it to carry out critical tasks, what dangers could lie ahead in working with a tool that applies essentially unknowable means (inner alignments) to reach its goals? This week’s guest Jérémie Harris speaks with Jon Krohn about the essential need for anyone working with GPT to understand the impact of a system comprising inner alignments that cannot – and may never – be fully understood.<br><br>Additional materials: <a href="https://www.superdatascience.com/668">www.superdatascience.com/668</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="http://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information. </p>]]>
      </content:encoded>
      <itunes:duration>3347</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>667: Harnessing GPT-4 for your Commercial Advantage</title>
      <description>GPT-4, augmenting human tasks with AI, and using GPT-4 commercially: Vin Vashishta speaks to host Jon Krohn about how to leverage GPT-4 and outperform your competitors in both speed and value. Learn how GPT-4 has outmatched its predecessors – and many skilled workers – in this latest iteration of large language models.
This episode is brought to you by Pathway, the reactive data processing framework, by Posit, the open-source data science company, and by epic LinkedIn Learning instructor Keith McCormick. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• Using GPT-4 to screen for jobs [06:26]• A framework for improving systems with GPT [13:32]• Teaming, tooling and collaborating with GPT-4 [29:58]• How to accelerate data science with generative A.I. [45:36]• How to prepare for opportunities with GPT-4 [52:09]
Additional materials: www.superdatascience.com/667</description>
      <pubDate>Tue, 04 Apr 2023 11:00:00 -0000</pubDate>
      <itunes:title>667: Harnessing GPT-4 for your Commercial Advantage</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/701a4618-1c32-11ef-9765-e7192e044af3/image/3de74cdadc97e3e0f6f356e7f2560c53.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>GPT-4, augmenting human tasks with AI, and using GPT-4 commercially: Vin Vashishta speaks to host Jon Krohn about how to leverage GPT-4 and outperform your competitors in both speed and value. Learn how GPT-4 has outmatched its predecessors – and many skilled workers – in this latest iteration of large language models.This episode is brought to you by Pathway, the reactive data processing framework, by Posit, the open-source data science company, and by epic LinkedIn Learning instructor Keith...</itunes:subtitle>
      <itunes:summary>GPT-4, augmenting human tasks with AI, and using GPT-4 commercially: Vin Vashishta speaks to host Jon Krohn about how to leverage GPT-4 and outperform your competitors in both speed and value. Learn how GPT-4 has outmatched its predecessors – and many skilled workers – in this latest iteration of large language models.
This episode is brought to you by Pathway, the reactive data processing framework, by Posit, the open-source data science company, and by epic LinkedIn Learning instructor Keith McCormick. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• Using GPT-4 to screen for jobs [06:26]• A framework for improving systems with GPT [13:32]• Teaming, tooling and collaborating with GPT-4 [29:58]• How to accelerate data science with generative A.I. [45:36]• How to prepare for opportunities with GPT-4 [52:09]
Additional materials: www.superdatascience.com/667</itunes:summary>
      <content:encoded>
        <![CDATA[<p>GPT-4, augmenting human tasks with AI, and using GPT-4 commercially: Vin Vashishta speaks to host Jon Krohn about how to leverage GPT-4 and outperform your competitors in both speed and value. Learn how GPT-4 has outmatched its predecessors – and many skilled workers – in this latest iteration of large language models.</p><p>This episode is brought to you by <a href="https://pathway.com/?from=superdatascience">Pathway</a>, the reactive data processing framework, by <a href="https://posit.co/academy">Posit</a>, the open-source data science company, and by epic LinkedIn Learning instructor <a href="https://linkedin.com/learning/instructors/keith-mccormick">Keith McCormick</a>. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br></p><p>In this episode you will learn:<br>• Using GPT-4 to screen for jobs [06:26]<br>• A framework for improving systems with GPT [13:32]<br>• Teaming, tooling and collaborating with GPT-4 [29:58]<br>• How to accelerate data science with generative A.I. [45:36]<br>• How to prepare for opportunities with GPT-4 [52:09]<br><br></p><p>Additional materials: <a href="https://www.superdatascience.com/667">www.superdatascience.com/667</a></p>]]>
      </content:encoded>
      <itunes:duration>3870</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>666: GPT-4</title>
      <description>GPT-4 has landed! But how well does it compare to GPT-3.5? Tune in to hear Jon stack its performance against its predecessor–the results might just blow your mind.Additional materials: www.superdatascience.com/666Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 31 Mar 2023 11:00:00 -0000</pubDate>
      <itunes:title>666: GPT-4</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/721327be-1c32-11ef-9765-cb8d35f094ec/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>GPT-4 has landed! But how well does it compare to GPT-3.5? Tune in to hear Jon stack its performance against its predecessor–the results might just blow your mind.Additional materials: www.superdatascience.com/666Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>GPT-4 has landed! But how well does it compare to GPT-3.5? Tune in to hear Jon stack its performance against its predecessor–the results might just blow your mind.Additional materials: www.superdatascience.com/666Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>GPT-4 has landed! But how well does it compare to GPT-3.5? Tune in to hear Jon stack its performance against its predecessor–the results might just blow your mind.<br><br>Additional materials: <a href="https://www.superdatascience.com/666">www.superdatascience.com/666</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>711</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12540186]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3464200833.mp3?updated=1716819146" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>665: How to be both socially impactful and financially successful in your data career</title>
      <description>Angel investor and data science consultant Josh Wills sits down with Jon Krohn to discuss his former roles (Google, Slack, and Cloudera) and the essential skills for engineering scalable machine learning projects.
This episode is brought to you by Pathway, the reactive data processing framework, and by epic LinkedIn Learning instructor Keith McCormick. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• Josh's 'Data Engineering for Machine Learning' course [06:50]• Contextual bandits [10:52]• Data quality and monitoring [16:45]• The “infinite loop of sadness” in data product development [25:12]• Josh’s definition of a data scientist [30:02]• Josh's role at WeaveGrid [37:36]• Management-Track vs Independent Contributor [48:47]• Josh's work on the Covid pandemic [1:06:46]• Josh’s favorite tech stack [1:11:13]
Additional materials: www.superdatascience.com/665</description>
      <pubDate>Tue, 28 Mar 2023 11:00:00 -0000</pubDate>
      <itunes:title>665: How to be both socially impactful and financially successful in your data career</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/728cd802-1c32-11ef-9765-2b28a9b931bb/image/dca4746654242ff262227576ee84f8da.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Angel investor and data science consultant Josh Wills sits down with Jon Krohn to discuss his former roles (Google, Slack, and Cloudera) and the essential skills for engineering scalable machine learning projects.This episode is brought to you by Pathway, the reactive data processing framework, and by epic LinkedIn Learning instructor Keith McCormick. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will le...</itunes:subtitle>
      <itunes:summary>Angel investor and data science consultant Josh Wills sits down with Jon Krohn to discuss his former roles (Google, Slack, and Cloudera) and the essential skills for engineering scalable machine learning projects.
This episode is brought to you by Pathway, the reactive data processing framework, and by epic LinkedIn Learning instructor Keith McCormick. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• Josh's 'Data Engineering for Machine Learning' course [06:50]• Contextual bandits [10:52]• Data quality and monitoring [16:45]• The “infinite loop of sadness” in data product development [25:12]• Josh’s definition of a data scientist [30:02]• Josh's role at WeaveGrid [37:36]• Management-Track vs Independent Contributor [48:47]• Josh's work on the Covid pandemic [1:06:46]• Josh’s favorite tech stack [1:11:13]
Additional materials: www.superdatascience.com/665</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Angel investor and data science consultant Josh Wills sits down with Jon Krohn to discuss his former roles (Google, Slack, and Cloudera) and the essential skills for engineering scalable machine learning projects.</p><p>This episode is brought to you by <a href="https://pathway.com/?from=superdatascience">Pathway</a>, the reactive data processing framework, and by epic LinkedIn Learning instructor <a href="https://linkedin.com/learning/instructors/keith-mccormick">Keith McCormick</a>. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br></p><p>In this episode you will learn:<br>• Josh's 'Data Engineering for Machine Learning' course [06:50]<br>• Contextual bandits [10:52]<br>• Data quality and monitoring [16:45]<br>• The “infinite loop of sadness” in data product development [25:12]<br>• Josh’s definition of a data scientist [30:02]<br>• Josh's role at WeaveGrid [37:36]<br>• Management-Track vs Independent Contributor [48:47]<br>• Josh's work on the Covid pandemic [1:06:46]<br>• Josh’s favorite tech stack [1:11:13]<br><br></p><p>Additional materials: <a href="https://www.superdatascience.com/665">www.superdatascience.com/665</a></p>]]>
      </content:encoded>
      <itunes:duration>5264</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12531470]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7802193555.mp3?updated=1716819148" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>664: MIT Study: ChatGPT Dramatically Increases Productivity</title>
      <description>Can ChatGPT make us better and faster in our work, and is it the future or just another fad? In this episode, Jon Krohn delves into a new study from MIT about the tool’s potential productivity for white-collar tasks.Additional materials: www.superdatascience.com/664Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 24 Mar 2023 11:00:00 -0000</pubDate>
      <itunes:title>664: MIT Study: ChatGPT Dramatically Increases Productivity</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7307d8f4-1c32-11ef-9765-63f8de22e4c4/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Can ChatGPT make us better and faster in our work, and is it the future or just another fad? In this episode, Jon Krohn delves into a new study from MIT about the tool’s potential productivity for white-collar tasks.Additional materials: www.superdatascience.com/664Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Can ChatGPT make us better and faster in our work, and is it the future or just another fad? In this episode, Jon Krohn delves into a new study from MIT about the tool’s potential productivity for white-collar tasks.Additional materials: www.superdatascience.com/664Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Can ChatGPT make us better and faster in our work, and is it the future or just another fad? In this episode, Jon Krohn delves into a new study from MIT about the tool’s potential productivity for white-collar tasks.<br><br>Additional materials: <a href="https://www.superdatascience.com/664">www.superdatascience.com/664</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="http://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>315</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12493284]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3285566628.mp3?updated=1716819148" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>663: Astonishing CICERO negotiates and builds trust with humans using natural language</title>
      <description>NLP, transformer architectures, and machines beating humans at their own game: Jon Krohn talks to Alexander H. Miller about his work in building a machine that can outsmart humans in the game of Diplomacy by engineering powers of persuasion and collusion to its own advantage.
This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick (linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• Training a natural language model to interact with Diplomacy players [05:07]• Processing speeds for a Diplomacy bot [29:32]• Using transformer architectures [37:25]• How Diplomacy AI actually works [43:25]• CICERO's potential real-world applications [55:28]• How to R&amp;D an AI project [59:27]• How to become an AI Research Manager [1:06:12]
Additional materials: www.superdatascience.com/663</description>
      <pubDate>Tue, 21 Mar 2023 11:00:00 -0000</pubDate>
      <itunes:title>663: Astonishing CICERO negotiates and builds trust with humans using natural language</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/737cfb70-1c32-11ef-9765-e382750468e5/image/250b9b96f85c0c24c3228753af805a82.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>NLP, transformer architectures, and machines beating humans at their own game: Jon Krohn talks to Alexander H. Miller about his work in building a machine that can outsmart humans in the game of Diplomacy by engineering powers of persuasion and collusion to its own advantage.This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick (linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podc...</itunes:subtitle>
      <itunes:summary>NLP, transformer architectures, and machines beating humans at their own game: Jon Krohn talks to Alexander H. Miller about his work in building a machine that can outsmart humans in the game of Diplomacy by engineering powers of persuasion and collusion to its own advantage.
This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick (linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• Training a natural language model to interact with Diplomacy players [05:07]• Processing speeds for a Diplomacy bot [29:32]• Using transformer architectures [37:25]• How Diplomacy AI actually works [43:25]• CICERO's potential real-world applications [55:28]• How to R&amp;D an AI project [59:27]• How to become an AI Research Manager [1:06:12]
Additional materials: www.superdatascience.com/663</itunes:summary>
      <content:encoded>
        <![CDATA[<p>NLP, transformer architectures, and machines beating humans at their own game: Jon Krohn talks to Alexander H. Miller about his work in building a machine that can outsmart humans in the game of Diplomacy by engineering powers of persuasion and collusion to its own advantage.</p><p>This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick (<a href="https://www.linkedin.com/learning/instructors/keith-mccormick">linkedin.com/learning/instructors/keith-mccormick</a>). Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br></p><p>In this episode you will learn:<br>• Training a natural language model to interact with Diplomacy players [05:07]<br>• Processing speeds for a Diplomacy bot [29:32]<br>• Using transformer architectures [37:25]<br>• How Diplomacy AI actually works [43:25]<br>• CICERO's potential real-world applications [55:28]<br>• How to R&amp;D an AI project [59:27]<br>• How to become an AI Research Manager [1:06:12]<br><br></p><p>Additional materials: <a href="https://www.superdatascience.com/663">www.superdatascience.com/663</a></p>]]>
      </content:encoded>
      <itunes:duration>4649</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12483761]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2833952674.mp3?updated=1716819149" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>662: The Most Popular SuperDataScience Podcast Episodes of 2022</title>
      <description>Our list of the top 10 SuperDataScience podcast episodes for 2022 is here. From Pandas to causality, AI breakthroughs and data storytelling, these were your most popular episodes of the year gone by.
Additional materials: www.superdatascience.com/662
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 17 Mar 2023 11:00:00 -0000</pubDate>
      <itunes:title>662: The Most Popular SuperDataScience Podcast Episodes of 2022</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/73e8d994-1c32-11ef-9765-87e09ef13121/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Our list of the top 10 SuperDataScience podcast episodes for 2022 is here. From Pandas to causality, AI breakthroughs and data storytelling, these were your most popular episodes of the year gone by.Additional materials: www.superdatascience.com/662Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Our list of the top 10 SuperDataScience podcast episodes for 2022 is here. From Pandas to causality, AI breakthroughs and data storytelling, these were your most popular episodes of the year gone by.
Additional materials: www.superdatascience.com/662
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Our list of the top 10 SuperDataScience podcast episodes for 2022 is here. From Pandas to causality, AI breakthroughs and data storytelling, these were your most popular episodes of the year gone by.</p><p>Additional materials: <a href="https://www.superdatascience.com/662">www.superdatascience.com/662</a><br><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="http://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>470</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12437097]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9952358814.mp3?updated=1716819149" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>661: Designing Machine Learning Systems</title>
      <description>Chip Huyen, co-founder of Claypot AI and author of O'Reilly's best-selling "Designing Machine Learning Systems" is here to share her expertise on designing production-ready machine learning applications, the importance of iteration in real-world deployment, and the critical role of real-time machine learning in various applications. Technical listeners like data scientists and machine learning engineers will definitely enjoy this one!
This episode is brought to you by Pathway, the reactive data processing framework (pathway.com), and by epic LinkedIn Learning instructor Keith McCormick (linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• Why Chip wrote 'Designing Machine Learning Systems' [08:58]• How Chip ended up teaching at Stanford [13:18]• About Chip's book 'Designing Machine Learning Systems' [21:12]• What makes ML feel like magic [30:53]• How to align business intent, context, and metrics with ML [37:55]• The lessons Chip learned about training data [42:03]• Chip's secrets to engineering good features [53:19]• How Chip optimizes her productivity [1:07:48]
Additional materials: www.superdatascience.com/661</description>
      <pubDate>Tue, 14 Mar 2023 11:00:00 -0000</pubDate>
      <itunes:title>661: Designing Machine Learning Systems</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/74583e2e-1c32-11ef-9765-cb5f8086317f/image/971e6dbcd59b89a956cc18a250ae7fb9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Chip Huyen, co-founder of Claypot AI and author of O'Reilly's best-selling "Designing Machine Learning Systems" is here to share her expertise on designing production-ready machine learning applications, the importance of iteration in real-world deployment, and the critical role of real-time machine learning in various applications. Technical listeners like data scientists and machine learning engineers will definitely enjoy this one!This episode is brought to you by Pathway, the reactive dat...</itunes:subtitle>
      <itunes:summary>Chip Huyen, co-founder of Claypot AI and author of O'Reilly's best-selling "Designing Machine Learning Systems" is here to share her expertise on designing production-ready machine learning applications, the importance of iteration in real-world deployment, and the critical role of real-time machine learning in various applications. Technical listeners like data scientists and machine learning engineers will definitely enjoy this one!
This episode is brought to you by Pathway, the reactive data processing framework (pathway.com), and by epic LinkedIn Learning instructor Keith McCormick (linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• Why Chip wrote 'Designing Machine Learning Systems' [08:58]• How Chip ended up teaching at Stanford [13:18]• About Chip's book 'Designing Machine Learning Systems' [21:12]• What makes ML feel like magic [30:53]• How to align business intent, context, and metrics with ML [37:55]• The lessons Chip learned about training data [42:03]• Chip's secrets to engineering good features [53:19]• How Chip optimizes her productivity [1:07:48]
Additional materials: www.superdatascience.com/661</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Chip Huyen, co-founder of Claypot AI and author of O'Reilly's best-selling "Designing Machine Learning Systems" is here to share her expertise on designing production-ready machine learning applications, the importance of iteration in real-world deployment, and the critical role of real-time machine learning in various applications. Technical listeners like data scientists and machine learning engineers will definitely enjoy this one!</p><p>This episode is brought to you by Pathway, the reactive data processing framework (<a href="https://www.pathway.com/?from=superdatascience">pathway.com</a>), and by epic LinkedIn Learning instructor Keith McCormick (<a href="https://www.linkedin.com/learning/instructors/keith-mccormick">linkedin.com/learning/instructors/keith-mccormick</a>). Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br></p><p>In this episode you will learn:<br>• Why Chip wrote 'Designing Machine Learning Systems' [08:58]<br>• How Chip ended up teaching at Stanford [13:18]<br>• About Chip's book 'Designing Machine Learning Systems' [21:12]<br>• What makes ML feel like magic [30:53]<br>• How to align business intent, context, and metrics with ML [37:55]<br>• The lessons Chip learned about training data [42:03]<br>• Chip's secrets to engineering good features [53:19]<br>• How Chip optimizes her productivity [1:07:48]<br><br></p><p>Additional materials: <a href="https://www.superdatascience.com/661">www.superdatascience.com/661</a></p>]]>
      </content:encoded>
      <itunes:duration>4602</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>660: Five Ways to Use ChatGPT for Data Science</title>
      <description>ChatGPT is well-known for its potential to disrupt the writing industry, but in what other, perhaps less explored, ways can we use the tool? In this episode, Jon Krohn outlines five critical ways that ChatGPT can augment a data scientist’s work. From generating code to acting as a translation tool for programming languages, listen in to hear why ChatGPT could become a vital part of every data scientist’s toolkit.
Additional materials: www.superdatascience.com/660
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 10 Mar 2023 12:00:00 -0000</pubDate>
      <itunes:title>660: Five Ways to Use ChatGPT for Data Science</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/74fbbc02-1c32-11ef-9765-63cce409a3ff/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>ChatGPT is well-known for its potential to disrupt the writing industry, but in what other, perhaps less explored, ways can we use the tool? In this episode, Jon Krohn outlines five critical ways that ChatGPT can augment a data scientist’s work. From generating code to acting as a translation tool for programming languages, listen in to hear why ChatGPT could become a vital part of every data scientist’s toolkit.Additional materials: www.superdatascience.com/660Interested in sponsoring a Supe...</itunes:subtitle>
      <itunes:summary>ChatGPT is well-known for its potential to disrupt the writing industry, but in what other, perhaps less explored, ways can we use the tool? In this episode, Jon Krohn outlines five critical ways that ChatGPT can augment a data scientist’s work. From generating code to acting as a translation tool for programming languages, listen in to hear why ChatGPT could become a vital part of every data scientist’s toolkit.
Additional materials: www.superdatascience.com/660
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>ChatGPT is well-known for its potential to disrupt the writing industry, but in what other, perhaps less explored, ways can we use the tool? In this episode, Jon Krohn outlines five critical ways that ChatGPT can augment a data scientist’s work. From generating code to acting as a translation tool for programming languages, listen in to hear why ChatGPT could become a vital part of every data scientist’s toolkit.</p><p>Additional materials: <a href="https://www.superdatascience.com/660">www.superdatascience.com/660</a><br><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="http://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>233</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12391526]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4140701904.mp3?updated=1716819151" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>659: Open-Source Tools for Natural Language Processing</title>
      <description>NLP practitioners: this episode is for you. From the awareness of linguistic elements and annotation to getting the necessary people in the room, Vincent Warmerdam presents to Jon Krohn a recipe for a successful project and the open-source NLP tools to get there.
This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick (linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• How Vincent came to work with De Speld [08:57]• Vincent’s role at Explosion [18:59]• How users can apply spaCy [21:46]• Prodigy: Annotate training data more efficiently with scripts [26:28]• How to manage “skill anxiety” with Calmcode [32:32]• How Vincent fixed bad labels [42:47]• The value of understanding linguistics for NLP [54:42]• How to constrain artificial stupidity [1:02:38]
Additional materials: www.superdatascience.com/659</description>
      <pubDate>Tue, 07 Mar 2023 12:00:00 -0000</pubDate>
      <itunes:title>659: Open-Source Tools for Natural Language Processing</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7588a810-1c32-11ef-9765-df2eb4ebeafe/image/f10740c29633eab852fe1dc19b247250.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>NLP practitioners: this episode is for you. From the awareness of linguistic elements and annotation to getting the necessary people in the room, Vincent Warmerdam presents to Jon Krohn a recipe for a successful project and the open-source NLP tools to get there.This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick (linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for spons...</itunes:subtitle>
      <itunes:summary>NLP practitioners: this episode is for you. From the awareness of linguistic elements and annotation to getting the necessary people in the room, Vincent Warmerdam presents to Jon Krohn a recipe for a successful project and the open-source NLP tools to get there.
This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick (linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• How Vincent came to work with De Speld [08:57]• Vincent’s role at Explosion [18:59]• How users can apply spaCy [21:46]• Prodigy: Annotate training data more efficiently with scripts [26:28]• How to manage “skill anxiety” with Calmcode [32:32]• How Vincent fixed bad labels [42:47]• The value of understanding linguistics for NLP [54:42]• How to constrain artificial stupidity [1:02:38]
Additional materials: www.superdatascience.com/659</itunes:summary>
      <content:encoded>
        <![CDATA[<p>NLP practitioners: this episode is for you. From the awareness of linguistic elements and annotation to getting the necessary people in the room, Vincent Warmerdam presents to Jon Krohn a recipe for a successful project and the open-source NLP tools to get there.</p><p>This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick (<a href="https://www.linkedin.com/learning/instructors/keith-mccormick">linkedin.com/learning/instructors/keith-mccormick</a>). Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br></p><p>In this episode you will learn:<br>• How Vincent came to work with De Speld [08:57]<br>• Vincent’s role at Explosion [18:59]<br>• How users can apply spaCy [21:46]<br>• Prodigy: Annotate training data more efficiently with scripts [26:28]<br>• How to manage “skill anxiety” with Calmcode [32:32]<br>• How Vincent fixed bad labels [42:47]<br>• The value of understanding linguistics for NLP [54:42]<br>• How to constrain artificial stupidity [1:02:38]<br><br></p><p>Additional materials: <a href="https://www.superdatascience.com/659">www.superdatascience.com/659</a></p>]]>
      </content:encoded>
      <itunes:duration>4857</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12391184]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6100669927.mp3?updated=1716819156" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>658: How to Build Data and ML Products Users Love</title>
      <description>What makes data products popular? Brian T. O'Neill, Founder and Principal of Designing for Analytics, returns to the podcast to help us crack the code on building data products that people love.
Additional materials: www.superdatascience.com/658
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 03 Mar 2023 12:00:00 -0000</pubDate>
      <itunes:title>658: How to Build Data and ML Products Users Love</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/75ff91e6-1c32-11ef-9765-4f209b7619a5/image/a144ed1c6db9bf2ceaa46129273e9b2c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What makes data products popular? Brian T. O'Neill, Founder and Principal of Designing for Analytics, returns to the podcast to help us crack the code on building data products that people love.Additional materials: www.superdatascience.com/658Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>What makes data products popular? Brian T. O'Neill, Founder and Principal of Designing for Analytics, returns to the podcast to help us crack the code on building data products that people love.
Additional materials: www.superdatascience.com/658
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What makes data products popular? Brian T. O'Neill, Founder and Principal of Designing for Analytics, returns to the podcast to help us crack the code on building data products that people love.</p><p>Additional materials: <a href="https://www.superdatascience.com/658">www.superdatascience.com/658</a><br><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="http://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2142</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12366621]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8601486805.mp3?updated=1716819153" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>657: How to Learn Data Engineering</title>
      <description>Data engineering educator Andreas Kretz joins Jon Krohn for a 1-hour primer that covers everything you need to know about the most in-demand role in data. From skills to tools, problem-solving processes and more, growing your knowledge of data engineering only improves your marketability, so tune in today if you're ready to future-proof your data career.
This episode is brought to you by Glean (glean.io), the platform for data insights fast, and by epic LinkedIn Learning instructor Keith McCormick (linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Why learn data engineering? [06:55]• What is data engineering? [08:08]• What sets Senior Data Engineers apart from junior ones? [13:57]• The must-know data-engineering tools [20:26]• The right path to learn data engineering [44:24]• Are certifications worth it? [51:46]• The future of data engineering [55:24]• Andreas's career challenges [58:48]Additional materials: www.superdatascience.com/657</description>
      <pubDate>Tue, 28 Feb 2023 12:00:00 -0000</pubDate>
      <itunes:title>657: How to Learn Data Engineering</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7676b6c2-1c32-11ef-9765-673614faf0da/image/3e27b39196f5fcae5bb72bfaf6f87883.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Data engineering educator Andreas Kretz joins Jon Krohn for a 1-hour primer that covers everything you need to know about the most in-demand role in data. From skills to tools, problem-solving processes and more, growing your knowledge of data engineering only improves your marketability, so tune in today if you're ready to future-proof your data career.This episode is brought to you by Glean (glean.io), the platform for data insights fast, and by epic LinkedIn Learning instructor Keith McCor...</itunes:subtitle>
      <itunes:summary>Data engineering educator Andreas Kretz joins Jon Krohn for a 1-hour primer that covers everything you need to know about the most in-demand role in data. From skills to tools, problem-solving processes and more, growing your knowledge of data engineering only improves your marketability, so tune in today if you're ready to future-proof your data career.
This episode is brought to you by Glean (glean.io), the platform for data insights fast, and by epic LinkedIn Learning instructor Keith McCormick (linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Why learn data engineering? [06:55]• What is data engineering? [08:08]• What sets Senior Data Engineers apart from junior ones? [13:57]• The must-know data-engineering tools [20:26]• The right path to learn data engineering [44:24]• Are certifications worth it? [51:46]• The future of data engineering [55:24]• Andreas's career challenges [58:48]Additional materials: www.superdatascience.com/657</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Data engineering educator Andreas Kretz joins Jon Krohn for a 1-hour primer that covers everything you need to know about the most in-demand role in data. From skills to tools, problem-solving processes and more, growing your knowledge of data engineering only improves your marketability, so tune in today if you're ready to future-proof your data career.</p><p>This episode is brought to you by Glean (<a href="https://glean.io/">glean.io</a>), the platform for data insights fast, and by epic LinkedIn Learning instructor Keith McCormick (<a href="https://www.linkedin.com/learning/instructors/keith-mccormick">linkedin.com/learning/instructors/keith-mccormick</a>). Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Why learn data engineering? [06:55]<br>• What is data engineering? [08:08]<br>• What sets Senior Data Engineers apart from junior ones? [13:57]<br>• The must-know data-engineering tools [20:26]<br>• The right path to learn data engineering [44:24]<br>• Are certifications worth it? [51:46]<br>• The future of data engineering [55:24]<br>• Andreas's career challenges [58:48]<br><br>Additional materials: <a href="https://www.superdatascience.com/657">www.superdatascience.com/657</a></p>]]>
      </content:encoded>
      <itunes:duration>4173</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12343919]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8871911369.mp3?updated=1716819154" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>656: A.I. Talent and the Red-Hot A.I. Skills</title>
      <description>How to attract an AI recruiter’s attention: In this episode, Jon Krohn and Tribe AI CEO Jaclyn Rice Nelson break down the key ingredients needed to make a Tribe AI recruiter say “yes!” Get Jaclyn’s top tips for forward-thinking AI talent, the skills you need to learn, and the in-demand roles on Tribe’s list of clients.
Additional materials: www.superdatascience.com/656
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 24 Feb 2023 12:00:00 -0000</pubDate>
      <itunes:title>656: A.I. Talent and the Red-Hot A.I. Skills</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/76ed30b8-1c32-11ef-9765-ab43fef30770/image/b5fc46a88b55997999eed3b359e2e9a9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How to attract an AI recruiter’s attention: In this episode, Jon Krohn and Tribe AI CEO Jaclyn Rice Nelson break down the key ingredients needed to make a Tribe AI recruiter say “yes!” Get Jaclyn’s top tips for forward-thinking AI talent, the skills you need to learn, and the in-demand roles on Tribe’s list of clients.Additional materials: www.superdatascience.com/656Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>How to attract an AI recruiter’s attention: In this episode, Jon Krohn and Tribe AI CEO Jaclyn Rice Nelson break down the key ingredients needed to make a Tribe AI recruiter say “yes!” Get Jaclyn’s top tips for forward-thinking AI talent, the skills you need to learn, and the in-demand roles on Tribe’s list of clients.
Additional materials: www.superdatascience.com/656
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How to attract an AI recruiter’s attention: In this episode, Jon Krohn and Tribe AI CEO Jaclyn Rice Nelson break down the key ingredients needed to make a Tribe AI recruiter say “yes!” Get Jaclyn’s top tips for forward-thinking AI talent, the skills you need to learn, and the in-demand roles on Tribe’s list of clients.</p><p>Additional materials: <a href="https://www.superdatascience.com/656">www.superdatascience.com/656</a><br><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="http://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2511</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12315663]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2255320351.mp3?updated=1716819154" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>655: AI ROI: How to get a profitable return on an AI-project investment</title>
      <description>Transparent data science, profitable AI, and what’s missing from a data science education: Pandata’s Data Scientist in Residence Keith McCormick and Jon Krohn discuss how “insights” can never be the end product of a data science project, how to ensure you have a specific goal at the start of a project that is related to revenue, and why there is so much miscommunication between data scientists and their clients. Exclude the C-suite at your peril!This episode is brought to you by Glean (glean.io), the platform for data insights, fast. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What an Executive Data Scientist in Residence is [05:27]• What A.I. transparency is and how it relates to the field of Explainable A.I. (XAI) [17:34]• How companies can ensure they profit from AI projects [36:47]• Possible organization structures for data science teams to be profitable [1:02:41]• The current gaps in data science education [1:09:58]
Additional materials: www.superdatascience.com/655</description>
      <pubDate>Tue, 21 Feb 2023 12:00:00 -0000</pubDate>
      <itunes:title>655: AI ROI: How to get a profitable return on an AI-project investment</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/77647128-1c32-11ef-9765-734d4f342153/image/799bd795e9c32a817a0e65cddb768a10.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Transparent data science, profitable AI, and what’s missing from a data science education: Pandata’s Data Scientist in Residence Keith McCormick and Jon Krohn discuss how “insights” can never be the end product of a data science project, how to ensure you have a specific goal at the start of a project that is related to revenue, and why there is so much miscommunication between data scientists and their clients. Exclude the C-suite at your peril!This episode is brought to you by Glean (glean....</itunes:subtitle>
      <itunes:summary>Transparent data science, profitable AI, and what’s missing from a data science education: Pandata’s Data Scientist in Residence Keith McCormick and Jon Krohn discuss how “insights” can never be the end product of a data science project, how to ensure you have a specific goal at the start of a project that is related to revenue, and why there is so much miscommunication between data scientists and their clients. Exclude the C-suite at your peril!This episode is brought to you by Glean (glean.io), the platform for data insights, fast. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What an Executive Data Scientist in Residence is [05:27]• What A.I. transparency is and how it relates to the field of Explainable A.I. (XAI) [17:34]• How companies can ensure they profit from AI projects [36:47]• Possible organization structures for data science teams to be profitable [1:02:41]• The current gaps in data science education [1:09:58]
Additional materials: www.superdatascience.com/655</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Transparent data science, profitable AI, and what’s missing from a data science education: Pandata’s Data Scientist in Residence Keith McCormick and Jon Krohn discuss how “insights” can never be the end product of a data science project, how to ensure you have a specific goal at the start of a project that is related to revenue, and why there is so much miscommunication between data scientists and their clients. Exclude the C-suite at your peril!<br><br>This episode is brought to you by Glean (<a href="https://glean.io/">glean.io</a>), the platform for data insights, fast. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• What an Executive Data Scientist in Residence is [05:27]<br>• What A.I. transparency is and how it relates to the field of Explainable A.I. (XAI) [17:34]<br>• How companies can ensure they profit from AI projects [36:47]<br>• Possible organization structures for data science teams to be profitable [1:02:41]<br>• The current gaps in data science education [1:09:58]</p><p>Additional materials: <a href="https://gate.sc/?url=http%3A%2F%2Fwww.superdatascience.com%2F655&amp;token=35b7c1-1-1676970707102">www.superdatascience.com/655</a></p>]]>
      </content:encoded>
      <itunes:duration>6202</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12295601]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4565146105.mp3?updated=1716819155" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>654: Mike Wimmer: The 14-Year-Old A.I. Entrepreneur</title>
      <description>14-year-old AI prodigy Mike Wimmer joins Jon Krohn to discuss his latest projects. Whether he's using AI to help conserve the world's coral reefs or launching his new IOT-based company, Mike is an endless source of inspiration in the field of AI.
Additional materials: www.superdatascience.com/654
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 17 Feb 2023 12:00:00 -0000</pubDate>
      <itunes:title>654: Mike Wimmer: The 14-Year-Old A.I. Entrepreneur</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/77dcf512-1c32-11ef-9765-531fb9a3b5e7/image/9594b10dec61d331af70c1cb6cbfbc4e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>14-year-old AI prodigy Mike Wimmer joins Jon Krohn to discuss his latest projects. Whether he's using AI to help conserve the world's coral reefs or launching his new IOT-based company, Mike is an endless source of inspiration in the field of AI.Additional materials: www.superdatascience.com/654Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>14-year-old AI prodigy Mike Wimmer joins Jon Krohn to discuss his latest projects. Whether he's using AI to help conserve the world's coral reefs or launching his new IOT-based company, Mike is an endless source of inspiration in the field of AI.
Additional materials: www.superdatascience.com/654
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>14-year-old AI prodigy Mike Wimmer joins Jon Krohn to discuss his latest projects. Whether he's using AI to help conserve the world's coral reefs or launching his new IOT-based company, Mike is an endless source of inspiration in the field of AI.</p><p>Additional materials: <a href="https://www.superdatascience.com/654">www.superdatascience.com/654</a><br><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="http://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2725</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>653: Efficiently Glean-ing Insights from Vast Data Warehouses</title>
      <description>Carlos Aguilar, the founder and CEO of Glean, a data exploration and visualization platform, knows a thing or two about starting and growing a tech startup. After recently raising a $7 million seed round, he sits down with Jon Krohn to dive into the makings of his platform and shares tips for building a great founding team and how to delight early adopters.
In this episode you will learn:• How Glean extracts actionable insights from their client's data warehouses [06:48]• What sets Glean apart from other platforms [12:43]• Glean's software stack [14:43]• Glean's recent fundraising journey [24:56]• The essential characteristics of a founding team [30:53]• How Carlos founded Glean [36:56]• Carlos's former role at Flatiron Health [40:49]• How Carlos created a robotic painter [48:57]Additional materials: www.superdatascience.com/653
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Tue, 14 Feb 2023 12:00:00 -0000</pubDate>
      <itunes:title>653: Efficiently Glean-ing Insights from Vast Data Warehouses</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7850bab0-1c32-11ef-9765-f77dcd832427/image/904ab7fe340b33b83a40e3fb7e26c8a3.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Carlos Aguilar, the founder and CEO of Glean, a data exploration and visualization platform, knows a thing or two about starting and growing a tech startup. After recently raising a $7 million seed round, he sits down with Jon Krohn to dive into the makings of his platform and shares tips for building a great founding team and how to delight early adopters.In this episode you will learn:• How Glean extracts actionable insights from their client's data warehouses [06:48]• What sets Glean apart...</itunes:subtitle>
      <itunes:summary>Carlos Aguilar, the founder and CEO of Glean, a data exploration and visualization platform, knows a thing or two about starting and growing a tech startup. After recently raising a $7 million seed round, he sits down with Jon Krohn to dive into the makings of his platform and shares tips for building a great founding team and how to delight early adopters.
In this episode you will learn:• How Glean extracts actionable insights from their client's data warehouses [06:48]• What sets Glean apart from other platforms [12:43]• Glean's software stack [14:43]• Glean's recent fundraising journey [24:56]• The essential characteristics of a founding team [30:53]• How Carlos founded Glean [36:56]• Carlos's former role at Flatiron Health [40:49]• How Carlos created a robotic painter [48:57]Additional materials: www.superdatascience.com/653
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Carlos Aguilar, the founder and CEO of Glean, a data exploration and visualization platform, knows a thing or two about starting and growing a tech startup. After recently raising a $7 million seed round, he sits down with Jon Krohn to dive into the makings of his platform and shares tips for building a great founding team and how to delight early adopters.</p><p>In this episode you will learn:<br>• How Glean extracts actionable insights from their client's data warehouses [06:48]<br>• What sets Glean apart from other platforms [12:43]<br>• Glean's software stack [14:43]<br>• Glean's recent fundraising journey [24:56]<br>• The essential characteristics of a founding team [30:53]<br>• How Carlos founded Glean [36:56]<br>• Carlos's former role at Flatiron Health [40:49]<br>• How Carlos created a robotic painter [48:57]<br><br>Additional materials: <a href="https://www.superdatascience.com/653">www.superdatascience.com/653</a></p><p><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>3445</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12248687]]></guid>
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    </item>
    <item>
      <title>652: A.I. Speech for the Speechless</title>
      <description>MedTech, communications technology and computer vision: In this Five-Minute Friday, Jon Krohn investigates the technology that allows patients who have lost their ability to speak via medical ventilation to communicate clearly.
Additional materials: www.superdatascience.com/652
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 10 Feb 2023 12:00:00 -0000</pubDate>
      <itunes:title>652: A.I. Speech for the Speechless</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/78d5ae8c-1c32-11ef-9765-f712bbcee16d/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>MedTech, communications technology and computer vision: In this Five-Minute Friday, Jon Krohn investigates the technology that allows patients who have lost their ability to speak via medical ventilation to communicate clearly.Additional materials: www.superdatascience.com/652Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>MedTech, communications technology and computer vision: In this Five-Minute Friday, Jon Krohn investigates the technology that allows patients who have lost their ability to speak via medical ventilation to communicate clearly.
Additional materials: www.superdatascience.com/652
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>MedTech, communications technology and computer vision: In this Five-Minute Friday, Jon Krohn investigates the technology that allows patients who have lost their ability to speak via medical ventilation to communicate clearly.</p><p>Additional materials: <a href="https://www.superdatascience.com/652">www.superdatascience.com/652</a></p><p><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="http://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p><p><br><br></p>]]>
      </content:encoded>
      <itunes:duration>377</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12209720]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6895015202.mp3?updated=1716819158" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>651: The Intentional Use of Color in Data Communication</title>
      <description>Data visualizations, color theories and color inclusivity: In this episode, Kate Strachnyi and host Jon Krohn discuss how color can make or break your data visuals, ways to make your charts and graphs more inclusive through color, and how Kate developed the tools and techniques to nail color for your data stories in her latest book, ColorWise: A Data Storyteller’s Guide to the Intentional Use of Color.
In this episode you will learn:• What a “data storyteller” is [11:01]• Why color use should always be intentional [12:52]• Is color always necessary in data visualization? [29:41]• Color selection tips for your data visuals [31:19]• Three-color scales [34:54]• How to respect individual cultures in the color choices you make [38:25]• Best tools for data visualization [54:35]Additional materials: www.superdatascience.com/651
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Tue, 07 Feb 2023 12:00:00 -0000</pubDate>
      <itunes:title>651: The Intentional Use of Color in Data Communication</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/794eb7f0-1c32-11ef-9765-23645f446cac/image/c52e582285bddb4d80bdea1dd6a4a1d6.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Data visualizations, color theories and color inclusivity: In this episode, Kate Strachnyi and host Jon Krohn discuss how color can make or break your data visuals, ways to make your charts and graphs more inclusive through color, and how Kate developed the tools and techniques to nail color for your data stories in her latest book, ColorWise: A Data Storyteller’s Guide to the Intentional Use of Color.In this episode you will learn:• What a “data storyteller” is [11:01]• Why color use should ...</itunes:subtitle>
      <itunes:summary>Data visualizations, color theories and color inclusivity: In this episode, Kate Strachnyi and host Jon Krohn discuss how color can make or break your data visuals, ways to make your charts and graphs more inclusive through color, and how Kate developed the tools and techniques to nail color for your data stories in her latest book, ColorWise: A Data Storyteller’s Guide to the Intentional Use of Color.
In this episode you will learn:• What a “data storyteller” is [11:01]• Why color use should always be intentional [12:52]• Is color always necessary in data visualization? [29:41]• Color selection tips for your data visuals [31:19]• Three-color scales [34:54]• How to respect individual cultures in the color choices you make [38:25]• Best tools for data visualization [54:35]Additional materials: www.superdatascience.com/651
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Data visualizations, color theories and color inclusivity: In this episode, Kate Strachnyi and host Jon Krohn discuss how color can make or break your data visuals, ways to make your charts and graphs more inclusive through color, and how Kate developed the tools and techniques to nail color for your data stories in her latest book, ColorWise: A Data Storyteller’s Guide to the Intentional Use of Color.</p><p>In this episode you will learn:<br>• What a “data storyteller” is [11:01]<br>• Why color use should always be intentional [12:52]<br>• Is color always necessary in data visualization? [29:41]<br>• Color selection tips for your data visuals [31:19]<br>• Three-color scales [34:54]<br>• How to respect individual cultures in the color choices you make [38:25]<br>• Best tools for data visualization [54:35]<br><br>Additional materials: <a href="https://www.superdatascience.com/651">www.superdatascience.com/651</a></p><p><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>4614</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12200743]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5885054950.mp3?updated=1716819158" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>650: SparseGPT: Remove 100 Billion Parameters but Retain 100% Accuracy</title>
      <description>SparseGPT is a noteworthy one-shot pruning technique that can halve the size of large language models like GPT-3 without adversely affecting accuracy. In this episode, Jon Krohn provides an overview of this development and explains its commercial and environmental implications.
Additional materials: www.superdatascience.com/650
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 03 Feb 2023 12:00:00 -0000</pubDate>
      <itunes:title>650: SparseGPT: Remove 100 Billion Parameters but Retain 100% Accuracy</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/79c7714a-1c32-11ef-9765-833f2bb60e01/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>SparseGPT is a noteworthy one-shot pruning technique that can halve the size of large language models like GPT-3 without adversely affecting accuracy. In this episode, Jon Krohn provides an overview of this development and explains its commercial and environmental implications.Additional materials: www.superdatascience.com/650Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>SparseGPT is a noteworthy one-shot pruning technique that can halve the size of large language models like GPT-3 without adversely affecting accuracy. In this episode, Jon Krohn provides an overview of this development and explains its commercial and environmental implications.
Additional materials: www.superdatascience.com/650
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>SparseGPT is a noteworthy one-shot pruning technique that can halve the size of large language models like GPT-3 without adversely affecting accuracy. In this episode, Jon Krohn provides an overview of this development and explains its commercial and environmental implications.</p><p>Additional materials: <a href="https://www.superdatascience.com/650">www.superdatascience.com/650</a></p><p><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="http://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>467</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12169058]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8263011108.mp3?updated=1716819159" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>649: Introduction to Machine Learning</title>
      <description>Looking for a short primer on Machine Learning concepts? SDS Founder Kirill Eremenko and AI expert Hadelin de Ponteves are back, joining Jon Krohn to review essential ML concepts. From classification errors to logistic regression, feature scaling, the elbow method and more. The popular data science instructors also introduce their latest course: Machine Learning in Python: Level 1.
In this episode you will learn:• Kirill and Hadelin's new course [17:34]• Supervised vs unsupervised learning [26:23]• False positives and false negatives [31:21]• Logistic regression [43:00]• Holding out a set of test data [46:39]• Feature scaling [52:45]• The Adjusted R-Squared metric [59:44]• The five assumptions of linear regression [1:05:12]• The Elbow Method [1:11:41]
Additional materials: www.superdatascience.com/649
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Tue, 31 Jan 2023 12:00:00 -0000</pubDate>
      <itunes:title>649: Introduction to Machine Learning</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7a3f06ce-1c32-11ef-9765-a7af65d3718a/image/c069f615da36354e2479b92e8c9ea4c8.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Looking for a short primer on Machine Learning concepts? SDS Founder Kirill Eremenko and AI expert Hadelin de Ponteves are back, joining Jon Krohn to review essential ML concepts. From classification errors to logistic regression, feature scaling, the elbow method and more. The popular data science instructors also introduce their latest course: Machine Learning in Python: Level 1.In this episode you will learn:• Kirill and Hadelin's new course [17:34]• Supervised vs unsupervised learning [26...</itunes:subtitle>
      <itunes:summary>Looking for a short primer on Machine Learning concepts? SDS Founder Kirill Eremenko and AI expert Hadelin de Ponteves are back, joining Jon Krohn to review essential ML concepts. From classification errors to logistic regression, feature scaling, the elbow method and more. The popular data science instructors also introduce their latest course: Machine Learning in Python: Level 1.
In this episode you will learn:• Kirill and Hadelin's new course [17:34]• Supervised vs unsupervised learning [26:23]• False positives and false negatives [31:21]• Logistic regression [43:00]• Holding out a set of test data [46:39]• Feature scaling [52:45]• The Adjusted R-Squared metric [59:44]• The five assumptions of linear regression [1:05:12]• The Elbow Method [1:11:41]
Additional materials: www.superdatascience.com/649
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Looking for a short primer on Machine Learning concepts? SDS Founder Kirill Eremenko and AI expert Hadelin de Ponteves are back, joining Jon Krohn to review essential ML concepts. From classification errors to logistic regression, feature scaling, the elbow method and more. The popular data science instructors also introduce their latest course: Machine Learning in Python: Level 1.</p><p>In this episode you will learn:<br>• Kirill and Hadelin's new course [17:34]<br>• Supervised vs unsupervised learning [26:23]<br>• False positives and false negatives [31:21]<br>• Logistic regression [43:00]<br>• Holding out a set of test data [46:39]<br>• Feature scaling [52:45]<br>• The Adjusted R-Squared metric [59:44]<br>• The five assumptions of linear regression [1:05:12]<br>• The Elbow Method [1:11:41]</p><p><br>Additional materials: <a href="https://www.superdatascience.com/649">www.superdatascience.com/649</a></p><p><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>4945</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12153169]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6932183531.mp3?updated=1716819160" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>648: VALL-E: Uncannily Realistic Voice Imitation from a 3-Second Clip</title>
      <description>Text-to-speech gets a groundbreaking update with Microsoft’s VALL-E. On this Five-Minute Friday, Jon Krohn investigates how the Microsoft team modeled their tool to replicate natural human speech using just three seconds of a person’s voice.
Additional materials: www.superdatascience.com/648
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 27 Jan 2023 12:00:00 -0000</pubDate>
      <itunes:title>648: VALL-E: Uncannily Realistic Voice Imitation from a 3-Second Clip</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7abbad8c-1c32-11ef-9765-bbc52651369b/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Text-to-speech gets a groundbreaking update with Microsoft’s VALL-E. On this Five-Minute Friday, Jon Krohn investigates how the Microsoft team modeled their tool to replicate natural human speech using just three seconds of a person’s voice.Additional materials: www.superdatascience.com/648Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Text-to-speech gets a groundbreaking update with Microsoft’s VALL-E. On this Five-Minute Friday, Jon Krohn investigates how the Microsoft team modeled their tool to replicate natural human speech using just three seconds of a person’s voice.
Additional materials: www.superdatascience.com/648
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Text-to-speech gets a groundbreaking update with Microsoft’s VALL-E. On this Five-Minute Friday, Jon Krohn investigates how the Microsoft team modeled their tool to replicate natural human speech using just three seconds of a person’s voice.</p><p>Additional materials: <a href="https://www.superdatascience.com/648">www.superdatascience.com/648</a></p><p><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="http://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>591</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12129261]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9630897244.mp3?updated=1716819161" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>647: Is Data Science Still Sexy?</title>
      <description>Knowledge management, trust of AI, and job automation: Tom Davenport speaks with Jon Krohn about the organizational obstacles to adopting AI, and why the C-suite also needs to learn how to handle data.This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Cognitive bias in understanding AI [14:13]• How AI will augment rather than replace human workers [24:27]• OpenAI and regulatory action [35:13]• Jobs that might be at risk of being automated [39:57]• The potential of citizen science in accumulating and analyzing data [1:02:18]• How AI will change the game for the C-suite [1:15:17]Additional materials: www.superdatascience.com/647</description>
      <pubDate>Tue, 24 Jan 2023 12:00:00 -0000</pubDate>
      <itunes:title>647: Is Data Science Still Sexy?</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7b6bba60-1c32-11ef-9765-a3c46f3a7766/image/6815be0fe8f5d5af21e7b602b5895cde.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Knowledge management, trust of AI, and job automation: Tom Davenport speaks with Jon Krohn about the organizational obstacles to adopting AI, and why the C-suite also needs to learn how to handle data.This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Cognitive bias in understanding AI [14:13]• How AI...</itunes:subtitle>
      <itunes:summary>Knowledge management, trust of AI, and job automation: Tom Davenport speaks with Jon Krohn about the organizational obstacles to adopting AI, and why the C-suite also needs to learn how to handle data.This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Cognitive bias in understanding AI [14:13]• How AI will augment rather than replace human workers [24:27]• OpenAI and regulatory action [35:13]• Jobs that might be at risk of being automated [39:57]• The potential of citizen science in accumulating and analyzing data [1:02:18]• How AI will change the game for the C-suite [1:15:17]Additional materials: www.superdatascience.com/647</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Knowledge management, trust of AI, and job automation: Tom Davenport speaks with Jon Krohn about the organizational obstacles to adopting AI, and why the C-suite also needs to learn how to handle data.<br><br>This episode is brought to you by Kolena (<a href="https://kolena.io/">kolena.io</a>), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Cognitive bias in understanding AI [14:13]<br>• How AI will augment rather than replace human workers [24:27]<br>• OpenAI and regulatory action [35:13]<br>• Jobs that might be at risk of being automated [39:57]<br>• The potential of citizen science in accumulating and analyzing data [1:02:18]<br>• How AI will change the game for the C-suite [1:15:17]<br><br>Additional materials: <a href="https://www.superdatascience.com/647">www.superdatascience.com/647</a></p>]]>
      </content:encoded>
      <itunes:duration>5804</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8705223948.mp3?updated=1716819162" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>646: ChatGPT: How to Extract Commercial Value Today</title>
      <description>Are you still wondering how to get the most out of ChatGPT's game-changing technology? In this week's Five-Minute Friday guest episode, Jon Krohn sits down with longtime friend and e-commerce entrepreneur Zack Weinberg, to discuss the practical applications of this incredible AI tool.
Additional materials: www.superdatascience.com/646
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 20 Jan 2023 12:00:00 -0000</pubDate>
      <itunes:title>646: ChatGPT: How to Extract Commercial Value Today</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7be7f7a6-1c32-11ef-9765-132b66a42371/image/aa3feaad4c05cf4e5693f710969ca7bc.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Are you still wondering how to get the most out of ChatGPT's game-changing technology? In this week's Five-Minute Friday guest episode, Jon Krohn sits down with longtime friend and e-commerce entrepreneur Zack Weinberg, to discuss the practical applications of this incredible AI tool.Additional materials: www.superdatascience.com/646Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Are you still wondering how to get the most out of ChatGPT's game-changing technology? In this week's Five-Minute Friday guest episode, Jon Krohn sits down with longtime friend and e-commerce entrepreneur Zack Weinberg, to discuss the practical applications of this incredible AI tool.
Additional materials: www.superdatascience.com/646
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Are you still wondering how to get the most out of ChatGPT's game-changing technology? In this week's Five-Minute Friday guest episode, Jon Krohn sits down with longtime friend and e-commerce entrepreneur Zack Weinberg, to discuss the practical applications of this incredible AI tool.</p><p>Additional materials: <a href="https://www.superdatascience.com/646">www.superdatascience.com/646</a></p><p><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="http://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2043</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12075319]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2847306398.mp3?updated=1716819163" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>645: Machine Learning for Video Games</title>
      <description>Machine learning, security and Call of Duty collide this week as Jon Krohn sits down with Carly Taylor, Lead Machine Learning Engineer for Activision's COD franchise to discuss the importance of low-latency, the future of gaming and her favorite software packages. 

This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• The relationship between data science and cyber security [4:49]
• The importance of low-latency for an optimal gaming experience [9:15]
• The future of gaming [18:13]
• Carly's thoughts on the Metaverse [25:43]
• Carly’s favorite operating systems, software packages, and keyboards [30:27]
• How to transition from a quantitative academic background into data science [45:28]
• Why Carly is called the “Rebel Data Scientist” [53:27]
• How to file a patent [57:21]

Additional materials: www.superdatascience.com/645</description>
      <pubDate>Tue, 17 Jan 2023 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7c536ee6-1c32-11ef-9765-c7bf3d82259d/image/5f7f331f8a430dd990b95dd52720e041.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Machine learning, security and Call of Duty collide this week as Jon Krohn sits down with Carly Taylor, Lead Machine Learning Engineer for Activision's COD franchise to discuss the importance of low-latency, the future of gaming and her favorite software packages. </itunes:subtitle>
      <itunes:summary>Machine learning, security and Call of Duty collide this week as Jon Krohn sits down with Carly Taylor, Lead Machine Learning Engineer for Activision's COD franchise to discuss the importance of low-latency, the future of gaming and her favorite software packages. 

This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• The relationship between data science and cyber security [4:49]
• The importance of low-latency for an optimal gaming experience [9:15]
• The future of gaming [18:13]
• Carly's thoughts on the Metaverse [25:43]
• Carly’s favorite operating systems, software packages, and keyboards [30:27]
• How to transition from a quantitative academic background into data science [45:28]
• Why Carly is called the “Rebel Data Scientist” [53:27]
• How to file a patent [57:21]

Additional materials: www.superdatascience.com/645</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Machine learning, security and Call of Duty collide this week as Jon Krohn sits down with Carly Taylor, Lead Machine Learning Engineer for Activision's COD franchise to discuss the importance of low-latency, the future of gaming and her favorite software packages. </p><p><br></p><p>This episode is brought to you by Kolena (<a href="https://kolena.io/">kolena.io</a>), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• The relationship between data science and cyber security [4:49]</p><p>• The importance of low-latency for an optimal gaming experience [9:15]</p><p>• The future of gaming [18:13]</p><p>• Carly's thoughts on the Metaverse [25:43]</p><p>• Carly’s favorite operating systems, software packages, and keyboards [30:27]</p><p>• How to transition from a quantitative academic background into data science [45:28]</p><p>• Why Carly is called the “Rebel Data Scientist” [53:27]</p><p>• How to file a patent [57:21]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/645">www.superdatascience.com/645</a></p>]]>
      </content:encoded>
      <itunes:duration>4513</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12059354]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6074334292.mp3?updated=1724750424" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>644: A Framework for Big Life Decisions</title>
      <description>Love and money matter in this week’s Five-Minute Friday, as Stanford University’s Myra Strober sits down with Jon Krohn to talk about her latest book, Money and Love, coauthored with Abby Davisson. In this unorthodox take on thinking with your head versus your heart, Myra and Abby address the life-changing impact that money and love have on each other and how to rethink this relationship to make better decisions.
Additional materials: www.superdatascience.com/644
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 13 Jan 2023 12:00:00 -0000</pubDate>
      <itunes:title>644: A Framework for Big Life Decisions</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7ccdd7d0-1c32-11ef-9765-ff175f694716/image/8bed2a3eba38516ed6ef74cf41702548.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Love and money matter in this week’s Five-Minute Friday, as Stanford University’s Myra Strober sits down with Jon Krohn to talk about her latest book, Money and Love, coauthored with Abby Davisson. In this unorthodox take on thinking with your head versus your heart, Myra and Abby address the life-changing impact that money and love have on each other and how to rethink this relationship to make better decisions.Additional materials: www.superdatascience.com/644Interested in sponsoring a...</itunes:subtitle>
      <itunes:summary>Love and money matter in this week’s Five-Minute Friday, as Stanford University’s Myra Strober sits down with Jon Krohn to talk about her latest book, Money and Love, coauthored with Abby Davisson. In this unorthodox take on thinking with your head versus your heart, Myra and Abby address the life-changing impact that money and love have on each other and how to rethink this relationship to make better decisions.
Additional materials: www.superdatascience.com/644
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Love and money matter in this week’s Five-Minute Friday, as Stanford University’s Myra Strober sits down with Jon Krohn to talk about her latest book, Money and Love, coauthored with Abby Davisson. In this unorthodox take on thinking with your head versus your heart, Myra and Abby address the life-changing impact that money and love have on each other and how to rethink this relationship to make better decisions.</p><p>Additional materials: <a href="https://www.superdatascience.com/644">www.superdatascience.com/644</a><br><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>991</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12028964]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2779695535.mp3?updated=1716819164" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>643: A.I. for Medicine</title>
      <description>AI prediction tools for antibodies and using statistics to prepare healthcare systems for pandemics: host Jon Krohn speaks with Chief Scientist of Biologics AI for Exscientia Charlotte Deane about the variety of potential partnerships between medicine and machine learning.This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• What does Biologics AI mean? [03:48]• How to use AI to predict protein structures [07:37]• What antibodies are [14:00]• Personalized Medicine is slow but A.I. can speed it up [24:36]• The future of predicting 4D protein structures [44:30]• Applications of machine learning during the pandemic [53:27]Additional materials: www.superdatascience.com/643</description>
      <pubDate>Tue, 10 Jan 2023 12:00:00 -0000</pubDate>
      <itunes:title>643: A.I. for Medicine</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7d4901a8-1c32-11ef-9765-1beb5cacbc8a/image/43d30ddc3f699049f37eee3dcbdb46dc.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>AI prediction tools for antibodies and using statistics to prepare healthcare systems for pandemics: host Jon Krohn speaks with Chief Scientist of Biologics AI for Exscientia Charlotte Deane about the variety of potential partnerships between medicine and machine learning.This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this epi...</itunes:subtitle>
      <itunes:summary>AI prediction tools for antibodies and using statistics to prepare healthcare systems for pandemics: host Jon Krohn speaks with Chief Scientist of Biologics AI for Exscientia Charlotte Deane about the variety of potential partnerships between medicine and machine learning.This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• What does Biologics AI mean? [03:48]• How to use AI to predict protein structures [07:37]• What antibodies are [14:00]• Personalized Medicine is slow but A.I. can speed it up [24:36]• The future of predicting 4D protein structures [44:30]• Applications of machine learning during the pandemic [53:27]Additional materials: www.superdatascience.com/643</itunes:summary>
      <content:encoded>
        <![CDATA[<p>AI prediction tools for antibodies and using statistics to prepare healthcare systems for pandemics: host Jon Krohn speaks with Chief Scientist of Biologics AI for Exscientia Charlotte Deane about the variety of potential partnerships between medicine and machine learning.<br><br>This episode is brought to you by Kolena (<a href="https://kolena.io/">kolena.io</a>), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p><p>In this episode you will learn:<br>• What does Biologics AI mean? [03:48]<br>• How to use AI to predict protein structures [07:37]<br>• What antibodies are [14:00]<br>• Personalized Medicine is slow but A.I. can speed it up [24:36]<br>• The future of predicting 4D protein structures [44:30]<br>• Applications of machine learning during the pandemic [53:27]<br><br>Additional materials: <a href="https://www.superdatascience.com/643">www.superdatascience.com/643</a></p>]]>
      </content:encoded>
      <itunes:duration>4833</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-12014367]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3842648221.mp3?updated=1716819165" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>642: Continuous Calendar for 2023</title>
      <description>Looking to shake up your data science productivity in 2023? Switching to a continuous calendar can make all the difference. Jon Krohn shares his new calendar with those taking their yearly, monthly and daily planning to the next level.
Additional materials: www.superdatascience.com/642
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 06 Jan 2023 12:00:00 -0000</pubDate>
      <itunes:title>642: Continuous Calendar for 2023</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7ddc9274-1c32-11ef-9765-fbdd5d016899/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Looking to shake up your data science productivity in 2023? Switching to a continuous calendar can make all the difference. Jon Krohn shares his new calendar with those taking their yearly, monthly and daily planning to the next level.Additional materials: www.superdatascience.com/642Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Looking to shake up your data science productivity in 2023? Switching to a continuous calendar can make all the difference. Jon Krohn shares his new calendar with those taking their yearly, monthly and daily planning to the next level.
Additional materials: www.superdatascience.com/642
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Looking to shake up your data science productivity in 2023? Switching to a continuous calendar can make all the difference. Jon Krohn shares his new calendar with those taking their yearly, monthly and daily planning to the next level.</p><p>Additional materials: <a href="https://www.superdatascience.com/642">www.superdatascience.com/642</a><br><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p><p><br></p>]]>
      </content:encoded>
      <itunes:duration>175</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11969709]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4932689985.mp3?updated=1716819166" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>641: Data Science Trends for 2023</title>
      <description>The top data science trends of 2023 are here. Sadie St. Lawrence joins Jon Krohn to share annual predictions on the future of AI. From the data mesh to multimodal models like ChatGPT, tune in to discover what's next.
This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• A recap of 2022 predictions [5:22]• Our data science trend predictions for 2023:- Data as a product [23:36]- Multimodal A.I. models [32:26]- The data mesh [42:49]- Privacy &amp; AI Trust [50:54]- Environmental Sustainability [54:37]• Sadie's goals for 2023 [1:16:04]
Additional materials: www.superdatascience.com/641</description>
      <pubDate>Tue, 03 Jan 2023 12:00:00 -0000</pubDate>
      <itunes:title>641: Data Science Trends for 2023</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7e4c2562-1c32-11ef-9765-63514575bf52/image/9acdf52fe75a8a0ddd0d7e7732f5fb54.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>The top data science trends of 2023 are here. Sadie St. Lawrence joins Jon Krohn to share annual predictions on the future of AI. From the data mesh to multimodal models like ChatGPT, tune in to discover what's next.This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• A recap of 2022 predictions [5:22]•...</itunes:subtitle>
      <itunes:summary>The top data science trends of 2023 are here. Sadie St. Lawrence joins Jon Krohn to share annual predictions on the future of AI. From the data mesh to multimodal models like ChatGPT, tune in to discover what's next.
This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• A recap of 2022 predictions [5:22]• Our data science trend predictions for 2023:- Data as a product [23:36]- Multimodal A.I. models [32:26]- The data mesh [42:49]- Privacy &amp; AI Trust [50:54]- Environmental Sustainability [54:37]• Sadie's goals for 2023 [1:16:04]
Additional materials: www.superdatascience.com/641</itunes:summary>
      <content:encoded>
        <![CDATA[<p>The top data science trends of 2023 are here. Sadie St. Lawrence joins Jon Krohn to share annual predictions on the future of AI. From the data mesh to multimodal models like ChatGPT, tune in to discover what's next.</p><p>This episode is brought to you by Kolena (<a href="https://kolena.io/">kolena.io</a>), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br></p><p>In this episode you will learn:<br>• A recap of 2022 predictions [5:22]<br>• Our data science trend predictions for 2023:<br>- Data as a product [23:36]<br>- Multimodal A.I. models [32:26]<br>- The data mesh [42:49]<br>- Privacy &amp; AI Trust [50:54]<br>- Environmental Sustainability [54:37]<br>• Sadie's goals for 2023 [1:16:04]<br><br></p><p>Additional materials: <a href="https://www.superdatascience.com/641">www.superdatascience.com/641</a></p>]]>
      </content:encoded>
      <itunes:duration>5499</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11969379]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8012297541.mp3?updated=1716819167" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>640: What I Learned in 2022</title>
      <description>From AI trends to rediscovering how fun it is to work with colleagues ‘in person’, host Jon Krohn wraps up the year’s best SuperDataScience content and looks ahead to another year of interviews with the data science community’s brightest stars.
Additional materials: www.superdatascience.com/640
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 30 Dec 2022 12:00:00 -0000</pubDate>
      <itunes:title>640: What I Learned in 2022</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7ec8f754-1c32-11ef-9765-a78a4d7c9bbb/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>From AI trends to rediscovering how fun it is to work with colleagues ‘in person’, host Jon Krohn wraps up the year’s best SuperDataScience content and looks ahead to another year of interviews with the data science community’s brightest stars.Additional materials: www.superdatascience.com/640Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>From AI trends to rediscovering how fun it is to work with colleagues ‘in person’, host Jon Krohn wraps up the year’s best SuperDataScience content and looks ahead to another year of interviews with the data science community’s brightest stars.
Additional materials: www.superdatascience.com/640
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>From AI trends to rediscovering how fun it is to work with colleagues ‘in person’, host Jon Krohn wraps up the year’s best SuperDataScience content and looks ahead to another year of interviews with the data science community’s brightest stars.</p><p>Additional materials: <a href="https://www.superdatascience.com/640">www.superdatascience.com/640</a><br><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p><p><br></p>]]>
      </content:encoded>
      <itunes:duration>2220</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11946539]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8392108678.mp3?updated=1716819168" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>639: Simplifying Machine Learning</title>
      <description>Learning Python for beginners is made fun on Mariya Sha’s YouTube and Discord channels, on which she posts hacks, breakdowns and tutorials on everything to do with the world’s most important programming language. If you’re continually frustrated by the high base level at which many ML and Python courses seem to begin, this episode is a great jumping-off point for you.
This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• Why Mariya was first interested in learning Python [04:44]• The positive potential for future AI applications [12:02]• Useful broadcasting software [23:09]• The importance of productivity hacking in data science [34:13]• The ethical problems of web scraping [38:45]• Mariya’s favorite Python libraries [53:48]• What excites Mariya about the future of NLP [1:13:53]• Mariya’s favorite software tools [1:15:23]
Additional materials: www.superdatascience.com/639</description>
      <pubDate>Tue, 27 Dec 2022 12:00:00 -0000</pubDate>
      <itunes:title>639: Simplifying Machine Learning</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7f436494-1c32-11ef-9765-d713d8270006/image/bb1763c6dc9c61be3d46cce72ff3631e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Learning Python for beginners is made fun on Mariya Sha’s YouTube and Discord channels, on which she posts hacks, breakdowns and tutorials on everything to do with the world’s most important programming language. If you’re continually frustrated by the high base level at which many ML and Python courses seem to begin, this episode is a great jumping-off point for you.This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a Sup...</itunes:subtitle>
      <itunes:summary>Learning Python for beginners is made fun on Mariya Sha’s YouTube and Discord channels, on which she posts hacks, breakdowns and tutorials on everything to do with the world’s most important programming language. If you’re continually frustrated by the high base level at which many ML and Python courses seem to begin, this episode is a great jumping-off point for you.
This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• Why Mariya was first interested in learning Python [04:44]• The positive potential for future AI applications [12:02]• Useful broadcasting software [23:09]• The importance of productivity hacking in data science [34:13]• The ethical problems of web scraping [38:45]• Mariya’s favorite Python libraries [53:48]• What excites Mariya about the future of NLP [1:13:53]• Mariya’s favorite software tools [1:15:23]
Additional materials: www.superdatascience.com/639</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Learning Python for beginners is made fun on Mariya Sha’s YouTube and Discord channels, on which she posts hacks, breakdowns and tutorials on everything to do with the world’s most important programming language. If you’re continually frustrated by the high base level at which many ML and Python courses seem to begin, this episode is a great jumping-off point for you.</p><p>This episode is brought to you by Kolena (<a href="https://kolena.io">kolena.io</a>), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br></p><p>In this episode you will learn:<br>• Why Mariya was first interested in learning Python [04:44]<br>• The positive potential for future AI applications [12:02]<br>• Useful broadcasting software [23:09]<br>• The importance of productivity hacking in data science [34:13]<br>• The ethical problems of web scraping [38:45]<br>• Mariya’s favorite Python libraries [53:48]<br>• What excites Mariya about the future of NLP [1:13:53]<br>• Mariya’s favorite software tools [1:15:23]<br><br></p><p>Additional materials: <a href="https://www.superdatascience.com/639">www.superdatascience.com/639</a></p>]]>
      </content:encoded>
      <itunes:duration>6064</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>638: ChatGPT Holiday Greeting</title>
      <description>OpenAI's ChatGPT helps us generate a special holiday greeting this week. Tune in to hear the festive message that this impressive natural language generating algorithm churned out as we close out the year.
Additional materials: www.superdatascience.com/638
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 23 Dec 2022 12:00:00 -0000</pubDate>
      <itunes:title>638: ChatGPT Holiday Greeting</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7fb3d990-1c32-11ef-9765-873c9557f338/image/c3b32a622c1494d661305d2970947e8e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>OpenAI's ChatGPT helps us generate a special holiday greeting this week. Tune in to hear the festive message that this impressive natural language generating algorithm churned out as we close out the year.Additional materials: www.superdatascience.com/638Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>OpenAI's ChatGPT helps us generate a special holiday greeting this week. Tune in to hear the festive message that this impressive natural language generating algorithm churned out as we close out the year.
Additional materials: www.superdatascience.com/638
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>OpenAI's ChatGPT helps us generate a special holiday greeting this week. Tune in to hear the festive message that this impressive natural language generating algorithm churned out as we close out the year.</p><p>Additional materials: <a href="https://www.superdatascience.com/638">www.superdatascience.com/638</a><br><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>217</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11916719]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9406017409.mp3?updated=1716819169" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>637: How to Influence Others with Your Data</title>
      <description>It's all about data visualization this week as Jon Krohn welcomes Ann K. Emery, data visualization designer and owner of Depict Data Studio, to the show. If you want to learn data viz best practices, tips and tricks and reporting how-tos, make some time to tune in today!
This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• What data storytelling is [3:40]• Pinpoints of data visualization [10:38]• Best practices for data visualization [23:41]• Surprising spreadsheet tricks [30:51]• When static dashboards are more effective than interactive ones [43:30]• Ann's top tips for presenting data in a slideshow [48:07]
Additional materials: www.superdatascience.com/637</description>
      <pubDate>Tue, 20 Dec 2022 12:00:00 -0000</pubDate>
      <itunes:title>637: How to Influence Others with Your Data</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8026a09c-1c32-11ef-9765-1bbbf773757d/image/95f194b0e67857a9c12da73776038b6f.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>It's all about data visualization this week as Jon Krohn welcomes Ann K. Emery, data visualization designer and owner of Depict Data Studio, to the show. If you want to learn data viz best practices, tips and tricks and reporting how-tos, make some time to tune in today!This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episo...</itunes:subtitle>
      <itunes:summary>It's all about data visualization this week as Jon Krohn welcomes Ann K. Emery, data visualization designer and owner of Depict Data Studio, to the show. If you want to learn data viz best practices, tips and tricks and reporting how-tos, make some time to tune in today!
This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• What data storytelling is [3:40]• Pinpoints of data visualization [10:38]• Best practices for data visualization [23:41]• Surprising spreadsheet tricks [30:51]• When static dashboards are more effective than interactive ones [43:30]• Ann's top tips for presenting data in a slideshow [48:07]
Additional materials: www.superdatascience.com/637</itunes:summary>
      <content:encoded>
        <![CDATA[<p>It's all about data visualization this week as Jon Krohn welcomes Ann K. Emery, data visualization designer and owner of Depict Data Studio, to the show. If you want to learn data viz best practices, tips and tricks and reporting how-tos, make some time to tune in today!</p><p>This episode is brought to you by Kolena (<a href="https://www.kolena.io/">kolena.io</a>), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="http://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br></p><p>In this episode you will learn:<br>• What data storytelling is [3:40]<br>• Pinpoints of data visualization [10:38]<br>• Best practices for data visualization [23:41]<br>• Surprising spreadsheet tricks [30:51]<br>• When static dashboards are more effective than interactive ones [43:30]<br>• Ann's top tips for presenting data in a slideshow [48:07]<br><br></p><p>Additional materials: <a href="https://www.superdatascience.com/637">www.superdatascience.com/637</a></p>]]>
      </content:encoded>
      <itunes:duration>4078</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11903380]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2360670499.mp3?updated=1716819170" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>636: The Equality Machine</title>
      <description>Digital literacy and data bias: Can one reduce or even eradicate the other? Law professor Orly Lobel speaks with SDS host Jon Krohn about Orly’s latest book, The Equality Machine, which offers an optimistic look into the future of AI and data mining.
Additional materials: www.superdatascience.com/636
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 16 Dec 2022 12:00:00 -0000</pubDate>
      <itunes:title>636: The Equality Machine</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8095ee48-1c32-11ef-9765-fbf41acdf6ac/image/f9207ad52df9f13f1fe4891447280dd9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Digital literacy and data bias: Can one reduce or even eradicate the other? Law professor Orly Lobel speaks with SDS host Jon Krohn about Orly’s latest book, The Equality Machine, which offers an optimistic look into the future of AI and data mining.Additional materials: www.superdatascience.com/636Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Digital literacy and data bias: Can one reduce or even eradicate the other? Law professor Orly Lobel speaks with SDS host Jon Krohn about Orly’s latest book, The Equality Machine, which offers an optimistic look into the future of AI and data mining.
Additional materials: www.superdatascience.com/636
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Digital literacy and data bias: Can one reduce or even eradicate the other? Law professor Orly Lobel speaks with SDS host Jon Krohn about Orly’s latest book, The Equality Machine, which offers an optimistic look into the future of AI and data mining.</p><p>Additional materials: <a href="https://www.superdatascience.com/636">www.superdatascience.com/636</a><br><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1333</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11877619]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6764306563.mp3?updated=1716819171" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>635: The Perils of Manually Labeling Data for Machine Learning Models</title>
      <description>Hand labeling data and information bias: Jon Krohn speaks with Watchful CEO Shayan Mohanty about the pitfalls of data analysis when bias comes into the equation (spoiler alert: it always does), the importance of the Chomsky hierarchy in data management, and the importance of simulation engines for returning real-time results to users.
This episode is brought to you by Iterative (iterative.ai), your mission control center for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• Why bias in general is good [04:06]• The arguments against hand labeling [09:47]• How Shayan solves the problem of labeling at his company [24:26]• Misconceptions concerning hand-labeled data [43:25]• What the Chomsky hierarchy is [52:38]• Watchful’s high-performance simulation engine [1:04:51]• What Shayan looks for in his new hires [1:08:15]
Additional materials: www.superdatascience.com/635</description>
      <pubDate>Tue, 13 Dec 2022 12:00:00 -0000</pubDate>
      <itunes:title>635: The Perils of Manually Labeling Data for Machine Learning Models</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/810f6ed0-1c32-11ef-9765-7f75c1728077/image/33c87243bbd3778812b1d1a9149dca22.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Hand labeling data and information bias: Jon Krohn speaks with Watchful CEO Shayan Mohanty about the pitfalls of data analysis when bias comes into the equation (spoiler alert: it always does), the importance of the Chomsky hierarchy in data management, and the importance of simulation engines for returning real-time results to users.This episode is brought to you by Iterative (iterative.ai), your mission control center for machine learning. Interested in sponsoring a SuperDataScience Podcast...</itunes:subtitle>
      <itunes:summary>Hand labeling data and information bias: Jon Krohn speaks with Watchful CEO Shayan Mohanty about the pitfalls of data analysis when bias comes into the equation (spoiler alert: it always does), the importance of the Chomsky hierarchy in data management, and the importance of simulation engines for returning real-time results to users.
This episode is brought to you by Iterative (iterative.ai), your mission control center for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• Why bias in general is good [04:06]• The arguments against hand labeling [09:47]• How Shayan solves the problem of labeling at his company [24:26]• Misconceptions concerning hand-labeled data [43:25]• What the Chomsky hierarchy is [52:38]• Watchful’s high-performance simulation engine [1:04:51]• What Shayan looks for in his new hires [1:08:15]
Additional materials: www.superdatascience.com/635</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Hand labeling data and information bias: Jon Krohn speaks with Watchful CEO Shayan Mohanty about the pitfalls of data analysis when bias comes into the equation (spoiler alert: it always does), the importance of the Chomsky hierarchy in data management, and the importance of simulation engines for returning real-time results to users.</p><p>This episode is brought to you by Iterative (<a href="https://iterative.ai/">iterative.ai</a>), your mission control center for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="http://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br></p><p>In this episode you will learn:<br>• Why bias in general is good [04:06]<br>• The arguments against hand labeling [09:47]<br>• How Shayan solves the problem of labeling at his company [24:26]<br>• Misconceptions concerning hand-labeled data [43:25]<br>• What the Chomsky hierarchy is [52:38]<br>• Watchful’s high-performance simulation engine [1:04:51]<br>• What Shayan looks for in his new hires [1:08:15]<br><br></p><p>Additional materials: <a href="https://gate.sc/?url=http%3A%2F%2Fwww.superdatascience.com%2F635&amp;token=dfc36e-1-1670922502924">www.superdatascience.com/635</a></p>]]>
      </content:encoded>
      <itunes:duration>4711</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11862973]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6068249023.mp3?updated=1716819172" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>634: Model Error Analysis</title>
      <description>Data scientist and author Serg Masís joins Jon Krohn for a Five-Minute Friday episode that touches on model error analysis. Learn how this process can improve your models and discover a helpful tool that expedites this critical process.
Additional materials: www.superdatascience.com/634
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 09 Dec 2022 12:00:00 -0000</pubDate>
      <itunes:title>634: Model Error Analysis</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8196a814-1c32-11ef-9765-5f0d10d3bdf0/image/7ec32c9e9a9c9cc54dd738130110b18c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Data scientist and author Serg Masís joins Jon Krohn for a Five-Minute Friday episode that touches on model error analysis. Learn how this process can improve your models and discover a helpful tool that expedites this critical process.Additional materials: www.superdatascience.com/634Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Data scientist and author Serg Masís joins Jon Krohn for a Five-Minute Friday episode that touches on model error analysis. Learn how this process can improve your models and discover a helpful tool that expedites this critical process.
Additional materials: www.superdatascience.com/634
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Data scientist and author Serg Masís joins Jon Krohn for a Five-Minute Friday episode that touches on model error analysis. Learn how this process can improve your models and discover a helpful tool that expedites this critical process.</p><p>Additional materials: <a href="https://www.superdatascience.com/634">www.superdatascience.com/634</a><br><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>416</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11823001]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6564755536.mp3?updated=1716819172" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>633: Responsible Decentralized Intelligence</title>
      <description>This week's episode is all about Responsible Decentralized Intelligence as award-winning professor and tech entrepreneur, Dawn Song, joins Jon Krohn to help us explore this exciting topic in-depth.
This episode is brought to you by Iterative (iterative.ai), your mission control center for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• What is decentralized intelligence? [3:46]• Dawn’s Responsible Data Economy collaboration with Meta AI [11:31]• How homomorphic encryption, differential privacy, and multi-party computation can work together [16:22]• How PrivateSQL makes differential privacy easy to use [22:54]• The relationship between deep learning and federated learning [37:55]• What is a responsible data economy [42:13]
Additional materials: www.superdatascience.com/633</description>
      <pubDate>Tue, 06 Dec 2022 12:00:00 -0000</pubDate>
      <itunes:title>633: Responsible Decentralized Intelligence</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/820c6360-1c32-11ef-9765-474dcc2c8921/image/f0b3c720be0dc08a57a4581a1198351e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>This week's episode is all about Responsible Decentralized Intelligence as award-winning professor and tech entrepreneur, Dawn Song, joins Jon Krohn to help us explore this exciting topic in-depth.This episode is brought to you by Iterative (iterative.ai), your mission control center for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What is decentralized intelligence? [3:46...</itunes:subtitle>
      <itunes:summary>This week's episode is all about Responsible Decentralized Intelligence as award-winning professor and tech entrepreneur, Dawn Song, joins Jon Krohn to help us explore this exciting topic in-depth.
This episode is brought to you by Iterative (iterative.ai), your mission control center for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• What is decentralized intelligence? [3:46]• Dawn’s Responsible Data Economy collaboration with Meta AI [11:31]• How homomorphic encryption, differential privacy, and multi-party computation can work together [16:22]• How PrivateSQL makes differential privacy easy to use [22:54]• The relationship between deep learning and federated learning [37:55]• What is a responsible data economy [42:13]
Additional materials: www.superdatascience.com/633</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week's episode is all about Responsible Decentralized Intelligence as award-winning professor and tech entrepreneur, Dawn Song, joins Jon Krohn to help us explore this exciting topic in-depth.</p><p>This episode is brought to you by Iterative (<a href="https://iterative.ai/">iterative.ai</a>), your mission control center for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="http://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br></p><p>In this episode you will learn:<br>• What is decentralized intelligence? [3:46]<br>• Dawn’s Responsible Data Economy collaboration with Meta AI [11:31]<br>• How homomorphic encryption, differential privacy, and multi-party computation can work together [16:22]<br>• How PrivateSQL makes differential privacy easy to use [22:54]<br>• The relationship between deep learning and federated learning [37:55]<br>• What is a responsible data economy [42:13]<br><br></p><p>Additional materials: <a href="https://www.superdatascience.com/633">www.superdatascience.com/633</a></p>]]>
      </content:encoded>
      <itunes:duration>3236</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11822639]]></guid>
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    </item>
    <item>
      <title>632: Liquid Neural Networks</title>
      <description>Liquid neural networks are a type of bio-inspired machine learning set to make a huge impact in the field of data analytics. On this week’s Five-Minute Friday, Jon Krohn speaks with Pathway.com Co-Founder Dr. Adrian Kosowski about the development of this new type of network and what this means for the future of data.Additional materials: www.superdatascience.com/630Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 02 Dec 2022 12:00:00 -0000</pubDate>
      <itunes:title>632: Liquid Neural Networks</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/83ec998e-1c32-11ef-9765-538d27a53584/image/a904f18c1cc154b835738d8672cfe15d.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Liquid neural networks are a type of bio-inspired machine learning set to make a huge impact in the field of data analytics. On this week’s Five-Minute Friday, Jon Krohn speaks with Pathway.com Co-Founder Dr. Adrian Kosowski about the development of this new type of network and what this means for the future of data.Additional materials: www.superdatascience.com/630Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Liquid neural networks are a type of bio-inspired machine learning set to make a huge impact in the field of data analytics. On this week’s Five-Minute Friday, Jon Krohn speaks with Pathway.com Co-Founder Dr. Adrian Kosowski about the development of this new type of network and what this means for the future of data.Additional materials: www.superdatascience.com/630Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Liquid neural networks are a type of bio-inspired machine learning set to make a huge impact in the field of data analytics. On this week’s Five-Minute Friday, Jon Krohn speaks with Pathway.com Co-Founder Dr. Adrian Kosowski about the development of this new type of network and what this means for the future of data.<br><br>Additional materials: <a href="https://www.superdatascience.com/632">www.superdatascience.com/630</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>646</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11752957]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9775088707.mp3?updated=1716819176" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>631: Data Analytics Career Orientation</title>
      <description>Interview success, funny memes about data, and stakeholder management: Jon Krohn speaks with Luke Barousse, a full-time YouTuber who produces content to help aspiring data scientists. First, Jon and his guest go underwater to find out how data science can help you while working on a submarine before they emerge onto Luke’s YouTube channel. There, he discloses all the helpful hacks for data science beginners—with a generous helping of humor! As founder of MacroFit, a data-driven company that helps with meal planning, Luke is no stranger to portion sizes…
This episode is brought to you by Iterative (iterative.ai), your mission control center for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• Where Luke gets his inspiration for making YouTube videos [04:46]• How Luke got into creating comedy skits [08:21]• Luke’s favorite Python libraries for web scraping [14:41]• Incorrect assumptions that aspiring data scientists make [15:54]• The best time to use Power BI [19:15]• The biggest mistakes Luke made in his data science career [22:17]• Luke’s experience as a submariner and how it helped him in his data analyst career [38:13]• The must-have skills for entry-level data analyst roles [43:46]
Additional materials: www.superdatascience.com/631</description>
      <pubDate>Tue, 29 Nov 2022 12:00:00 -0000</pubDate>
      <itunes:title>631: Data Analytics Career Orientation</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/84638ae4-1c32-11ef-9765-f35fd50321ca/image/5d8b500e8f456c3958c32bfd0a3e098e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Interview success, funny memes about data, and stakeholder management: Jon Krohn speaks with Luke Barousse, a full-time YouTuber who produces content to help aspiring data scientists. First, Jon and his guest go underwater to find out how data science can help you while working on a submarine before they emerge onto Luke’s YouTube channel. There, he discloses all the helpful hacks for data science beginners—with a generous helping of humor! As founder of MacroFit, a data-driven company that h...</itunes:subtitle>
      <itunes:summary>Interview success, funny memes about data, and stakeholder management: Jon Krohn speaks with Luke Barousse, a full-time YouTuber who produces content to help aspiring data scientists. First, Jon and his guest go underwater to find out how data science can help you while working on a submarine before they emerge onto Luke’s YouTube channel. There, he discloses all the helpful hacks for data science beginners—with a generous helping of humor! As founder of MacroFit, a data-driven company that helps with meal planning, Luke is no stranger to portion sizes…
This episode is brought to you by Iterative (iterative.ai), your mission control center for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• Where Luke gets his inspiration for making YouTube videos [04:46]• How Luke got into creating comedy skits [08:21]• Luke’s favorite Python libraries for web scraping [14:41]• Incorrect assumptions that aspiring data scientists make [15:54]• The best time to use Power BI [19:15]• The biggest mistakes Luke made in his data science career [22:17]• Luke’s experience as a submariner and how it helped him in his data analyst career [38:13]• The must-have skills for entry-level data analyst roles [43:46]
Additional materials: www.superdatascience.com/631</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Interview success, funny memes about data, and stakeholder management: Jon Krohn speaks with Luke Barousse, a full-time YouTuber who produces content to help aspiring data scientists. First, Jon and his guest go underwater to find out how data science can help you while working on a submarine before they emerge onto Luke’s YouTube channel. There, he discloses all the helpful hacks for data science beginners—with a generous helping of humor! As founder of MacroFit, a data-driven company that helps with meal planning, Luke is no stranger to portion sizes…</p><p>This episode is brought to you by Iterative (<a href="https://iterative.ai/">iterative.ai</a>), your mission control center for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="http://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br></p><p>In this episode you will learn:<br>• Where Luke gets his inspiration for making YouTube videos [04:46]<br>• How Luke got into creating comedy skits [08:21]<br>• Luke’s favorite Python libraries for web scraping [14:41]<br>• Incorrect assumptions that aspiring data scientists make [15:54]<br>• The best time to use Power BI [19:15]<br>• The biggest mistakes Luke made in his data science career [22:17]<br>• Luke’s experience as a submariner and how it helped him in his data analyst career [38:13]<br>• The must-have skills for entry-level data analyst roles [43:46]<br><br></p><p>Additional materials: <a href="https://www.superdatascience.com/631">www.superdatascience.com/631</a></p>]]>
      </content:encoded>
      <itunes:duration>3532</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11772016]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2496538380.mp3?updated=1716819177" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>630: Resilient Machine Learning</title>
      <description>Jon Krohn sits with Dr. Dan Shiebler at the Open Data Science Conference (ODSC) to dive into the critical components of building resilient machine learning.
Additional materials: www.superdatascience.com/630
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 25 Nov 2022 12:00:00 -0000</pubDate>
      <itunes:title>630: Resilient Machine Learning</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/84d81238-1c32-11ef-9765-db78607b8efe/image/77e542106f1b3d93f4fb945d503a18bc.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn sits with Dr. Dan Shiebler at the Open Data Science Conference (ODSC) to dive into the critical components of building resilient machine learning.Additional materials: www.superdatascience.com/630Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Jon Krohn sits with Dr. Dan Shiebler at the Open Data Science Conference (ODSC) to dive into the critical components of building resilient machine learning.
Additional materials: www.superdatascience.com/630
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn sits with Dr. Dan Shiebler at the Open Data Science Conference (ODSC) to dive into the critical components of building resilient machine learning.</p><p>Additional materials: <a href="https://www.superdatascience.com/630">www.superdatascience.com/630</a><br><br></p><p>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>372</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11749460]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4296320198.mp3?updated=1716819179" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>629: Software for Efficient Data Science</title>
      <description>Has the term developer advocacy ever left you scratching your head? This week data science developer advocate for JetBrains, Dr. Jodie Burchell, joins Jon Krohn to shed light on her responsibilities and why it's a role you might want to consider. Jodie also dives into building reproducible data science workflows and the keys to working effectively with real-world data.This episode is brought to you by Iterative (iterative.ai), the open-source company behind DVC. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Jodie’s background in psychology [2:22]• Jodie's tips for real-world data preparation [6:55]• Tour JetBrains' developer tools: PyCharm, DataSpell and Datalore [10:41]• What is a data science developer advocate? [38:47]• The books that Jodie's co-authored [46:18]• Jodie's favorite Python libraries [58:33]• How to have reproducible data science workflows [1:01:36]Additional materials: www.superdatascience.com/629</description>
      <pubDate>Tue, 22 Nov 2022 12:00:00 -0000</pubDate>
      <itunes:title>629: Software for Efficient Data Science</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8557587c-1c32-11ef-9765-533c126a9ec3/image/50e4cd50e7193cf42fa5143c2d9498e9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Has the term developer advocacy ever left you scratching your head? This week data science developer advocate for JetBrains, Dr. Jodie Burchell, joins Jon Krohn to shed light on her responsibilities and why it's a role you might want to consider. Jodie also dives into building reproducible data science workflows and the keys to working effectively with real-world data.This episode is brought to you by Iterative (iterative.ai), the open-source company behind DVC. Interested in sponsoring a Sup...</itunes:subtitle>
      <itunes:summary>Has the term developer advocacy ever left you scratching your head? This week data science developer advocate for JetBrains, Dr. Jodie Burchell, joins Jon Krohn to shed light on her responsibilities and why it's a role you might want to consider. Jodie also dives into building reproducible data science workflows and the keys to working effectively with real-world data.This episode is brought to you by Iterative (iterative.ai), the open-source company behind DVC. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Jodie’s background in psychology [2:22]• Jodie's tips for real-world data preparation [6:55]• Tour JetBrains' developer tools: PyCharm, DataSpell and Datalore [10:41]• What is a data science developer advocate? [38:47]• The books that Jodie's co-authored [46:18]• Jodie's favorite Python libraries [58:33]• How to have reproducible data science workflows [1:01:36]Additional materials: www.superdatascience.com/629</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Has the term developer advocacy ever left you scratching your head? This week data science developer advocate for JetBrains, Dr. Jodie Burchell, joins Jon Krohn to shed light on her responsibilities and why it's a role you might want to consider. Jodie also dives into building reproducible data science workflows and the keys to working effectively with real-world data.<br><br>This episode is brought to you by Iterative (<a href="https://iterative.ai">iterative.ai</a>), the open-source company behind DVC. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="http://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Jodie’s background in psychology [2:22]<br>• Jodie's tips for real-world data preparation [6:55]<br>• Tour JetBrains' developer tools: PyCharm, DataSpell and Datalore [10:41]<br>• What is a data science developer advocate? [38:47]<br>• The books that Jodie's co-authored [46:18]<br>• Jodie's favorite Python libraries [58:33]<br>• How to have reproducible data science workflows [1:01:36]<br><br>Additional materials: <a href="https://www.superdatascience.com/629">www.superdatascience.com/629</a></p>]]>
      </content:encoded>
      <itunes:duration>4276</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11742129]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4526099092.mp3?updated=1716819179" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>628: The Critical Human Element of Successful A.I. Deployments</title>
      <description>On this episode of Five-Minute Friday, Jon Krohn speaks from the Open Data Science Conference (ODSC). There, he sits down with author and data scientist Keith McCormick to discuss the conference’s key trend: learning the importance of trust in the relationship between humans and algorithms.
Additional materials: www.superdatascience.com/628
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 18 Nov 2022 12:00:00 -0000</pubDate>
      <itunes:title>628: The Critical Human Element of Successful A.I. Deployments</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/85cb0632-1c32-11ef-9765-fb39dbdfa8b0/image/3bb80733724ef89921438635ef5f5931.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>On this episode of Five-Minute Friday, Jon Krohn speaks from the Open Data Science Conference (ODSC). There, he sits down with author and data scientist Keith McCormick to discuss the conference’s key trend: learning the importance of trust in the relationship between humans and algorithms.Additional materials: www.superdatascience.com/628Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>On this episode of Five-Minute Friday, Jon Krohn speaks from the Open Data Science Conference (ODSC). There, he sits down with author and data scientist Keith McCormick to discuss the conference’s key trend: learning the importance of trust in the relationship between humans and algorithms.
Additional materials: www.superdatascience.com/628
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On this episode of Five-Minute Friday, Jon Krohn speaks from the Open Data Science Conference (ODSC). There, he sits down with author and data scientist Keith McCormick to discuss the conference’s key trend: learning the importance of trust in the relationship between humans and algorithms.</p><p>Additional materials: <a href="https://www.superdatascience.com/628">www.superdatascience.com/628</a></p><p><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>306</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11712565]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9170201022.mp3?updated=1716819180" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>627: AutoML: Automated Machine Learning</title>
      <description>Jon Krohn speaks with Erin LeDell, H2O.ai’s Chief Machine Learning Scientist. They investigate how AutoML supercharges the data science process, the importance of admissible machine learning for an equitable data-driven future, and what Erin’s group Women in Machine Learning &amp; Data Science is doing to increase inclusivity and representation in the field.
This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• The H2O AutoML platform Erin developed [07:43]• How genetic algorithms work [19:17]• Why you should consider using AutoML? [28:15]• The “No Free Lunch Theorem” [33:45]• What Admissible Machine Learning is [37:59]• What motivated Erin to found R-Ladies Global and Women in Machine Learning and Data Science [47:00]• How to address bias in datasets [57:03]
Additional materials: www.superdatascience.com/627</description>
      <pubDate>Tue, 15 Nov 2022 12:00:00 -0000</pubDate>
      <itunes:title>627: AutoML: Automated Machine Learning</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/86a2885a-1c32-11ef-9765-93da7d90ca78/image/eac8cee577c06a76083ada6a22fe3e68.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn speaks with Erin LeDell, H2O.ai’s Chief Machine Learning Scientist. They investigate how AutoML supercharges the data science process, the importance of admissible machine learning for an equitable data-driven future, and what Erin’s group Women in Machine Learning &amp;amp; Data Science is doing to increase inclusivity and representation in the field.This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform. Interested in sponsoring a Sup...</itunes:subtitle>
      <itunes:summary>Jon Krohn speaks with Erin LeDell, H2O.ai’s Chief Machine Learning Scientist. They investigate how AutoML supercharges the data science process, the importance of admissible machine learning for an equitable data-driven future, and what Erin’s group Women in Machine Learning &amp; Data Science is doing to increase inclusivity and representation in the field.
This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• The H2O AutoML platform Erin developed [07:43]• How genetic algorithms work [19:17]• Why you should consider using AutoML? [28:15]• The “No Free Lunch Theorem” [33:45]• What Admissible Machine Learning is [37:59]• What motivated Erin to found R-Ladies Global and Women in Machine Learning and Data Science [47:00]• How to address bias in datasets [57:03]
Additional materials: www.superdatascience.com/627</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn speaks with Erin LeDell, H2O.ai’s Chief Machine Learning Scientist. They investigate how AutoML supercharges the data science process, the importance of admissible machine learning for an equitable data-driven future, and what Erin’s group Women in Machine Learning &amp; Data Science is doing to increase inclusivity and representation in the field.</p><p>This episode is brought to you by Datalore (<a href="https://datalore.online/SDS">datalore.online/SDS</a>), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p><p><br>In this episode you will learn:<br>• The H2O AutoML platform Erin developed [07:43]<br>• How genetic algorithms work [19:17]<br>• Why you should consider using AutoML? [28:15]<br>• The “No Free Lunch Theorem” [33:45]<br>• What Admissible Machine Learning is [37:59]<br>• What motivated Erin to found R-Ladies Global and Women in Machine Learning and Data Science [47:00]<br>• How to address bias in datasets [57:03]</p><p><br>Additional materials: <a href="https://www.superdatascience.com/627">www.superdatascience.com/627</a></p>]]>
      </content:encoded>
      <itunes:duration>5457</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11696921]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3099651027.mp3?updated=1716819181" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>626: Subword Tokenization with Byte-Pair Encoding</title>
      <description>Word tokenization, character tokenization and subword tokenization go head-to-head this week as Jon Krohn delivers a mini-bootcamp on the NLP-related process.
Additional materials: www.superdatascience.com/626
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 11 Nov 2022 12:00:00 -0000</pubDate>
      <itunes:title>626: Subword Tokenization with Byte-Pair Encoding</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/871f6442-1c32-11ef-9765-afb51b7f7917/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Word tokenization, character tokenization and subword tokenization go head-to-head this week as Jon Krohn delivers a mini-bootcamp on the NLP-related process.Additional materials: www.superdatascience.com/626Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Word tokenization, character tokenization and subword tokenization go head-to-head this week as Jon Krohn delivers a mini-bootcamp on the NLP-related process.
Additional materials: www.superdatascience.com/626
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Word tokenization, character tokenization and subword tokenization go head-to-head this week as Jon Krohn delivers a mini-bootcamp on the NLP-related process.</p><p>Additional materials: <a href="https://www.superdatascience.com/626">www.superdatascience.com/626</a></p><p><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://JonKrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>402</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11668506]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8550541079.mp3?updated=1716819195" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>625: Analyzing Blockchain Data and Cryptocurrencies</title>
      <description>Chainalysis' Director of Research, Kim Grauer joins Jon Krohn to explore the state of economic-data analysis on the blockchain.

This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Kim's role as Director of Research [5:02]
• The unique real-time economic-data analytics of the blockchain [13:07]
• How ML can predict patterns of criminal activity on the blockchain [18:56]
• Interesting use cases of ML for crime investigation [29:37]
• The tools and approaches Kim uses daily [47:44]
• The future of crypto, blockchains, and data science [50:54]
• Why a data science bootcamp helps people break into data science [53:42]

Additional materials: www.superdatascience.com/625</description>
      <pubDate>Tue, 08 Nov 2022 12:00:00 -0000</pubDate>
      <itunes:title>625: Analyzing Blockchain Data and Cryptocurrencies</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/879b792e-1c32-11ef-9765-a3e7e7d2ded2/image/b6e24042b9cc1f9310831b1ef86a3714.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Chainalysis' Director of Research, Kim Grauer joins Jon Krohn to explore the state of economic-data analysis on the blockchain.</itunes:subtitle>
      <itunes:summary>Chainalysis' Director of Research, Kim Grauer joins Jon Krohn to explore the state of economic-data analysis on the blockchain.

This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Kim's role as Director of Research [5:02]
• The unique real-time economic-data analytics of the blockchain [13:07]
• How ML can predict patterns of criminal activity on the blockchain [18:56]
• Interesting use cases of ML for crime investigation [29:37]
• The tools and approaches Kim uses daily [47:44]
• The future of crypto, blockchains, and data science [50:54]
• Why a data science bootcamp helps people break into data science [53:42]

Additional materials: www.superdatascience.com/625</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Chainalysis' Director of Research, Kim Grauer joins Jon Krohn to explore the state of economic-data analysis on the blockchain.</p><p><br></p><p>This episode is brought to you by Datalore (<a href="https://datalore.online/SDS">datalore.online/SDS</a>), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• Kim's role as Director of Research [5:02]</p><p>• The unique real-time economic-data analytics of the blockchain [13:07]</p><p>• How ML can predict patterns of criminal activity on the blockchain [18:56]</p><p>• Interesting use cases of ML for crime investigation [29:37]</p><p>• The tools and approaches Kim uses daily [47:44]</p><p>• The future of crypto, blockchains, and data science [50:54]</p><p>• Why a data science bootcamp helps people break into data science [53:42]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/625">www.superdatascience.com/625</a></p>]]>
      </content:encoded>
      <itunes:duration>3840</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11652995]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1914801441.mp3?updated=1724750398" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>624: Imagen Video: Incredible Text-to-Video Generation</title>
      <description>On this week’s Five-Minute Friday, Jon Krohn investigates Imagen Video, Google’s latest model for making video art out of text prompts. Recently published, this text-to-image converter now competes against already strong competitors on the scene like DALL-E 2. Unlike DALL-E 2, it returns moving images or time-based media. Tune in to hear Jon explain the technology that made Imagen Video the tech giant’s shiniest new tool to date.
Additional materials: www.superdatascience.com/624
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 04 Nov 2022 11:00:00 -0000</pubDate>
      <itunes:title>624: Imagen Video: Incredible Text-to-Video Generation</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/880e8662-1c32-11ef-9765-8b089fd9d7f9/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>On this week’s Five-Minute Friday, Jon Krohn investigates Imagen Video, Google’s latest model for making video art out of text prompts. Recently published, this text-to-image converter now competes against already strong competitors on the scene like DALL-E 2. Unlike DALL-E 2, it returns moving images or time-based media. Tune in to hear Jon explain the technology that made Imagen Video the tech giant’s shiniest new tool to date.Additional materials: www.superdatascience.com/624Interested in ...</itunes:subtitle>
      <itunes:summary>On this week’s Five-Minute Friday, Jon Krohn investigates Imagen Video, Google’s latest model for making video art out of text prompts. Recently published, this text-to-image converter now competes against already strong competitors on the scene like DALL-E 2. Unlike DALL-E 2, it returns moving images or time-based media. Tune in to hear Jon explain the technology that made Imagen Video the tech giant’s shiniest new tool to date.
Additional materials: www.superdatascience.com/624
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On this week’s Five-Minute Friday, Jon Krohn investigates Imagen Video, Google’s latest model for making video art out of text prompts. Recently published, this text-to-image converter now competes against already strong competitors on the scene like DALL-E 2. Unlike DALL-E 2, it returns moving images or time-based media. Tune in to hear Jon explain the technology that made Imagen Video the tech giant’s shiniest new tool to date.</p><p>Additional materials: <a href="https://www.superdatascience.com/624">www.superdatascience.com/624</a></p><p><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>447</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11623230]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1099284495.mp3?updated=1716819183" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>623: Data Analyst, Data Scientist, and Data Engineer Career Paths</title>
      <description>Jon Krohn speaks with Shashank Kalanithi, the man who makes a sport out of YouTube and data analytics out of sports. Listen in as he talks about how he got started producing YouTube videos on data science, the essential differences between data science roles, and how data could shape the future of the sports industry.
This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• What motivated Shashank to start his YouTube channel [04:31]• The must-have technical skills for every data scientist [16:59]• The soft skills needed for data science [20:52]• The differences between data analyst, data scientist and data engineer [24:26]• How data are currently being applied in the sports industry [38:38]• The “needs” divide between digital native and traditional companies [45:34]
Additional materials: www.superdatascience.com/623</description>
      <pubDate>Tue, 01 Nov 2022 11:00:00 -0000</pubDate>
      <itunes:title>623: Data Analyst, Data Scientist, and Data Engineer Career Paths</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/88861812-1c32-11ef-9765-8f7eb6b5cc8c/image/47036d9b169c5012ad03143780a1d8a9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn speaks with Shashank Kalanithi, the man who makes a sport out of YouTube and data analytics out of sports. Listen in as he talks about how he got started producing YouTube videos on data science, the essential differences between data science roles, and how data could shape the future of the sports industry.This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonK...</itunes:subtitle>
      <itunes:summary>Jon Krohn speaks with Shashank Kalanithi, the man who makes a sport out of YouTube and data analytics out of sports. Listen in as he talks about how he got started producing YouTube videos on data science, the essential differences between data science roles, and how data could shape the future of the sports industry.
This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• What motivated Shashank to start his YouTube channel [04:31]• The must-have technical skills for every data scientist [16:59]• The soft skills needed for data science [20:52]• The differences between data analyst, data scientist and data engineer [24:26]• How data are currently being applied in the sports industry [38:38]• The “needs” divide between digital native and traditional companies [45:34]
Additional materials: www.superdatascience.com/623</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn speaks with Shashank Kalanithi, the man who makes a sport out of YouTube and data analytics out of sports. Listen in as he talks about how he got started producing YouTube videos on data science, the essential differences between data science roles, and how data could shape the future of the sports industry.</p><p>This episode is brought to you by Datalore (<a href="https://datalore.online/SDS">datalore.online/SDS</a>), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br></p><p>In this episode you will learn:<br>• What motivated Shashank to start his YouTube channel [04:31]<br>• The must-have technical skills for every data scientist [16:59]<br>• The soft skills needed for data science [20:52]<br>• The differences between data analyst, data scientist and data engineer [24:26]<br>• How data are currently being applied in the sports industry [38:38]<br>• The “needs” divide between digital native and traditional companies [45:34]</p><p><br>Additional materials: <a href="https://superdatascience.com/623">www.superdatascience.com/623</a></p>]]>
      </content:encoded>
      <itunes:duration>4277</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11607209]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8407362054.mp3?updated=1716819185" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>622: Burnout: Causes and Solutions</title>
      <description>Is burnout on the horizon for you and your team? Christina Maslach, author of the new book "The Burnout Challenge," joins Jon Krohn to help us identify the common signs of looming burnout while steering us in a healthier direction.
Additional materials: www.superdatascience.com/622
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 28 Oct 2022 11:00:00 -0000</pubDate>
      <itunes:title>622: Burnout: Causes and Solutions</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/89572b64-1c32-11ef-9765-5b88d1c26d52/image/a787c00362026786cd56549161d57297.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Is burnout on the horizon for you and your team? Christina Maslach, author of the new book "The Burnout Challenge," joins Jon Krohn to help us identify the common signs of looming burnout while steering us in a healthier direction.Additional materials: www.superdatascience.com/622Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Is burnout on the horizon for you and your team? Christina Maslach, author of the new book "The Burnout Challenge," joins Jon Krohn to help us identify the common signs of looming burnout while steering us in a healthier direction.
Additional materials: www.superdatascience.com/622
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Is burnout on the horizon for you and your team? Christina Maslach, author of the new book "The Burnout Challenge," joins Jon Krohn to help us identify the common signs of looming burnout while steering us in a healthier direction.</p><p>Additional materials: <a href="https://www.superdatascience.com/622">www.superdatascience.com/622</a></p><p><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>1440</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11578207]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7304573009.mp3?updated=1716819189" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>621: Blockchains and Cryptocurrencies: Analytics and Data Applications</title>
      <description>Cryptocurrency and blockchain take center stage this week as we welcome Chief Economist at Chainalysis, Philip Gradwell, to discuss the data science applications in this exciting field.
This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform, by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts, and by Bunch (superdatascience.com/bunch), the AI driven leadership coach. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• What the role of a chief economist entails [5:50]• What are blockchains and cryptocurrency? [8:23]• How analyzing cryptocurrencies differs from established fiat currencies [12:48]• Philip's work at Chainalysis [26:07]• Philip's crypto data analytics pipeline [34:48]• How Philip develops data products for a wide range of users [46:18]• How the blockchain facilitates innovative computing and machine learning technologies [51:52]• What Philip looks for in the data scientists he hires [1:04:59]
Additional materials: www.superdatascience.com/621</description>
      <pubDate>Tue, 25 Oct 2022 11:00:00 -0000</pubDate>
      <itunes:title>621: Blockchains and Cryptocurrencies: Analytics and Data Applications</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8c40d10e-1c32-11ef-9765-0fb7da5caa83/image/2d67fa1d3fdf76238d7af9fa582c7bad.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Cryptocurrency and blockchain take center stage this week as we welcome Chief Economist at Chainalysis, Philip Gradwell, to discuss the data science applications in this exciting field.This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform, by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts, and by Bunch (superdatascience.com/bunch), the AI driven leadership coach. Interested in sponsoring a SuperDataScience Podcast episo...</itunes:subtitle>
      <itunes:summary>Cryptocurrency and blockchain take center stage this week as we welcome Chief Economist at Chainalysis, Philip Gradwell, to discuss the data science applications in this exciting field.
This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform, by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts, and by Bunch (superdatascience.com/bunch), the AI driven leadership coach. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• What the role of a chief economist entails [5:50]• What are blockchains and cryptocurrency? [8:23]• How analyzing cryptocurrencies differs from established fiat currencies [12:48]• Philip's work at Chainalysis [26:07]• Philip's crypto data analytics pipeline [34:48]• How Philip develops data products for a wide range of users [46:18]• How the blockchain facilitates innovative computing and machine learning technologies [51:52]• What Philip looks for in the data scientists he hires [1:04:59]
Additional materials: www.superdatascience.com/621</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Cryptocurrency and blockchain take center stage this week as we welcome Chief Economist at Chainalysis, Philip Gradwell, to discuss the data science applications in this exciting field.</p><p>This episode is brought to you by Datalore (<a href="https://datalore.online/SDS">datalore.online/SDS</a>), the collaborative data science platform, by Zencastr (<a href="http://zen.ai/sds">zen.ai/sds</a>), the easiest way to make high-quality podcasts, and by Bunch (<a href="https://superdatascience.com/bunch">superdatascience.com/bunch</a>), the AI driven leadership coach. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br></p><p>In this episode you will learn:<br>• What the role of a chief economist entails [5:50]<br>• What are blockchains and cryptocurrency? [8:23]<br>• How analyzing cryptocurrencies differs from established fiat currencies [12:48]<br>• Philip's work at Chainalysis [26:07]<br>• Philip's crypto data analytics pipeline [34:48]<br>• How Philip develops data products for a wide range of users [46:18]<br>• How the blockchain facilitates innovative computing and machine learning technologies [51:52]<br>• What Philip looks for in the data scientists he hires [1:04:59]<br><br></p><p>Additional materials: <a href="http://www.superdatascience.com/621">www.superdatascience.com/621</a></p>]]>
      </content:encoded>
      <itunes:duration>4310</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11563640]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2208407347.mp3?updated=1716819199" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>620: OpenAI Whisper: General-Purpose Speech Recognition</title>
      <description>What’s your secret to superb audio recognition? Whisper it. We mean that literally—Whisper is the latest in OpenAI’s growing suite of models aimed to benefit humanity. On this episode of Five-Minute Friday, host Jon Krohn reviews OpenAI’s latest model, Whisper. This tool will vastly improve the way human speech is recognized and converted to text. Jon gets under the hood to show how the team managed to get such a powerfully accurate recognition model. Listen to the episode and find out how you can try it yourself, for free!
Additional materials: www.superdatascience.com/620Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 21 Oct 2022 11:00:00 -0000</pubDate>
      <itunes:title>620: OpenAI Whisper: General-Purpose Speech Recognition</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/91b68fc0-1c32-11ef-9765-6bd867c867c8/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What’s your secret to superb audio recognition? Whisper it. We mean that literally—Whisper is the latest in OpenAI’s growing suite of models aimed to benefit humanity. On this episode of Five-Minute Friday, host Jon Krohn reviews OpenAI’s latest model, Whisper. This tool will vastly improve the way human speech is recognized and converted to text. Jon gets under the hood to show how the team managed to get such a powerfully accurate recognition model. Listen to the episode and find out how yo...</itunes:subtitle>
      <itunes:summary>What’s your secret to superb audio recognition? Whisper it. We mean that literally—Whisper is the latest in OpenAI’s growing suite of models aimed to benefit humanity. On this episode of Five-Minute Friday, host Jon Krohn reviews OpenAI’s latest model, Whisper. This tool will vastly improve the way human speech is recognized and converted to text. Jon gets under the hood to show how the team managed to get such a powerfully accurate recognition model. Listen to the episode and find out how you can try it yourself, for free!
Additional materials: www.superdatascience.com/620Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What’s your secret to superb audio recognition? Whisper it. We mean that literally—Whisper is the latest in OpenAI’s growing suite of models aimed to benefit humanity. On this episode of Five-Minute Friday, host Jon Krohn reviews OpenAI’s latest model, Whisper. This tool will vastly improve the way human speech is recognized and converted to text. Jon gets under the hood to show how the team managed to get such a powerfully accurate recognition model. Listen to the episode and find out how you can try it yourself, for free!</p><p>Additional materials: <a href="https://www.superdatascience.com/620">www.superdatascience.com/620</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>394</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11534867]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2753013072.mp3?updated=1716819200" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>619: Tools for Deploying Data Models into Production</title>
      <description>Jon Krohn speaks with Erik Bernhardsson, the man who invented Spotify’s original music recommendation system. They address the different ways to interview a data science candidate, how to deploy a data model into the cloud, and the approach he took that made Spotify go from a digital music startup to an AI-driven streaming giant.
This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform, by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts, and by Bunch (superdatascience.com/bunch), the AI driven leadership coach. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• The data problem that Erik’s company Modal Labs solves [04:32]• Erik’s prolific blogging career [09:15]• Opportunities for making data teams more efficient and productive [14:42]• Erik’s views on interviewing data scientists and software developers [20:18]• Erik’s tips and tricks for data science interviewees [31:35]• How Erik built Spotify’s original music recommendation system [38:58]• Applying vectors to other tools, and opportunities for working with vectors [47:45]• Using Annoy to search across vectors [50:57]• Building Python module Luigi for Spotify [55:20]• The tools that Erik loves to work with [1:06:23]
Additional materials: www.superdatascience.com/619</description>
      <pubDate>Tue, 18 Oct 2022 11:00:00 -0000</pubDate>
      <itunes:title>619: Tools for Deploying Data Models into Production</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9253b5fc-1c32-11ef-9765-4b21b925428b/image/96e54b63d5873014253408b2ac1ebe23.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn speaks with Erik Bernhardsson, the man who invented Spotify’s original music recommendation system. They address the different ways to interview a data science candidate, how to deploy a data model into the cloud, and the approach he took that made Spotify go from a digital music startup to an AI-driven streaming giant.This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform, by Zencastr (zen.ai/sds), the easiest way to make high-qual...</itunes:subtitle>
      <itunes:summary>Jon Krohn speaks with Erik Bernhardsson, the man who invented Spotify’s original music recommendation system. They address the different ways to interview a data science candidate, how to deploy a data model into the cloud, and the approach he took that made Spotify go from a digital music startup to an AI-driven streaming giant.
This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform, by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts, and by Bunch (superdatascience.com/bunch), the AI driven leadership coach. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• The data problem that Erik’s company Modal Labs solves [04:32]• Erik’s prolific blogging career [09:15]• Opportunities for making data teams more efficient and productive [14:42]• Erik’s views on interviewing data scientists and software developers [20:18]• Erik’s tips and tricks for data science interviewees [31:35]• How Erik built Spotify’s original music recommendation system [38:58]• Applying vectors to other tools, and opportunities for working with vectors [47:45]• Using Annoy to search across vectors [50:57]• Building Python module Luigi for Spotify [55:20]• The tools that Erik loves to work with [1:06:23]
Additional materials: www.superdatascience.com/619</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn speaks with Erik Bernhardsson, the man who invented Spotify’s original music recommendation system. They address the different ways to interview a data science candidate, how to deploy a data model into the cloud, and the approach he took that made Spotify go from a digital music startup to an AI-driven streaming giant.</p><p>This episode is brought to you by Datalore (<a href="https://datalore.online/SDS">datalore.online/SDS</a>), the collaborative data science platform, by Zencastr (<a href="http://zen.ai/sds">zen.ai/sds</a>), the easiest way to make high-quality podcasts, and by Bunch (<a href="https://superdatascience.com/bunch">superdatascience.com/bunch</a>), the AI driven leadership coach. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br></p><p>In this episode you will learn:<br>• The data problem that Erik’s company Modal Labs solves [04:32]<br>• Erik’s prolific blogging career [09:15]<br>• Opportunities for making data teams more efficient and productive [14:42]<br>• Erik’s views on interviewing data scientists and software developers [20:18]<br>• Erik’s tips and tricks for data science interviewees [31:35]<br>• How Erik built Spotify’s original music recommendation system [38:58]<br>• Applying vectors to other tools, and opportunities for working with vectors [47:45]<br>• Using Annoy to search across vectors [50:57]<br>• Building Python module Luigi for Spotify [55:20]<br>• The tools that Erik loves to work with [1:06:23]<br><br></p><p>Additional materials: <a href="https://www.superdatascience.com/619">www.superdatascience.com/619<br></a><br></p>]]>
      </content:encoded>
      <itunes:duration>4833</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11520790]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2427530189.mp3?updated=1716819200" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>618: The Joy of Atelic Activities</title>
      <description>Telic and atelic activities take center stage this week as Jon Krohn contemplates how our daily actions contribute to our overall sense of fulfillment.
Additional materials: www.superdatascience.com/618Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 14 Oct 2022 11:00:00 -0000</pubDate>
      <itunes:title>618: The Joy of Atelic Activities</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/92da220e-1c32-11ef-9765-b34dfcdd427e/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Telic and atelic activities take center stage this week as Jon Krohn contemplates how our daily actions contribute to our overall sense of fulfillment.Additional materials: www.superdatascience.com/618Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Telic and atelic activities take center stage this week as Jon Krohn contemplates how our daily actions contribute to our overall sense of fulfillment.
Additional materials: www.superdatascience.com/618Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Telic and atelic activities take center stage this week as Jon Krohn contemplates how our daily actions contribute to our overall sense of fulfillment.</p><p>Additional materials: <a href="https://www.superdatascience.com/618">www.superdatascience.com/618</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>225</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11492359]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3118987308.mp3?updated=1716819202" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>617: Causal Modeling and Sequence Data</title>
      <description>Dr. Sean Taylor, Co-Founder and Chief Scientist of Motif Analytics, joins Jon Krohn this week for yet another perspective on causal modeling. Tune in for a great conversation that covers large-scale causal experimentation, Information Systems, Bayesian parameter searches, and more.
This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform, and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• Sean on his new venture, Motif Analytics [4:23]• The relationship between causality and sequence analytics [15:26]• Sean's data science work at Lyft [22:21]• The key investments for large-scale causal experimentation [27:25]• Why and when is causal modeling helpful [32:34]• Causal modeling tools and recommendations [36:52]• Facebook's Prophet automation tool for forecasting [40:02]• What Sean looks for in data science hires [50:57]• Sean on his PhD in Information Systems [53:34]
Additional materials: www.superdatascience.com/617</description>
      <pubDate>Tue, 11 Oct 2022 11:00:00 -0000</pubDate>
      <itunes:title>617: Causal Modeling and Sequence Data</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/939d22f4-1c32-11ef-9765-7394cf9a0e5a/image/77676ecb06aefa9461f1d64eba2c7474.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Dr. Sean Taylor, Co-Founder and Chief Scientist of Motif Analytics, joins Jon Krohn this week for yet another perspective on causal modeling. Tune in for a great conversation that covers large-scale causal experimentation, Information Systems, Bayesian parameter searches, and more.This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform, and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a Supe...</itunes:subtitle>
      <itunes:summary>Dr. Sean Taylor, Co-Founder and Chief Scientist of Motif Analytics, joins Jon Krohn this week for yet another perspective on causal modeling. Tune in for a great conversation that covers large-scale causal experimentation, Information Systems, Bayesian parameter searches, and more.
This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform, and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• Sean on his new venture, Motif Analytics [4:23]• The relationship between causality and sequence analytics [15:26]• Sean's data science work at Lyft [22:21]• The key investments for large-scale causal experimentation [27:25]• Why and when is causal modeling helpful [32:34]• Causal modeling tools and recommendations [36:52]• Facebook's Prophet automation tool for forecasting [40:02]• What Sean looks for in data science hires [50:57]• Sean on his PhD in Information Systems [53:34]
Additional materials: www.superdatascience.com/617</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Dr. Sean Taylor, Co-Founder and Chief Scientist of Motif Analytics, joins Jon Krohn this week for yet another perspective on causal modeling. Tune in for a great conversation that covers large-scale causal experimentation, Information Systems, Bayesian parameter searches, and more.</p><p>This episode is brought to you by Datalore (<a href="https://datalore.online/SDS">datalore.online/SDS</a>), the collaborative data science platform, and by Zencastr (<a href="http://zen.ai/sds">zen.ai/sds</a>), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br></p><p>In this episode you will learn:<br>• Sean on his new venture, Motif Analytics [4:23]<br>• The relationship between causality and sequence analytics [15:26]<br>• Sean's data science work at Lyft [22:21]<br>• The key investments for large-scale causal experimentation [27:25]<br>• Why and when is causal modeling helpful [32:34]<br>• Causal modeling tools and recommendations [36:52]<br>• Facebook's Prophet automation tool for forecasting [40:02]<br>• What Sean looks for in data science hires [50:57]<br>• Sean on his PhD in Information Systems [53:34]<br><br></p><p>Additional materials: <a href="https://www.superdatascience.com/617">www.superdatascience.com/617</a></p>]]>
      </content:encoded>
      <itunes:duration>4233</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11477211]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5613117770.mp3?updated=1716819208" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>616: The Four Requirements for Expertise (beyond the 10,000 Hours)</title>
      <description>10,000 hours of study: Will it make you an expert? On this episode of Five-Minute Friday, host Jon Krohn explores whether increasing your skills is just a numbers game or if there is more to becoming proficient in your area of interest, whether that’s flute playing or data wrangling.
Additional materials: www.superdatascience.com/616Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 07 Oct 2022 11:00:00 -0000</pubDate>
      <itunes:title>616: The Four Requirements for Expertise (beyond the 10,000 Hours)</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/977ac782-1c32-11ef-9765-4b37d4ba08ae/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>10,000 hours of study: Will it make you an expert? On this episode of Five-Minute Friday, host Jon Krohn explores whether increasing your skills is just a numbers game or if there is more to becoming proficient in your area of interest, whether that’s flute playing or data wrangling.Additional materials: www.superdatascience.com/616Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>10,000 hours of study: Will it make you an expert? On this episode of Five-Minute Friday, host Jon Krohn explores whether increasing your skills is just a numbers game or if there is more to becoming proficient in your area of interest, whether that’s flute playing or data wrangling.
Additional materials: www.superdatascience.com/616Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>10,000 hours of study: Will it make you an expert? On this episode of Five-Minute Friday, host Jon Krohn explores whether increasing your skills is just a numbers game or if there is more to becoming proficient in your area of interest, whether that’s flute playing or data wrangling.</p><p>Additional materials: <a href="https://www.superdatascience.com/616">www.superdatascience.com/616</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>358</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11442186]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7709644360.mp3?updated=1716819209" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>615: How to Ace Your Data Science Interview</title>
      <description>“Being a great data scientist” and “being great at a data science interview” are not one and the same. Jon Krohn speaks with Nick Singh about how to strengthen your interviewee skills, and how you can even beat out more senior competition to land a coveted data science role.This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform, and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Nick’s inspiration for writing his bestselling book, Ace the Data Science Interview [06:21]• Why Nick believes in being a work generalist [12:37]• How DataLemur supports emerging data scientists for free [15:43]• Why Nick started DataLemur off the back of his book [21:31]• Portfolio essentials for any data scientist [22:36]• The three most common things data scientists get wrong at the interview [24:33]• How data science introverts can shift their mindset about self-promotion [37:58]• Great responses to end your data science interview on the right foot [42:21]Additional materials: www.superdatascience.com/615</description>
      <pubDate>Tue, 04 Oct 2022 11:00:00 -0000</pubDate>
      <itunes:title>615: How to Ace Your Data Science Interview</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/97fbd886-1c32-11ef-9765-1f14fc8e28d5/image/437f88bdc4748aa0935ff4dc80470820.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>“Being a great data scientist” and “being great at a data science interview” are not one and the same. Jon Krohn speaks with Nick Singh about how to strengthen your interviewee skills, and how you can even beat out more senior competition to land a coveted data science role.This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform, and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataSc...</itunes:subtitle>
      <itunes:summary>“Being a great data scientist” and “being great at a data science interview” are not one and the same. Jon Krohn speaks with Nick Singh about how to strengthen your interviewee skills, and how you can even beat out more senior competition to land a coveted data science role.This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform, and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Nick’s inspiration for writing his bestselling book, Ace the Data Science Interview [06:21]• Why Nick believes in being a work generalist [12:37]• How DataLemur supports emerging data scientists for free [15:43]• Why Nick started DataLemur off the back of his book [21:31]• Portfolio essentials for any data scientist [22:36]• The three most common things data scientists get wrong at the interview [24:33]• How data science introverts can shift their mindset about self-promotion [37:58]• Great responses to end your data science interview on the right foot [42:21]Additional materials: www.superdatascience.com/615</itunes:summary>
      <content:encoded>
        <![CDATA[<p>“Being a great data scientist” and “being great at a data science interview” are not one and the same. Jon Krohn speaks with Nick Singh about how to strengthen your interviewee skills, and how you can even beat out more senior competition to land a coveted data science role.<br><br>This episode is brought to you by Datalore (<a href="https://datalore.online/SDS">datalore.online/SDS</a>), the collaborative data science platform, and by Zencastr (<a href="http://zen.ai/sds">zen.ai/sds</a>), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.<br><br>In this episode you will learn:<br>• Nick’s inspiration for writing his bestselling book, Ace the Data Science Interview [06:21]<br>• Why Nick believes in being a work generalist [12:37]<br>• How DataLemur supports emerging data scientists for free [15:43]<br>• Why Nick started DataLemur off the back of his book [21:31]<br>• Portfolio essentials for any data scientist [22:36]<br>• The three most common things data scientists get wrong at the interview [24:33]<br>• How data science introverts can shift their mindset about self-promotion [37:58]<br>• Great responses to end your data science interview on the right foot [42:21]<br><br>Additional materials: <a href="https://www.superdatascience.com/615">www.superdatascience.com/615</a></p>]]>
      </content:encoded>
      <itunes:duration>3287</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11434296]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9454466039.mp3?updated=1716819210" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>614: Thriving on Information Overload</title>
      <description>World-leading futurist, author and entrepreneur, Ross Dawson joins us for the first of our extended Five-Minute Friday episodes. As information overwhelm becomes increasingly unavoidable, Dawson is here to share the five powers from his new book 'Thriving on Overload', to help us transition from overwhelm into abundance.  Additional materials: www.superdatascience.com/614Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 30 Sep 2022 11:00:00 -0000</pubDate>
      <itunes:title>614: Thriving on Information Overload</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9870daaa-1c32-11ef-9765-33f1023ae479/image/e6374c7e4782e47b13a6e47eb9c9ff87.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>World-leading futurist, author and entrepreneur, Ross Dawson joins us for the first of our extended Five-Minute Friday episodes. As information overwhelm becomes increasingly unavoidable, Dawson is here to share the five powers from his new book 'Thriving on Overload', to help us transition from overwhelm into abundance.  Additional materials: www.superdatascience.com/614Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>World-leading futurist, author and entrepreneur, Ross Dawson joins us for the first of our extended Five-Minute Friday episodes. As information overwhelm becomes increasingly unavoidable, Dawson is here to share the five powers from his new book 'Thriving on Overload', to help us transition from overwhelm into abundance.  Additional materials: www.superdatascience.com/614Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>World-leading futurist, author and entrepreneur, Ross Dawson joins us for the first of our extended Five-Minute Friday episodes. As information overwhelm becomes increasingly unavoidable, Dawson is here to share the five powers from his new book 'Thriving on Overload', to help us transition from overwhelm into abundance.  <br><br>Additional materials: <a href="https://www.superdatascience.com/614">www.superdatascience.com/614</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>2027</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11405589]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3182834266.mp3?updated=1716819211" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>613: Causal Machine Learning</title>
      <description>Dr. Emre Kiciman, Senior Principal Researcher at Microsoft Research joins the podcast to share his world-leading knowledge on causal machine learning.This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform, and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• What is causal machine learning? [5:52]• Causal machine learning vs correlational machine learning [10:10]• Emre’s DoWhy open-source library [16:17]• The four key steps of causal inference [21:24]• How and why Emre’s key steps of causal inference will impact ML [26:36]• Emre's thoughts on the future of causal inference and AGI [34:09]• How Emre leverages social media data to solve social problems [38:36]• What's next for Emre's research [46:02]• The software tools Emre highly recommends [55:16]• What he looks for in the data science researchers he hires [58:45]
Additional materials: www.superdatascience.com/613</description>
      <pubDate>Tue, 27 Sep 2022 11:00:00 -0000</pubDate>
      <itunes:title>613: Causal Machine Learning</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/98f63fec-1c32-11ef-9765-871c0502970e/image/bdc7a1fb79646b14c085964c6bb097f0.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Dr. Emre Kiciman, Senior Principal Researcher at Microsoft Research joins the podcast to share his world-leading knowledge on causal machine learning.This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform, and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What is causal...</itunes:subtitle>
      <itunes:summary>Dr. Emre Kiciman, Senior Principal Researcher at Microsoft Research joins the podcast to share his world-leading knowledge on causal machine learning.This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform, and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• What is causal machine learning? [5:52]• Causal machine learning vs correlational machine learning [10:10]• Emre’s DoWhy open-source library [16:17]• The four key steps of causal inference [21:24]• How and why Emre’s key steps of causal inference will impact ML [26:36]• Emre's thoughts on the future of causal inference and AGI [34:09]• How Emre leverages social media data to solve social problems [38:36]• What's next for Emre's research [46:02]• The software tools Emre highly recommends [55:16]• What he looks for in the data science researchers he hires [58:45]
Additional materials: www.superdatascience.com/613</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Dr. Emre Kiciman, Senior Principal Researcher at Microsoft Research joins the podcast to share his world-leading knowledge on causal machine learning.<br><br>This episode is brought to you by Datalore (<a href="https://datalore.online/SDS">datalore.online/SDS</a>), the collaborative data science platform, and by Zencastr (<a href="http://zen.ai/sds">zen.ai/sds</a>), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p><p>In this episode you will learn:<br>• What is causal machine learning? [5:52]<br>• Causal machine learning vs correlational machine learning [10:10]<br>• Emre’s DoWhy open-source library [16:17]<br>• The four key steps of causal inference [21:24]<br>• How and why Emre’s key steps of causal inference will impact ML [26:36]<br>• Emre's thoughts on the future of causal inference and AGI [34:09]<br>• How Emre leverages social media data to solve social problems [38:36]<br>• What's next for Emre's research [46:02]<br>• The software tools Emre highly recommends [55:16]<br>• What he looks for in the data science researchers he hires [58:45]</p><p><br>Additional materials: <a href="https://www.superdatascience.com/613">www.superdatascience.com/613</a></p>]]>
      </content:encoded>
      <itunes:duration>4314</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11391826]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5907797017.mp3?updated=1716819212" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>612: More Guests on Fridays</title>
      <description>Some exciting changes are coming to our popular Five-Minute Friday series! From longer episodes to new guests, tune in to hear what's next.
Additional materials: www.superdatascience.com/612Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 23 Sep 2022 11:00:00 -0000</pubDate>
      <itunes:title>612: More Guests on Fridays</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/99b05f26-1c32-11ef-9765-0f3694d6d80e/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Some exciting changes are coming to our popular Five-Minute Friday series! From longer episodes to new guests, tune in to hear what's next.Additional materials: www.superdatascience.com/612Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:subtitle>
      <itunes:summary>Some exciting changes are coming to our popular Five-Minute Friday series! From longer episodes to new guests, tune in to hear what's next.
Additional materials: www.superdatascience.com/612Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Some exciting changes are coming to our popular Five-Minute Friday series! From longer episodes to new guests, tune in to hear what's next.</p><p>Additional materials: <a href="https://www.superdatascience.com/612">www.superdatascience.com/612</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>199</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11365343]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8197148372.mp3?updated=1716819213" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>611: Open-Ended A.I.: Practical Applications for Humans and Machines</title>
      <description>Dr. Ken Stanley, a world-leading expert on Open-Ended AI and author of the genre-bending book "Why Greatness Cannot be Planned," joins Jon Krohn for a discussion that has the potential to shift your entire view on life. Tune in now to learn more about the complex topics of genetic ML algorithms, the Objective Paradox, Novelty Search, and so much more.This episode is brought to you by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• Ken on his book 'Why Greatness Cannot Be Planned" and the Objective Paradox [4:15]• The Novelty Search approach [24:14]• How open-ended algorithms like Novelty Search can be stopped from doing something potentially dangerous [1:00:00]• The future of open-ended AI and its intimate relationship with Artificial General Intelligence [1:07:34]• Ken's new company [1:13:34]• How AI could transform life for humans in the coming decades [1:18:29]
Additional materials: www.superdatascience.com/611</description>
      <pubDate>Tue, 20 Sep 2022 11:00:00 -0000</pubDate>
      <itunes:title>611: Open-Ended A.I.: Practical Applications for Humans and Machines</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9a2dc6d2-1c32-11ef-9765-3385265e1b38/image/80279d3a7671dc97fa8b082109814198.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Dr. Ken Stanley, a world-leading expert on Open-Ended AI and author of the genre-bending book "Why Greatness Cannot be Planned," joins Jon Krohn for a discussion that has the potential to shift your entire view on life. Tune in now to learn more about the complex topics of genetic ML algorithms, the Objective Paradox, Novelty Search, and so much more.This episode is brought to you by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScie...</itunes:subtitle>
      <itunes:summary>Dr. Ken Stanley, a world-leading expert on Open-Ended AI and author of the genre-bending book "Why Greatness Cannot be Planned," joins Jon Krohn for a discussion that has the potential to shift your entire view on life. Tune in now to learn more about the complex topics of genetic ML algorithms, the Objective Paradox, Novelty Search, and so much more.This episode is brought to you by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• Ken on his book 'Why Greatness Cannot Be Planned" and the Objective Paradox [4:15]• The Novelty Search approach [24:14]• How open-ended algorithms like Novelty Search can be stopped from doing something potentially dangerous [1:00:00]• The future of open-ended AI and its intimate relationship with Artificial General Intelligence [1:07:34]• Ken's new company [1:13:34]• How AI could transform life for humans in the coming decades [1:18:29]
Additional materials: www.superdatascience.com/611</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Dr. Ken Stanley, a world-leading expert on Open-Ended AI and author of the genre-bending book "Why Greatness Cannot be Planned," joins Jon Krohn for a discussion that has the potential to shift your entire view on life. Tune in now to learn more about the complex topics of genetic ML algorithms, the Objective Paradox, Novelty Search, and so much more.<br><br>This episode is brought to you by Zencastr (<a href="http://zen.ai/sds">zen.ai/sds</a>), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p><p>In this episode you will learn:<br>• Ken on his book 'Why Greatness Cannot Be Planned" and the Objective Paradox [4:15]<br>• The Novelty Search approach [24:14]<br>• How open-ended algorithms like Novelty Search can be stopped from doing something potentially dangerous [1:00:00]<br>• The future of open-ended AI and its intimate relationship with Artificial General Intelligence [1:07:34]<br>• Ken's new company [1:13:34]<br>• How AI could transform life for humans in the coming decades [1:18:29]</p><p><br>Additional materials: <a href="https://www.superdatascience.com/611">www.superdatascience.com/611</a></p>]]>
      </content:encoded>
      <itunes:duration>5458</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11350437]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6614956678.mp3?updated=1716819217" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>610: Who Dares Wins</title>
      <description>On this episode of Five-Minute Friday, host Jon Krohn shares his life motto, “Who dares, wins”, and the sentiment behind it: that to get anywhere in life, it is first necessary to try. Jon believes that “daring”, in this instance, simply means taking action when we have a good idea or when a new opportunity becomes available. Listen to the end for constructive advice on how to be daring in your own life right now.
Additional materials: www.superdatascience.com/610Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</description>
      <pubDate>Fri, 16 Sep 2022 11:00:00 -0000</pubDate>
      <itunes:title>610: Who Dares Wins</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9aa28378-1c32-11ef-9765-fb9f8febb6a4/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>On this episode of Five-Minute Friday, host Jon Krohn shares his life motto, “Who dares, wins”, and the sentiment behind it: that to get anywhere in life, it is first necessary to try. Jon believes that “daring”, in this instance, simply means taking action when we have a good idea or when a new opportunity becomes available. Listen to the end for constructive advice on how to be daring in your own life right now.Additional materials: www.superdatascience.com/610Interested in sponsoring a Sup...</itunes:subtitle>
      <itunes:summary>On this episode of Five-Minute Friday, host Jon Krohn shares his life motto, “Who dares, wins”, and the sentiment behind it: that to get anywhere in life, it is first necessary to try. Jon believes that “daring”, in this instance, simply means taking action when we have a good idea or when a new opportunity becomes available. Listen to the end for constructive advice on how to be daring in your own life right now.
Additional materials: www.superdatascience.com/610Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On this episode of Five-Minute Friday, host Jon Krohn shares his life motto, “Who dares, wins”, and the sentiment behind it: that to get anywhere in life, it is first necessary to try. Jon believes that “daring”, in this instance, simply means taking action when we have a good idea or when a new opportunity becomes available. Listen to the end for constructive advice on how to be daring in your own life right now.</p><p>Additional materials: <a href="https://www.superdatascience.com/610">www.superdatascience.com/610</a><br><br>Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p>]]>
      </content:encoded>
      <itunes:duration>346</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11323867]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2274430540.mp3?updated=1716819214" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>609: Data Mesh</title>
      <description>Jon Krohn speaks with Zhamak Dehghani, the empathetic technologist who coined the term “data mesh”. They explore what a data mesh is, and how its approach toward secure interconnectivity will help solve a roster of data-led business problems.

This episode is brought to you by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• The importance of data meshes [3:29]
• How standardizing database interfaces helps tech giants like Amazon [6:40]
• Current challenges with data meshes [9:33]
• How data meshes give users the freedom to work with data [17:09]
• The missing piece of the puzzle for data meshes [22:11]
• How data meshes connect with the metaverse and Web3 [33:18]
• The times when data meshes aren’t fit for purpose [42:24]

Additional materials: www.superdatascience.com/609</description>
      <pubDate>Tue, 13 Sep 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9b129b2c-1c32-11ef-9765-c3d4d37d595c/image/1884993fc4d7dd4aa5ea895534926d40.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn speaks with Zhamak Dehghani, the empathetic technologist who coined the term “data mesh”. They explore what a data mesh is, and how its approach toward secure interconnectivity will help solve a roster of data-led business problems.This episode is brought to you by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts.  Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will lear...</itunes:subtitle>
      <itunes:summary>Jon Krohn speaks with Zhamak Dehghani, the empathetic technologist who coined the term “data mesh”. They explore what a data mesh is, and how its approach toward secure interconnectivity will help solve a roster of data-led business problems.

This episode is brought to you by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• The importance of data meshes [3:29]
• How standardizing database interfaces helps tech giants like Amazon [6:40]
• Current challenges with data meshes [9:33]
• How data meshes give users the freedom to work with data [17:09]
• The missing piece of the puzzle for data meshes [22:11]
• How data meshes connect with the metaverse and Web3 [33:18]
• The times when data meshes aren’t fit for purpose [42:24]

Additional materials: www.superdatascience.com/609</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn speaks with Zhamak Dehghani, the empathetic technologist who coined the term “data mesh”. They explore what a data mesh is, and how its approach toward secure interconnectivity will help solve a roster of data-led business problems.</p><p><br></p><p>This episode is brought to you by Zencastr (<a href="http://zen.ai/sds">zen.ai/sds</a>), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href="https://www.jonkrohn.com/podcast">JonKrohn.com/podcast</a> for sponsorship information.</p><p><br></p><p>In this episode you will learn:</p><p>• The importance of data meshes [3:29]</p><p>• How standardizing database interfaces helps tech giants like Amazon [6:40]</p><p>• Current challenges with data meshes [9:33]</p><p>• How data meshes give users the freedom to work with data [17:09]</p><p>• The missing piece of the puzzle for data meshes [22:11]</p><p>• How data meshes connect with the metaverse and Web3 [33:18]</p><p>• The times when data meshes aren’t fit for purpose [42:24]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/609">www.superdatascience.com/609</a></p>]]>
      </content:encoded>
      <itunes:duration>3041</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11309134]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3198649105.mp3?updated=1720612183" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>608: Daily Habit #11: Assigning Deliverables</title>
      <description>Company meetings should be held to solve problems. So, why do we often feel like the weekly stand-ups and check-ins are a waste of everyone’s time? On this episode of Five-Minute Friday, host Jon Krohn brings his habit-making practices into the dreaded meeting room. Make every meeting productive and positive with his five-step method for assigning deliverables.

Additional materials: www.superdatascience.com/608</description>
      <pubDate>Fri, 09 Sep 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9b98de3a-1c32-11ef-9765-eb6a393c955b/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Company meetings should be held to solve problems. So, why do we often feel like the weekly stand-ups and check-ins are a waste of everyone’s time? On this episode of Five-Minute Friday, host Jon Krohn brings his habit-making practices into the dreaded meeting room. Make every meeting productive and positive with his five-step method for assigning deliverables.Additional materials: www.superdatascience.com/608</itunes:subtitle>
      <itunes:summary>Company meetings should be held to solve problems. So, why do we often feel like the weekly stand-ups and check-ins are a waste of everyone’s time? On this episode of Five-Minute Friday, host Jon Krohn brings his habit-making practices into the dreaded meeting room. Make every meeting productive and positive with his five-step method for assigning deliverables.

Additional materials: www.superdatascience.com/608</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Company meetings should be held to solve problems. So, why do we often feel like the weekly stand-ups and check-ins are a waste of everyone’s time? On this episode of Five-Minute Friday, host Jon Krohn brings his habit-making practices into the dreaded meeting room. Make every meeting productive and positive with his five-step method for assigning deliverables.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/608">www.superdatascience.com/608</a></p>]]>
      </content:encoded>
      <itunes:duration>233</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11282338]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8485943770.mp3?updated=1720612195" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>607: Inferring Causality</title>
      <description>We welcome Dr. Jennifer Hill, Professor of Applied Statistics at New York University, to the podcast this week for a discussion that covers causality, correlation, and inference in data science.

This episode is brought to you by Pachyderm, the leader in data versioning and MLOps pipelines and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts.
In this episode you will learn:
• How causality is central to all applications of data science [4:32]
• How correlation does not imply causation [11:12]
• What is counterfactual and how to design research to infer causality from the results confidently [21:18]
• Jennifer’s favorite Bayesian and ML tools for making causal inferences within code [29:14]
• Jennifer’s new graphical user interface for making causal inferences without the need to write code [38:41]
• Tips on learning more about causal inference [43:27]
• Why multilevel models are useful [49:21]

Additional materials: www.superdatascience.com/607</description>
      <pubDate>Tue, 06 Sep 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9c0f3f76-1c32-11ef-9765-db75e39856ac/image/e9d98e8b9e23d3c67e8d62c5df718a7b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>We welcome Dr. Jennifer Hill, Professor of Applied Statistics at New York University, to the podcast this week for a discussion that covers causality, correlation, and inference in data science.This episode is brought to you by Pachyderm, the leader in data versioning and MLOps pipelines and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts.In this episode you will learn:• How causality is central to all applications of data science [4:32]• How correlation does not imply...</itunes:subtitle>
      <itunes:summary>We welcome Dr. Jennifer Hill, Professor of Applied Statistics at New York University, to the podcast this week for a discussion that covers causality, correlation, and inference in data science.

This episode is brought to you by Pachyderm, the leader in data versioning and MLOps pipelines and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts.
In this episode you will learn:
• How causality is central to all applications of data science [4:32]
• How correlation does not imply causation [11:12]
• What is counterfactual and how to design research to infer causality from the results confidently [21:18]
• Jennifer’s favorite Bayesian and ML tools for making causal inferences within code [29:14]
• Jennifer’s new graphical user interface for making causal inferences without the need to write code [38:41]
• Tips on learning more about causal inference [43:27]
• Why multilevel models are useful [49:21]

Additional materials: www.superdatascience.com/607</itunes:summary>
      <content:encoded>
        <![CDATA[<p>We welcome Dr. Jennifer Hill, Professor of Applied Statistics at New York University, to the podcast this week for a discussion that covers causality, correlation, and inference in data science.</p><p><br></p><p>This episode is brought to you by Pachyderm, the leader in data versioning and MLOps pipelines and by Zencastr (<a href="http://zen.ai/sds">zen.ai/sds</a>), the easiest way to make high-quality podcasts.</p><p>In this episode you will learn:</p><p>• How causality is central to all applications of data science [4:32]</p><p>• How correlation does not imply causation [11:12]</p><p>• What is counterfactual and how to design research to infer causality from the results confidently [21:18]</p><p>• Jennifer’s favorite Bayesian and ML tools for making causal inferences within code [29:14]</p><p>• Jennifer’s new graphical user interface for making causal inferences without the need to write code [38:41]</p><p>• Tips on learning more about causal inference [43:27]</p><p>• Why multilevel models are useful [49:21]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/607">www.superdatascience.com/607</a></p>]]>
      </content:encoded>
      <itunes:duration>4392</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11237445]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4499579158.mp3?updated=1720612234" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>606: Four Thousand Weeks</title>
      <description>Four thousand weeks equate to roughly 80 years—a lifetime for those of us lucky enough to get there. What do we choose to do with this time? How can we stop ourselves from feeling like time in general is slipping away? In this episode, host Jon Krohn reviews the book Four Thousand Weeks: Time Management for Mortals by journalist Oliver Burkeman. He outlines how he has personally benefited from this essential reflection on our thirst for productivity and efficiency.

Additional materials: www.superdatascience.com/606</description>
      <pubDate>Fri, 02 Sep 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9c86160a-1c32-11ef-9765-0f4c4461a7b6/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Four thousand weeks equate to roughly 80 years—a lifetime for those of us lucky enough to get there. What do we choose to do with this time? How can we stop ourselves from feeling like time in general is slipping away? In this episode, host Jon Krohn reviews the book Four Thousand Weeks: Time Management for Mortals by journalist Oliver Burkeman. He outlines how he has personally benefited from this essential reflection on our thirst for productivity and efficiency.Additional materials: www.su...</itunes:subtitle>
      <itunes:summary>Four thousand weeks equate to roughly 80 years—a lifetime for those of us lucky enough to get there. What do we choose to do with this time? How can we stop ourselves from feeling like time in general is slipping away? In this episode, host Jon Krohn reviews the book Four Thousand Weeks: Time Management for Mortals by journalist Oliver Burkeman. He outlines how he has personally benefited from this essential reflection on our thirst for productivity and efficiency.

Additional materials: www.superdatascience.com/606</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Four thousand weeks equate to roughly 80 years—a lifetime for those of us lucky enough to get there. What do we choose to do with this time? How can we stop ourselves from feeling like time in general is slipping away? In this episode, host Jon Krohn reviews the book Four Thousand Weeks: Time Management for Mortals by journalist Oliver Burkeman. He outlines how he has personally benefited from this essential reflection on our thirst for productivity and efficiency.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/606">www.superdatascience.com/606</a></p>]]>
      </content:encoded>
      <itunes:duration>361</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11229086]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4245967575.mp3?updated=1720612245" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>605: Upskilling in Data Science and Machine Learning</title>
      <description>Kian Katanforoosh, CEO of Workera and Lecturer at Stanford University, joins Jon Krohn to reveal the tools, frameworks, and machine learning models that power his platform and remote team.

In this episode you will learn:
• What a skills intelligence platform is [3:11]
• How mentorship can be life-changing [7:45]
• Four ways that ML drives Kian’s skills intelligence platform [10:57]
• Kian's day-to-day responsibilities as the CEO of Workera [21:00]
• What frameworks and software languages Kian and his team selected for building their platform and why [24:20]
• What Kian looks for in the data scientists and software engineers he hires [31:48]
• Kian’s Stanford Deep Learning class and mentors [34:58]
• How Kian’s passion for EdTech began [42:47]

Additional materials: www.superdatascience.com/605</description>
      <pubDate>Tue, 30 Aug 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9d033c84-1c32-11ef-9765-af7c733a1c19/image/8e06346bde5cbb1b08914058b4deb305.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Kian Katanforoosh, CEO of Workera and Lecturer at Stanford University, joins Jon Krohn to reveal the tools, frameworks, and machine learning models that power his platform and remote team.In this episode you will learn:• What a skills intelligence platform is [3:11]• How mentorship can be life-changing [7:45]• Four ways that ML drives Kian’s skills intelligence platform [10:57]• Kian's day-to-day responsibilities as the CEO of Workera [21:00]• What frameworks and software languages Kian and h...</itunes:subtitle>
      <itunes:summary>Kian Katanforoosh, CEO of Workera and Lecturer at Stanford University, joins Jon Krohn to reveal the tools, frameworks, and machine learning models that power his platform and remote team.

In this episode you will learn:
• What a skills intelligence platform is [3:11]
• How mentorship can be life-changing [7:45]
• Four ways that ML drives Kian’s skills intelligence platform [10:57]
• Kian's day-to-day responsibilities as the CEO of Workera [21:00]
• What frameworks and software languages Kian and his team selected for building their platform and why [24:20]
• What Kian looks for in the data scientists and software engineers he hires [31:48]
• Kian’s Stanford Deep Learning class and mentors [34:58]
• How Kian’s passion for EdTech began [42:47]

Additional materials: www.superdatascience.com/605</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Kian Katanforoosh, CEO of Workera and Lecturer at Stanford University, joins Jon Krohn to reveal the tools, frameworks, and machine learning models that power his platform and remote team.</p><p><br></p><p>In this episode you will learn:</p><p>• What a skills intelligence platform is [3:11]</p><p>• How mentorship can be life-changing [7:45]</p><p>• Four ways that ML drives Kian’s skills intelligence platform [10:57]</p><p>• Kian's day-to-day responsibilities as the CEO of Workera [21:00]</p><p>• What frameworks and software languages Kian and his team selected for building their platform and why [24:20]</p><p>• What Kian looks for in the data scientists and software engineers he hires [31:48]</p><p>• Kian’s Stanford Deep Learning class and mentors [34:58]</p><p>• How Kian’s passion for EdTech began [42:47]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/605">www.superdatascience.com/605</a></p>]]>
      </content:encoded>
      <itunes:duration>3523</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11228062]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4447163736.mp3?updated=1720612259" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>604: Ignition: A Landmark Nuclear Fusion Milestone is Achieved</title>
      <description>During this week's Five-Minute Friday episode features, Jon explores recent groundbreaking developments in nuclear fusion –ignition–and what that signals for the future.

Additional materials: www.superdatascience.com/604</description>
      <pubDate>Fri, 26 Aug 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9f7de702-1c32-11ef-9765-33e2d2137d03/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>During this week's Five-Minute Friday episode features, Jon explores recent groundbreaking developments in nuclear fusion –ignition–and what that signals for the future.Additional materials: www.superdatascience.com/604</itunes:subtitle>
      <itunes:summary>During this week's Five-Minute Friday episode features, Jon explores recent groundbreaking developments in nuclear fusion –ignition–and what that signals for the future.

Additional materials: www.superdatascience.com/604</itunes:summary>
      <content:encoded>
        <![CDATA[<p>During this week's Five-Minute Friday episode features, Jon explores recent groundbreaking developments in nuclear fusion –ignition–and what that signals for the future.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/604">www.superdatascience.com/604</a></p>]]>
      </content:encoded>
      <itunes:duration>349</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11201582]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7140836022.mp3?updated=1720612270" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>603: Geospatial Data and Unconventional Routes into Data Careers</title>
      <description>Christina Stathopoulos, Analytical Lead for Waze and Adjunct Professor at IE Business School, joins the podcast to shed light on her work with geospatial data and how she nurtured an entire data career while abroad in Spain.

In this episode you will learn:
• Christina's tips on navigating an unconventional path into a data career [3:05]
• Geospatial data and open-source packages for working with it [10:08]
• Guidance to help women and other underrepresented groups to thrive in tech [22:28]
• The hard and soft skills most essential to success in a data role today [39:26]
• Christina’s #bookaweekchallenge and the top data-centric book recommendations [43:28]

Additional materials: www.superdatascience.com/603</description>
      <pubDate>Tue, 23 Aug 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a054788a-1c32-11ef-9765-2703f1896e44/image/84dbc0b7329d1d37e9647a8685dab0f0.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Christina Stathopoulos, Analytical Lead for Waze and Adjunct Professor at IE Business School, joins the podcast to shed light on her work with geospatial data and how she nurtured an entire data career while abroad in Spain.In this episode you will learn:• Christina's tips on navigating an unconventional path into a data career [3:05]• Geospatial data and open-source packages for working with it [10:08]• Guidance to help women and other underrepresented groups to thrive in tech [22:28]• The h...</itunes:subtitle>
      <itunes:summary>Christina Stathopoulos, Analytical Lead for Waze and Adjunct Professor at IE Business School, joins the podcast to shed light on her work with geospatial data and how she nurtured an entire data career while abroad in Spain.

In this episode you will learn:
• Christina's tips on navigating an unconventional path into a data career [3:05]
• Geospatial data and open-source packages for working with it [10:08]
• Guidance to help women and other underrepresented groups to thrive in tech [22:28]
• The hard and soft skills most essential to success in a data role today [39:26]
• Christina’s #bookaweekchallenge and the top data-centric book recommendations [43:28]

Additional materials: www.superdatascience.com/603</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Christina Stathopoulos, Analytical Lead for Waze and Adjunct Professor at IE Business School, joins the podcast to shed light on her work with geospatial data and how she nurtured an entire data career while abroad in Spain.</p><p><br></p><p>In this episode you will learn:</p><p>• Christina's tips on navigating an unconventional path into a data career [3:05]</p><p>• Geospatial data and open-source packages for working with it [10:08]</p><p>• Guidance to help women and other underrepresented groups to thrive in tech [22:28]</p><p>• The hard and soft skills most essential to success in a data role today [39:26]</p><p>• Christina’s <a href="https://soundcloud.com/tags/bookaweekchallenge">#bookaweekchallenge</a> and the top data-centric book recommendations [43:28]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/603">www.superdatascience.com/603</a></p>]]>
      </content:encoded>
      <itunes:duration>3378</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11187486]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2669012585.mp3?updated=1720612279" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>602: We Are Living in Ancient Times</title>
      <description>Inspired by a quote from by science fiction writer, Teresa Nielsen Hayden, Jon Krohn reflects on the notion of living in ancient times and the machine learning-related implications that arise from this perspective.

Additional materials: www.superdatascience.com/602</description>
      <pubDate>Fri, 19 Aug 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a1126cfa-1c32-11ef-9765-ab98128867f6/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Inspired by a quote from by science fiction writer, Teresa Nielsen Hayden, Jon Krohn reflects on the notion of living in ancient times and the machine learning-related implications that arise from this perspective.Additional materials: www.superdatascience.com/602</itunes:subtitle>
      <itunes:summary>Inspired by a quote from by science fiction writer, Teresa Nielsen Hayden, Jon Krohn reflects on the notion of living in ancient times and the machine learning-related implications that arise from this perspective.

Additional materials: www.superdatascience.com/602</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Inspired by a quote from by science fiction writer, Teresa Nielsen Hayden, Jon Krohn reflects on the notion of living in ancient times and the machine learning-related implications that arise from this perspective.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/602">www.superdatascience.com/602</a></p>]]>
      </content:encoded>
      <itunes:duration>209</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11159183]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2647294293.mp3?updated=1720612292" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>601: Venture Capital for Data Science</title>
      <description>This week, Sarah Catanzaro, General Partner at Amplify Partners joins Jon for an episode that dives into the venture capital side of data science. Learn how to fund your data science business idea, take note of what start-ups can do to survive or raise capital in the current economic climate, and discover how to break into the field of venture capital yourself.

In this episode you will learn:
• Angel vs. venture capital vs. private equity investment [7:27]
• How early-stage investment is made prior to a firm having product-market fit [14:33]
• How to pick winners in early-stage investments [28:08]
• Tricks to accelerating from a data science idea to obtaining funding [36:21]
• Observational causal inference [44:01]
• How to get involved in venture capital [47:37]

Additional materials: www.superdatascience.com/601</description>
      <pubDate>Tue, 16 Aug 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a43ee0d4-1c32-11ef-9765-3fc063ab27a6/image/ac2faaaa6b62e7286519b3c873278ceb.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>This week, Sarah Catanzaro, General Partner at Amplify Partners joins Jon for an episode that dives into the venture capital side of data science. Learn how to fund your data science business idea, take note of what start-ups can do to survive or raise capital in the current economic climate, and discover how to break into the field of venture capital yourself.In this episode you will learn:• Angel vs. venture capital vs. private equity investment [7:27]• How early-stage investment is made pr...</itunes:subtitle>
      <itunes:summary>This week, Sarah Catanzaro, General Partner at Amplify Partners joins Jon for an episode that dives into the venture capital side of data science. Learn how to fund your data science business idea, take note of what start-ups can do to survive or raise capital in the current economic climate, and discover how to break into the field of venture capital yourself.

In this episode you will learn:
• Angel vs. venture capital vs. private equity investment [7:27]
• How early-stage investment is made prior to a firm having product-market fit [14:33]
• How to pick winners in early-stage investments [28:08]
• Tricks to accelerating from a data science idea to obtaining funding [36:21]
• Observational causal inference [44:01]
• How to get involved in venture capital [47:37]

Additional materials: www.superdatascience.com/601</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week, Sarah Catanzaro, General Partner at Amplify Partners joins Jon for an episode that dives into the venture capital side of data science. Learn how to fund your data science business idea, take note of what start-ups can do to survive or raise capital in the current economic climate, and discover how to break into the field of venture capital yourself.</p><p><br></p><p>In this episode you will learn:</p><p>• Angel vs. venture capital vs. private equity investment [7:27]</p><p>• How early-stage investment is made prior to a firm having product-market fit [14:33]</p><p>• How to pick winners in early-stage investments [28:08]</p><p>• Tricks to accelerating from a data science idea to obtaining funding [36:21]</p><p>• Observational causal inference [44:01]</p><p>• How to get involved in venture capital [47:37]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/601">www.superdatascience.com/601</a></p>]]>
      </content:encoded>
      <itunes:duration>3388</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11146632]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5341864533.mp3?updated=1720612304" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>600: Yoga Nidra Practice with Steve Fazzari</title>
      <description>Rest and relaxation await as Steve Fazzari joins us this week for a special edition of the podcast! Tune in for a rejuvenating session of Yoga Nidra led beautifully by the expert.

Additional materials: www.superdatascience.com/600</description>
      <pubDate>Fri, 12 Aug 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a4f77432-1c32-11ef-9765-17c4d330cfc8/image/c0e36c3d6dfa1fd6b3a4f703b1543643.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Rest and relaxation await as Steve Fazzari joins us this week for a special edition of the podcast! Tune in for a rejuvenating session of Yoga Nidra led beautifully by the expert.Additional materials: www.superdatascience.com/600</itunes:subtitle>
      <itunes:summary>Rest and relaxation await as Steve Fazzari joins us this week for a special edition of the podcast! Tune in for a rejuvenating session of Yoga Nidra led beautifully by the expert.

Additional materials: www.superdatascience.com/600</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Rest and relaxation await as Steve Fazzari joins us this week for a special edition of the podcast! Tune in for a rejuvenating session of Yoga Nidra led beautifully by the expert.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/600">www.superdatascience.com/600</a></p>]]>
      </content:encoded>
      <itunes:duration>2073</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11121319]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9405926347.mp3?updated=1720612061" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>599: MLOps: Machine Learning Operations</title>
      <description>This week, Mikiko Bazeley, Senior Software Engineer at Mailchimp joins the podcast to share her in-depth knowledge of MLOps: Machine Learning Operations. Tune in to hear her discuss what it entails, why it's so critical for the efficiency of any data science team, and the most important tools you need to master for career success in this field.

In this episode you will learn:
• What MLOps is [11:40]
• Mikiko’s role at Mailchimp and why MLOps is critical for the efficiency of any data science team [27:11]
• The three most important MLOps tools [32:15]
• The six most essential MLOps skills for data scientists [47:01]
• The key factors Mikiko looks when hiring engineers [1:07:31]
• Mikiko’s productivity tricks for balancing software engineering, content creation, and her athletic pursuits [1:13:20]

Additional materials: www.superdatascience.com/599</description>
      <pubDate>Tue, 09 Aug 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a597f1fa-1c32-11ef-9765-9f8e527a69fe/image/059bea8f6df6f36fbf60632dec0b1151.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>This week, Mikiko Bazeley, Senior Software Engineer at Mailchimp joins the podcast to share her in-depth knowledge of MLOps: Machine Learning Operations. Tune in to hear her discuss what it entails, why it's so critical for the efficiency of any data science team, and the most important tools you need to master for career success in this field.In this episode you will learn:• What MLOps is [11:40]• Mikiko’s role at Mailchimp and why MLOps is critical for the efficiency of any data science tea...</itunes:subtitle>
      <itunes:summary>This week, Mikiko Bazeley, Senior Software Engineer at Mailchimp joins the podcast to share her in-depth knowledge of MLOps: Machine Learning Operations. Tune in to hear her discuss what it entails, why it's so critical for the efficiency of any data science team, and the most important tools you need to master for career success in this field.

In this episode you will learn:
• What MLOps is [11:40]
• Mikiko’s role at Mailchimp and why MLOps is critical for the efficiency of any data science team [27:11]
• The three most important MLOps tools [32:15]
• The six most essential MLOps skills for data scientists [47:01]
• The key factors Mikiko looks when hiring engineers [1:07:31]
• Mikiko’s productivity tricks for balancing software engineering, content creation, and her athletic pursuits [1:13:20]

Additional materials: www.superdatascience.com/599</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week, Mikiko Bazeley, Senior Software Engineer at Mailchimp joins the podcast to share her in-depth knowledge of MLOps: Machine Learning Operations. Tune in to hear her discuss what it entails, why it's so critical for the efficiency of any data science team, and the most important tools you need to master for career success in this field.</p><p><br></p><p>In this episode you will learn:</p><p>• What MLOps is [11:40]</p><p>• Mikiko’s role at Mailchimp and why MLOps is critical for the efficiency of any data science team [27:11]</p><p>• The three most important MLOps tools [32:15]</p><p>• The six most essential MLOps skills for data scientists [47:01]</p><p>• The key factors Mikiko looks when hiring engineers [1:07:31]</p><p>• Mikiko’s productivity tricks for balancing software engineering, content creation, and her athletic pursuits [1:13:20]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/599">www.superdatascience.com/599</a></p>]]>
      </content:encoded>
      <itunes:duration>4884</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11106374]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1092678081.mp3?updated=1720612082" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>598: Getting Kids Excited about STEM Subjects</title>
      <description>Ben Taylor makes a fourth appearance on Five-Minute Friday to discuss the best ways to introduce STEM to children. Tune in to hear the many ways in which he thinks STEM education will evolve in the future.

Additional materials: www.superdatascience.com/598</description>
      <pubDate>Fri, 05 Aug 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ad372944-1c32-11ef-9765-13f084d9c630/image/4216946762cc64f10a00b18745613109.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Ben Taylor makes a fourth appearance on Five-Minute Friday to discuss the best ways to introduce STEM to children. Tune in to hear the many ways in which he thinks STEM education will evolve in the future.Additional materials: www.superdatascience.com/598</itunes:subtitle>
      <itunes:summary>Ben Taylor makes a fourth appearance on Five-Minute Friday to discuss the best ways to introduce STEM to children. Tune in to hear the many ways in which he thinks STEM education will evolve in the future.

Additional materials: www.superdatascience.com/598</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Ben Taylor makes a fourth appearance on Five-Minute Friday to discuss the best ways to introduce STEM to children. Tune in to hear the many ways in which he thinks STEM education will evolve in the future.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/598">www.superdatascience.com/598</a></p>]]>
      </content:encoded>
      <itunes:duration>706</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11080763]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5971369302.mp3?updated=1720612353" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>597: A.I. Policy at OpenAI</title>
      <description>Dr. Miles Brundage, Head of Policy Research at OpenAI, joins Jon Krohn this week to discuss AI model production, policy, safety, and alignment. Tune in to hear him speak on GPT-3, DALL-E, Codex, and CLIP as well.

In this episode you will learn:
• Miles’ role as Head of Policy Research at OpenAI [4:35]
• OpenAI's DALL-E model [7:20]
• OpenAI's natural language model GPT-3 [30:43]
• OpenAI's automated software-writing model Codex [36:57]
• OpenAI’s CLIP model [44:01]
• What sets AI policy, AI safety, and AI alignment apart from each other [1:07:03]
• How A.I. will likely augment more professions than it displaces them [1:12:06]

Additional materials: www.superdatascience.com/597</description>
      <pubDate>Tue, 02 Aug 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/afd6f2ec-1c32-11ef-9765-ef54c7cc98e2/image/a6c3a872b7b29b2b1db43d50b81e1c19.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Dr. Miles Brundage, Head of Policy Research at OpenAI, joins Jon Krohn this week to discuss AI model production, policy, safety, and alignment. Tune in to hear him speak on GPT-3, DALL-E, Codex, and CLIP as well.In this episode you will learn:• Miles’ role as Head of Policy Research at OpenAI [4:35]• OpenAI's DALL-E model [7:20]• OpenAI's natural language model GPT-3 [30:43]• OpenAI's automated software-writing model Codex [36:57]• OpenAI’s CLIP model [44:01]• What sets AI policy, AI safety, ...</itunes:subtitle>
      <itunes:summary>Dr. Miles Brundage, Head of Policy Research at OpenAI, joins Jon Krohn this week to discuss AI model production, policy, safety, and alignment. Tune in to hear him speak on GPT-3, DALL-E, Codex, and CLIP as well.

In this episode you will learn:
• Miles’ role as Head of Policy Research at OpenAI [4:35]
• OpenAI's DALL-E model [7:20]
• OpenAI's natural language model GPT-3 [30:43]
• OpenAI's automated software-writing model Codex [36:57]
• OpenAI’s CLIP model [44:01]
• What sets AI policy, AI safety, and AI alignment apart from each other [1:07:03]
• How A.I. will likely augment more professions than it displaces them [1:12:06]

Additional materials: www.superdatascience.com/597</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Dr. Miles Brundage, Head of Policy Research at OpenAI, joins Jon Krohn this week to discuss AI model production, policy, safety, and alignment. Tune in to hear him speak on GPT-3, DALL-E, Codex, and CLIP as well.</p><p><br></p><p>In this episode you will learn:</p><p>• Miles’ role as Head of Policy Research at OpenAI [4:35]</p><p>• OpenAI's DALL-E model [7:20]</p><p>• OpenAI's natural language model GPT-3 [30:43]</p><p>• OpenAI's automated software-writing model Codex [36:57]</p><p>• OpenAI’s CLIP model [44:01]</p><p>• What sets AI policy, AI safety, and AI alignment apart from each other [1:07:03]</p><p>• How A.I. will likely augment more professions than it displaces them [1:12:06]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/597">www.superdatascience.com/597</a></p>]]>
      </content:encoded>
      <itunes:duration>4997</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11067549]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6491784155.mp3?updated=1720612373" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>596: The A.I. Platforms of the Future</title>
      <description>Ben Taylor returns for a third Five-Minute Friday episode! This week, he looks ahead and digs into what we can expect from the A.I. platforms of the future.

Additional materials: www.superdatascience.com/596</description>
      <pubDate>Fri, 29 Jul 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b0e342bc-1c32-11ef-9765-a39bb41db9ed/image/4216946762cc64f10a00b18745613109.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Ben Taylor returns for a third Five-Minute Friday episode! This week, he looks ahead and digs into what we can expect from the A.I. platforms of the future.Additional materials: www.superdatascience.com/596</itunes:subtitle>
      <itunes:summary>Ben Taylor returns for a third Five-Minute Friday episode! This week, he looks ahead and digs into what we can expect from the A.I. platforms of the future.

Additional materials: www.superdatascience.com/596</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Ben Taylor returns for a third Five-Minute Friday episode! This week, he looks ahead and digs into what we can expect from the A.I. platforms of the future.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/596">www.superdatascience.com/596</a></p>]]>
      </content:encoded>
      <itunes:duration>448</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11042234]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2606384389.mp3?updated=1720612389" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>595: Data Engineering 101</title>
      <description>Tune in as Joe Reis and Matt Housley, co-founders of Ternary Data and co-authors of the book “Fundamentals of Data Engineering” join Jon Krohn to discuss major undercurrents across the data engineering lifecycle, and their top tools and techniques.

In this episode you will learn:
• What is data engineering? [3:55]
• Why Joe and Matt identify as “recovering data scientists” [6:12]
• What kinds of people tend to become data scientists vs. data engineers [10:38]?
• Key components of Joe and Matt’s book [26:31]
• Major undercurrents across the data engineering lifecycle [28:26]
• The most under-utilized tool in a data engineer's toolbox [34:39]
• How there are tradeoffs in any data pipeline latency considerations, but faster is typically the default assumption [38:55]
• Joe and Matt’s favorite data engineering tools and techniques [43:39]

Additional materials: www.superdatascience.com/595</description>
      <pubDate>Tue, 26 Jul 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b1690582-1c32-11ef-9765-0faca67b10ad/image/bc39c851c232d8118749eacbc31c4fab.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Tune in as Joe Reis and Matt Housley, co-founders of Ternary Data and co-authors of the book “Fundamentals of Data Engineering” join Jon Krohn to discuss major undercurrents across the data engineering lifecycle, and their top tools and techniques.In this episode you will learn:• What is data engineering? [3:55]• Why Joe and Matt identify as “recovering data scientists” [6:12]• What kinds of people tend to become data scientists vs. data engineers [10:38]?• Key components of Joe and Matt’s bo...</itunes:subtitle>
      <itunes:summary>Tune in as Joe Reis and Matt Housley, co-founders of Ternary Data and co-authors of the book “Fundamentals of Data Engineering” join Jon Krohn to discuss major undercurrents across the data engineering lifecycle, and their top tools and techniques.

In this episode you will learn:
• What is data engineering? [3:55]
• Why Joe and Matt identify as “recovering data scientists” [6:12]
• What kinds of people tend to become data scientists vs. data engineers [10:38]?
• Key components of Joe and Matt’s book [26:31]
• Major undercurrents across the data engineering lifecycle [28:26]
• The most under-utilized tool in a data engineer's toolbox [34:39]
• How there are tradeoffs in any data pipeline latency considerations, but faster is typically the default assumption [38:55]
• Joe and Matt’s favorite data engineering tools and techniques [43:39]

Additional materials: www.superdatascience.com/595</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Tune in as Joe Reis and Matt Housley, co-founders of Ternary Data and co-authors of the book “Fundamentals of Data Engineering” join Jon Krohn to discuss major undercurrents across the data engineering lifecycle, and their top tools and techniques.</p><p><br></p><p>In this episode you will learn:</p><p>• What is data engineering? [3:55]</p><p>• Why Joe and Matt identify as “recovering data scientists” [6:12]</p><p>• What kinds of people tend to become data scientists vs. data engineers [10:38]?</p><p>• Key components of Joe and Matt’s book [26:31]</p><p>• Major undercurrents across the data engineering lifecycle [28:26]</p><p>• The most under-utilized tool in a data engineer's toolbox [34:39]</p><p>• How there are tradeoffs in any data pipeline latency considerations, but faster is typically the default assumption [38:55]</p><p>• Joe and Matt’s favorite data engineering tools and techniques [43:39]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/595">www.superdatascience.com/595</a></p>]]>
      </content:encoded>
      <itunes:duration>4769</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11028831]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4005321931.mp3?updated=1720612407" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>594: Why CEOs Care About A.I. More than Other Technologies</title>
      <description>This week, Jon Krohn and A.I. industry veteran Ben Taylor discuss the driving factors that push CEOs to prioritize A.I. over other technologies.

Additional materials: www.superdatascience.com/594</description>
      <pubDate>Fri, 22 Jul 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b2855c7c-1c32-11ef-9765-8f7d80eb878b/image/4216946762cc64f10a00b18745613109.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>This week, Jon Krohn and A.I. industry veteran Ben Taylor discuss the driving factors that push CEOs to prioritize A.I. over other technologies.Additional materials: www.superdatascience.com/594</itunes:subtitle>
      <itunes:summary>This week, Jon Krohn and A.I. industry veteran Ben Taylor discuss the driving factors that push CEOs to prioritize A.I. over other technologies.

Additional materials: www.superdatascience.com/594</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week, Jon Krohn and A.I. industry veteran Ben Taylor discuss the driving factors that push CEOs to prioritize A.I. over other technologies.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/594">www.superdatascience.com/594</a></p>]]>
      </content:encoded>
      <itunes:duration>320</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-11004320]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1316565906.mp3?updated=1720612420" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>593: The Real-World Impact of Cross-Disciplinary Data Science Collaboration</title>
      <description>Jon welcomes Professor Philip Bourne, Founding Dean of the School of Data Science at the University of Virginia to discuss his biomedical data science research, the importance of open-source and open-access within the industry and the data science skills you need to succeed today.

In this episode you will learn:
• Why Philip founded a School of Data Science [6:08]
• How computing and data science have evolved across academic departments [15:55]
• The improvements needed in higher education [26:44]
• The most important data science skills for academia and industry and the 4+1 model [36:49]
• Philip’s biomedical data science research and its fascinating practical applications [43:24]
• The essential roles of open-source code and open-access publishing in data science [1:01:27]

Additional materials: www.superdatascience.com/593</description>
      <pubDate>Tue, 19 Jul 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b34266d2-1c32-11ef-9765-13f16db40c74/image/aeda334866263249bd36c048b1e03633.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon welcomes Professor Philip Bourne, Founding Dean of the School of Data Science at the University of Virginia to discuss his biomedical data science research, the importance of open-source and open-access within the industry and the data science skills you need to succeed today.In this episode you will learn:• Why Philip founded a School of Data Science [6:08]• How computing and data science have evolved across academic departments [15:55]• The improvements needed in higher education [26:44...</itunes:subtitle>
      <itunes:summary>Jon welcomes Professor Philip Bourne, Founding Dean of the School of Data Science at the University of Virginia to discuss his biomedical data science research, the importance of open-source and open-access within the industry and the data science skills you need to succeed today.

In this episode you will learn:
• Why Philip founded a School of Data Science [6:08]
• How computing and data science have evolved across academic departments [15:55]
• The improvements needed in higher education [26:44]
• The most important data science skills for academia and industry and the 4+1 model [36:49]
• Philip’s biomedical data science research and its fascinating practical applications [43:24]
• The essential roles of open-source code and open-access publishing in data science [1:01:27]

Additional materials: www.superdatascience.com/593</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon welcomes Professor Philip Bourne, Founding Dean of the School of Data Science at the University of Virginia to discuss his biomedical data science research, the importance of open-source and open-access within the industry and the data science skills you need to succeed today.</p><p><br></p><p>In this episode you will learn:</p><p>• Why Philip founded a School of Data Science [6:08]</p><p>• How computing and data science have evolved across academic departments [15:55]</p><p>• The improvements needed in higher education [26:44]</p><p>• The most important data science skills for academia and industry and the 4+1 model [36:49]</p><p>• Philip’s biomedical data science research and its fascinating practical applications [43:24]</p><p>• The essential roles of open-source code and open-access publishing in data science [1:01:27]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/593">www.superdatascience.com/593</a></p>]]>
      </content:encoded>
      <itunes:duration>4898</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10985140]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4695454537.mp3?updated=1720612440" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>592: How to Sell a Multimillion Dollar A.I. Contract</title>
      <description>In this episode, Jon Krohn welcomes A.I. industry veteran Ben Taylor to discuss how to sell multimillion dollar A.I. contracts. Tune in to hear why trust and proof of value are some of the critical steps in his sales process.

Additional materials: www.superdatascience.com/592</description>
      <pubDate>Fri, 15 Jul 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b3cb8d90-1c32-11ef-9765-5f70e2688571/image/4216946762cc64f10a00b18745613109.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jon Krohn welcomes A.I. industry veteran Ben Taylor to discuss how to sell multimillion dollar A.I. contracts. Tune in to hear why trust and proof of value are some of the critical steps in his sales process.Additional materials: www.superdatascience.com/592</itunes:subtitle>
      <itunes:summary>In this episode, Jon Krohn welcomes A.I. industry veteran Ben Taylor to discuss how to sell multimillion dollar A.I. contracts. Tune in to hear why trust and proof of value are some of the critical steps in his sales process.

Additional materials: www.superdatascience.com/592</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jon Krohn welcomes A.I. industry veteran Ben Taylor to discuss how to sell multimillion dollar A.I. contracts. Tune in to hear why trust and proof of value are some of the critical steps in his sales process.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/592">www.superdatascience.com/592</a></p>]]>
      </content:encoded>
      <itunes:duration>203</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10960962]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7913138449.mp3?updated=1720612455" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>591: Simulations and Synthetic Data for Machine Learning</title>
      <description>Mars Buttfield-Addison, PhD Candidate at the University of Tasmania, joins Jon Krohn for a high-energy episode covering everything from Machine Learning simulations to Swift, space junk, and more!

In this episode you will learn:
• What simulations and synthetic data are, and why they can be invaluable for real-life applications [5:47]
• How simulated bots can solve any problem [9:07]
• Practical uses of simulated data [21:49]
• Why the mobile operating system language Swift is interesting for A.I. [25:46]
• Why it's critical to track the amount of junk in space [35:47]
• Whether programming or statistical skills are more important in data science [47:05]
• What it’s like creating video games in a "secret" games lab [56:45]
• Why you might want to do a data science internship in industry before pursuing in academia [ 1:01:54]

Additional materials: www.superdatascience.com/591</description>
      <pubDate>Tue, 12 Jul 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b454ecf2-1c32-11ef-9765-af85ed6aa261/image/a968471f57982d45c9ba82dcbfa768cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Mars Buttfield-Addison, PhD Candidate at the University of Tasmania, joins Jon Krohn for a high-energy episode covering everything from Machine Learning simulations to Swift, space junk, and more!In this episode you will learn:• What simulations and synthetic data are, and why they can be invaluable for real-life applications [5:47]• How simulated bots can solve any problem [9:07]• Practical uses of simulated data [21:49]• Why the mobile operating system language Swift is interesting for A.I....</itunes:subtitle>
      <itunes:summary>Mars Buttfield-Addison, PhD Candidate at the University of Tasmania, joins Jon Krohn for a high-energy episode covering everything from Machine Learning simulations to Swift, space junk, and more!

In this episode you will learn:
• What simulations and synthetic data are, and why they can be invaluable for real-life applications [5:47]
• How simulated bots can solve any problem [9:07]
• Practical uses of simulated data [21:49]
• Why the mobile operating system language Swift is interesting for A.I. [25:46]
• Why it's critical to track the amount of junk in space [35:47]
• Whether programming or statistical skills are more important in data science [47:05]
• What it’s like creating video games in a "secret" games lab [56:45]
• Why you might want to do a data science internship in industry before pursuing in academia [ 1:01:54]

Additional materials: www.superdatascience.com/591</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Mars Buttfield-Addison, PhD Candidate at the University of Tasmania, joins Jon Krohn for a high-energy episode covering everything from Machine Learning simulations to Swift, space junk, and more!</p><p><br></p><p>In this episode you will learn:</p><p>• What simulations and synthetic data are, and why they can be invaluable for real-life applications [5:47]</p><p>• How simulated bots can solve any problem [9:07]</p><p>• Practical uses of simulated data [21:49]</p><p>• Why the mobile operating system language Swift is interesting for A.I. [25:46]</p><p>• Why it's critical to track the amount of junk in space [35:47]</p><p>• Whether programming or statistical skills are more important in data science [47:05]</p><p>• What it’s like creating video games in a "secret" games lab [56:45]</p><p>• Why you might want to do a data science internship in industry before pursuing in academia [ 1:01:54]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/591">www.superdatascience.com/591</a></p>]]>
      </content:encoded>
      <itunes:duration>4496</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10946640]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2781442439.mp3?updated=1720612474" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>590: Artificial General Intelligence is Not Nigh (Part 2 of 2)</title>
      <description>In this episode, Jon continues his two-part series on artificial general intelligence (AGI) and why we are unlikely to realize it anytime soon. Listen in as Jon reviews Meta's Yann LeCun's seven-part perspective on the topic.

Additional materials: www.superdatascience.com/590</description>
      <pubDate>Fri, 08 Jul 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b4dcbdc6-1c32-11ef-9765-fb7a3293dec9/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jon continues his two-part series on artificial general intelligence (AGI) and why we are unlikely to realize it anytime soon. Listen in as Jon reviews Meta's Yann LeCun's seven-part perspective on the topic.Additional materials: www.superdatascience.com/590</itunes:subtitle>
      <itunes:summary>In this episode, Jon continues his two-part series on artificial general intelligence (AGI) and why we are unlikely to realize it anytime soon. Listen in as Jon reviews Meta's Yann LeCun's seven-part perspective on the topic.

Additional materials: www.superdatascience.com/590</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jon continues his two-part series on artificial general intelligence (AGI) and why we are unlikely to realize it anytime soon. Listen in as Jon reviews Meta's Yann LeCun's seven-part perspective on the topic.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/590">www.superdatascience.com/590</a></p>]]>
      </content:encoded>
      <itunes:duration>356</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10919753]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9324434825.mp3?updated=1720612488" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>589: Narrative A.I. with Hilary Mason</title>
      <description>Hilary Mason, Co-Founder and CEO of Hidden Door, joins Jon Krohn for a live discussion that explores narrative A.I., emerging ML techniques, and how her OSEMN data science process developed.

In this episode you will learn:

How narrative A.I. can assist creativity [5:14]

How to build ML products that have no quantitative error function to optimize [10:31]

How to ensure creative A.I. systems do not output non-sense or explicit content [16:58]

Hilary's OSEMN data science process [21:05]

The emerging ML technique she’s most excited about [24:58]

What it takes to be successful as CEO of an early-stage A.I. company [27:20]

What she looks for in engineering hires [32:28]

How she’s hopeful A.I. will transform our lives for the better in the decades to come [38:48]


Additional materials: www.superdatascience.com/589</description>
      <pubDate>Tue, 05 Jul 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b56e978c-1c32-11ef-9765-ff7b4d8d7e2e/image/47a110b4bbefacaa5963ce02ce252b30.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Hilary Mason, Co-Founder and CEO of Hidden Door, joins Jon Krohn for a live discussion that explores narrative A.I., emerging ML techniques, and how her OSEMN data science process developed.</itunes:subtitle>
      <itunes:summary>Hilary Mason, Co-Founder and CEO of Hidden Door, joins Jon Krohn for a live discussion that explores narrative A.I., emerging ML techniques, and how her OSEMN data science process developed.

In this episode you will learn:

How narrative A.I. can assist creativity [5:14]

How to build ML products that have no quantitative error function to optimize [10:31]

How to ensure creative A.I. systems do not output non-sense or explicit content [16:58]

Hilary's OSEMN data science process [21:05]

The emerging ML technique she’s most excited about [24:58]

What it takes to be successful as CEO of an early-stage A.I. company [27:20]

What she looks for in engineering hires [32:28]

How she’s hopeful A.I. will transform our lives for the better in the decades to come [38:48]


Additional materials: www.superdatascience.com/589</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Hilary Mason, Co-Founder and CEO of Hidden Door, joins Jon Krohn for a live discussion that explores narrative A.I., emerging ML techniques, and how her OSEMN data science process developed.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>How narrative A.I. can assist creativity [5:14]</li>
<li>How to build ML products that have no quantitative error function to optimize [10:31]</li>
<li>How to ensure creative A.I. systems do not output non-sense or explicit content [16:58]</li>
<li>Hilary's OSEMN data science process [21:05]</li>
<li>The emerging ML technique she’s most excited about [24:58]</li>
<li>What it takes to be successful as CEO of an early-stage A.I. company [27:20]</li>
<li>What she looks for in engineering hires [32:28]</li>
<li>How she’s hopeful A.I. will transform our lives for the better in the decades to come [38:48]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/589">www.superdatascience.com/589</a></p>]]>
      </content:encoded>
      <itunes:duration>3388</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10905963]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1159624939.mp3?updated=1724659398" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>588: Artificial General Intelligence is Not Nigh</title>
      <description>In this episode, Jon kicks off a two-part series that sees him explore the popular topic of artificial general intelligence and why it might–or might not–be only a few years away. Listen in as Jon explains the several reasons why he doesn't believe that AGI is nigh.

Additional materials: www.superdatascience.com/588</description>
      <pubDate>Fri, 01 Jul 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b5f9a70a-1c32-11ef-9765-9f9f11aed67a/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jon kicks off a two-part series that sees him explore the popular topic of artificial general intelligence and why it might–or might not–be only a few years away. Listen in as Jon explains the several reasons why he doesn't believe that AGI is nigh.</itunes:subtitle>
      <itunes:summary>In this episode, Jon kicks off a two-part series that sees him explore the popular topic of artificial general intelligence and why it might–or might not–be only a few years away. Listen in as Jon explains the several reasons why he doesn't believe that AGI is nigh.

Additional materials: www.superdatascience.com/588</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jon kicks off a two-part series that sees him explore the popular topic of artificial general intelligence and why it might–or might not–be only a few years away. Listen in as Jon explains the several reasons why he doesn't believe that AGI is nigh.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/588">www.superdatascience.com/588</a></p>]]>
      </content:encoded>
      <itunes:duration>352</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10883430]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6720806202.mp3?updated=1724659362" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>587: Data Engineering for Data Scientists</title>
      <description>Mark Freeman, Senior Data Scientist at Humu, joins Jon Krohn to talk about all things data engineering and offers listeners some critical tips for their data science career journey – from what it takes to get promoted to his number one tip for getting hired at a fast-growing capital-backed startup.

In this episode you will learn:

How Humu leverages data and machine learning to improve workplace behaviors [10:38]

What is data engineering? [14:21]

What it takes to get promoted into more senior data science roles [20:55]

The differences between junior, senior, and staff data scientists [30:21]

Mark’s top tools for data extraction, modeling, and pipeline engineering [37:08]

Mark’s number one tip for getting hired at a fast-growing venture capital-backed startup [53:10]

Why all data scientists should be interested in Web3 [1:11:53]


Additional materials: www.superdatascience.com/587</description>
      <pubDate>Tue, 28 Jun 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b66d0682-1c32-11ef-9765-7bf63b2ef671/image/752d94af55411976a3b8dcab3f10e2f1.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Mark Freeman, Senior Data Scientist at Humu, joins Jon Krohn to talk about all things data engineering and offers listeners some critical tips for their data science career journey – from what it takes to get promoted to his number one tip for getting hired at a fast-growing capital-backed startup.</itunes:subtitle>
      <itunes:summary>Mark Freeman, Senior Data Scientist at Humu, joins Jon Krohn to talk about all things data engineering and offers listeners some critical tips for their data science career journey – from what it takes to get promoted to his number one tip for getting hired at a fast-growing capital-backed startup.

In this episode you will learn:

How Humu leverages data and machine learning to improve workplace behaviors [10:38]

What is data engineering? [14:21]

What it takes to get promoted into more senior data science roles [20:55]

The differences between junior, senior, and staff data scientists [30:21]

Mark’s top tools for data extraction, modeling, and pipeline engineering [37:08]

Mark’s number one tip for getting hired at a fast-growing venture capital-backed startup [53:10]

Why all data scientists should be interested in Web3 [1:11:53]


Additional materials: www.superdatascience.com/587</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Mark Freeman, Senior Data Scientist at Humu, joins Jon Krohn to talk about all things data engineering and offers listeners some critical tips for their data science career journey – from what it takes to get promoted to his number one tip for getting hired at a fast-growing capital-backed startup.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>How Humu leverages data and machine learning to improve workplace behaviors [10:38]</li>
<li>What is data engineering? [14:21]</li>
<li>What it takes to get promoted into more senior data science roles [20:55]</li>
<li>The differences between junior, senior, and staff data scientists [30:21]</li>
<li>Mark’s top tools for data extraction, modeling, and pipeline engineering [37:08]</li>
<li>Mark’s number one tip for getting hired at a fast-growing venture capital-backed startup [53:10]</li>
<li>Why all data scientists should be interested in Web3 [1:11:53]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/587">www.superdatascience.com/587</a></p>]]>
      </content:encoded>
      <itunes:duration>5109</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10868081]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3627265249.mp3?updated=1724659341" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>586: Daily Habit #10: Limit Social Media Use</title>
      <description>In this episode, Jon dives into the popular topic of social media and its impact on his productivity. Tune in to hear how minimizing the use of social media can positively impact your days, mental health and work. 

Additional materials: www.superdatascience.com/586</description>
      <pubDate>Fri, 24 Jun 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b6e3ff12-1c32-11ef-9765-7f972d469cff/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jon dives into the popular topic of social media and its impact on his productivity. Tune in to hear how minimizing the use of social media can positively impact your days, mental health and work. </itunes:subtitle>
      <itunes:summary>In this episode, Jon dives into the popular topic of social media and its impact on his productivity. Tune in to hear how minimizing the use of social media can positively impact your days, mental health and work. 

Additional materials: www.superdatascience.com/586</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jon dives into the popular topic of social media and its impact on his productivity. Tune in to hear how minimizing the use of social media can positively impact your days, mental health and work. </p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/586">www.superdatascience.com/586</a></p>]]>
      </content:encoded>
      <itunes:duration>299</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10764113]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1240006933.mp3?updated=1724659290" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>585: PyMC for Bayesian Statistics in Python</title>
      <description>In this episode, Dr. Thomas Wiecki, Core Developer of the PyMC Library and CEO of PyMC Labs, joins Jon for a masterclass in Bayesian statistics. Tune in to hear about PyMC, and discover why Bayesian statistics can be more powerful and interpretable than any other data modeling approach.

In this episode you will learn:

What Bayesian statistics is [7:30]

Why Bayesian statistics can be more powerful and interpretable than any other data modeling approach [17:20]

How PyMC was developed [20:41]

Commercial applications of Bayesian stats [43:07]

How to build a successful company culture [1:03:14]

What Thomas looks for when hiring [1:11:13]

Thomas’s top resources for learning Bayesian stats yourself [1:13:57]


Additional materials: www.superdatascience.com/585</description>
      <pubDate>Tue, 21 Jun 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b76085dc-1c32-11ef-9765-2bf6b55c1671/image/51680d133ab90917b9a6ce43dbb4ec2b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Dr. Thomas Wiecki, Core Developer of the PyMC Library and CEO of PyMC Labs, joins Jon for a masterclass in Bayesian statistics. Tune in to hear about PyMC, and discover why Bayesian statistics can be more powerful and interpretable than any other data modeling approach.</itunes:subtitle>
      <itunes:summary>In this episode, Dr. Thomas Wiecki, Core Developer of the PyMC Library and CEO of PyMC Labs, joins Jon for a masterclass in Bayesian statistics. Tune in to hear about PyMC, and discover why Bayesian statistics can be more powerful and interpretable than any other data modeling approach.

In this episode you will learn:

What Bayesian statistics is [7:30]

Why Bayesian statistics can be more powerful and interpretable than any other data modeling approach [17:20]

How PyMC was developed [20:41]

Commercial applications of Bayesian stats [43:07]

How to build a successful company culture [1:03:14]

What Thomas looks for when hiring [1:11:13]

Thomas’s top resources for learning Bayesian stats yourself [1:13:57]


Additional materials: www.superdatascience.com/585</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Dr. Thomas Wiecki, Core Developer of the PyMC Library and CEO of PyMC Labs, joins Jon for a masterclass in Bayesian statistics. Tune in to hear about PyMC, and discover why Bayesian statistics can be more powerful and interpretable than any other data modeling approach.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What Bayesian statistics is [7:30]</li>
<li>Why Bayesian statistics can be more powerful and interpretable than any other data modeling approach [17:20]</li>
<li>How PyMC was developed [20:41]</li>
<li>Commercial applications of Bayesian stats [43:07]</li>
<li>How to build a successful company culture [1:03:14]</li>
<li>What Thomas looks for when hiring [1:11:13]</li>
<li>Thomas’s top resources for learning Bayesian stats yourself [1:13:57]</li>
</ul><p><br></p><p>Additional materials: <a href="Vwww.superdatascience.com/585">www.superdatascience.com/585</a></p>]]>
      </content:encoded>
      <itunes:duration>5182</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10825561]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4773902221.mp3?updated=1724659249" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>584: OpenAI Codex</title>
      <description>In this episode, Jon reviews the remarkable natural language model Codex by OpenAI. Learn why it has amassed a waitlist and how you can leverage its practical applications in your work. 

Additional materials: www.superdatascience.com/584</description>
      <pubDate>Fri, 17 Jun 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b7d56cbc-1c32-11ef-9765-1f1117a040b8/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jon reviews the remarkable natural language model Codex by OpenAI. Learn why it has amassed a waitlist and how you can leverage its practical applications in your work. </itunes:subtitle>
      <itunes:summary>In this episode, Jon reviews the remarkable natural language model Codex by OpenAI. Learn why it has amassed a waitlist and how you can leverage its practical applications in your work. 

Additional materials: www.superdatascience.com/584</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jon reviews the remarkable natural language model Codex by OpenAI. Learn why it has amassed a waitlist and how you can leverage its practical applications in your work. </p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/584">www.superdatascience.com/584</a></p>]]>
      </content:encoded>
      <itunes:duration>241</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10764074]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1429645394.mp3?updated=1724659207" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>583: The State of Natural Language Processing</title>
      <description>In this episode, natural language processing (NLP) expert and Lead Data Scientist at CB Insights, Rongyao Huang, joins Jon Krohn to discuss NLP. Listen in for a thorough review of the field over the past decade and how the coming iron age of NLP will help us overcome the limitations of today's approaches.

In this episode you will learn:

The evolution of NLP techniques over the past decade [4:14]

What's next in the coming iron age of NLP [35:33]

Rongyao’s Bauhaus-inspired model for effective data science [43:12]

Rongyao's long-term career pathfinding framework [51:50]

Rongyao’s top tips for staying sane while juggling career and family [1:00:30]


Additional materials: www.superdatascience.com/583</description>
      <pubDate>Tue, 14 Jun 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b842332e-1c32-11ef-9765-eb9cbe675e16/image/21a6f76190126594d1bf74435354f9a8.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, natural language processing (NLP) expert and Lead Data Scientist at CB Insights, Rongyao Huang, joins Jon Krohn to discuss NLP. Listen in for a thorough review of the field over the past decade and how the coming iron age of NLP will help us overcome the limitations of today's approaches.</itunes:subtitle>
      <itunes:summary>In this episode, natural language processing (NLP) expert and Lead Data Scientist at CB Insights, Rongyao Huang, joins Jon Krohn to discuss NLP. Listen in for a thorough review of the field over the past decade and how the coming iron age of NLP will help us overcome the limitations of today's approaches.

In this episode you will learn:

The evolution of NLP techniques over the past decade [4:14]

What's next in the coming iron age of NLP [35:33]

Rongyao’s Bauhaus-inspired model for effective data science [43:12]

Rongyao's long-term career pathfinding framework [51:50]

Rongyao’s top tips for staying sane while juggling career and family [1:00:30]


Additional materials: www.superdatascience.com/583</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, natural language processing (NLP) expert and Lead Data Scientist at CB Insights, Rongyao Huang, joins Jon Krohn to discuss NLP. Listen in for a thorough review of the field over the past decade and how the coming iron age of NLP will help us overcome the limitations of today's approaches.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>The evolution of NLP techniques over the past decade [4:14]</li>
<li>What's next in the coming iron age of NLP [35:33]</li>
<li>Rongyao’s Bauhaus-inspired model for effective data science [43:12]</li>
<li>Rongyao's long-term career pathfinding framework [51:50]</li>
<li>Rongyao’s top tips for staying sane while juggling career and family [1:00:30]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/583">www.superdatascience.com/583</a></p>]]>
      </content:encoded>
      <itunes:duration>4497</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10764038]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9473450425.mp3?updated=1724659174" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>582: Model Speed vs Model Accuracy</title>
      <description>In this episode, Jon wraps up his three-part series on business value and machine learning. Listen in as he explains why starting with simple models is best, and why speed is likely more important to your users than accuracy.

Additional materials: www.superdatascience.com/582</description>
      <pubDate>Fri, 10 Jun 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b8bb82ba-1c32-11ef-9765-f3de81793c83/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jon wraps up his three-part series on business value and machine learning. Listen in as he explains why starting with simple models is best, and why speed is likely more important to your users than accuracy.</itunes:subtitle>
      <itunes:summary>In this episode, Jon wraps up his three-part series on business value and machine learning. Listen in as he explains why starting with simple models is best, and why speed is likely more important to your users than accuracy.

Additional materials: www.superdatascience.com/582</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jon wraps up his three-part series on business value and machine learning. Listen in as he explains why starting with simple models is best, and why speed is likely more important to your users than accuracy.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/582">www.superdatascience.com/582</a></p>]]>
      </content:encoded>
      <itunes:duration>200</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10757210]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2640579204.mp3?updated=1724659133" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>581: Bayesian, Frequentist, and Fiducial Statistics in Data Science</title>
      <description>In this episode founding Editor-in-Chief of the Harvard Data Science Review and Professor of Statistics at Harvard University, Prof. Xiao-Li Meng, joins Jon Krohn to dive into data trade-offs that abound, and shares his view on the paradoxical downside of having lots of data.

In this episode you will learn:

What the Harvard Data Science Review is and why Xiao-Li founded it [5:31]

The difference between data science and statistics [17:56]

The concept of 'data minding' [22:27]

The concept of 'data confession' [30:31]

Why there’s no “free lunch” with data, and the tricky trade-offs that abound [35:20]

The surprising paradoxical downside of having lots of data [43:23]

What the Bayesian, Frequentist, and Fiducial schools of statistics are, and when each of them is most useful in data science [55:47]


Additional materials: www.superdatascience.com/581</description>
      <pubDate>Tue, 07 Jun 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b9431112-1c32-11ef-9765-5b36d700c343/image/4034c217ba94fadafdbb472470cc8a0c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode founding Editor-in-Chief of the Harvard Data Science Review and Professor of Statistics at Harvard University, Prof. Xiao-Li Meng, joins Jon Krohn to dive into data trade-offs that abound, and shares his view on the paradoxical downside of having lots of data.</itunes:subtitle>
      <itunes:summary>In this episode founding Editor-in-Chief of the Harvard Data Science Review and Professor of Statistics at Harvard University, Prof. Xiao-Li Meng, joins Jon Krohn to dive into data trade-offs that abound, and shares his view on the paradoxical downside of having lots of data.

In this episode you will learn:

What the Harvard Data Science Review is and why Xiao-Li founded it [5:31]

The difference between data science and statistics [17:56]

The concept of 'data minding' [22:27]

The concept of 'data confession' [30:31]

Why there’s no “free lunch” with data, and the tricky trade-offs that abound [35:20]

The surprising paradoxical downside of having lots of data [43:23]

What the Bayesian, Frequentist, and Fiducial schools of statistics are, and when each of them is most useful in data science [55:47]


Additional materials: www.superdatascience.com/581</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode founding Editor-in-Chief of the Harvard Data Science Review and Professor of Statistics at Harvard University, Prof. Xiao-Li Meng, joins Jon Krohn to dive into data trade-offs that abound, and shares his view on the paradoxical downside of having lots of data.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What the Harvard Data Science Review is and why Xiao-Li founded it [5:31]</li>
<li>The difference between data science and statistics [17:56]</li>
<li>The concept of 'data minding' [22:27]</li>
<li>The concept of 'data confession' [30:31]</li>
<li>Why there’s no “free lunch” with data, and the tricky trade-offs that abound [35:20]</li>
<li>The surprising paradoxical downside of having lots of data [43:23]</li>
<li>What the Bayesian, Frequentist, and Fiducial schools of statistics are, and when each of them is most useful in data science [55:47]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/581">www.superdatascience.com/581</a></p>]]>
      </content:encoded>
      <itunes:duration>5070</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10750751]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9825763293.mp3?updated=1724659113" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>580: Collecting Valuable Data</title>
      <description>In this episode, Jon resumes his series on strategies for getting business value from machine learning. Part one saw him review several ways to identify a commercial problem before starting data collection or ML model development. And now, in part two, Jon digs into the data collection process.

Additional materials: www.superdatascience.com/580</description>
      <pubDate>Fri, 03 Jun 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b9b7011c-1c32-11ef-9765-f3fa1410704e/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jon resumes his series on strategies for getting business value from machine learning. Part one saw him review several ways to identify a commercial problem before starting data collection or ML model development. And now, in part two, Jon digs into the data collection process.</itunes:subtitle>
      <itunes:summary>In this episode, Jon resumes his series on strategies for getting business value from machine learning. Part one saw him review several ways to identify a commercial problem before starting data collection or ML model development. And now, in part two, Jon digs into the data collection process.

Additional materials: www.superdatascience.com/580</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jon resumes his series on strategies for getting business value from machine learning. Part one saw him review several ways to identify a commercial problem before starting data collection or ML model development. And now, in part two, Jon digs into the data collection process.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/580">www.superdatascience.com/580</a></p>]]>
      </content:encoded>
      <itunes:duration>337</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10710429]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2210749038.mp3?updated=1724659078" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>579: Transforming Dentistry with A.I.</title>
      <description>In this episode, the CEO of Overjet, Dr. Wardah Inam, joins Jon Krohn to discuss the classification and quantification of dental diagnoses with computer vision, her data labeling challenges, and tips for building a successful A.I. business.

In this episode you will learn:

How Overjet leverages computer vision to qualify and quantify dental diagnoses [5:11]

How A.I. solutions reduce the under-diagnosis of common diseases like periodontal disease [8:15]

Overjet's particular ML challenges within the dental industry [15:45]

Wardah's experience in introducing A.I. to the dental industry [20:12]

Wardah's tips for building a successful A.I. business [23:34]

What she looks for in the data scientists and software engineers she hires [39:36]


Additional materials: www.superdatascience.com/579</description>
      <pubDate>Tue, 31 May 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ba2a0d9c-1c32-11ef-9765-ef7b90afaa7a/image/0ef9a0fcea6d2127b1ba20e994da4196.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, the CEO of Overjet, Dr. Wardah Inam, joins Jon Krohn to discuss the classification and quantification of dental diagnoses with computer vision, her data labeling challenges, and tips for building a successful A.I. business.</itunes:subtitle>
      <itunes:summary>In this episode, the CEO of Overjet, Dr. Wardah Inam, joins Jon Krohn to discuss the classification and quantification of dental diagnoses with computer vision, her data labeling challenges, and tips for building a successful A.I. business.

In this episode you will learn:

How Overjet leverages computer vision to qualify and quantify dental diagnoses [5:11]

How A.I. solutions reduce the under-diagnosis of common diseases like periodontal disease [8:15]

Overjet's particular ML challenges within the dental industry [15:45]

Wardah's experience in introducing A.I. to the dental industry [20:12]

Wardah's tips for building a successful A.I. business [23:34]

What she looks for in the data scientists and software engineers she hires [39:36]


Additional materials: www.superdatascience.com/579</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, the CEO of Overjet, Dr. Wardah Inam, joins Jon Krohn to discuss the classification and quantification of dental diagnoses with computer vision, her data labeling challenges, and tips for building a successful A.I. business.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>How Overjet leverages computer vision to qualify and quantify dental diagnoses [5:11]</li>
<li>How A.I. solutions reduce the under-diagnosis of common diseases like periodontal disease [8:15]</li>
<li>Overjet's particular ML challenges within the dental industry [15:45]</li>
<li>Wardah's experience in introducing A.I. to the dental industry [20:12]</li>
<li>Wardah's tips for building a successful A.I. business [23:34]</li>
<li>What she looks for in the data scientists and software engineers she hires [39:36]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/579">www.superdatascience.com/579</a></p>]]>
      </content:encoded>
      <itunes:duration>2830</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10710206]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3671536984.mp3?updated=1724659052" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>578: Identifying Commercial ML Problems</title>
      <description>In this episode, Jon kicks off a new Five-Minute Friday series that explores the strategies for getting business value from machine learning. Part one sees him review several ways to identify a commercial problem before starting data collection or ML model development.

Additional materials: www.superdatascience.com/578</description>
      <pubDate>Fri, 27 May 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ba9e6a02-1c32-11ef-9765-1b92bd32b03d/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jon kicks off a new Five-Minute Friday series that explores the strategies for getting business value from machine learning. Part one sees him review several ways to identify a commercial problem before starting data collection or ML model development.</itunes:subtitle>
      <itunes:summary>In this episode, Jon kicks off a new Five-Minute Friday series that explores the strategies for getting business value from machine learning. Part one sees him review several ways to identify a commercial problem before starting data collection or ML model development.

Additional materials: www.superdatascience.com/578</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jon kicks off a new Five-Minute Friday series that explores the strategies for getting business value from machine learning. Part one sees him review several ways to identify a commercial problem before starting data collection or ML model development.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/578">www.superdatascience.com/578</a></p>]]>
      </content:encoded>
      <itunes:duration>231</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10685671]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1342933938.mp3?updated=1724659015" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>577: Scaling A.I. Startups Globally</title>
      <description>In this episode, the former CEO and co-founder behind Onfido, an AI-based ID verification, joins Jon Krohn to discuss his path to start-up success. Tune in to hear valuable information from Husayn Kassai.

In this episode you will learn:

How Husayn's start-up journey began [5:55]

How Husayn determined that his challenge could be solved by machine vision [11:18]

Onfido's initial seed stages [18:23]

Launching and scaling your start-up in the U.S. market [22:00]

The most important component in building the best product [26:30]

Husayn's latest start-up [28:52]

Husayn’s startup project decision-making process [37:49]

Choosing your co-founding team [44:04]


Additional materials: www.superdatascience.com/577</description>
      <pubDate>Tue, 24 May 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/bb0dcffa-1c32-11ef-9765-0fc3cbf44ee7/image/7d638cfdd2e42305fb02febb3fd35ae3.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, the former CEO and co-founder behind Onfido, an AI-based ID verification, joins Jon Krohn to discuss his path to start-up success. Tune in to hear valuable information from Husayn Kassai.</itunes:subtitle>
      <itunes:summary>In this episode, the former CEO and co-founder behind Onfido, an AI-based ID verification, joins Jon Krohn to discuss his path to start-up success. Tune in to hear valuable information from Husayn Kassai.

In this episode you will learn:

How Husayn's start-up journey began [5:55]

How Husayn determined that his challenge could be solved by machine vision [11:18]

Onfido's initial seed stages [18:23]

Launching and scaling your start-up in the U.S. market [22:00]

The most important component in building the best product [26:30]

Husayn's latest start-up [28:52]

Husayn’s startup project decision-making process [37:49]

Choosing your co-founding team [44:04]


Additional materials: www.superdatascience.com/577</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, the former CEO and co-founder behind Onfido, an AI-based ID verification, joins Jon Krohn to discuss his path to start-up success. Tune in to hear valuable information from Husayn Kassai.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>How Husayn's start-up journey began [5:55]</li>
<li>How Husayn determined that his challenge could be solved by machine vision [11:18]</li>
<li>Onfido's initial seed stages [18:23]</li>
<li>Launching and scaling your start-up in the U.S. market [22:00]</li>
<li>The most important component in building the best product [26:30]</li>
<li>Husayn's latest start-up [28:52]</li>
<li>Husayn’s startup project decision-making process [37:49]</li>
<li>Choosing your co-founding team [44:04]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/577">www.superdatascience.com/577</a></p>]]>
      </content:encoded>
      <itunes:duration>3315</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10671860]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7310960589.mp3?updated=1724658996" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>576: Tech Startup Dramas</title>
      <description>Hollywood has officially fallen for the drama of tech startups! Tune in to hear Jon Krohn review the small-screen adaptations of WeWork (WeCrashed), Uber (Super Pumped), and Theranos (The Dropout).

Additional materials: www.superdatascience.com/576</description>
      <pubDate>Fri, 20 May 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/bbbb6106-1c32-11ef-9765-530c25b600a9/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Hollywood has officially fallen for the drama of tech startups! Tune in to hear Jon Krohn review the small-screen adaptations of WeWork (WeCrashed), Uber (Super Pumped), and Theranos (The Dropout).</itunes:subtitle>
      <itunes:summary>Hollywood has officially fallen for the drama of tech startups! Tune in to hear Jon Krohn review the small-screen adaptations of WeWork (WeCrashed), Uber (Super Pumped), and Theranos (The Dropout).

Additional materials: www.superdatascience.com/576</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Hollywood has officially fallen for the drama of tech startups! Tune in to hear Jon Krohn review the small-screen adaptations of WeWork (WeCrashed), Uber (Super Pumped), and Theranos (The Dropout).</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/576">www.superdatascience.com/576</a></p>]]>
      </content:encoded>
      <itunes:duration>206</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10645179]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5517503562.mp3?updated=1724658954" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>575: Optimizing Computer Hardware with Deep Learning</title>
      <description>In this episode, the Director of Architecture at NVIDIA, Dr. Magnus Ekman, joins Jon Krohn to discuss how machine learning, including deep learning, can optimize computer hardware design. The pair also review his exceptional book 'Learning Deep Learning.'

In this episode you will learn:

What hardware architects do [10:15]

How ML can optimize hardware speed [ 13:19]

Magnus’s Deep Learning Book [21:14]

Is understanding how ML models work important? [36:16]

Algorithms inspired by biological evolution [41:25]

How artificial general intelligence won’t be obtained by increasing model parameters alone [51:24]

Why there will always be a place for CNNs and RNNs [54:51]

How people can "transition" realistically into ML [1:09:15]


Additional materials: www.superdatascience.com/575</description>
      <pubDate>Tue, 17 May 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/bc31e6f0-1c32-11ef-9765-2f3ab253505f/image/9f5cea17e504cbff9fcbc015a786907b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, the Director of Architecture at NVIDIA, Dr. Magnus Ekman, joins Jon Krohn to discuss how machine learning, including deep learning, can optimize computer hardware design. The pair also review his exceptional book 'Learning Deep Learning.'</itunes:subtitle>
      <itunes:summary>In this episode, the Director of Architecture at NVIDIA, Dr. Magnus Ekman, joins Jon Krohn to discuss how machine learning, including deep learning, can optimize computer hardware design. The pair also review his exceptional book 'Learning Deep Learning.'

In this episode you will learn:

What hardware architects do [10:15]

How ML can optimize hardware speed [ 13:19]

Magnus’s Deep Learning Book [21:14]

Is understanding how ML models work important? [36:16]

Algorithms inspired by biological evolution [41:25]

How artificial general intelligence won’t be obtained by increasing model parameters alone [51:24]

Why there will always be a place for CNNs and RNNs [54:51]

How people can "transition" realistically into ML [1:09:15]


Additional materials: www.superdatascience.com/575</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, the Director of Architecture at NVIDIA, Dr. Magnus Ekman, joins Jon Krohn to discuss how machine learning, including deep learning, can optimize computer hardware design. The pair also review his exceptional book 'Learning Deep Learning.'</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What hardware architects do [10:15]</li>
<li>How ML can optimize hardware speed [ 13:19]</li>
<li>Magnus’s Deep Learning Book [21:14]</li>
<li>Is understanding how ML models work important? [36:16]</li>
<li>Algorithms inspired by biological evolution [41:25]</li>
<li>How artificial general intelligence won’t be obtained by increasing model parameters alone [51:24]</li>
<li>Why there will always be a place for CNNs and RNNs [54:51]</li>
<li>How people can "transition" realistically into ML [1:09:15]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/575">www.superdatascience.com/575</a></p>]]>
      </content:encoded>
      <itunes:duration>5014</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10631863]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5377555690.mp3?updated=1724658924" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>574: Music for Deep Work</title>
      <description>In this episode, Jon shares how the right music can power your productivity. It's no secret that he's a big fan of 'deep work,' but this week, he opens up about the artists, sites, and playlists that propel his productivity to new levels.

Additional materials: www.superdatascience.com/574</description>
      <pubDate>Fri, 13 May 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/bca3a95c-1c32-11ef-9765-2f4531e09d8a/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jon shares how the right music can power your productivity. It's no secret that he's a big fan of 'deep work,' but this week, he opens up about the artists, sites, and playlists that propel his productivity to new levels.</itunes:subtitle>
      <itunes:summary>In this episode, Jon shares how the right music can power your productivity. It's no secret that he's a big fan of 'deep work,' but this week, he opens up about the artists, sites, and playlists that propel his productivity to new levels.

Additional materials: www.superdatascience.com/574</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jon shares how the right music can power your productivity. It's no secret that he's a big fan of 'deep work,' but this week, he opens up about the artists, sites, and playlists that propel his productivity to new levels.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/574">www.superdatascience.com/574</a></p>]]>
      </content:encoded>
      <itunes:duration>232</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10605119]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7207293774.mp3?updated=1724658873" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>573: Automating ML Model Deployment</title>
      <description>In this episode, co-founder and CEO of Linea, Dr. Doris Xin, joins Jon Krohn to discuss how automating ML model deployment delivers groundbreaking change to data science productivity, and shares what it's like being the CEO of an exciting, early-stage tech start-up.

In this episode you will learn:

How Linea reduces ML model deployment down to a couple of lines of Python code [5:14]

Linea use cases [11:30]

How DAGs can 10x production workflow efficiency [22:12]

ML model graphlets and reducing wasted computation [24:14]

What future Doris envisions for autoML [35:23]

Doris’s day-to-day life as a CEO of an early-stage start-up [42:43]

What Doris looks for in the engineers and data scientists that she hires [52:21]

The future of Data Science and how to prepare best for it [53:58]


Additional materials: www.superdatascience.com/573</description>
      <pubDate>Tue, 10 May 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/bd0dfe42-1c32-11ef-9765-9377a6ee9645/image/46ec34a0e1fbfc2e2c6079389297dce1.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, co-founder and CEO of Linea, Dr. Doris Xin, joins Jon Krohn to discuss how automating ML model deployment delivers groundbreaking change to data science productivity, and shares what it's like being the CEO of an exciting, early-stage tech start-up.</itunes:subtitle>
      <itunes:summary>In this episode, co-founder and CEO of Linea, Dr. Doris Xin, joins Jon Krohn to discuss how automating ML model deployment delivers groundbreaking change to data science productivity, and shares what it's like being the CEO of an exciting, early-stage tech start-up.

In this episode you will learn:

How Linea reduces ML model deployment down to a couple of lines of Python code [5:14]

Linea use cases [11:30]

How DAGs can 10x production workflow efficiency [22:12]

ML model graphlets and reducing wasted computation [24:14]

What future Doris envisions for autoML [35:23]

Doris’s day-to-day life as a CEO of an early-stage start-up [42:43]

What Doris looks for in the engineers and data scientists that she hires [52:21]

The future of Data Science and how to prepare best for it [53:58]


Additional materials: www.superdatascience.com/573</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, co-founder and CEO of Linea, Dr. Doris Xin, joins Jon Krohn to discuss how automating ML model deployment delivers groundbreaking change to data science productivity, and shares what it's like being the CEO of an exciting, early-stage tech start-up.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>How Linea reduces ML model deployment down to a couple of lines of Python code [5:14]</li>
<li>Linea use cases [11:30]</li>
<li>How DAGs can 10x production workflow efficiency [22:12]</li>
<li>ML model graphlets and reducing wasted computation [24:14]</li>
<li>What future Doris envisions for autoML [35:23]</li>
<li>Doris’s day-to-day life as a CEO of an early-stage start-up [42:43]</li>
<li>What Doris looks for in the engineers and data scientists that she hires [52:21]</li>
<li>The future of Data Science and how to prepare best for it [53:58]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/573">www.superdatascience.com/573</a></p>]]>
      </content:encoded>
      <itunes:duration>3994</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10584730]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3764308518.mp3?updated=1724658855" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>572: Daily Habit #9: Avoiding Messages Until a Set Time Each Day</title>
      <description>In this episode, Jon shares his habit of blocking out two hours in his mornings that are free from email and social media distractions. Tune in to learn how this habit helps him deeply focus on his most delightful tasks of the day.

Additional materials: www.superdatascience.com/572</description>
      <pubDate>Fri, 06 May 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/bd82fd6e-1c32-11ef-9765-0f7171304bb6/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jon shares his habit of blocking out two hours in his mornings that are free from email and social media distractions. Tune in to learn how this habit helps him deeply focus on his most delightful tasks of the day.</itunes:subtitle>
      <itunes:summary>In this episode, Jon shares his habit of blocking out two hours in his mornings that are free from email and social media distractions. Tune in to learn how this habit helps him deeply focus on his most delightful tasks of the day.

Additional materials: www.superdatascience.com/572</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jon shares his habit of blocking out two hours in his mornings that are free from email and social media distractions. Tune in to learn how this habit helps him deeply focus on his most delightful tasks of the day.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/572">www.superdatascience.com/572</a></p>]]>
      </content:encoded>
      <itunes:duration>205</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10563527]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1050378477.mp3?updated=1724658819" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>571: Collaborative, No-Code Machine Learning</title>
      <description>Einblick co-founder and associate professor at MIT, Tim Kraska, joins Jon Krohn to discuss no-code collaboration tools for data science and uncovers the clever database and machine learning tricks under the hood of the visual data computing platform.

In this episode you will learn:

The inspiration behind Einblick [2:45]

Einblick's progressive approximation engine [6:43]

How no-code tools impact productivity [17:18]

The critical steps to become more data-driven as an organization [24:30]

How research universities like MIT support high-risk, long-term research [38:37]

How ML applied to databases enables them to be faster and more efficient [42:03]

How real-time collaboration environments like Google Docs are likely to become more widespread for data science tasks [ 49:24]


Additional materials: www.superdatascience.com/571</description>
      <pubDate>Tue, 03 May 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/bdf7718a-1c32-11ef-9765-0790ba495753/image/42c82623c01dadf52707f9be652e0ecf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Einblick co-founder and associate professor at MIT, Tim Kraska, joins Jon Krohn to discuss no-code collaboration tools for data science and uncovers the clever database and machine learning tricks under the hood of the visual data computing platform.</itunes:subtitle>
      <itunes:summary>Einblick co-founder and associate professor at MIT, Tim Kraska, joins Jon Krohn to discuss no-code collaboration tools for data science and uncovers the clever database and machine learning tricks under the hood of the visual data computing platform.

In this episode you will learn:

The inspiration behind Einblick [2:45]

Einblick's progressive approximation engine [6:43]

How no-code tools impact productivity [17:18]

The critical steps to become more data-driven as an organization [24:30]

How research universities like MIT support high-risk, long-term research [38:37]

How ML applied to databases enables them to be faster and more efficient [42:03]

How real-time collaboration environments like Google Docs are likely to become more widespread for data science tasks [ 49:24]


Additional materials: www.superdatascience.com/571</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Einblick co-founder and associate professor at MIT, Tim Kraska, joins Jon Krohn to discuss no-code collaboration tools for data science and uncovers the clever database and machine learning tricks under the hood of the visual data computing platform.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>The inspiration behind Einblick [2:45]</li>
<li>Einblick's progressive approximation engine [6:43]</li>
<li>How no-code tools impact productivity [17:18]</li>
<li>The critical steps to become more data-driven as an organization [24:30]</li>
<li>How research universities like MIT support high-risk, long-term research [38:37]</li>
<li>How ML applied to databases enables them to be faster and more efficient [42:03]</li>
<li>How real-time collaboration environments like Google Docs are likely to become more widespread for data science tasks [ 49:24]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/571">www.superdatascience.com/571</a></p>]]>
      </content:encoded>
      <itunes:duration>3459</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10540893]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8173697903.mp3?updated=1724658800" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>570: DALL-E 2: Stunning Photorealism from Any Text Prompt</title>
      <description>In this episode, Jon is back with another A.I. model breakthrough! He updates listeners on OpenAI's outstanding DALL-E 2 model. The new natural language processing model churns out staggering visual examples of whatever text your mind can dream up.

Additional materials: www.superdatascience.com/570</description>
      <pubDate>Fri, 29 Apr 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/be6dbf84-1c32-11ef-9765-8fb42bb15ed3/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jon is back with another A.I. model breakthrough! He updates listeners on OpenAI's outstanding DALL-E 2 model. The new natural language processing model churns out staggering visual examples of whatever text your mind can dream up.</itunes:subtitle>
      <itunes:summary>In this episode, Jon is back with another A.I. model breakthrough! He updates listeners on OpenAI's outstanding DALL-E 2 model. The new natural language processing model churns out staggering visual examples of whatever text your mind can dream up.

Additional materials: www.superdatascience.com/570</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jon is back with another A.I. model breakthrough! He updates listeners on OpenAI's outstanding DALL-E 2 model. The new natural language processing model churns out staggering visual examples of whatever text your mind can dream up.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/570">www.superdatascience.com/570</a></p>]]>
      </content:encoded>
      <itunes:duration>336</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10519783]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6758588853.mp3?updated=1724658767" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>569: A.I. For Crushing Humans at Poker and Board Games</title>
      <description>Research Scientist at Meta AI, Dr. Noam Brown, joins Jon Krohn to discuss his award-winning no-limit poker-playing algorithms and the real-world implications of his game-playing A.I. breakthroughs.

In this episode you will learn:

What Meta A.I. is and how it fits into Meta, the company [3:01]

Noam's award-winning no-limit poker-playing algorithms, Libratus and Pluribus algorithms. [4:33]

What game theory is and how does Noam integrate it into his models? [8:45]

The real-world implications of Noam’s game-playing A.I. breakthroughs [25:24]

Why Noam elected to become a researcher at a big tech firm instead of in academia [27:06]

The main barriers to getting AI game theory techniques beyond games to self-driving cars [30:16]

Recommendations for people who want to break into poker AI [37:45]


Additional materials: www.superdatascience.com/569</description>
      <pubDate>Tue, 26 Apr 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/bee0baca-1c32-11ef-9765-ff3b48c9d28f/image/b9298ba6b0274f64bd911235580d33cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Research Scientist at Meta AI, Dr. Noam Brown, joins Jon Krohn to discuss his award-winning no-limit poker-playing algorithms and the real-world implications of his game-playing A.I. breakthroughs.</itunes:subtitle>
      <itunes:summary>Research Scientist at Meta AI, Dr. Noam Brown, joins Jon Krohn to discuss his award-winning no-limit poker-playing algorithms and the real-world implications of his game-playing A.I. breakthroughs.

In this episode you will learn:

What Meta A.I. is and how it fits into Meta, the company [3:01]

Noam's award-winning no-limit poker-playing algorithms, Libratus and Pluribus algorithms. [4:33]

What game theory is and how does Noam integrate it into his models? [8:45]

The real-world implications of Noam’s game-playing A.I. breakthroughs [25:24]

Why Noam elected to become a researcher at a big tech firm instead of in academia [27:06]

The main barriers to getting AI game theory techniques beyond games to self-driving cars [30:16]

Recommendations for people who want to break into poker AI [37:45]


Additional materials: www.superdatascience.com/569</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Research Scientist at Meta AI, Dr. Noam Brown, joins Jon Krohn to discuss his award-winning no-limit poker-playing algorithms and the real-world implications of his game-playing A.I. breakthroughs.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What Meta A.I. is and how it fits into Meta, the company [3:01]</li>
<li>Noam's award-winning no-limit poker-playing algorithms, Libratus and Pluribus algorithms. [4:33]</li>
<li>What game theory is and how does Noam integrate it into his models? [8:45]</li>
<li>The real-world implications of Noam’s game-playing A.I. breakthroughs [25:24]</li>
<li>Why Noam elected to become a researcher at a big tech firm instead of in academia [27:06]</li>
<li>The main barriers to getting AI game theory techniques beyond games to self-driving cars [30:16]</li>
<li>Recommendations for people who want to break into poker AI [37:45]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/569">www.superdatascience.com/569</a></p>]]>
      </content:encoded>
      <itunes:duration>2675</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10498155]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8494743470.mp3?updated=1724658746" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>568: PaLM: Google's Breakthrough Natural Language Model</title>
      <description>In this episode, Jon updates listeners on one of the industry's biggest breakthroughs to date –Google's new natural language processing model, PaLM. The key innovation with PaLM is scaling up Google's Pathways modeling approach to half a trillion parameters — many-fold more parameters than had previously been trained using this approach.

Additional materials: www.superdatascience.com/568</description>
      <pubDate>Fri, 22 Apr 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/bf86c1a4-1c32-11ef-9765-ff6899823456/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jon updates listeners on one of the industry's biggest breakthroughs to date –Google's new natural language processing model, PaLM. The key innovation with PaLM is scaling up Google's Pathways modeling approach to half a trillion parameters — many-fold more parameters than had previously been trained using this approach.</itunes:subtitle>
      <itunes:summary>In this episode, Jon updates listeners on one of the industry's biggest breakthroughs to date –Google's new natural language processing model, PaLM. The key innovation with PaLM is scaling up Google's Pathways modeling approach to half a trillion parameters — many-fold more parameters than had previously been trained using this approach.

Additional materials: www.superdatascience.com/568</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jon updates listeners on one of the industry's biggest breakthroughs to date –Google's new natural language processing model, PaLM. The key innovation with PaLM is scaling up Google's Pathways modeling approach to half a trillion parameters — many-fold more parameters than had previously been trained using this approach.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/568">www.superdatascience.com/568</a></p>]]>
      </content:encoded>
      <itunes:duration>301</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10477505]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2075196696.mp3?updated=1724658713" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>567: Open-Access Publishing</title>
      <description>In this episode, the MIT Press Director and Publisher, Dr. Amy Brand, joins Jon Krohn to discuss open-access publishing in data science and how to address the inequalities that exist for women and minorities in STEM.

In this episode you will learn:

What it’s like to run the prestigious MIT Press [4:34]

How open access makes scholarly work more impactful [6:34]

How publishing outstanding STEM books for broader audiences, including for children, can help address STEM biases [19:28]

Amy's award-winning documentary Picture A Scientist [25:28]

What it's like to executive produce a documentary [37:24]

What can be done to change STEM to make it more welcoming to minorities [48:44]

The best open-source model going forward [58:26]

What fascinates Amy about natural language processing [1:01:30]

How author metadata in standardized taxonomies can help authors receive the credit they deserve [1:04:50]


Additional materials: www.superdatascience.com/567</description>
      <pubDate>Tue, 19 Apr 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c021e832-1c32-11ef-9765-b3b03943de29/image/6bdb7ce1cfdfe394f35c4bdac5e5af1b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, the MIT Press Director and Publisher, Dr. Amy Brand, joins Jon Krohn to discuss open-access publishing in data science and how to address the inequalities that exist for women and minorities in STEM.</itunes:subtitle>
      <itunes:summary>In this episode, the MIT Press Director and Publisher, Dr. Amy Brand, joins Jon Krohn to discuss open-access publishing in data science and how to address the inequalities that exist for women and minorities in STEM.

In this episode you will learn:

What it’s like to run the prestigious MIT Press [4:34]

How open access makes scholarly work more impactful [6:34]

How publishing outstanding STEM books for broader audiences, including for children, can help address STEM biases [19:28]

Amy's award-winning documentary Picture A Scientist [25:28]

What it's like to executive produce a documentary [37:24]

What can be done to change STEM to make it more welcoming to minorities [48:44]

The best open-source model going forward [58:26]

What fascinates Amy about natural language processing [1:01:30]

How author metadata in standardized taxonomies can help authors receive the credit they deserve [1:04:50]


Additional materials: www.superdatascience.com/567</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, the MIT Press Director and Publisher, Dr. Amy Brand, joins Jon Krohn to discuss open-access publishing in data science and how to address the inequalities that exist for women and minorities in STEM.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What it’s like to run the prestigious MIT Press [4:34]</li>
<li>How open access makes scholarly work more impactful [6:34]</li>
<li>How publishing outstanding STEM books for broader audiences, including for children, can help address STEM biases [19:28]</li>
<li>Amy's award-winning documentary Picture A Scientist [25:28]</li>
<li>What it's like to executive produce a documentary [37:24]</li>
<li>What can be done to change STEM to make it more welcoming to minorities [48:44]</li>
<li>The best open-source model going forward [58:26]</li>
<li>What fascinates Amy about natural language processing [1:01:30]</li>
<li>How author metadata in standardized taxonomies can help authors receive the credit they deserve [1:04:50]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/567">www.superdatascience.com/567</a></p>]]>
      </content:encoded>
      <itunes:duration>4666</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10457134]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1249353186.mp3?updated=1724658688" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>566: The Best Time to Plant a Tree</title>
      <description>In this episode, Jon reflects on the Chinese proverb: "The best time to plant a tree was 20 years ago. The second best time is now." He also challenges listeners to reflect on their long-term goals that have gone unfulfilled.

Additional materials: www.superdatascience.com/566</description>
      <pubDate>Fri, 15 Apr 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c098b5c0-1c32-11ef-9765-ff171775baf2/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jon reflects on the Chinese proverb: "The best time to plant a tree was 20 years ago. The second best time is now." He also challenges listeners to reflect on their long-term goals that have gone unfulfilled.</itunes:subtitle>
      <itunes:summary>In this episode, Jon reflects on the Chinese proverb: "The best time to plant a tree was 20 years ago. The second best time is now." He also challenges listeners to reflect on their long-term goals that have gone unfulfilled.

Additional materials: www.superdatascience.com/566</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jon reflects on the Chinese proverb: "The best time to plant a tree was 20 years ago. The second best time is now." He also challenges listeners to reflect on their long-term goals that have gone unfulfilled.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/566">www.superdatascience.com/566</a></p>]]>
      </content:encoded>
      <itunes:duration>226</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10437643]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7666051071.mp3?updated=1724658640" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>565: AGI: The Apocalypse Machine</title>
      <description>In this episode, Jeremie Harris dives into the stirring topic of AI Safety and the existential risks that Artificial General Intelligence poses to humankind.

In this episode you will learn:

Why mentorship is crucial in a data science career development [15:45]

Canadian vs American start-up ecosystems [24:18]

What is Artificial General Intelligence (AGI)? [38:50]

How Artificial Superintelligence could destroy the world [1:04:00]

How AGI could prove to be a panacea for humankind and life on the planet. [1:27:31]

How to become an AI safety expert [1:30:07]

Jeremie's day-to-day work life at Mercurius [1:35:39]


Additional materials: www.superdatascience.com/565</description>
      <pubDate>Tue, 12 Apr 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c116c690-1c32-11ef-9765-6bce4e77d842/image/2065e707bc94c41318c94b5568f6e0b2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jeremie Harris dives into the stirring topic of AI Safety and the existential risks that Artificial General Intelligence poses to humankind.</itunes:subtitle>
      <itunes:summary>In this episode, Jeremie Harris dives into the stirring topic of AI Safety and the existential risks that Artificial General Intelligence poses to humankind.

In this episode you will learn:

Why mentorship is crucial in a data science career development [15:45]

Canadian vs American start-up ecosystems [24:18]

What is Artificial General Intelligence (AGI)? [38:50]

How Artificial Superintelligence could destroy the world [1:04:00]

How AGI could prove to be a panacea for humankind and life on the planet. [1:27:31]

How to become an AI safety expert [1:30:07]

Jeremie's day-to-day work life at Mercurius [1:35:39]


Additional materials: www.superdatascience.com/565</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jeremie Harris dives into the stirring topic of AI Safety and the existential risks that Artificial General Intelligence poses to humankind.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Why mentorship is crucial in a data science career development [15:45]</li>
<li>Canadian vs American start-up ecosystems [24:18]</li>
<li>What is Artificial General Intelligence (AGI)? [38:50]</li>
<li>How Artificial Superintelligence could destroy the world [1:04:00]</li>
<li>How AGI could prove to be a panacea for humankind and life on the planet. [1:27:31]</li>
<li>How to become an AI safety expert [1:30:07]</li>
<li>Jeremie's day-to-day work life at Mercurius [1:35:39]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/565">www.superdatascience.com/565</a></p>]]>
      </content:encoded>
      <itunes:duration>7520</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10416603]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7785383533.mp3?updated=1724658611" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>564: Clem Delangue on Hugging Face and Transformers</title>
      <description>In this episode, Jon speaks with the CEO of Hugging Face, Clem Delangue, about open-source machine learning and transformer architectures, while attending the ScaleUp:AI Conference in New York.

Additional materials: www.superdatascience.com/564</description>
      <pubDate>Fri, 08 Apr 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c196e4a6-1c32-11ef-9765-df90f879bebb/image/5c0a1caa86b4c2e63661242ab27631f5.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jon speaks with the CEO of Hugging Face, Clem Delangue, about open-source machine learning and transformer architectures, while attending the ScaleUp:AI Conference in New York.</itunes:subtitle>
      <itunes:summary>In this episode, Jon speaks with the CEO of Hugging Face, Clem Delangue, about open-source machine learning and transformer architectures, while attending the ScaleUp:AI Conference in New York.

Additional materials: www.superdatascience.com/564</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jon speaks with the CEO of Hugging Face, Clem Delangue, about open-source machine learning and transformer architectures, while attending the ScaleUp:AI Conference in New York.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/564">www.superdatascience.com/564</a></p>]]>
      </content:encoded>
      <itunes:duration>1161</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10398478]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5670232785.mp3?updated=1724658555" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>563: How to Rock at Data Science — with Tina Huang</title>
      <description>In this episode, superstar data science YouTuber Tina Huang joins us to discuss what it's like to work at one of the world's largest tech companies, her strategies for efficient learning, and how best to prepare for a career in data science from scratch.

In this episode you will learn:

The key areas to focus on when getting started in data science [6:01]

Tina’s five steps to consistently doing anything [11:55]

Tina's day-to-day life as a data scientist at one of the world’s largest tech companies [20:02]

How Tina's computer science background helps her work [26:20]

Traditional banking culture vs big tech [32:12]

How Tina's background in pharmacology impacts her work in data science [36:15]

The software languages that Tina uses daily in her work [45:30]

How Tina’s SQL course practically prepares you for data science interviews [47:24]


Additional materials: www.superdatascience.com/563</description>
      <pubDate>Tue, 05 Apr 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c232e6c6-1c32-11ef-9765-17f512865efe/image/91e489d2c1a8841e99363faa4c55f425.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, superstar data science YouTuber Tina Huang joins us to discuss what it's like to work at one of the world's largest tech companies, her strategies for efficient learning, and how best to prepare for a career in data science from scratch.</itunes:subtitle>
      <itunes:summary>In this episode, superstar data science YouTuber Tina Huang joins us to discuss what it's like to work at one of the world's largest tech companies, her strategies for efficient learning, and how best to prepare for a career in data science from scratch.

In this episode you will learn:

The key areas to focus on when getting started in data science [6:01]

Tina’s five steps to consistently doing anything [11:55]

Tina's day-to-day life as a data scientist at one of the world’s largest tech companies [20:02]

How Tina's computer science background helps her work [26:20]

Traditional banking culture vs big tech [32:12]

How Tina's background in pharmacology impacts her work in data science [36:15]

The software languages that Tina uses daily in her work [45:30]

How Tina’s SQL course practically prepares you for data science interviews [47:24]


Additional materials: www.superdatascience.com/563</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, superstar data science YouTuber Tina Huang joins us to discuss what it's like to work at one of the world's largest tech companies, her strategies for efficient learning, and how best to prepare for a career in data science from scratch.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>The key areas to focus on when getting started in data science [6:01]</li>
<li>Tina’s five steps to consistently doing anything [11:55]</li>
<li>Tina's day-to-day life as a data scientist at one of the world’s largest tech companies [20:02]</li>
<li>How Tina's computer science background helps her work [26:20]</li>
<li>Traditional banking culture vs big tech [32:12]</li>
<li>How Tina's background in pharmacology impacts her work in data science [36:15]</li>
<li>The software languages that Tina uses daily in her work [45:30]</li>
<li>How Tina’s SQL course practically prepares you for data science interviews [47:24]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/563">www.superdatascience.com/563</a></p>]]>
      </content:encoded>
      <itunes:duration>3873</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10380830]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9366916668.mp3?updated=1724658523" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>562: Daily Habit #8: Math or Computer Science Exercise</title>
      <description>In this episode, Jon shares his daily technical exercise, which is part of an extensive habit tracking system that allows him to achieve more, create more structure within his day, and cut out bad habits. By completing mathematics, computer science, or programming exercise daily, Jon is able to hone his technical skills in a limitlessly broad field and open new professional opportunities in the long run.

Additional materials: www.superdatascience.com/562</description>
      <pubDate>Fri, 01 Apr 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c2b0f444-1c32-11ef-9765-fba0d5e72b09/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jon shares his daily technical exercise, which is part of an extensive habit tracking system that allows him to achieve more, create more structure within his day, and cut out bad habits. By completing mathematics, computer science, or programming exercise daily, Jon is able to hone his technical skills in a limitlessly broad field and open new professional opportunities in the long run.</itunes:subtitle>
      <itunes:summary>In this episode, Jon shares his daily technical exercise, which is part of an extensive habit tracking system that allows him to achieve more, create more structure within his day, and cut out bad habits. By completing mathematics, computer science, or programming exercise daily, Jon is able to hone his technical skills in a limitlessly broad field and open new professional opportunities in the long run.

Additional materials: www.superdatascience.com/562</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jon shares his daily technical exercise, which is part of an extensive habit tracking system that allows him to achieve more, create more structure within his day, and cut out bad habits. By completing mathematics, computer science, or programming exercise daily, Jon is able to hone his technical skills in a limitlessly broad field and open new professional opportunities in the long run.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/562">www.superdatascience.com/562</a></p>]]>
      </content:encoded>
      <itunes:duration>333</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10540661]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3857447528.mp3?updated=1724658484" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>561: Engineering Data APIs</title>
      <description>In this episode, Ribbon Health CTO Nate Fox joins us to discuss the ins and outs of APIs. Tune in to hear him share how he and his team build out APIs from scratch; how they ensure the uptime and reliability of APIs and how they leverage machine learning to improve the quality of healthcare delivery and maximize their social impact.

In this episode you will learn:

What are APIs? [13:20]

How Ribbon Health’s data API leverages ML models to improve the quality of healthcare delivery [16:08]

How to design a data API from scratch [20:00]

How to ensure the uptime and reliability of APIs [25:28]

How Ribbon uses knowledge graphs, manually labeled data samples, and an XGBoost model with hundreds of inputs to assign a confidence score [27:14]

Nate’s favorite tool for easily scaling up the impact of data science [37:40]

What is Nate’s day-to-day like? [34:34]

The qualities Nate looks for when hiring data scientists [39:50]

How scientists and engineers can make a big social impact in health technology [42:50]


Additional materials: www.superdatascience.com/561</description>
      <pubDate>Tue, 29 Mar 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c3265fcc-1c32-11ef-9765-a39e12e01863/image/0c78a1c133adf1c61d8c47533d0c0c75.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Ribbon Health CTO Nate Fox joins us to discuss the ins and outs of APIs. Tune in to hear him share how he and his team build out APIs from scratch; how they ensure the uptime and reliability of APIs and how they leverage machine learning to improve the quality of healthcare delivery and maximize their social impact.</itunes:subtitle>
      <itunes:summary>In this episode, Ribbon Health CTO Nate Fox joins us to discuss the ins and outs of APIs. Tune in to hear him share how he and his team build out APIs from scratch; how they ensure the uptime and reliability of APIs and how they leverage machine learning to improve the quality of healthcare delivery and maximize their social impact.

In this episode you will learn:

What are APIs? [13:20]

How Ribbon Health’s data API leverages ML models to improve the quality of healthcare delivery [16:08]

How to design a data API from scratch [20:00]

How to ensure the uptime and reliability of APIs [25:28]

How Ribbon uses knowledge graphs, manually labeled data samples, and an XGBoost model with hundreds of inputs to assign a confidence score [27:14]

Nate’s favorite tool for easily scaling up the impact of data science [37:40]

What is Nate’s day-to-day like? [34:34]

The qualities Nate looks for when hiring data scientists [39:50]

How scientists and engineers can make a big social impact in health technology [42:50]


Additional materials: www.superdatascience.com/561</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Ribbon Health CTO Nate Fox joins us to discuss the ins and outs of APIs. Tune in to hear him share how he and his team build out APIs from scratch; how they ensure the uptime and reliability of APIs and how they leverage machine learning to improve the quality of healthcare delivery and maximize their social impact.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What are APIs? [13:20]</li>
<li>How Ribbon Health’s data API leverages ML models to improve the quality of healthcare delivery [16:08]</li>
<li>How to design a data API from scratch [20:00]</li>
<li>How to ensure the uptime and reliability of APIs [25:28]</li>
<li>How Ribbon uses knowledge graphs, manually labeled data samples, and an XGBoost model with hundreds of inputs to assign a confidence score [27:14]</li>
<li>Nate’s favorite tool for easily scaling up the impact of data science [37:40]</li>
<li>What is Nate’s day-to-day like? [34:34]</li>
<li>The qualities Nate looks for when hiring data scientists [39:50]</li>
<li>How scientists and engineers can make a big social impact in health technology [42:50]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/561">www.superdatascience.com/561</a></p>]]>
      </content:encoded>
      <itunes:duration>3234</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10337652]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8814426491.mp3?updated=1724658462" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>560: Daily Habit #7: Read Two Pages</title>
      <description>In this episode, Jon shares his daily habit of reading two pages and explains how it has transformed his productivity.

Additional materials: www.superdatascience.com/560</description>
      <pubDate>Fri, 25 Mar 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c3aecfce-1c32-11ef-9765-9b9518efc90f/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jon shares his daily habit of reading two pages and explains how it has transformed his productivity.</itunes:subtitle>
      <itunes:summary>In this episode, Jon shares his daily habit of reading two pages and explains how it has transformed his productivity.

Additional materials: www.superdatascience.com/560</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jon shares his daily habit of reading two pages and explains how it has transformed his productivity.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/560">www.superdatascience.com/560</a></p>]]>
      </content:encoded>
      <itunes:duration>259</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10309403]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2361309775.mp3?updated=1724658191" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>559: GPT-3 for Natural Language Processing</title>
      <description>Natural language processing expert and PhD student Melanie Subbiah sits down with Jon Krohn to discuss GPT-3, its strengths and weaknesses, and the future of NLP.

In this episode you will learn:

What is GPT-3? [6:24]

The strengths and weaknesses of GPT-3 [14:38]

What is autoregression? [18:03]

GPT-3's new fine-tuning abilities [20:02]

Bias issues with GPT-3 [22:47]

The future of natural language processing models [27:54]

How Melanie ended up working at OpenAI [38:13]

Melanie’s self-study process [42:19]

Melanie's work on OpenAI API [45:45]

How to address the climate change and bias issues that cloud discussions of large natural language models [49:40]

Why Melanie chose to do a PhD at Columbia University [1:01:17]

The machine learning tools Melanie’s most excited about [1:08:09]


Additional materials: www.superdatascience.com/559</description>
      <pubDate>Tue, 22 Mar 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c427a8b8-1c32-11ef-9765-238a0f67e209/image/b11ec6c8fb09083b84fd95a29f46bf03.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Natural language processing expert and PhD student Melanie Subbiah sits down with Jon Krohn to discuss GPT-3, its strengths and weaknesses, and the future of NLP.</itunes:subtitle>
      <itunes:summary>Natural language processing expert and PhD student Melanie Subbiah sits down with Jon Krohn to discuss GPT-3, its strengths and weaknesses, and the future of NLP.

In this episode you will learn:

What is GPT-3? [6:24]

The strengths and weaknesses of GPT-3 [14:38]

What is autoregression? [18:03]

GPT-3's new fine-tuning abilities [20:02]

Bias issues with GPT-3 [22:47]

The future of natural language processing models [27:54]

How Melanie ended up working at OpenAI [38:13]

Melanie’s self-study process [42:19]

Melanie's work on OpenAI API [45:45]

How to address the climate change and bias issues that cloud discussions of large natural language models [49:40]

Why Melanie chose to do a PhD at Columbia University [1:01:17]

The machine learning tools Melanie’s most excited about [1:08:09]


Additional materials: www.superdatascience.com/559</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Natural language processing expert and PhD student Melanie Subbiah sits down with Jon Krohn to discuss GPT-3, its strengths and weaknesses, and the future of NLP.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What is GPT-3? [6:24]</li>
<li>The strengths and weaknesses of GPT-3 [14:38]</li>
<li>What is autoregression? [18:03]</li>
<li>GPT-3's new fine-tuning abilities [20:02]</li>
<li>Bias issues with GPT-3 [22:47]</li>
<li>The future of natural language processing models [27:54]</li>
<li>How Melanie ended up working at OpenAI [38:13]</li>
<li>Melanie’s self-study process [42:19]</li>
<li>Melanie's work on OpenAI API [45:45]</li>
<li>How to address the climate change and bias issues that cloud discussions of large natural language models [49:40]</li>
<li>Why Melanie chose to do a PhD at Columbia University [1:01:17]</li>
<li>The machine learning tools Melanie’s most excited about [1:08:09]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/559">www.superdatascience.com/559</a></p>]]>
      </content:encoded>
      <itunes:duration>5298</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10295052]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1619993490.mp3?updated=1724658169" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>558: Jon's Answers to Questions on Machine Learning</title>
      <description>In this episode, Jon shares the key topics he recently discussed with the Open Data Science Conference. From the approach behind his extensive machine learning and deep learning content library to revealing the key tools and software he uses daily, get to know Jon and his process a little better.

Additional materials: www.superdatascience.com/558</description>
      <pubDate>Fri, 18 Mar 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c49b0b3c-1c32-11ef-9765-c7fd9e08434c/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jon shares the key topics he recently discussed with the Open Data Science Conference. From the approach behind his extensive machine learning and deep learning content library to revealing the key tools and software he uses daily, get to know Jon and his process a little better.</itunes:subtitle>
      <itunes:summary>In this episode, Jon shares the key topics he recently discussed with the Open Data Science Conference. From the approach behind his extensive machine learning and deep learning content library to revealing the key tools and software he uses daily, get to know Jon and his process a little better.

Additional materials: www.superdatascience.com/558</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jon shares the key topics he recently discussed with the Open Data Science Conference. From the approach behind his extensive machine learning and deep learning content library to revealing the key tools and software he uses daily, get to know Jon and his process a little better.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/558">www.superdatascience.com/558</a></p>]]>
      </content:encoded>
      <itunes:duration>415</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10266787]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9002971725.mp3?updated=1724658121" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>557: Effective Pandas</title>
      <description>Pandas expert Matt Harrison sits down with Jon Krohn to discuss tips, tricks and best practices for Pandas learning and mastery.

In this episode you will learn:

Pros and cons of self-publishing and working with a publisher [5:05]

Matt's six tips for using Pandas [17:13]

The best way for corporate teams to level up their skills [40:04]

How to learn anything effectively [47:14]

Matt’s tricks for staying motivated [50:00]

Matt’s recommendations for using Git and the Unix command line [1:00:14]

Matt’s recommended software libraries for working with tabular data [1:19:45]


Additional materials: www.superdatascience.com/557</description>
      <pubDate>Tue, 15 Mar 2022 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c50e76ee-1c32-11ef-9765-4791f69b1a34/image/a0154be88e0e83d1809c5de86f36a9b7.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Pandas expert Matt Harrison sits down with Jon Krohn to discuss tips, tricks and best practices for Pandas learning and mastery.</itunes:subtitle>
      <itunes:summary>Pandas expert Matt Harrison sits down with Jon Krohn to discuss tips, tricks and best practices for Pandas learning and mastery.

In this episode you will learn:

Pros and cons of self-publishing and working with a publisher [5:05]

Matt's six tips for using Pandas [17:13]

The best way for corporate teams to level up their skills [40:04]

How to learn anything effectively [47:14]

Matt’s tricks for staying motivated [50:00]

Matt’s recommendations for using Git and the Unix command line [1:00:14]

Matt’s recommended software libraries for working with tabular data [1:19:45]


Additional materials: www.superdatascience.com/557</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Pandas expert Matt Harrison sits down with Jon Krohn to discuss tips, tricks and best practices for Pandas learning and mastery.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Pros and cons of self-publishing and working with a publisher [5:05]</li>
<li>Matt's six tips for using Pandas [17:13]</li>
<li>The best way for corporate teams to level up their skills [40:04]</li>
<li>How to learn anything effectively [47:14]</li>
<li>Matt’s tricks for staying motivated [50:00]</li>
<li>Matt’s recommendations for using Git and the Unix command line [1:00:14]</li>
<li>Matt’s recommended software libraries for working with tabular data [1:19:45]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/557">www.superdatascience.com/557</a></p>]]>
      </content:encoded>
      <itunes:duration>5456</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7624538050.mp3?updated=1724658100" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>556: Jon's Machine Learning Courses</title>
      <description>Discover Jon’s extensive library of machine learning content and learn why Jon's Machine Learning House forms the knowledge structure of an outstanding data scientist or ML engineer.

Additional materials: www.superdatascience.com/556</description>
      <pubDate>Fri, 11 Mar 2022 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c58f1dda-1c32-11ef-9765-df3584c59281/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Discover Jon’s extensive library of machine learning content and learn why Jon's Machine Learning House forms the knowledge structure of an outstanding data scientist or ML engineer.</itunes:subtitle>
      <itunes:summary>Discover Jon’s extensive library of machine learning content and learn why Jon's Machine Learning House forms the knowledge structure of an outstanding data scientist or ML engineer.

Additional materials: www.superdatascience.com/556</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Discover Jon’s extensive library of machine learning content and learn why Jon's Machine Learning House forms the knowledge structure of an outstanding data scientist or ML engineer.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/556">www.superdatascience.com/556</a></p>]]>
      </content:encoded>
      <itunes:duration>427</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10223687]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4376113229.mp3?updated=1724658066" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>555: Sports Analytics and 66 Days of Data with Ken Jee</title>
      <description>Data scientist and Youtuber Ken Jee joins Jon Krohn for a deep dive into the world of sports analytics and brings us behind the makings of his large, online data science community.

In this episode you will learn:

The inspiration behind Ken’s YouTube videos [18:03]

Ken’s four steps for getting started in data science [24:18]

How sports analytics is transforming sports like golf [33:32]

Ken’s favorite tools for software scripting as well as for production code development [41:10]

How the #66DaysofData hashtag can supercharge your capacity as a data scientist [42:51]

Ken’s data science podcast Ken’s Nearest Neighbors [54:11]

LinkedIn Q&amp;A [1:00:32]


Additional materials: www.superdatascience.com/555</description>
      <pubDate>Tue, 08 Mar 2022 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c6089c46-1c32-11ef-9765-93761520a933/image/5476de7b3b2383cc2a7ae9905de0dcdd.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Data scientist and Youtuber Ken Jee joins Jon Krohn for a deep dive into the world of sports analytics and brings us behind the makings of his large, online data science community.</itunes:subtitle>
      <itunes:summary>Data scientist and Youtuber Ken Jee joins Jon Krohn for a deep dive into the world of sports analytics and brings us behind the makings of his large, online data science community.

In this episode you will learn:

The inspiration behind Ken’s YouTube videos [18:03]

Ken’s four steps for getting started in data science [24:18]

How sports analytics is transforming sports like golf [33:32]

Ken’s favorite tools for software scripting as well as for production code development [41:10]

How the #66DaysofData hashtag can supercharge your capacity as a data scientist [42:51]

Ken’s data science podcast Ken’s Nearest Neighbors [54:11]

LinkedIn Q&amp;A [1:00:32]


Additional materials: www.superdatascience.com/555</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Data scientist and Youtuber Ken Jee joins Jon Krohn for a deep dive into the world of sports analytics and brings us behind the makings of his large, online data science community.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>The inspiration behind Ken’s YouTube videos [18:03]</li>
<li>Ken’s four steps for getting started in data science [24:18]</li>
<li>How sports analytics is transforming sports like golf [33:32]</li>
<li>Ken’s favorite tools for software scripting as well as for production code development [41:10]</li>
<li>How the <a href="https://soundcloud.com/tags/66DaysofData">#66DaysofData</a> hashtag can supercharge your capacity as a data scientist [42:51]</li>
<li>Ken’s data science podcast Ken’s Nearest Neighbors [54:11]</li>
<li>LinkedIn Q&amp;A [1:00:32]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/555">www.superdatascience.com/555</a></p>]]>
      </content:encoded>
      <itunes:duration>4420</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10209657]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3339310784.mp3?updated=1724658045" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>554: Jon's Deep Learning Courses</title>
      <description>In this episode, Jon shares where you can find his extensive deep learning video content and courses. Tune in to learn more about his deep learning curriculum and where you can learn for free.

Additional materials: www.superdatascience.com/554</description>
      <pubDate>Fri, 04 Mar 2022 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c689679a-1c32-11ef-9765-63ea62e26fc3/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jon shares where you can find his extensive deep learning video content and courses. Tune in to learn more about his deep learning curriculum and where you can learn for free.</itunes:subtitle>
      <itunes:summary>In this episode, Jon shares where you can find his extensive deep learning video content and courses. Tune in to learn more about his deep learning curriculum and where you can learn for free.

Additional materials: www.superdatascience.com/554</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jon shares where you can find his extensive deep learning video content and courses. Tune in to learn more about his deep learning curriculum and where you can learn for free.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/554">www.superdatascience.com/554</a></p>]]>
      </content:encoded>
      <itunes:duration>320</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10180209]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8059611602.mp3?updated=1724658012" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>553: The Statistics and Machine Learning Quests of Dr. Josh Starmer</title>
      <description>In this episode, Dr. Josh Starmer, the creative, musical genius behind the wildly popular YouTube channel StatQuest joins the podcast to discuss statistics, learning and communication secrets, and how he grew his YouTube channel to over 650,000 subscribers.

In this episode you will learn:

The inspiration behind Josh’s YouTube channel [18:39]

Josh's simple approach to learning something new [34:25]

Josh's secret tool for creating YouTube videos with over a million views [51:01]

The StatQuest Illustrated Guide to Machine Learning [53:34]

How and when Josh uses R vs. Python [1:07:53]

How to cluster any types of data using the R randomForest package [1:11:24]

Why Josh left his academic career [1:14:24]

The two stats concepts Josh thinks everyone should know [1:38:50]


Additional materials: www.superdatascience.com/553</description>
      <pubDate>Tue, 01 Mar 2022 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c707a024-1c32-11ef-9765-b7321bd5298d/image/89469cce7b0c0b210d5f2189073fce84.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Dr. Josh Starmer, the creative, musical genius behind the wildly popular YouTube channel StatQuest joins the podcast to discuss statistics, learning and communication secrets, and how he grew his YouTube channel to over 650,000 subscribers.</itunes:subtitle>
      <itunes:summary>In this episode, Dr. Josh Starmer, the creative, musical genius behind the wildly popular YouTube channel StatQuest joins the podcast to discuss statistics, learning and communication secrets, and how he grew his YouTube channel to over 650,000 subscribers.

In this episode you will learn:

The inspiration behind Josh’s YouTube channel [18:39]

Josh's simple approach to learning something new [34:25]

Josh's secret tool for creating YouTube videos with over a million views [51:01]

The StatQuest Illustrated Guide to Machine Learning [53:34]

How and when Josh uses R vs. Python [1:07:53]

How to cluster any types of data using the R randomForest package [1:11:24]

Why Josh left his academic career [1:14:24]

The two stats concepts Josh thinks everyone should know [1:38:50]


Additional materials: www.superdatascience.com/553</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Dr. Josh Starmer, the creative, musical genius behind the wildly popular YouTube channel StatQuest joins the podcast to discuss statistics, learning and communication secrets, and how he grew his YouTube channel to over 650,000 subscribers.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>The inspiration behind Josh’s YouTube channel [18:39]</li>
<li>Josh's simple approach to learning something new [34:25]</li>
<li>Josh's secret tool for creating YouTube videos with over a million views [51:01]</li>
<li>The StatQuest Illustrated Guide to Machine Learning [53:34]</li>
<li>How and when Josh uses R vs. Python [1:07:53]</li>
<li>How to cluster any types of data using the R randomForest package [1:11:24]</li>
<li>Why Josh left his academic career [1:14:24]</li>
<li>The two stats concepts Josh thinks everyone should know [1:38:50]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/553">www.superdatascience.com/553</a></p>]]>
      </content:encoded>
      <itunes:duration>6535</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10165091]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7839098000.mp3?updated=1724657991" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>552: The Most Popular SuperDataScience Episodes of 2021</title>
      <description>In this episode of Five-Minute Friday, Jon recaps the most popular SuperDataScience podcast episodes from 2021. See what you might have missed and catch up today!

Additional materials: www.superdatascience.com/552</description>
      <pubDate>Fri, 25 Feb 2022 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c76fb5e2-1c32-11ef-9765-1f880c9e8b92/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of Five-Minute Friday, Jon recaps the most popular SuperDataScience podcast episodes from 2021. See what you might have missed and catch up today!</itunes:subtitle>
      <itunes:summary>In this episode of Five-Minute Friday, Jon recaps the most popular SuperDataScience podcast episodes from 2021. See what you might have missed and catch up today!

Additional materials: www.superdatascience.com/552</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of Five-Minute Friday, Jon recaps the most popular SuperDataScience podcast episodes from 2021. See what you might have missed and catch up today!</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/552">www.superdatascience.com/552</a></p>]]>
      </content:encoded>
      <itunes:duration>277</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10135177]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4375949366.mp3?updated=1724657961" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>551: Deep Reinforcement Learning — with Wah Loon Keng</title>
      <description>In this episode, gifted author and software engineer Wah Loon Keng joins the podcast to dive deep into reinforcement learning. From its history to limitations, modern industrial applications, and future developments– there's no better expert to learn from if you want to know more about this complex topic.

In this episode you will learn:

What is reinforcement learning? [4:50]

Deep reinforcement learning vs reinforcement learning [13:17]

A timeline of reinforcement learning breakthroughs [16:17]

The limitations of deep RL today [39:53]

Deep RL applications [53:10]

Keng's open-source SLM-Lab framework [57:51]

Keng’s responsibilities as an AI engineer [1:02:17]

What is the future of RL? [1:08:05]


Additional materials: www.superdatascience.com/551</description>
      <pubDate>Tue, 22 Feb 2022 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c7e9366a-1c32-11ef-9765-ef0aa3202ab4/image/b54e399be5cddbee158fa5a569ed1e7e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, gifted author and software engineer Wah Loon Keng joins the podcast to dive deep into reinforcement learning. From its history to limitations, modern industrial applications, and future developments– there's no better expert to learn from if you want to know more about this complex topic.</itunes:subtitle>
      <itunes:summary>In this episode, gifted author and software engineer Wah Loon Keng joins the podcast to dive deep into reinforcement learning. From its history to limitations, modern industrial applications, and future developments– there's no better expert to learn from if you want to know more about this complex topic.

In this episode you will learn:

What is reinforcement learning? [4:50]

Deep reinforcement learning vs reinforcement learning [13:17]

A timeline of reinforcement learning breakthroughs [16:17]

The limitations of deep RL today [39:53]

Deep RL applications [53:10]

Keng's open-source SLM-Lab framework [57:51]

Keng’s responsibilities as an AI engineer [1:02:17]

What is the future of RL? [1:08:05]


Additional materials: www.superdatascience.com/551</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, gifted author and software engineer Wah Loon Keng joins the podcast to dive deep into reinforcement learning. From its history to limitations, modern industrial applications, and future developments– there's no better expert to learn from if you want to know more about this complex topic.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What is reinforcement learning? [4:50]</li>
<li>Deep reinforcement learning vs reinforcement learning [13:17]</li>
<li>A timeline of reinforcement learning breakthroughs [16:17]</li>
<li>The limitations of deep RL today [39:53]</li>
<li>Deep RL applications [53:10]</li>
<li>Keng's open-source SLM-Lab framework [57:51]</li>
<li>Keng’s responsibilities as an AI engineer [1:02:17]</li>
<li>What is the future of RL? [1:08:05]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/551">www.superdatascience.com/551</a></p>]]>
      </content:encoded>
      <itunes:duration>4864</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10120996]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6587655082.mp3?updated=1724657939" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>550: Daily Habit #6: Write Morning Pages</title>
      <description>Jon is back with another Five-Minute Friday habit-tracking episode! Listen in as he explains how writing morning pages has helped his data science work flourish with creativity. Inspired by Julia Cameron's book The Artist's Way, he details his morning pages routine and how it kickstarted a new chapter in his career.

Additional materials: www.superdatascience.com/550</description>
      <pubDate>Fri, 18 Feb 2022 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c85d4ca8-1c32-11ef-9765-8bbadf6155ff/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon is back with another Five-Minute Friday habit-tracking episode! Listen in as he explains how writing morning pages has helped his data science work flourish with creativity. Inspired by Julia Cameron's book The Artist's Way, he details his morning pages routine and how it kickstarted a new chapter in his career.</itunes:subtitle>
      <itunes:summary>Jon is back with another Five-Minute Friday habit-tracking episode! Listen in as he explains how writing morning pages has helped his data science work flourish with creativity. Inspired by Julia Cameron's book The Artist's Way, he details his morning pages routine and how it kickstarted a new chapter in his career.

Additional materials: www.superdatascience.com/550</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon is back with another Five-Minute Friday habit-tracking episode! Listen in as he explains how writing morning pages has helped his data science work flourish with creativity. Inspired by Julia Cameron's book The Artist's Way, he details his morning pages routine and how it kickstarted a new chapter in his career.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/550">www.superdatascience.com/550</a></p>]]>
      </content:encoded>
      <itunes:duration>247</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10078204]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5705595668.mp3?updated=1724657903" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>549: Engineering Natural Language Models — with Lauren Zhu</title>
      <description>In this episode, Glean software engineer and Stanford graduate Lauren Zhu joins us to discuss her role at a fast-growing startup, working on natural language processing projects, and how she remains inspired by pursuing her side passions.

In this episode you will learn:

Lauren's experience as a course assistant [5:53]

Stanford's Hacking the Coronavirus Course [11:53]

How do you empower minority groups in AI [19:45]

Lauren on zero-shot multilingual neural machine translation [23:25]

Lauren's work at Glean [27:58]

The Contrary Talent Network [34:30]

The tools Lauren uses at Glean [43:39]

The most important skills to possess as a data scientist [47:29]


Additional materials: www.superdatascience.com/549</description>
      <pubDate>Tue, 15 Feb 2022 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c8d65ea4-1c32-11ef-9765-2b6b498d62ae/image/c543fd61a6c22037ad0a25b596722e3e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Glean software engineer and Stanford graduate Lauren Zhu joins us to discuss her role at a fast-growing startup, working on natural language processing projects, and how she remains inspired by pursuing her side passions.</itunes:subtitle>
      <itunes:summary>In this episode, Glean software engineer and Stanford graduate Lauren Zhu joins us to discuss her role at a fast-growing startup, working on natural language processing projects, and how she remains inspired by pursuing her side passions.

In this episode you will learn:

Lauren's experience as a course assistant [5:53]

Stanford's Hacking the Coronavirus Course [11:53]

How do you empower minority groups in AI [19:45]

Lauren on zero-shot multilingual neural machine translation [23:25]

Lauren's work at Glean [27:58]

The Contrary Talent Network [34:30]

The tools Lauren uses at Glean [43:39]

The most important skills to possess as a data scientist [47:29]


Additional materials: www.superdatascience.com/549</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Glean software engineer and Stanford graduate Lauren Zhu joins us to discuss her role at a fast-growing startup, working on natural language processing projects, and how she remains inspired by pursuing her side passions.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Lauren's experience as a course assistant [5:53]</li>
<li>Stanford's Hacking the Coronavirus Course [11:53]</li>
<li>How do you empower minority groups in AI [19:45]</li>
<li>Lauren on zero-shot multilingual neural machine translation [23:25]</li>
<li>Lauren's work at Glean [27:58]</li>
<li>The Contrary Talent Network [34:30]</li>
<li>The tools Lauren uses at Glean [43:39]</li>
<li>The most important skills to possess as a data scientist [47:29]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/549">www.superdatascience.com/549</a></p>]]>
      </content:encoded>
      <itunes:duration>3968</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10078014]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3464528605.mp3?updated=1724657877" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>548: Daily Habit #5: Meditate</title>
      <description>Our Five-Minute Friday series on habit tracking returns with a look at one of Jon's daily mindfulness habits–meditation. Learn how to keep this habit going for the long run and discover which tools help Jon stay on track.

Additional materials: www.superdatascience.com/548</description>
      <pubDate>Fri, 11 Feb 2022 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c94c07c6-1c32-11ef-9765-2347790dac78/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Our Five-Minute Friday series on habit tracking returns with a look at one of Jon's daily mindfulness habits–meditation. Learn how to keep this habit going for the long run and discover which tools help Jon stay on track.</itunes:subtitle>
      <itunes:summary>Our Five-Minute Friday series on habit tracking returns with a look at one of Jon's daily mindfulness habits–meditation. Learn how to keep this habit going for the long run and discover which tools help Jon stay on track.

Additional materials: www.superdatascience.com/548</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Our Five-Minute Friday series on habit tracking returns with a look at one of Jon's daily mindfulness habits–meditation. Learn how to keep this habit going for the long run and discover which tools help Jon stay on track.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/548">www.superdatascience.com/548</a></p>]]>
      </content:encoded>
      <itunes:duration>220</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10048441]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9741422092.mp3?updated=1724657832" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>547: How Genes Influence Behavior — with Prof. Jonathan Flint</title>
      <description>In this episode, Dr. Jonathan Flint, Professor of Psychiatry and Biobehavioral Sciences at the University of California Los Angeles, joins us to discuss how he uses data science and machine learning to explore the link between genetics and depression.

In this episode you will learn:

Johnathan's background [2:53]

How we know that genetics plays a role in complex human behaviors including psychiatric disorders like anxiety, depression, and schizophrenia [8:00]

The role that data science and ML play in modern genetics research [15:08]

About Jonathan book "How Genes Influence Behavior" [19:45]

The day-to-day life of a world-class medical sciences researcher [32:24]

The open-source software libraries that Jonathan uses for data modeling [40:33]

A single question you can ask to prevent a severely depressed person from committing suicide [52:00]

LinkedIn Q&amp;A [54:41]

The future of psychiatric treatments [1:05:35]


Additional materials: www.superdatascience.com/547</description>
      <pubDate>Tue, 08 Feb 2022 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c9c942d6-1c32-11ef-9765-97d83d601255/image/f3fa484e0434c9b9a91e9a4e1fbbd171.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Dr. Jonathan Flint, Professor of Psychiatry and Biobehavioral Sciences at the University of California Los Angeles, joins us to discuss how he uses data science and machine learning to explore the link between genetics and depression.</itunes:subtitle>
      <itunes:summary>In this episode, Dr. Jonathan Flint, Professor of Psychiatry and Biobehavioral Sciences at the University of California Los Angeles, joins us to discuss how he uses data science and machine learning to explore the link between genetics and depression.

In this episode you will learn:

Johnathan's background [2:53]

How we know that genetics plays a role in complex human behaviors including psychiatric disorders like anxiety, depression, and schizophrenia [8:00]

The role that data science and ML play in modern genetics research [15:08]

About Jonathan book "How Genes Influence Behavior" [19:45]

The day-to-day life of a world-class medical sciences researcher [32:24]

The open-source software libraries that Jonathan uses for data modeling [40:33]

A single question you can ask to prevent a severely depressed person from committing suicide [52:00]

LinkedIn Q&amp;A [54:41]

The future of psychiatric treatments [1:05:35]


Additional materials: www.superdatascience.com/547</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Dr. Jonathan Flint, Professor of Psychiatry and Biobehavioral Sciences at the University of California Los Angeles, joins us to discuss how he uses data science and machine learning to explore the link between genetics and depression.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Johnathan's background [2:53]</li>
<li>How we know that genetics plays a role in complex human behaviors including psychiatric disorders like anxiety, depression, and schizophrenia [8:00]</li>
<li>The role that data science and ML play in modern genetics research [15:08]</li>
<li>About Jonathan book "How Genes Influence Behavior" [19:45]</li>
<li>The day-to-day life of a world-class medical sciences researcher [32:24]</li>
<li>The open-source software libraries that Jonathan uses for data modeling [40:33]</li>
<li>A single question you can ask to prevent a severely depressed person from committing suicide [52:00]</li>
<li>LinkedIn Q&amp;A [54:41]</li>
<li>The future of psychiatric treatments [1:05:35]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/547">www.superdatascience.com/547</a></p>]]>
      </content:encoded>
      <itunes:duration>4572</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10033465]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9344558375.mp3?updated=1724657808" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>546: Daily Habit #4: Alternate-Nostril Breathing</title>
      <description>Our Five-Minute Friday habit-tracking series continues! Learn more about alternate-nostril breathing–the mindfulness technique that is scientifically proven to lower blood pressure and regulate the stress response.

Additional materials: www.superdatascience.com/546</description>
      <pubDate>Fri, 04 Feb 2022 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ca4a47a0-1c32-11ef-9765-9fa1ab28259e/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Our Five-Minute Friday habit-tracking series continues! Learn more about alternate-nostril breathing–the mindfulness technique that is scientifically proven to lower blood pressure and regulate the stress response.</itunes:subtitle>
      <itunes:summary>Our Five-Minute Friday habit-tracking series continues! Learn more about alternate-nostril breathing–the mindfulness technique that is scientifically proven to lower blood pressure and regulate the stress response.

Additional materials: www.superdatascience.com/546</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Our Five-Minute Friday habit-tracking series continues! Learn more about alternate-nostril breathing–the mindfulness technique that is scientifically proven to lower blood pressure and regulate the stress response.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/546">www.superdatascience.com/546</a></p>]]>
      </content:encoded>
      <itunes:duration>290</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-10004635]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7339197792.mp3?updated=1724657763" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>545: Scaling Data-Intensive Real-Time Applications — with Matthew Russell</title>
      <description>Data scientist and entrepreneur Matthew Russell joins Jon Krohn to discuss the intersection of machine learning and fitness and dive deep into the strategies he and his team at Strongest AI use to scale data-intensive real-time applications.

In this episode you will learn:

About Strongest's event platform and iOS app [6:06]

How Strongest scaled to serve million [8:14]

Strongest's unique approach to building a fitness app [17:50]

How to rapidly test ML models for deployment [29:01]

The three critical traits Matthew looks for in anyone he hires [33:11]

Mining the Social Web [41:14]

The values instilled in Matthew by pursuing a military education [53:30]

The key skills Matthew wishes he’d learned earlier in his career [1:03:51]


Additional materials: www.superdatascience.com/545</description>
      <pubDate>Tue, 01 Feb 2022 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/caf524a4-1c32-11ef-9765-172c6696086c/image/a06dd484154acd143020f9b15011d614.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Data scientist and entrepreneur Matthew Russell joins Jon Krohn to discuss the intersection of machine learning and fitness and dive deep into the strategies he and his team at Strongest AI use to scale data-intensive real-time applications.</itunes:subtitle>
      <itunes:summary>Data scientist and entrepreneur Matthew Russell joins Jon Krohn to discuss the intersection of machine learning and fitness and dive deep into the strategies he and his team at Strongest AI use to scale data-intensive real-time applications.

In this episode you will learn:

About Strongest's event platform and iOS app [6:06]

How Strongest scaled to serve million [8:14]

Strongest's unique approach to building a fitness app [17:50]

How to rapidly test ML models for deployment [29:01]

The three critical traits Matthew looks for in anyone he hires [33:11]

Mining the Social Web [41:14]

The values instilled in Matthew by pursuing a military education [53:30]

The key skills Matthew wishes he’d learned earlier in his career [1:03:51]


Additional materials: www.superdatascience.com/545</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Data scientist and entrepreneur Matthew Russell joins Jon Krohn to discuss the intersection of machine learning and fitness and dive deep into the strategies he and his team at Strongest AI use to scale data-intensive real-time applications.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>About Strongest's event platform and iOS app [6:06]</li>
<li>How Strongest scaled to serve million [8:14]</li>
<li>Strongest's unique approach to building a fitness app [17:50]</li>
<li>How to rapidly test ML models for deployment [29:01]</li>
<li>The three critical traits Matthew looks for in anyone he hires [33:11]</li>
<li>Mining the Social Web [41:14]</li>
<li>The values instilled in Matthew by pursuing a military education [53:30]</li>
<li>The key skills Matthew wishes he’d learned earlier in his career [1:03:51]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/545">www.superdatascience.com/545</a></p>]]>
      </content:encoded>
      <itunes:duration>4584</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9990613]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9502832160.mp3?updated=1724657742" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>544: Daily Habit #3: Make Your Bed</title>
      <description>Our habit-tracking series continues with a look at how making your bed can jumpstart your mornings, prevent you from taking part in negative habits and help you become happier.

Additional materials: www.superdatascience.com/544</description>
      <pubDate>Fri, 28 Jan 2022 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/cb6683b0-1c32-11ef-9765-67cd2ec24242/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Our habit-tracking series continues with a look at how making your bed can jumpstart your mornings, prevent you from taking part in negative habits and help you become happier.</itunes:subtitle>
      <itunes:summary>Our habit-tracking series continues with a look at how making your bed can jumpstart your mornings, prevent you from taking part in negative habits and help you become happier.

Additional materials: www.superdatascience.com/544</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Our habit-tracking series continues with a look at how making your bed can jumpstart your mornings, prevent you from taking part in negative habits and help you become happier.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/544">www.superdatascience.com/544</a></p>]]>
      </content:encoded>
      <itunes:duration>168</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9955661]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1647656692.mp3?updated=1724657703" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>543: Sparking A.I. Innovation — with Nicole Büttner</title>
      <description>Nicole Büttner (Founder and CEO of Merantix Labs) joins the podcast to discuss driving A.I. innovation, automation, and transformation and building the ideal A.I. start-up founding team.

In this episode you will learn:

The three factors that spark A.I. innovation [12:48]

How to make great use of the unlabelled, unbalanced data sets [18:54]

How to engineer reusable data and software components [25:09]

Merantix's A.I. Canvas framework for successful innovation [29:59]

How to be a part of Merantix's program as a founder [45:23]


Additional materials: www.superdatascience.com/543</description>
      <pubDate>Tue, 25 Jan 2022 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/cbdbbd9c-1c32-11ef-9765-135ec4f08c34/image/4d01c07436bf118127a7cfd6b4967d4d.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Nicole Büttner (Founder and CEO of Merantix Labs) joins the podcast to discuss driving A.I. innovation, automation, and transformation and building the ideal A.I. start-up founding team.</itunes:subtitle>
      <itunes:summary>Nicole Büttner (Founder and CEO of Merantix Labs) joins the podcast to discuss driving A.I. innovation, automation, and transformation and building the ideal A.I. start-up founding team.

In this episode you will learn:

The three factors that spark A.I. innovation [12:48]

How to make great use of the unlabelled, unbalanced data sets [18:54]

How to engineer reusable data and software components [25:09]

Merantix's A.I. Canvas framework for successful innovation [29:59]

How to be a part of Merantix's program as a founder [45:23]


Additional materials: www.superdatascience.com/543</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Nicole Büttner (Founder and CEO of Merantix Labs) joins the podcast to discuss driving A.I. innovation, automation, and transformation and building the ideal A.I. start-up founding team.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>The three factors that spark A.I. innovation [12:48]</li>
<li>How to make great use of the unlabelled, unbalanced data sets [18:54]</li>
<li>How to engineer reusable data and software components [25:09]</li>
<li>Merantix's A.I. Canvas framework for successful innovation [29:59]</li>
<li>How to be a part of Merantix's program as a founder [45:23]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/543">www.superdatascience.com/543</a></p>]]>
      </content:encoded>
      <itunes:duration>3304</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9948007]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7551106924.mp3?updated=1724657682" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>542: Continuous Calendar for 2022</title>
      <description>Revisit the much-underrated continuous calendar and get started with this uncommon planning method thanks to Jon's 2022 template. 

Additional materials: www.superdatascience.com/542</description>
      <pubDate>Fri, 21 Jan 2022 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/cc488454-1c32-11ef-9765-2b8bd860385b/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Revisit the much-underrated continuous calendar and get started with this uncommon planning method thanks to Jon's 2022 template. </itunes:subtitle>
      <itunes:summary>Revisit the much-underrated continuous calendar and get started with this uncommon planning method thanks to Jon's 2022 template. 

Additional materials: www.superdatascience.com/542</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Revisit the much-underrated continuous calendar and get started with this uncommon planning method thanks to Jon's 2022 template. </p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/542">www.superdatascience.com/542</a></p>]]>
      </content:encoded>
      <itunes:duration>166</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9912670]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6906202858.mp3?updated=1724657649" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>541: Data Observability — with Dr. Kevin Hu</title>
      <description>In this episode, Kevin Hu joins the podcast to talk about founding and growing the data observability startup, Metaplane. Listen in to hear about his time in academia at MIT, his experience with Y Combinator, and his current routine as a technical founder.

In this episode you will learn:

What is data observability? [4:35]

•How to identify data quality issues? [8:56]

Kevin's PhD research on automating data science systems using machine learning [16:18]

Why Kevin launched Metaplane [28:50]

The pros and cons of an academic career relative to the start-up hustle [31:57]

Kevin's experience in Y-Combinator accelerator [39:50]

The software tools he uses daily as a CEO [50:54]

What Kevin looks for in data engineer hires [56:13]


Additional materials: www.superdatascience.com/541</description>
      <pubDate>Tue, 18 Jan 2022 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ccc59980-1c32-11ef-9765-8bc89a047685/image/88a094c27d4fb43aeddbd30ad162a8bd.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Kevin Hu joins the podcast to talk about founding and growing the data observability startup, Metaplane. Listen in to hear about his time in academia at MIT, his experience with Y Combinator, and his current routine as a technical founder.</itunes:subtitle>
      <itunes:summary>In this episode, Kevin Hu joins the podcast to talk about founding and growing the data observability startup, Metaplane. Listen in to hear about his time in academia at MIT, his experience with Y Combinator, and his current routine as a technical founder.

In this episode you will learn:

What is data observability? [4:35]

•How to identify data quality issues? [8:56]

Kevin's PhD research on automating data science systems using machine learning [16:18]

Why Kevin launched Metaplane [28:50]

The pros and cons of an academic career relative to the start-up hustle [31:57]

Kevin's experience in Y-Combinator accelerator [39:50]

The software tools he uses daily as a CEO [50:54]

What Kevin looks for in data engineer hires [56:13]


Additional materials: www.superdatascience.com/541</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Kevin Hu joins the podcast to talk about founding and growing the data observability startup, Metaplane. Listen in to hear about his time in academia at MIT, his experience with Y Combinator, and his current routine as a technical founder.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What is data observability? [4:35]</li>
<li>•How to identify data quality issues? [8:56]</li>
<li>Kevin's PhD research on automating data science systems using machine learning [16:18]</li>
<li>Why Kevin launched Metaplane [28:50]</li>
<li>The pros and cons of an academic career relative to the start-up hustle [31:57]</li>
<li>Kevin's experience in Y-Combinator accelerator [39:50]</li>
<li>The software tools he uses daily as a CEO [50:54]</li>
<li>What Kevin looks for in data engineer hires [56:13]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/541">www.superdatascience.com/541</a></p>]]>
      </content:encoded>
      <itunes:duration>4083</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9899206]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2375712212.mp3?updated=1724657629" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>540: Daily Habit #2: Start the Day with a Glass of Water</title>
      <description>In this episode, Jon opens up about starting his day with a glass of water – his first morning habit that sets his day off on a healthy and successful note.

Additional materials: www.superdatascience.com/540</description>
      <pubDate>Fri, 14 Jan 2022 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/cd558446-1c32-11ef-9765-631fefdfd35f/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jon opens up about starting his day with a glass of water – his first morning habit that sets his day off on a healthy and successful note.</itunes:subtitle>
      <itunes:summary>In this episode, Jon opens up about starting his day with a glass of water – his first morning habit that sets his day off on a healthy and successful note.

Additional materials: www.superdatascience.com/540</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jon opens up about starting his day with a glass of water – his first morning habit that sets his day off on a healthy and successful note.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/540">www.superdatascience.com/540</a></p>]]>
      </content:encoded>
      <itunes:duration>230</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9880434]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7408352480.mp3?updated=1724398260" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>539: Interpretable Machine Learning — with Serg Masís</title>
      <description>In this episode, Serg Masís joins the podcast to share his in-depth technical knowledge of Interpretable Machine Learning. Together they discuss why this field matters, how it’s evolving, and so much more.

In this episode you will learn:

What is interpretable machine learning? [8:41]

The social and financial ramifications of interpreting models incorrectly [10:23]

The challenges involved in interpretable ML [16:00]

The most important interpretable ML concepts to master [19:54]

The future of Interpretable ML [32:41]

What it’s like to be a Climate &amp; Agronomic Data Scientist [42:28]

Serg’s day-to-day tools [49:05]

Serg's productivity tips [50:25]

Why Serg pursued a Master's in Data Science [52:25]


Additional materials: www.superdatascience.com/539</description>
      <pubDate>Tue, 11 Jan 2022 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/cdd977f6-1c32-11ef-9765-b3a00ec2e521/image/e947e3d6861ea8430174e6f06f9649a5.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Serg Masís joins the podcast to share his in-depth technical knowledge of Interpretable Machine Learning. Together they discuss why this field matters, how it’s evolving, and so much more.</itunes:subtitle>
      <itunes:summary>In this episode, Serg Masís joins the podcast to share his in-depth technical knowledge of Interpretable Machine Learning. Together they discuss why this field matters, how it’s evolving, and so much more.

In this episode you will learn:

What is interpretable machine learning? [8:41]

The social and financial ramifications of interpreting models incorrectly [10:23]

The challenges involved in interpretable ML [16:00]

The most important interpretable ML concepts to master [19:54]

The future of Interpretable ML [32:41]

What it’s like to be a Climate &amp; Agronomic Data Scientist [42:28]

Serg’s day-to-day tools [49:05]

Serg's productivity tips [50:25]

Why Serg pursued a Master's in Data Science [52:25]


Additional materials: www.superdatascience.com/539</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Serg Masís joins the podcast to share his in-depth technical knowledge of Interpretable Machine Learning. Together they discuss why this field matters, how it’s evolving, and so much more.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What is interpretable machine learning? [8:41]</li>
<li>The social and financial ramifications of interpreting models incorrectly [10:23]</li>
<li>The challenges involved in interpretable ML [16:00]</li>
<li>The most important interpretable ML concepts to master [19:54]</li>
<li>The future of Interpretable ML [32:41]</li>
<li>What it’s like to be a Climate &amp; Agronomic Data Scientist [42:28]</li>
<li>Serg’s day-to-day tools [49:05]</li>
<li>Serg's productivity tips [50:25]</li>
<li>Why Serg pursued a Master's in Data Science [52:25]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/539">www.superdatascience.com/539</a></p>]]>
      </content:encoded>
      <itunes:duration>3696</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9866336]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2922702463.mp3?updated=1724398236" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>538: Daily Habit #1: Track Your Habits</title>
      <link>https://www.superdatascience.com/538</link>
      <description>In this episode, Jon shares his "life-changing" habit tracking system that has allowed him to achieve more, create more structure within his day and cut out bad habits.

Additional materials: www.superdatascience.com/538</description>
      <pubDate>Fri, 07 Jan 2022 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ce5281be-1c32-11ef-9765-3b20469c5e36/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, Jon shares his "life-changing" habit tracking system that has allowed him to achieve more, create more structure within his day and cut out bad habits.</itunes:subtitle>
      <itunes:summary>In this episode, Jon shares his "life-changing" habit tracking system that has allowed him to achieve more, create more structure within his day and cut out bad habits.

Additional materials: www.superdatascience.com/538</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jon shares his "life-changing" habit tracking system that has allowed him to achieve more, create more structure within his day and cut out bad habits.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/538">www.superdatascience.com/538</a></p>]]>
      </content:encoded>
      <itunes:duration>424</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9840156]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5553603683.mp3?updated=1724398181" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>537: Data Science Trends for 2022</title>
      <link>https://www.superdatascience.com/537</link>
      <description>Sadie St. Lawrence returns to discuss the biggest data science trends that are set to take over the industry in 2022.

In this episode you will learn:

A look back at data science trends for 2021 [4:03]

Micro and macro data science trends for 2022 [12:30]

AutoML tools [15:20]

The social implications of deepfakes [21:21]

Scalable AI [38:40]

Macro data science trends for 2022 [42:45]

The impact of the remote-working economy in data science [43:21]

Blockchain in data science [50:28]

Data literacy of the global workforce [1:01:07]


Additional materials: www.superdatascience.com/537</description>
      <pubDate>Tue, 04 Jan 2022 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/cecde890-1c32-11ef-9765-97bb6bb26268/image/cb3334fc645cb26d2488f68a938f84c9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Sadie St. Lawrence returns to discuss the biggest data science trends that are set to take over the industry in 2022.</itunes:subtitle>
      <itunes:summary>Sadie St. Lawrence returns to discuss the biggest data science trends that are set to take over the industry in 2022.

In this episode you will learn:

A look back at data science trends for 2021 [4:03]

Micro and macro data science trends for 2022 [12:30]

AutoML tools [15:20]

The social implications of deepfakes [21:21]

Scalable AI [38:40]

Macro data science trends for 2022 [42:45]

The impact of the remote-working economy in data science [43:21]

Blockchain in data science [50:28]

Data literacy of the global workforce [1:01:07]


Additional materials: www.superdatascience.com/537</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Sadie St. Lawrence returns to discuss the biggest data science trends that are set to take over the industry in 2022.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>A look back at data science trends for 2021 [4:03]</li>
<li>Micro and macro data science trends for 2022 [12:30]</li>
<li>AutoML tools [15:20]</li>
<li>The social implications of deepfakes [21:21]</li>
<li>Scalable AI [38:40]</li>
<li>Macro data science trends for 2022 [42:45]</li>
<li>The impact of the remote-working economy in data science [43:21]</li>
<li>Blockchain in data science [50:28]</li>
<li>Data literacy of the global workforce [1:01:07]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/537">www.superdatascience.com/537</a></p>]]>
      </content:encoded>
      <itunes:duration>4569</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9828212]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8507769917.mp3?updated=1724398153" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>536: What I Learned in 2021</title>
      <description>Jon goes over his five biggest learnings from 2021 and what he hopes to work on in 2022.

Additional materials: www.superdatascience.com/536</description>
      <pubDate>Fri, 31 Dec 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/d07bd9c2-1c32-11ef-9765-2331e1c7be70/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon goes over his five biggest learnings from 2021 and what he hopes to work on in 2022.</itunes:subtitle>
      <itunes:summary>Jon goes over his five biggest learnings from 2021 and what he hopes to work on in 2022.

Additional materials: www.superdatascience.com/536</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon goes over his five biggest learnings from 2021 and what he hopes to work on in 2022.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/536">www.superdatascience.com/536</a></p>]]>
      </content:encoded>
      <itunes:duration>808</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9806829]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1068594605.mp3?updated=1724398118" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>535: How to Found, Grow, and Sell a Data Science Start-up</title>
      <description>Prolific data science entrepreneur and Y Combinator alum Austin Ogilvie (Laika, Yhat) joins Jon Krohn for a revealing look into his journey of starting, growing, and selling a data science startup. From liberal arts graduate to twice successful technical founder, take a seat and learn from the best.

In this episode you will learn:

The story behind the naming of Yhat and its early beginnings [5:10]

Austin and Yhat's experience at Y Combinator [19:00]

The benefits of being a technical founder [25:00]

From arts degree graduate to successful tech entrepreneur [27:00]

Austin's latest venture, Laika [39:30]

The tools that Austin uses day-to-day [47:30]

Unity gaming environment [49:58]

What makes a great data scientist [56:23]


Additional materials: www.superdatascience.com/535</description>
      <pubDate>Tue, 28 Dec 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/d12332b2-1c32-11ef-9765-f30015092027/image/f5c9089870cf4e79f5dc3e5bee65a276.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Prolific data science entrepreneur and Y Combinator alum Austin Ogilvie (Laika, Yhat) joins Jon Krohn for a revealing look into his journey of starting, growing, and selling a data science startup. From liberal arts graduate to twice successful technical founder, take a seat and learn from the best.</itunes:subtitle>
      <itunes:summary>Prolific data science entrepreneur and Y Combinator alum Austin Ogilvie (Laika, Yhat) joins Jon Krohn for a revealing look into his journey of starting, growing, and selling a data science startup. From liberal arts graduate to twice successful technical founder, take a seat and learn from the best.

In this episode you will learn:

The story behind the naming of Yhat and its early beginnings [5:10]

Austin and Yhat's experience at Y Combinator [19:00]

The benefits of being a technical founder [25:00]

From arts degree graduate to successful tech entrepreneur [27:00]

Austin's latest venture, Laika [39:30]

The tools that Austin uses day-to-day [47:30]

Unity gaming environment [49:58]

What makes a great data scientist [56:23]


Additional materials: www.superdatascience.com/535</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Prolific data science entrepreneur and Y Combinator alum Austin Ogilvie (Laika, Yhat) joins Jon Krohn for a revealing look into his journey of starting, growing, and selling a data science startup. From liberal arts graduate to twice successful technical founder, take a seat and learn from the best.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>The story behind the naming of Yhat and its early beginnings [5:10]</li>
<li>Austin and Yhat's experience at Y Combinator [19:00]</li>
<li>The benefits of being a technical founder [25:00]</li>
<li>From arts degree graduate to successful tech entrepreneur [27:00]</li>
<li>Austin's latest venture, Laika [39:30]</li>
<li>The tools that Austin uses day-to-day [47:30]</li>
<li>Unity gaming environment [49:58]</li>
<li>What makes a great data scientist [56:23]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/535">www.superdatascience.com/535</a></p>]]>
      </content:encoded>
      <itunes:duration>4182</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9796983]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1267429764.mp3?updated=1724398098" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>534: A Holiday Greeting</title>
      <description>Jon sends a holiday greeting to all listeners.

Additional materials: www.superdatascience.com/534</description>
      <pubDate>Fri, 24 Dec 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/d27d0516-1c32-11ef-9765-8fb2f737bd71/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon sends a holiday greeting to all listeners.</itunes:subtitle>
      <itunes:summary>Jon sends a holiday greeting to all listeners.

Additional materials: www.superdatascience.com/534</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon sends a holiday greeting to all listeners.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/534">www.superdatascience.com/534</a></p>]]>
      </content:encoded>
      <itunes:duration>110</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9779083]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8536098491.mp3?updated=1724398037" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>533: Fusion Energy, Cancer Proteomics, and Massive-Scale Machine Vision — with Dr. Brett Tully</title>
      <description>Dr. Brett Tully joins us on the podcast to discuss his work as Director of AI Output Systems at Nearmap and his previous research in biomedical topics and nuclear fusion.

In this episode you will learn:

What is Nearmap? [5:22]

What is a Director of AI Output Systems? [7:51]

A case study [20:35]

MLOps at Nearmap [26:37]

Brett’s day-to-day and what he looks for in hires [40:19]

Brett’s academic and research history [53:30]

Brett’s work in nuclear fusion and predictions for the technology [1:04:48]

The tools Brett used in his research [1:26:34]

ProCan project [1:34:27]

Brett’s prediction for future AI applications [1:48:30]


Additional materials: www.superdatascience.com/533</description>
      <pubDate>Tue, 21 Dec 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/d4795cc0-1c32-11ef-9765-5b714ca67e51/image/f9f69e3075309e2d9706d6e850d23155.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Dr. Brett Tully joins us on the podcast to discuss his work as Director of AI Output Systems at Nearmap and his previous research in biomedical topics and nuclear fusion.</itunes:subtitle>
      <itunes:summary>Dr. Brett Tully joins us on the podcast to discuss his work as Director of AI Output Systems at Nearmap and his previous research in biomedical topics and nuclear fusion.

In this episode you will learn:

What is Nearmap? [5:22]

What is a Director of AI Output Systems? [7:51]

A case study [20:35]

MLOps at Nearmap [26:37]

Brett’s day-to-day and what he looks for in hires [40:19]

Brett’s academic and research history [53:30]

Brett’s work in nuclear fusion and predictions for the technology [1:04:48]

The tools Brett used in his research [1:26:34]

ProCan project [1:34:27]

Brett’s prediction for future AI applications [1:48:30]


Additional materials: www.superdatascience.com/533</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Dr. Brett Tully joins us on the podcast to discuss his work as Director of AI Output Systems at Nearmap and his previous research in biomedical topics and nuclear fusion.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What is Nearmap? [5:22]</li>
<li>What is a Director of AI Output Systems? [7:51]</li>
<li>A case study [20:35]</li>
<li>MLOps at Nearmap [26:37]</li>
<li>Brett’s day-to-day and what he looks for in hires [40:19]</li>
<li>Brett’s academic and research history [53:30]</li>
<li>Brett’s work in nuclear fusion and predictions for the technology [1:04:48]</li>
<li>The tools Brett used in his research [1:26:34]</li>
<li>ProCan project [1:34:27]</li>
<li>Brett’s prediction for future AI applications [1:48:30]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/533">www.superdatascience.com/533</a></p>]]>
      </content:encoded>
      <itunes:duration>7143</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9759833]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2040045444.mp3?updated=1724398016" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>532: Mutable vs Immutable Conditions</title>
      <description>Jon discusses one helpful framework when it comes to problem-solving and how data scientists are uniquely positioned to employ this technique.

Additional materials: www.superdatascience.com/532</description>
      <pubDate>Fri, 17 Dec 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/d4efe390-1c32-11ef-9765-0b8bf17cdcb5/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon discusses one helpful framework when it comes to problem-solving and how data scientists are uniquely positioned to employ this technique.</itunes:subtitle>
      <itunes:summary>Jon discusses one helpful framework when it comes to problem-solving and how data scientists are uniquely positioned to employ this technique.

Additional materials: www.superdatascience.com/532</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon discusses one helpful framework when it comes to problem-solving and how data scientists are uniquely positioned to employ this technique.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/532">www.superdatascience.com/532</a></p>]]>
      </content:encoded>
      <itunes:duration>297</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9730442]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7153141630.mp3?updated=1724397969" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>531: Data Science at the Command Line</title>
      <description>Jeroen Janssens joins on the podcast to discuss his book on utilizing the command line for data science and the importance of polyglot data science work.

In this episode you will learn:

The genesis of Jeroen’s book [3:24]

Data Science at the Command Line [8:55]

Creating your own command line tools [22:07]

Polyglot data scientist [24:29]

Data Science Workshops [27:01]

Jeroen’s PhD research [30:38]


Additional materials: www.superdatascience.com/531</description>
      <pubDate>Tue, 14 Dec 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/da45e0ce-1c32-11ef-9765-8353d273a74b/image/1cc2a12b7c1ea98874bfd9aa819a71b5.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jeroen Janssens joins on the podcast to discuss his book on utilizing the command line for data science and the importance of polyglot data science work.</itunes:subtitle>
      <itunes:summary>Jeroen Janssens joins on the podcast to discuss his book on utilizing the command line for data science and the importance of polyglot data science work.

In this episode you will learn:

The genesis of Jeroen’s book [3:24]

Data Science at the Command Line [8:55]

Creating your own command line tools [22:07]

Polyglot data scientist [24:29]

Data Science Workshops [27:01]

Jeroen’s PhD research [30:38]


Additional materials: www.superdatascience.com/531</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jeroen Janssens joins on the podcast to discuss his book on utilizing the command line for data science and the importance of polyglot data science work.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>The genesis of Jeroen’s book [3:24]</li>
<li>Data Science at the Command Line [8:55]</li>
<li>Creating your own command line tools [22:07]</li>
<li>Polyglot data scientist [24:29]</li>
<li>Data Science Workshops [27:01]</li>
<li>Jeroen’s PhD research [30:38]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/531">www.superdatascience.com/531</a></p>]]>
      </content:encoded>
      <itunes:duration>3030</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9717160]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1163507924.mp3?updated=1724397948" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>530: Ten A.I. Thought Leaders to Follow (on Twitter)</title>
      <description>Jon details his top ten AI thought leaders hoping that his suggestions prove valuable to you in your data science journey.

Additional materials: www.superdatascience.com/530</description>
      <pubDate>Fri, 10 Dec 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/dabc19ba-1c32-11ef-9765-635226917c35/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon details his top ten AI thought leaders hoping that his suggestions prove valuable to you in your data science journey.</itunes:subtitle>
      <itunes:summary>Jon details his top ten AI thought leaders hoping that his suggestions prove valuable to you in your data science journey.

Additional materials: www.superdatascience.com/530</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon details his top ten AI thought leaders hoping that his suggestions prove valuable to you in your data science journey.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/530">www.superdatascience.com/530</a></p>]]>
      </content:encoded>
      <itunes:duration>323</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9691444]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4583824454.mp3?updated=1724397914" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>529: A.I. Robotics at Home</title>
      <description>Dave Niewinski joins us to discuss his prolific work in robotics both as a consultant and a popular YouTuber.

In this episode you will learn:

Dave’s Armoury [4:44]

Robotic cornhole tournament [12:33]

Dave’s many robots [14:25]

Dave’s idea process [28:51]

Future robots [31:43]

Dave’s consulting business [33:27]

Tools Dave likes to use [37:05]

How did Dave get started in this line of work? [38:50]

Dave’s advice to people who want to get into robotics [41:18]

What is Dave excited about in the future? [45:38]


Additional materials: www.superdatascience.com/529</description>
      <pubDate>Tue, 07 Dec 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/db433576-1c32-11ef-9765-03447c4c655b/image/edf5c64417d85fb21cc16d94646edd60.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Dave Niewinski joins us to discuss his prolific work in robotics both as a consultant and a popular YouTuber.</itunes:subtitle>
      <itunes:summary>Dave Niewinski joins us to discuss his prolific work in robotics both as a consultant and a popular YouTuber.

In this episode you will learn:

Dave’s Armoury [4:44]

Robotic cornhole tournament [12:33]

Dave’s many robots [14:25]

Dave’s idea process [28:51]

Future robots [31:43]

Dave’s consulting business [33:27]

Tools Dave likes to use [37:05]

How did Dave get started in this line of work? [38:50]

Dave’s advice to people who want to get into robotics [41:18]

What is Dave excited about in the future? [45:38]


Additional materials: www.superdatascience.com/529</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Dave Niewinski joins us to discuss his prolific work in robotics both as a consultant and a popular YouTuber.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Dave’s Armoury [4:44]</li>
<li>Robotic cornhole tournament [12:33]</li>
<li>Dave’s many robots [14:25]</li>
<li>Dave’s idea process [28:51]</li>
<li>Future robots [31:43]</li>
<li>Dave’s consulting business [33:27]</li>
<li>Tools Dave likes to use [37:05]</li>
<li>How did Dave get started in this line of work? [38:50]</li>
<li>Dave’s advice to people who want to get into robotics [41:18]</li>
<li>What is Dave excited about in the future? [45:38]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/529">www.superdatascience.com/529</a></p>]]>
      </content:encoded>
      <itunes:duration>3197</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9677572]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2690855711.mp3?updated=1724397893" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>528: The Normal Anxiety of Content Creation</title>
      <description>Jon explores his personal anxieties as a content creator to encourage fellow creators to keep sharing their knowledge.

Additional materials: www.superdatascience.com/528</description>
      <pubDate>Fri, 03 Dec 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/dbb8ee2e-1c32-11ef-9765-5bf2cb971494/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon explores his personal anxieties as a content creator to encourage fellow creators to keep sharing their knowledge.</itunes:subtitle>
      <itunes:summary>Jon explores his personal anxieties as a content creator to encourage fellow creators to keep sharing their knowledge.

Additional materials: www.superdatascience.com/528</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon explores his personal anxieties as a content creator to encourage fellow creators to keep sharing their knowledge.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/528">www.superdatascience.com/528</a></p>]]>
      </content:encoded>
      <itunes:duration>230</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9649815]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8060390951.mp3?updated=1724397855" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>527: Automating Data Analytics</title>
      <description>Peter Bailis joins the podcast to discuss the work of his company that solves complex commercial problems through automated data analysis.

In this episode you will learn:

Meaning of the name Sisu [3:08]

What Sisu does [4:45]

Sisu and the data science stack [17:00]

Going from academia to startups [22:37]

What Sisu looks for when hiring [28:57]

Peter’s favorite tools [32:40]

Peter’s academic research [45:02]


Additional materials: www.superdatascience.com/527</description>
      <pubDate>Tue, 30 Nov 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/dc28355e-1c32-11ef-9765-af719e580ffe/image/d2f5ee284f17178993d533f1b9add64d.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Peter Bailis joins the podcast to discuss the work of his company that solves complex commercial problems through automated data analysis.</itunes:subtitle>
      <itunes:summary>Peter Bailis joins the podcast to discuss the work of his company that solves complex commercial problems through automated data analysis.

In this episode you will learn:

Meaning of the name Sisu [3:08]

What Sisu does [4:45]

Sisu and the data science stack [17:00]

Going from academia to startups [22:37]

What Sisu looks for when hiring [28:57]

Peter’s favorite tools [32:40]

Peter’s academic research [45:02]


Additional materials: www.superdatascience.com/527</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Peter Bailis joins the podcast to discuss the work of his company that solves complex commercial problems through automated data analysis.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Meaning of the name Sisu [3:08]</li>
<li>What Sisu does [4:45]</li>
<li>Sisu and the data science stack [17:00]</li>
<li>Going from academia to startups [22:37]</li>
<li>What Sisu looks for when hiring [28:57]</li>
<li>Peter’s favorite tools [32:40]</li>
<li>Peter’s academic research [45:02]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/527">www.superdatascience.com/527</a></p>]]>
      </content:encoded>
      <itunes:duration>3675</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9635748]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8123250466.mp3?updated=1724397834" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>526: The Highest-Paying Data Frameworks</title>
      <description>I finish up our three-part series on the results of the O’Reilly Survey, looking at the highest-paying data frameworks.

Additional materials: www.superdatascience.com/526</description>
      <pubDate>Fri, 26 Nov 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/dcae991e-1c32-11ef-9765-8fdbc581f224/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>I finish up our three-part series on the results of the O’Reilly Survey, looking at the highest-paying data frameworks.</itunes:subtitle>
      <itunes:summary>I finish up our three-part series on the results of the O’Reilly Survey, looking at the highest-paying data frameworks.

Additional materials: www.superdatascience.com/526</itunes:summary>
      <content:encoded>
        <![CDATA[<p>I finish up our three-part series on the results of the O’Reilly Survey, looking at the highest-paying data frameworks.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/526">www.superdatascience.com/526</a></p>]]>
      </content:encoded>
      <itunes:duration>369</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9612307]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8923523841.mp3?updated=1724397798" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>525: Hurdling Over Data Career Obstacles</title>
      <description>Karen Jean-Francois joins us to discuss how she wants to empower her team members and a wider audience of data scientists battling imposter syndrome.

In this episode you will learn:

Karen’s background as a hurdler [4:42]

Women in Data Podcast [10:32]

Cardlytics [19:04]

Karen’s background and current career [22:55]

Karen’s favorite tools [31:29]

Karen’s balance of fitness and work [34:45]

The biggest challenge of Karen’s career [47:09]

Advancement in data [54:13]

What is Karen most excited about? [59:40]


Additional materials: www.superdatascience.com/525</description>
      <pubDate>Tue, 23 Nov 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/dd2a1030-1c32-11ef-9765-1325d972ba26/image/2c16d70f956d65e71fad05f835a6acb1.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Karen Jean-Francois joins us to discuss how she wants to empower her team members and a wider audience of data scientists battling imposter syndrome.</itunes:subtitle>
      <itunes:summary>Karen Jean-Francois joins us to discuss how she wants to empower her team members and a wider audience of data scientists battling imposter syndrome.

In this episode you will learn:

Karen’s background as a hurdler [4:42]

Women in Data Podcast [10:32]

Cardlytics [19:04]

Karen’s background and current career [22:55]

Karen’s favorite tools [31:29]

Karen’s balance of fitness and work [34:45]

The biggest challenge of Karen’s career [47:09]

Advancement in data [54:13]

What is Karen most excited about? [59:40]


Additional materials: www.superdatascience.com/525</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Karen Jean-Francois joins us to discuss how she wants to empower her team members and a wider audience of data scientists battling imposter syndrome.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Karen’s background as a hurdler [4:42]</li>
<li>Women in Data Podcast [10:32]</li>
<li>Cardlytics [19:04]</li>
<li>Karen’s background and current career [22:55]</li>
<li>Karen’s favorite tools [31:29]</li>
<li>Karen’s balance of fitness and work [34:45]</li>
<li>The biggest challenge of Karen’s career [47:09]</li>
<li>Advancement in data [54:13]</li>
<li>What is Karen most excited about? [59:40]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/525">www.superdatascience.com/525</a></p>]]>
      </content:encoded>
      <itunes:duration>4139</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9598794]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6489542708.mp3?updated=1724397779" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>524: The Highest-Paying Data Tools</title>
      <description>In this episode, I go over the highest-paying data tools based on the O’Reilly survey.

Additional materials: www.superdatascience.com/524</description>
      <pubDate>Fri, 19 Nov 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ddae6c40-1c32-11ef-9765-cbf854850184/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I go over the highest-paying data tools based on the O’Reilly survey.</itunes:subtitle>
      <itunes:summary>In this episode, I go over the highest-paying data tools based on the O’Reilly survey.

Additional materials: www.superdatascience.com/524</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I go over the highest-paying data tools based on the O’Reilly survey.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/524">www.superdatascience.com/524</a></p>]]>
      </content:encoded>
      <itunes:duration>365</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9570193]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4386804473.mp3?updated=1724397746" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>523: Open-Source Analytical Computing (pandas, Apache Arrow)</title>
      <description>Wes McKinney joins us to discuss the history and philosophy of pandas and Apache Arrow as well as his continued work in open source tools.

In this episode you will learn:

History of pandas [7:29]

The trends of R and Python [23:33]

Python for Data Analysis [25:58]

pandas updates and community [30:10]

Apache Arrow [41:50]

Voltron Data [55:10]

Origin of Wes’s project names [1:08:14]

Wes’s favorite tools [1:09:46]

Audience Q&amp;A [1:15:34]


Additional materials: www.superdatascience.com/523</description>
      <pubDate>Tue, 16 Nov 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/de2527a4-1c32-11ef-9765-ff0d56ff1efe/image/8f0ebd108f38f91049bb1ee8cba630c7.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Wes McKinney joins us to discuss the history and philosophy of pandas and Apache Arrow as well as his continued work in open source tools.</itunes:subtitle>
      <itunes:summary>Wes McKinney joins us to discuss the history and philosophy of pandas and Apache Arrow as well as his continued work in open source tools.

In this episode you will learn:

History of pandas [7:29]

The trends of R and Python [23:33]

Python for Data Analysis [25:58]

pandas updates and community [30:10]

Apache Arrow [41:50]

Voltron Data [55:10]

Origin of Wes’s project names [1:08:14]

Wes’s favorite tools [1:09:46]

Audience Q&amp;A [1:15:34]


Additional materials: www.superdatascience.com/523</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Wes McKinney joins us to discuss the history and philosophy of pandas and Apache Arrow as well as his continued work in open source tools.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>History of pandas [7:29]</li>
<li>The trends of R and Python [23:33]</li>
<li>Python for Data Analysis [25:58]</li>
<li>pandas updates and community [30:10]</li>
<li>Apache Arrow [41:50]</li>
<li>Voltron Data [55:10]</li>
<li>Origin of Wes’s project names [1:08:14]</li>
<li>Wes’s favorite tools [1:09:46]</li>
<li>Audience Q&amp;A [1:15:34]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/523">www.superdatascience.com/523</a></p>]]>
      </content:encoded>
      <itunes:duration>5255</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9556414]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3342691417.mp3?updated=1724397724" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>522: Data Tools vs. Data Platforms</title>
      <description>I provide you with some quick definitions of data tools vs data platforms to prep us for deep dives in future episodes.

Additional materials: www.superdatascience.com/522</description>
      <pubDate>Fri, 12 Nov 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/deaa62a2-1c32-11ef-9765-a74a65a85517/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>I provide you with some quick definitions of data tools vs data platforms to prep us for deep dives in future episodes.</itunes:subtitle>
      <itunes:summary>I provide you with some quick definitions of data tools vs data platforms to prep us for deep dives in future episodes.

Additional materials: www.superdatascience.com/522</itunes:summary>
      <content:encoded>
        <![CDATA[<p>I provide you with some quick definitions of data tools vs data platforms to prep us for deep dives in future episodes.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/522">www.superdatascience.com/522</a></p>]]>
      </content:encoded>
      <itunes:duration>205</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9531272]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3799278258.mp3?updated=1724397682" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>521: Skyrocket Your Career by Sharing Your Writing</title>
      <description>Khuyen Tran joins us to discuss her work as a prolific technical writer and undergraduate data science student.

In this episode you will learn:

Khuyen’s online writing [4:00]

Book writing [8:50]

How you can increase your engagement [13:49]

Khuyen’s work with Towards Data Science and NVIDIA [19:01]

Ocelot Consulting [24:08]

Khuyen’s undergrad work [32:12]

Audience questions [47:00]


Additional materials: www.superdatascience.com/521</description>
      <pubDate>Tue, 09 Nov 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/df1402e8-1c32-11ef-9765-a74f2051d3d1/image/4eab25582ef4333345f9d62cda6a55f7.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Khuyen Tran joins us to discuss her work as a prolific technical writer and undergraduate data science student.</itunes:subtitle>
      <itunes:summary>Khuyen Tran joins us to discuss her work as a prolific technical writer and undergraduate data science student.

In this episode you will learn:

Khuyen’s online writing [4:00]

Book writing [8:50]

How you can increase your engagement [13:49]

Khuyen’s work with Towards Data Science and NVIDIA [19:01]

Ocelot Consulting [24:08]

Khuyen’s undergrad work [32:12]

Audience questions [47:00]


Additional materials: www.superdatascience.com/521</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Khuyen Tran joins us to discuss her work as a prolific technical writer and undergraduate data science student.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Khuyen’s online writing [4:00]</li>
<li>Book writing [8:50]</li>
<li>How you can increase your engagement [13:49]</li>
<li>Khuyen’s work with Towards Data Science and NVIDIA [19:01]</li>
<li>Ocelot Consulting [24:08]</li>
<li>Khuyen’s undergrad work [32:12]</li>
<li>Audience questions [47:00]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/521">www.superdatascience.com/521</a></p>]]>
      </content:encoded>
      <itunes:duration>3712</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9517282]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7664855750.mp3?updated=1724397656" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>520: The Highest-Paying Programming Languages for Data Scientists</title>
      <description>I take a look at the results of O’Reilly’s survey on salaries for data scientists in 2021.

Additional materials: www.superdatascience.com/520</description>
      <pubDate>Fri, 05 Nov 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/df884cc0-1c32-11ef-9765-c34e7aeb8ccc/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>I take a look at the results of O’Reilly’s survey on salaries for data scientists in 2021.</itunes:subtitle>
      <itunes:summary>I take a look at the results of O’Reilly’s survey on salaries for data scientists in 2021.

Additional materials: www.superdatascience.com/520</itunes:summary>
      <content:encoded>
        <![CDATA[<p>I take a look at the results of O’Reilly’s survey on salaries for data scientists in 2021.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/520">www.superdatascience.com/520</a></p>]]>
      </content:encoded>
      <itunes:duration>323</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9489766]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9835598233.mp3?updated=1724397380" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>519: A.I. for Good</title>
      <description>James Hodson joins us to discuss his philosophy and work at A.I. For Good and how they aim to promote sustainability and A.I. use for social issues.

In this episode you will learn:

AI for Good [5:17]

Founding of AI for Good [8:50]

Case studies [14:58]

How you can get involved [46:29]

Skills James looks for in hires [50:39]


Additional materials: www.superdatascience.com/519</description>
      <pubDate>Tue, 02 Nov 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e034ae52-1c32-11ef-9765-f782b54134fa/image/bf69dceef7333364c43c9b4a13e9ddca.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>James Hodson joins us to discuss his philosophy and work at A.I. For Good and how they aim to promote sustainability and A.I. use for social issues.</itunes:subtitle>
      <itunes:summary>James Hodson joins us to discuss his philosophy and work at A.I. For Good and how they aim to promote sustainability and A.I. use for social issues.

In this episode you will learn:

AI for Good [5:17]

Founding of AI for Good [8:50]

Case studies [14:58]

How you can get involved [46:29]

Skills James looks for in hires [50:39]


Additional materials: www.superdatascience.com/519</itunes:summary>
      <content:encoded>
        <![CDATA[<p>James Hodson joins us to discuss his philosophy and work at A.I. For Good and how they aim to promote sustainability and A.I. use for social issues.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>AI for Good [5:17]</li>
<li>Founding of AI for Good [8:50]</li>
<li>Case studies [14:58]</li>
<li>How you can get involved [46:29]</li>
<li>Skills James looks for in hires [50:39]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/519">www.superdatascience.com/519</a></p>]]>
      </content:encoded>
      <itunes:duration>4092</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9475336]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3248755834.mp3?updated=1724397359" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>518: Fail More</title>
      <description>This week, I provide a short but important bit of advice on failure.

Additional materials: www.superdatascience.com/518</description>
      <pubDate>Fri, 29 Oct 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e10e957c-1c32-11ef-9765-235fae9fd10b/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>This week, I provide a short but important bit of advice on failure.</itunes:subtitle>
      <itunes:summary>This week, I provide a short but important bit of advice on failure.

Additional materials: www.superdatascience.com/518</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week, I provide a short but important bit of advice on failure.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/518">www.superdatascience.com/518</a></p>]]>
      </content:encoded>
      <itunes:duration>138</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9448231]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8718060593.mp3?updated=1724397328" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>517: Courses in Data Science and Machine Learning</title>
      <description>Sadie St. Lawrence talks in-depth about her extensive work as a data science educator through both online and collegiate courses as well as her organization for diversifying data science careers.

In this episode you will learn:

Sadie’s education work in SQL [4:13]

The popularity of Sadie’s course [13:32]

Sadie’s forthcoming machine learning certificate course [16:29]

Women in Data [25:32]

Sadie’s non-technical background [36:17]

NFTs and VR [46:41]


Additional materials: www.superdatascience.com/517</description>
      <pubDate>Tue, 26 Oct 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e18ac3ea-1c32-11ef-9765-472cea3392b7/image/cb3334fc645cb26d2488f68a938f84c9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Sadie St. Lawrence talks in-depth about her extensive work as a data science educator through both online and collegiate courses as well as her organization for diversifying data science careers.</itunes:subtitle>
      <itunes:summary>Sadie St. Lawrence talks in-depth about her extensive work as a data science educator through both online and collegiate courses as well as her organization for diversifying data science careers.

In this episode you will learn:

Sadie’s education work in SQL [4:13]

The popularity of Sadie’s course [13:32]

Sadie’s forthcoming machine learning certificate course [16:29]

Women in Data [25:32]

Sadie’s non-technical background [36:17]

NFTs and VR [46:41]


Additional materials: www.superdatascience.com/517</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Sadie St. Lawrence talks in-depth about her extensive work as a data science educator through both online and collegiate courses as well as her organization for diversifying data science careers.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Sadie’s education work in SQL [4:13]</li>
<li>The popularity of Sadie’s course [13:32]</li>
<li>Sadie’s forthcoming machine learning certificate course [16:29]</li>
<li>Women in Data [25:32]</li>
<li>Sadie’s non-technical background [36:17]</li>
<li>NFTs and VR [46:41]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/517">www.superdatascience.com/517</a></p>]]>
      </content:encoded>
      <itunes:duration>3339</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9435202]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6780872822.mp3?updated=1724397309" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>516: Does Caffeine Hurt Productivity? (Part 3: Scientific Literature)</title>
      <description>In this episode, I finish up my saga into the effects of caffeine on productivity.

Additional materials: www.superdatascience.com/516</description>
      <pubDate>Fri, 22 Oct 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e27bf2a6-1c32-11ef-9765-df3a09f3d3df/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I finish up my saga into the effects of caffeine on productivity.</itunes:subtitle>
      <itunes:summary>In this episode, I finish up my saga into the effects of caffeine on productivity.

Additional materials: www.superdatascience.com/516</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I finish up my saga into the effects of caffeine on productivity.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/516">www.superdatascience.com/516</a></p>]]>
      </content:encoded>
      <itunes:duration>444</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9400502]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6040754208.mp3?updated=1724397264" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>515: Accelerating Impact through Community —  with Chrys Wu</title>
      <description>Chrys Wu joins us to discuss her community organizations, her tips, and her recommended resources for building data science communities for impact.

In this episode you will learn:

The world of K-Pop [ 4:07]

Chrys’s talk at the R Conference [8:56]

Write/Speak/Code [14:05]

Hacks/Hackers [21:58]

Tips on developing data communities [27:22]


Additional materials: www.superdatascience.com/515</description>
      <pubDate>Tue, 19 Oct 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e50f8794-1c32-11ef-9765-5721e8e79bbe/image/b67b92c0ffbd32f4dd65ca1691769c07.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Chrys Wu joins us to discuss her community organizations, her tips, and her recommended resources for building data science communities for impact.</itunes:subtitle>
      <itunes:summary>Chrys Wu joins us to discuss her community organizations, her tips, and her recommended resources for building data science communities for impact.

In this episode you will learn:

The world of K-Pop [ 4:07]

Chrys’s talk at the R Conference [8:56]

Write/Speak/Code [14:05]

Hacks/Hackers [21:58]

Tips on developing data communities [27:22]


Additional materials: www.superdatascience.com/515</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Chrys Wu joins us to discuss her community organizations, her tips, and her recommended resources for building data science communities for impact.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>The world of K-Pop [ 4:07]</li>
<li>Chrys’s talk at the R Conference [8:56]</li>
<li>Write/Speak/Code [14:05]</li>
<li>Hacks/Hackers [21:58]</li>
<li>Tips on developing data communities [27:22]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/515">www.superdatascience.com/515</a></p>]]>
      </content:encoded>
      <itunes:duration>2334</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9394056]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4622862350.mp3?updated=1724397243" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>514: Does Caffeine Hurt Productivity? (Part 2: Experimental Results)</title>
      <description>In this episode, I dive into the nuts and bolts of data on my experiment into caffeine and productivity.

Additional materials: www.superdatascience.com/514</description>
      <pubDate>Fri, 15 Oct 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e65d6ae4-1c32-11ef-9765-7b7c821eda94/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I dive into the nuts and bolts of data on my experiment into caffeine and productivity.</itunes:subtitle>
      <itunes:summary>In this episode, I dive into the nuts and bolts of data on my experiment into caffeine and productivity.

Additional materials: www.superdatascience.com/514</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I dive into the nuts and bolts of data on my experiment into caffeine and productivity.</p><p><br></p><p>Additional materials: www.superdatascience.com/514</p>]]>
      </content:encoded>
      <itunes:duration>505</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9366756]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6753142372.mp3?updated=1724397203" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>513: Transformers for Natural Language Processing</title>
      <description>Denis Rothman joins us to discuss his writing work in natural language processing, explainable AI, and more!

In this episode you will learn:

What are transformers and their applications? [7:54]

Denis’s book on explainable AI [25:08]

AI by Example [35:53]

LinkedIn audience questions [42:00]


Additional materials: www.superdatascience.com/513</description>
      <pubDate>Tue, 12 Oct 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e7036cbe-1c32-11ef-9765-9ff5ac201618/image/a41532fb48a4c50fa9887123af32d674.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Denis Rothman joins us to discuss his writing work in natural language processing, explainable AI, and more!</itunes:subtitle>
      <itunes:summary>Denis Rothman joins us to discuss his writing work in natural language processing, explainable AI, and more!

In this episode you will learn:

What are transformers and their applications? [7:54]

Denis’s book on explainable AI [25:08]

AI by Example [35:53]

LinkedIn audience questions [42:00]


Additional materials: www.superdatascience.com/513</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Denis Rothman joins us to discuss his writing work in natural language processing, explainable AI, and more!</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What are transformers and their applications? [7:54]</li>
<li>Denis’s book on explainable AI [25:08]</li>
<li>AI by Example [35:53]</li>
<li>LinkedIn audience questions [42:00]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/513">www.superdatascience.com/513</a></p>]]>
      </content:encoded>
      <itunes:duration>3248</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9353574]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7731599861.mp3?updated=1724397183" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>512: Does Caffeine Hurt Productivity? (Part 1)</title>
      <description>I dive into a personal experiment to test my productivity relative to my coffee intake and if caffeine is actually hurting my productivity.

Additional materials: www.superdatascience.com/512</description>
      <pubDate>Fri, 08 Oct 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e789b0e4-1c32-11ef-9765-bb19142cae83/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>I dive into a personal experiment to test my productivity relative to my coffee intake and if caffeine is actually hurting my productivity.</itunes:subtitle>
      <itunes:summary>I dive into a personal experiment to test my productivity relative to my coffee intake and if caffeine is actually hurting my productivity.

Additional materials: www.superdatascience.com/512</itunes:summary>
      <content:encoded>
        <![CDATA[<p>I dive into a personal experiment to test my productivity relative to my coffee intake and if caffeine is actually hurting my productivity.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/512">www.superdatascience.com/512</a></p>]]>
      </content:encoded>
      <itunes:duration>356</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9321042]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9234983435.mp3?updated=1724397153" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>511: Data Science for Private Investing — LIVE with Drew Conway</title>
      <description>Drew Conway joins us on the first live podcast to discuss his work in private investing and how data science figures into and improves his work.

In this episode you will learn:

The R Conference and NYHackR [6:33]

Machine Learning for Hackers [20:17]

Two Sigma and Drew’s work [28:27]

Drew’s team structure at Two Sigma [35:12]

Audience Q&amp;A [46:27]


Additional materials: www.superdatascience.com/511</description>
      <pubDate>Tue, 05 Oct 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e876f070-1c32-11ef-9765-4b7ed824aa3e/image/117ab5e2c1cfb3df6a319800b9efba7b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Drew Conway joins us on the first live podcast to discuss his work in private investing and how data science figures into and improves his work.</itunes:subtitle>
      <itunes:summary>Drew Conway joins us on the first live podcast to discuss his work in private investing and how data science figures into and improves his work.

In this episode you will learn:

The R Conference and NYHackR [6:33]

Machine Learning for Hackers [20:17]

Two Sigma and Drew’s work [28:27]

Drew’s team structure at Two Sigma [35:12]

Audience Q&amp;A [46:27]


Additional materials: www.superdatascience.com/511</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Drew Conway joins us on the first live podcast to discuss his work in private investing and how data science figures into and improves his work.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>The R Conference and NYHackR [6:33]</li>
<li>Machine Learning for Hackers [20:17]</li>
<li>Two Sigma and Drew’s work [28:27]</li>
<li>Drew’s team structure at Two Sigma [35:12]</li>
<li>Audience Q&amp;A [46:27]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/511">www.superdatascience.com/511</a></p>]]>
      </content:encoded>
      <itunes:duration>4146</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9313639]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4526443971.mp3?updated=1724397131" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>510: Deep Reinforcement Learning</title>
      <description>In this episode, I dive into the world of reinforcement learning and deep reinforcement learning and the benefits of both.

Additional materials: www.superdatascience.com/510</description>
      <pubDate>Fri, 01 Oct 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e9b5d10e-1c32-11ef-9765-cf8ff16c67cc/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I dive into the world of reinforcement learning and deep reinforcement learning and the benefits of both.</itunes:subtitle>
      <itunes:summary>In this episode, I dive into the world of reinforcement learning and deep reinforcement learning and the benefits of both.

Additional materials: www.superdatascience.com/510</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I dive into the world of reinforcement learning and deep reinforcement learning and the benefits of both.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/510">www.superdatascience.com/510</a></p>]]>
      </content:encoded>
      <itunes:duration>433</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9285892]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7406164529.mp3?updated=1724397098" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>509: Accelerating Start-up Growth with A.I. Specialists</title>
      <description>Parinaz Sobhani joins us to discuss the cutting-edge work of Georgian, a collaborative company that helps start-ups implement and scale machine learning and AI.

In this episode you will learn:

Parinaz’s work at Georgian [5:35]

Use cases of Georgian’s work [14:35]

Tools and approaches Parinaz uses [32:27]

Environmental concerns of machine learning [42:52]

Hiring at Georgian and what Parinaz looks for [48:18]

How did Parinaz become interested in this? [56:19]

Fairness in AI [1:09:01]


Additional materials: www.superdatascience.com/509</description>
      <pubDate>Tue, 28 Sep 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ea8ecaea-1c32-11ef-9765-ef2204924657/image/7795be6251c185cb854740ad729bed42.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Parinaz Sobhani joins us to discuss the cutting-edge work of Georgian, a collaborative company that helps start-ups implement and scale machine learning and AI.</itunes:subtitle>
      <itunes:summary>Parinaz Sobhani joins us to discuss the cutting-edge work of Georgian, a collaborative company that helps start-ups implement and scale machine learning and AI.

In this episode you will learn:

Parinaz’s work at Georgian [5:35]

Use cases of Georgian’s work [14:35]

Tools and approaches Parinaz uses [32:27]

Environmental concerns of machine learning [42:52]

Hiring at Georgian and what Parinaz looks for [48:18]

How did Parinaz become interested in this? [56:19]

Fairness in AI [1:09:01]


Additional materials: www.superdatascience.com/509</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Parinaz Sobhani joins us to discuss the cutting-edge work of Georgian, a collaborative company that helps start-ups implement and scale machine learning and AI.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Parinaz’s work at Georgian [5:35]</li>
<li>Use cases of Georgian’s work [14:35]</li>
<li>Tools and approaches Parinaz uses [32:27]</li>
<li>Environmental concerns of machine learning [42:52]</li>
<li>Hiring at Georgian and what Parinaz looks for [48:18]</li>
<li>How did Parinaz become interested in this? [56:19]</li>
<li>Fairness in AI [1:09:01]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/509">www.superdatascience.com/509</a></p>]]>
      </content:encoded>
      <itunes:duration>4871</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9272555]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7214460978.mp3?updated=1724397075" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>508: Building Your Ant Hill</title>
      <description>In this episode, I discuss an interesting bit of my grandmother’s view about the process of working and going through life.

Additional materials: www.superdatascience.com/508</description>
      <pubDate>Fri, 24 Sep 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/eb0ffea8-1c32-11ef-9765-b7bfa7923a22/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I discuss an interesting bit of my grandmother’s view about the process of working and going through life.</itunes:subtitle>
      <itunes:summary>In this episode, I discuss an interesting bit of my grandmother’s view about the process of working and going through life.

Additional materials: www.superdatascience.com/508</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I discuss an interesting bit of my grandmother’s view about the process of working and going through life.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/508">www.superdatascience.com/508</a></p>]]>
      </content:encoded>
      <itunes:duration>209</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9246323]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6200540181.mp3?updated=1724397028" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>507: Bayesian Statistics</title>
      <description>Rob Trangucci joins us to discuss his work and study in Bayesian statistics and how he applies it to real-world problems.

In this episode you will learn:

Getting Rob on the show [8:12]

Stan [9:34]

Gradients [18:15]

What is Bayesian statistics? [23:05]

Multi-modal deep learning [45:20]

Stan package [53:46]

Applications of Bayesian stats [1:09:47]

The day-to-day of a PhD in stats [1:21:56]

What does the future hold? [1:42:37]


Additional materials: www.superdatascience.com/507</description>
      <pubDate>Tue, 21 Sep 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ebccf6ac-1c32-11ef-9765-57af0aa845f2/image/ebec3accd42f2338856c9d41e5f953ad.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Rob Trangucci joins us to discuss his work and study in Bayesian statistics and how he applies it to real-world problems.</itunes:subtitle>
      <itunes:summary>Rob Trangucci joins us to discuss his work and study in Bayesian statistics and how he applies it to real-world problems.

In this episode you will learn:

Getting Rob on the show [8:12]

Stan [9:34]

Gradients [18:15]

What is Bayesian statistics? [23:05]

Multi-modal deep learning [45:20]

Stan package [53:46]

Applications of Bayesian stats [1:09:47]

The day-to-day of a PhD in stats [1:21:56]

What does the future hold? [1:42:37]


Additional materials: www.superdatascience.com/507</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Rob Trangucci joins us to discuss his work and study in Bayesian statistics and how he applies it to real-world problems.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Getting Rob on the show [8:12]</li>
<li>Stan [9:34]</li>
<li>Gradients [18:15]</li>
<li>What is Bayesian statistics? [23:05]</li>
<li>Multi-modal deep learning [45:20]</li>
<li>Stan package [53:46]</li>
<li>Applications of Bayesian stats [1:09:47]</li>
<li>The day-to-day of a PhD in stats [1:21:56]</li>
<li>What does the future hold? [1:42:37]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/507">www.superdatascience.com/507</a></p>]]>
      </content:encoded>
      <itunes:duration>6903</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9232951]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7398737958.mp3?updated=1724397005" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>506: Supervised vs Unsupervised Learning</title>
      <description>In this episode, I continue with last week’s theme and discuss the differences between supervised and unsupervised learning.

Additional materials: www.superdatascience.com/506</description>
      <pubDate>Fri, 17 Sep 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ec7d3ce2-1c32-11ef-9765-1b2764318f7e/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I continue with last week’s theme and discuss the differences between supervised and unsupervised learning.</itunes:subtitle>
      <itunes:summary>In this episode, I continue with last week’s theme and discuss the differences between supervised and unsupervised learning.

Additional materials: www.superdatascience.com/506</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I continue with last week’s theme and discuss the differences between supervised and unsupervised learning.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/506">www.superdatascience.com/506</a></p>]]>
      </content:encoded>
      <itunes:duration>556</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9211279]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3503903309.mp3?updated=1724396972" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>505: From Data Science to Cinema</title>
      <description>Hadelin de Ponteves joins us to discuss his latest educational work and how his skills as a data science educator helped him start his career in acting.

In this episode you will learn:

What has Hadelin been up to? [4:27]

Hadelin’s cinema career and data science crossover [16:02]

Sleep for productivity [27:27]

How did Hadelin decide to undertake this? [32:26]

Bollywood vs Hollywood [37:26]


Additional materials: www.superdatascience.com/505</description>
      <pubDate>Tue, 14 Sep 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ed040d3a-1c32-11ef-9765-6f573da89e37/image/169a3822febafa19be2a2fd3feac0594.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Hadelin de Ponteves joins us to discuss his latest educational work and how his skills as a data science educator helped him start his career in acting.</itunes:subtitle>
      <itunes:summary>Hadelin de Ponteves joins us to discuss his latest educational work and how his skills as a data science educator helped him start his career in acting.

In this episode you will learn:

What has Hadelin been up to? [4:27]

Hadelin’s cinema career and data science crossover [16:02]

Sleep for productivity [27:27]

How did Hadelin decide to undertake this? [32:26]

Bollywood vs Hollywood [37:26]


Additional materials: www.superdatascience.com/505</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Hadelin de Ponteves joins us to discuss his latest educational work and how his skills as a data science educator helped him start his career in acting.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What has Hadelin been up to? [4:27]</li>
<li>Hadelin’s cinema career and data science crossover [16:02]</li>
<li>Sleep for productivity [27:27]</li>
<li>How did Hadelin decide to undertake this? [32:26]</li>
<li>Bollywood vs Hollywood [37:26]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/505">www.superdatascience.com/505</a></p>]]>
      </content:encoded>
      <itunes:duration>2769</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9185379]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2717284474.mp3?updated=1724396950" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>504: Classification vs Regression</title>
      <description>In this episode, I give a quick introduction to subcategories of supervised learning problems.

Additional materials: www.superdatascience.com/504</description>
      <pubDate>Fri, 10 Sep 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ed851b78-1c32-11ef-9765-eba6efc5caa5/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I give a quick introduction to subcategories of supervised learning problems.</itunes:subtitle>
      <itunes:summary>In this episode, I give a quick introduction to subcategories of supervised learning problems.

Additional materials: www.superdatascience.com/504</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I give a quick introduction to subcategories of supervised learning problems.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/504">www.superdatascience.com/504</a></p>]]>
      </content:encoded>
      <itunes:duration>344</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9165294]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1381821858.mp3?updated=1724396910" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>503: Deep Reinforcement Learning for Robotics</title>
      <description>Pieter Abbeel joins us to discuss his work as an academic and entrepreneur in the field of AI robotics and what the future of the industry holds.

In this episode you will learn:

How does Pieter do it all? [5:45]

Pieter’s exciting areas of research [12:30]

Research application at Covariant [32:27]

Getting into AI robotics [42:18]

Traits of good AI robotics apprentices [49:38]

Valuable skills [56:40]

What Pieter hopes to look back on [1:04:30]

LinkedIn Q&amp;A [1:06:51]


Additional materials: www.superdatascience.com/503</description>
      <pubDate>Tue, 07 Sep 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/efe9d89a-1c32-11ef-9765-2300fc90798e/image/ad577821b0c5cec38ad21350a7df901a.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Pieter Abbeel joins us to discuss his work as an academic and entrepreneur in the field of AI robotics and what the future of the industry holds.</itunes:subtitle>
      <itunes:summary>Pieter Abbeel joins us to discuss his work as an academic and entrepreneur in the field of AI robotics and what the future of the industry holds.

In this episode you will learn:

How does Pieter do it all? [5:45]

Pieter’s exciting areas of research [12:30]

Research application at Covariant [32:27]

Getting into AI robotics [42:18]

Traits of good AI robotics apprentices [49:38]

Valuable skills [56:40]

What Pieter hopes to look back on [1:04:30]

LinkedIn Q&amp;A [1:06:51]


Additional materials: www.superdatascience.com/503</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Pieter Abbeel joins us to discuss his work as an academic and entrepreneur in the field of AI robotics and what the future of the industry holds.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>How does Pieter do it all? [5:45]</li>
<li>Pieter’s exciting areas of research [12:30]</li>
<li>Research application at Covariant [32:27]</li>
<li>Getting into AI robotics [42:18]</li>
<li>Traits of good AI robotics apprentices [49:38]</li>
<li>Valuable skills [56:40]</li>
<li>What Pieter hopes to look back on [1:04:30]</li>
<li>LinkedIn Q&amp;A [1:06:51]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/503">www.superdatascience.com/503</a></p>]]>
      </content:encoded>
      <itunes:duration>4686</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9151962]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9572191478.mp3?updated=1724396877" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>502: Managing Imposter Syndrome</title>
      <description>In this episode, I explore a common issue plaguing people across fields: imposter syndrome.

Additional materials: www.superdatascience.com/502</description>
      <pubDate>Fri, 03 Sep 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f05ebc3c-1c32-11ef-9765-ff48cd46f87f/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I explore a common issue plaguing people across fields: imposter syndrome.</itunes:subtitle>
      <itunes:summary>In this episode, I explore a common issue plaguing people across fields: imposter syndrome.

Additional materials: www.superdatascience.com/502</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I explore a common issue plaguing people across fields: imposter syndrome.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/502">www.superdatascience.com/502</a></p>]]>
      </content:encoded>
      <itunes:duration>290</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9114904]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9594682147.mp3?updated=1724396835" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>501: Statistical Programming with Friends</title>
      <description>Jared Lander joins us to discuss his work as an R meetup organizer, the upcoming virtual R Conference, and his work as a consultant for a variety of companies from metal workers to professional football teams.

In this episode you will learn:

Jared’s R meetups and our professional history [3:27]

NYHackR [6:42]

The R Conference [13:25]

R for Everyone [18:55]

Lander Analytics [22:10]

Job openings at Lander Analytics [25:04]

R vs. Python [29:15]

The importance of pizza in Jared’s life [32:19]


Additional materials: www.superdatascience.com/501</description>
      <pubDate>Tue, 31 Aug 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f0d4b464-1c32-11ef-9765-c3f7503d40c2/image/e433ab93f20abe9c5ed7e1d57034fd43.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jared Lander joins us to discuss his work as an R meetup organizer, the upcoming virtual R Conference, and his work as a consultant for a variety of companies from metal workers to professional football teams.</itunes:subtitle>
      <itunes:summary>Jared Lander joins us to discuss his work as an R meetup organizer, the upcoming virtual R Conference, and his work as a consultant for a variety of companies from metal workers to professional football teams.

In this episode you will learn:

Jared’s R meetups and our professional history [3:27]

NYHackR [6:42]

The R Conference [13:25]

R for Everyone [18:55]

Lander Analytics [22:10]

Job openings at Lander Analytics [25:04]

R vs. Python [29:15]

The importance of pizza in Jared’s life [32:19]


Additional materials: www.superdatascience.com/501</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jared Lander joins us to discuss his work as an R meetup organizer, the upcoming virtual R Conference, and his work as a consultant for a variety of companies from metal workers to professional football teams.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Jared’s R meetups and our professional history [3:27]</li>
<li>NYHackR [6:42]</li>
<li>The R Conference [13:25]</li>
<li>R for Everyone [18:55]</li>
<li>Lander Analytics [22:10]</li>
<li>Job openings at Lander Analytics [25:04]</li>
<li>R vs. Python [29:15]</li>
<li>The importance of pizza in Jared’s life [32:19]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/501">www.superdatascience.com/501</a></p>]]>
      </content:encoded>
      <itunes:duration>2480</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9114714]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9908285136.mp3?updated=1724396890" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>500: Yoga Nidra with Jes Allen</title>
      <description>In this very special episode, we delve into a live yoga Nidra practice with Jes Allen and go over how you can open up to consciousness through yoga practice.

In this episode you will learn:

[3:40] What Yoga means

[10:00] Jes’s current work as a yoga practitioner

[22:31] How to find Jes online

[27:09] The Yoga Nidra practice

[54:50] Coming out of the practice


Additional materials: www.superdatascience.com/500</description>
      <pubDate>Fri, 27 Aug 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f14ced12-1c32-11ef-9765-c37d7fde0ded/image/54421abf4ced024bb84bbd68d58d9234.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this very special episode, we delve into a live yoga Nidra practice with Jes Allen and go over how you can open up to consciousness through yoga practice.</itunes:subtitle>
      <itunes:summary>In this very special episode, we delve into a live yoga Nidra practice with Jes Allen and go over how you can open up to consciousness through yoga practice.

In this episode you will learn:

[3:40] What Yoga means

[10:00] Jes’s current work as a yoga practitioner

[22:31] How to find Jes online

[27:09] The Yoga Nidra practice

[54:50] Coming out of the practice


Additional materials: www.superdatascience.com/500</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this very special episode, we delve into a live yoga Nidra practice with Jes Allen and go over how you can open up to consciousness through yoga practice.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>[3:40] What Yoga means</li>
<li>[10:00] Jes’s current work as a yoga practitioner</li>
<li>[22:31] How to find Jes online</li>
<li>[27:09] The Yoga Nidra practice</li>
<li>[54:50] Coming out of the practice</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/500">www.superdatascience.com/500</a></p>]]>
      </content:encoded>
      <itunes:duration>3629</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9078248]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6865616556.mp3?updated=1724229657" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>499: Data Meshes and Data Reliability</title>
      <description>Barr Moses joins us to discuss the importance of data reliability for pipelines and how companies can achieve data mesh.

In this episode you will learn:

Data meshes [4:25]

Self-serve data reliability [15:36]

How Monte Carlo helps data up time [21:13]

How to build an effective data science team [26:50]

LinkedIn Q&amp;A [31:50]


Additional materials: www.superdatascience.com/499</description>
      <pubDate>Tue, 24 Aug 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f200b464-1c32-11ef-9765-4f2c03a58ace/image/14dd2cda6c22d91eeec56145885cb44f.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Barr Moses joins us to discuss the importance of data reliability for pipelines and how companies can achieve data mesh.</itunes:subtitle>
      <itunes:summary>Barr Moses joins us to discuss the importance of data reliability for pipelines and how companies can achieve data mesh.

In this episode you will learn:

Data meshes [4:25]

Self-serve data reliability [15:36]

How Monte Carlo helps data up time [21:13]

How to build an effective data science team [26:50]

LinkedIn Q&amp;A [31:50]


Additional materials: www.superdatascience.com/499</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Barr Moses joins us to discuss the importance of data reliability for pipelines and how companies can achieve data mesh.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Data meshes [4:25]</li>
<li>Self-serve data reliability [15:36]</li>
<li>How Monte Carlo helps data up time [21:13]</li>
<li>How to build an effective data science team [26:50]</li>
<li>LinkedIn Q&amp;A [31:50]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/499">www.superdatascience.com/499</a></p>]]>
      </content:encoded>
      <itunes:duration>3231</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9078113]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3527648878.mp3?updated=1724229620" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>498: How Only Beginners Know Everything</title>
      <description>In this episode, I dive into a reoccurring pattern I’ve noticed where beginners, myself included, think they’re more skilled and experienced than they really are.

Additional materials: www.superdatascience.com/498</description>
      <pubDate>Fri, 20 Aug 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f2a4deb8-1c32-11ef-9765-2701cffbcbcc/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I dive into a reoccurring pattern I’ve noticed where beginners, myself included, think they’re more skilled and experienced than they really are.</itunes:subtitle>
      <itunes:summary>In this episode, I dive into a reoccurring pattern I’ve noticed where beginners, myself included, think they’re more skilled and experienced than they really are.

Additional materials: www.superdatascience.com/498</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I dive into a reoccurring pattern I’ve noticed where beginners, myself included, think they’re more skilled and experienced than they really are.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/498">www.superdatascience.com/498</a></p>]]>
      </content:encoded>
      <itunes:duration>353</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9054577]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5904599163.mp3?updated=1724229592" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>497: Maximizing the Global Impact of Your Career</title>
      <description>Benjamin Todd joins us to discuss his work helping professionals maximize their career capital, the top skills to learn across professions, and more.

In this episode you will learn:

How Benjamin helped me become a data scientist [6:56]

How did 80,000 Hours come about? [9:39]

The impact of 80,000 Hours [14:46]

Funding [17:23]

Where does the name come from? [23:32]

What kind of advice does Benjamin give to people? [25:21]

How data scientists can make an impact [42:04]

How can someone strategize about their career? [1:02:53]

Top skills that everyone should learn [1:05:49]


Additional materials: www.superdatascience.com/497</description>
      <pubDate>Tue, 17 Aug 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f34142bc-1c32-11ef-9765-4bc54b398501/image/ec0a565648ef5bdc68b90021d83dd89a.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Benjamin Todd joins us to discuss his work helping professionals maximize their career capital, the top skills to learn across professions, and more.</itunes:subtitle>
      <itunes:summary>Benjamin Todd joins us to discuss his work helping professionals maximize their career capital, the top skills to learn across professions, and more.

In this episode you will learn:

How Benjamin helped me become a data scientist [6:56]

How did 80,000 Hours come about? [9:39]

The impact of 80,000 Hours [14:46]

Funding [17:23]

Where does the name come from? [23:32]

What kind of advice does Benjamin give to people? [25:21]

How data scientists can make an impact [42:04]

How can someone strategize about their career? [1:02:53]

Top skills that everyone should learn [1:05:49]


Additional materials: www.superdatascience.com/497</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Benjamin Todd joins us to discuss his work helping professionals maximize their career capital, the top skills to learn across professions, and more.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>How Benjamin helped me become a data scientist [6:56]</li>
<li>How did 80,000 Hours come about? [9:39]</li>
<li>The impact of 80,000 Hours [14:46]</li>
<li>Funding [17:23]</li>
<li>Where does the name come from? [23:32]</li>
<li>What kind of advice does Benjamin give to people? [25:21]</li>
<li>How data scientists can make an impact [42:04]</li>
<li>How can someone strategize about their career? [1:02:53]</li>
<li>Top skills that everyone should learn [1:05:49]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/497">www.superdatascience.com/497</a></p>]]>
      </content:encoded>
      <itunes:duration>4745</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9041785]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4842020828.mp3?updated=1724229558" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>496: 2040: A Brain-Computer Interface Story</title>
      <description>In this episode, you’ll enjoy a fictional narrative I’ve titled “2040: A Brain-Computer Interface Story”.

Additional materials: www.superdatascience.com/496</description>
      <pubDate>Fri, 13 Aug 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f3e2143a-1c32-11ef-9765-3b13d45a793c/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, you’ll enjoy a fictional narrative I’ve titled “2040: A Brain-Computer Interface Story”.</itunes:subtitle>
      <itunes:summary>In this episode, you’ll enjoy a fictional narrative I’ve titled “2040: A Brain-Computer Interface Story”.

Additional materials: www.superdatascience.com/496</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, you’ll enjoy a fictional narrative I’ve titled “2040: A Brain-Computer Interface Story”.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/496">www.superdatascience.com/496</a></p>]]>
      </content:encoded>
      <itunes:duration>236</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9023202]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1684881507.mp3?updated=1724229525" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>495: Successful AI Projects and AI Startups</title>
      <description>Greg Coquillo joins us to discuss his work on ROI for startups and the best ways to make the most of your company’s AI investment.

In this episode you will learn:

Our connection through Harpreet’s happy hours and DSGO [4:48]

Greg’s content on LinkedIn [6:40]

The scope of Greg’s work [9:25]

Making the most out of AI [16:05]

LinkedIn Q&amp;A [20:00]

Quantum machine learning [32:06]


Additional materials: www.superdatascience.com/495</description>
      <pubDate>Wed, 11 Aug 2021 10:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f4580348-1c32-11ef-9765-23d082ade23a/image/d4cbc642720d8dccfbdc9f24c2ceb37b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Greg Coquillo joins us to discuss his work on ROI for startups and the best ways to make the most of your company’s AI investment.</itunes:subtitle>
      <itunes:summary>Greg Coquillo joins us to discuss his work on ROI for startups and the best ways to make the most of your company’s AI investment.

In this episode you will learn:

Our connection through Harpreet’s happy hours and DSGO [4:48]

Greg’s content on LinkedIn [6:40]

The scope of Greg’s work [9:25]

Making the most out of AI [16:05]

LinkedIn Q&amp;A [20:00]

Quantum machine learning [32:06]


Additional materials: www.superdatascience.com/495</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Greg Coquillo joins us to discuss his work on ROI for startups and the best ways to make the most of your company’s AI investment.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Our connection through Harpreet’s happy hours and DSGO [4:48]</li>
<li>Greg’s content on LinkedIn [6:40]</li>
<li>The scope of Greg’s work [9:25]</li>
<li>Making the most out of AI [16:05]</li>
<li>LinkedIn Q&amp;A [20:00]</li>
<li>Quantum machine learning [32:06]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/495">www.superdatascience.com/495</a></p>]]>
      </content:encoded>
      <itunes:duration>2982</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-9010973]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2487556627.mp3?updated=1724229503" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>494: How to Instantly Appreciate Being Alive</title>
      <description>In this episode, I talk about an interesting thought experiment that helps you appreciate your existence.

Additional materials: www.superdatascience.com/494</description>
      <pubDate>Fri, 06 Aug 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f4cc0554-1c32-11ef-9765-6f98de5de2dd/image/928e2b033622a634742c7e396bb79320.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I talk about an interesting thought experiment that helps you appreciate your existence.</itunes:subtitle>
      <itunes:summary>In this episode, I talk about an interesting thought experiment that helps you appreciate your existence.

Additional materials: www.superdatascience.com/494</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I talk about an interesting thought experiment that helps you appreciate your existence.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/494">www.superdatascience.com/494</a></p>]]>
      </content:encoded>
      <itunes:duration>170</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-8910815]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2351027662.mp3?updated=1724229468" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>493: Bringing Data to the People</title>
      <description>Anjali Shrivastava joins us to discuss her data science degree and her content creation efforts to bring data science to the people.

In this episode you will learn:

Anjali’s studies [2:00]

Anjali’s YouTube channel [11:57]

The content creation process [17:58]

Yoga during the pandemic [21:34]

Anjali as a writer [24:38]

Anjali’s dual degrees [31:28]

Anjali’s previous data science roles [43:04]

Anjali’s first full-time data job [51:12]

Anjali’s hopes for the future [55:29]


Additional materials: www.superdatascience.com/493</description>
      <pubDate>Tue, 03 Aug 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f578ba42-1c32-11ef-9765-37e4b667b903/image/9b2a5e5f92bbc19dac360beb4ca23bc9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Anjali Shrivastava joins us to discuss her data science degree and her content creation efforts to bring data science to the people.</itunes:subtitle>
      <itunes:summary>Anjali Shrivastava joins us to discuss her data science degree and her content creation efforts to bring data science to the people.

In this episode you will learn:

Anjali’s studies [2:00]

Anjali’s YouTube channel [11:57]

The content creation process [17:58]

Yoga during the pandemic [21:34]

Anjali as a writer [24:38]

Anjali’s dual degrees [31:28]

Anjali’s previous data science roles [43:04]

Anjali’s first full-time data job [51:12]

Anjali’s hopes for the future [55:29]


Additional materials: www.superdatascience.com/493</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Anjali Shrivastava joins us to discuss her data science degree and her content creation efforts to bring data science to the people.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Anjali’s studies [2:00]</li>
<li>Anjali’s YouTube channel [11:57]</li>
<li>The content creation process [17:58]</li>
<li>Yoga during the pandemic [21:34]</li>
<li>Anjali as a writer [24:38]</li>
<li>Anjali’s dual degrees [31:28]</li>
<li>Anjali’s previous data science roles [43:04]</li>
<li>Anjali’s first full-time data job [51:12]</li>
<li>Anjali’s hopes for the future [55:29]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/493">www.superdatascience.com/493</a></p>]]>
      </content:encoded>
      <itunes:duration>3761</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-8910656]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3081142567.mp3?updated=1724229446" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>492: The World is Awful (and it's Never Been Better)</title>
      <description>In this episode, I discuss the changing child mortality rate as evidence of how much better the world is and how much better it could be.

Additional materials: www.superdatascience.com/492</description>
      <pubDate>Fri, 30 Jul 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f824969e-1c32-11ef-9765-cb32b3cf06a5/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I discuss the changing child mortality rate as evidence of how much better the world is and how much better it could be.</itunes:subtitle>
      <itunes:summary>In this episode, I discuss the changing child mortality rate as evidence of how much better the world is and how much better it could be.

Additional materials: www.superdatascience.com/492</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I discuss the changing child mortality rate as evidence of how much better the world is and how much better it could be.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/492">www.superdatascience.com/492</a></p>]]>
      </content:encoded>
      <itunes:duration>348</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-8892369]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3991774374.mp3?updated=1724229408" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>491: R in Production</title>
      <description>Veerle van Leemput joins us to make the case for why you should be using R for production.

In this episode you will learn:

Our shared powerlifting passion [2:47]

The stigma of using R [12:02]

What does Analytic Health do? [13:55]

How Analytic Health uses R [19:08]

Tidyverse [34:44]

Tools for API creation [37:09]


Additional materials: www.superdatascience.com/491</description>
      <pubDate>Tue, 27 Jul 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f8a7930a-1c32-11ef-9765-c378953877e8/image/8c081cf6eabd0de6bbfcb535af3caed6.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Veerle van Leemput joins us to make the case for why you should be using R for production.</itunes:subtitle>
      <itunes:summary>Veerle van Leemput joins us to make the case for why you should be using R for production.

In this episode you will learn:

Our shared powerlifting passion [2:47]

The stigma of using R [12:02]

What does Analytic Health do? [13:55]

How Analytic Health uses R [19:08]

Tidyverse [34:44]

Tools for API creation [37:09]


Additional materials: www.superdatascience.com/491</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Veerle van Leemput joins us to make the case for why you should be using R for production.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Our shared powerlifting passion [2:47]</li>
<li>The stigma of using R [12:02]</li>
<li>What does Analytic Health do? [13:55]</li>
<li>How Analytic Health uses R [19:08]</li>
<li>Tidyverse [34:44]</li>
<li>Tools for API creation [37:09]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/491">www.superdatascience.com/491</a></p>]]>
      </content:encoded>
      <itunes:duration>2613</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-8892271]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3501804822.mp3?updated=1724229388" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>490: Say No to Pie Charts</title>
      <description>In this episode, I discuss why you should avoid the visually pleasing but flawed pie chart.

Additional materials: www.superdatascience.com/490</description>
      <pubDate>Fri, 23 Jul 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fc0dbb3c-1c32-11ef-9765-ff96d245e63d/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I discuss why you should avoid the visually pleasing but flawed pie chart.</itunes:subtitle>
      <itunes:summary>In this episode, I discuss why you should avoid the visually pleasing but flawed pie chart.

Additional materials: www.superdatascience.com/490</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I discuss why you should avoid the visually pleasing but flawed pie chart.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/490">www.superdatascience.com/490</a></p>]]>
      </content:encoded>
      <itunes:duration>119</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-8892205]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8845783944.mp3?updated=1724229355" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>489: Monetizing Machine Learning</title>
      <description>Vin Vashishta joins us to discuss his AI consulting work and his philosophy on AI strategy for monetization.

In this episode you will learn:

V-Squared [4:59]

Vin’s online content [17:18]

Low-code/no-code in data science [25:33]

Top five gap skills [35:19]

Data sets for insights on consumers and targeting [40:26]

Are there socially beneficial data science and machine learning applications? [43:16]

The most difficult data science problem Vin ever faced [50:39]


Additional materials: www.superdatascience.com/489</description>
      <pubDate>Tue, 20 Jul 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fd57e710-1c32-11ef-9765-373c909e26be/image/c5f20628939342061108fb2c07476c96.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Vin Vashishta joins us to discuss his AI consulting work and his philosophy on AI strategy for monetization.</itunes:subtitle>
      <itunes:summary>Vin Vashishta joins us to discuss his AI consulting work and his philosophy on AI strategy for monetization.

In this episode you will learn:

V-Squared [4:59]

Vin’s online content [17:18]

Low-code/no-code in data science [25:33]

Top five gap skills [35:19]

Data sets for insights on consumers and targeting [40:26]

Are there socially beneficial data science and machine learning applications? [43:16]

The most difficult data science problem Vin ever faced [50:39]


Additional materials: www.superdatascience.com/489</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Vin Vashishta joins us to discuss his AI consulting work and his philosophy on AI strategy for monetization.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>V-Squared [4:59]</li>
<li>Vin’s online content [17:18]</li>
<li>Low-code/no-code in data science [25:33]</li>
<li>Top five gap skills [35:19]</li>
<li>Data sets for insights on consumers and targeting [40:26]</li>
<li>Are there socially beneficial data science and machine learning applications? [43:16]</li>
<li>The most difficult data science problem Vin ever faced [50:39]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/489">www.superdatascience.com/489</a></p>]]>
      </content:encoded>
      <itunes:duration>3613</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-8892201]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6286446133.mp3?updated=1724229334" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>488: The Price of Your Attention</title>
      <description>In this episode, I discuss the simple and cheap ways you can buy yourself more time during the day.

Additional materials: www.superdatascience.com/488</description>
      <pubDate>Fri, 16 Jul 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fe0d9240-1c32-11ef-9765-ff288b92a63b/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I discuss the simple and cheap ways you can buy yourself more time during the day.</itunes:subtitle>
      <itunes:summary>In this episode, I discuss the simple and cheap ways you can buy yourself more time during the day.

Additional materials: www.superdatascience.com/488</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I discuss the simple and cheap ways you can buy yourself more time during the day.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/488">www.superdatascience.com/488</a></p>]]>
      </content:encoded>
      <itunes:duration>216</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-8855761]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6342898954.mp3?updated=1724229298" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>487: Fixing Dirty Data</title>
      <description>Susan Walsh joins us to discuss the importance of data cleaning and normalization and how clean procurement data can save companies money.

In this episode you will learn:

Susan’s “COAT” system [7:16]

The Classification Guru [15:39]

Case studies [22:46]

Susan’s book [30:26]


Additional materials: www.superdatascience.com/487</description>
      <pubDate>Tue, 13 Jul 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fea0ffa8-1c32-11ef-9765-e309b810fd3b/image/2ca8f5e70753c0ad26783407d0b66a08.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Susan Walsh joins us to discuss the importance of data cleaning and normalization and how clean procurement data can save companies money.</itunes:subtitle>
      <itunes:summary>Susan Walsh joins us to discuss the importance of data cleaning and normalization and how clean procurement data can save companies money.

In this episode you will learn:

Susan’s “COAT” system [7:16]

The Classification Guru [15:39]

Case studies [22:46]

Susan’s book [30:26]


Additional materials: www.superdatascience.com/487</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Susan Walsh joins us to discuss the importance of data cleaning and normalization and how clean procurement data can save companies money.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Susan’s “COAT” system [7:16]</li>
<li>The Classification Guru [15:39]</li>
<li>Case studies [22:46]</li>
<li>Susan’s book [30:26]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/487">www.superdatascience.com/487</a></p>]]>
      </content:encoded>
      <itunes:duration>2592</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-8855271]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5348641825.mp3?updated=1724229278" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>486: The History of Calculus</title>
      <description>In this episode, I go over the world history of calculus and how we still use these techniques today.

Additional materials: www.superdatascience.com/486</description>
      <pubDate>Fri, 09 Jul 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ff280c1e-1c32-11ef-9765-13e18ca96475/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I go over the world history of calculus and how we still use these techniques today.</itunes:subtitle>
      <itunes:summary>In this episode, I go over the world history of calculus and how we still use these techniques today.

Additional materials: www.superdatascience.com/486</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I go over the world history of calculus and how we still use these techniques today.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/486">www.superdatascience.com/486</a></p>]]>
      </content:encoded>
      <itunes:duration>380</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-8830505]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6016824907.mp3?updated=1724229248" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>485: Financial Data Engineering</title>
      <description>Doug Eisenstein joins us for a great and in-depth conversation on data engineering in the financial sector.

In this episode you will learn:
• The founding of Advanti [4:37]
• Aristos and solution products [16:45]
• The kinds of financial industries and how Doug helps [26:25]
• Entity Extraction [34:27]
• Temporality data [44:27]
• How to work with Doug [58:19]

Additional materials: www.superdatascience.com/485</description>
      <pubDate>Tue, 06 Jul 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0029655e-1c33-11ef-9765-9b66615b2b65/image/60cf2a83fb1e9d71bf8799cbb8976e9b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Doug Eisenstein joins us for a great and in-depth conversation on data engineering in the financial sector.</itunes:subtitle>
      <itunes:summary>Doug Eisenstein joins us for a great and in-depth conversation on data engineering in the financial sector.

In this episode you will learn:
• The founding of Advanti [4:37]
• Aristos and solution products [16:45]
• The kinds of financial industries and how Doug helps [26:25]
• Entity Extraction [34:27]
• Temporality data [44:27]
• How to work with Doug [58:19]

Additional materials: www.superdatascience.com/485</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Doug Eisenstein joins us for a great and in-depth conversation on data engineering in the financial sector.</p><p><br></p><p>In this episode you will learn:</p><p>• The founding of Advanti [4:37]</p><p>• Aristos and solution products [16:45]</p><p>• The kinds of financial industries and how Doug helps [26:25]</p><p>• Entity Extraction [34:27]</p><p>• Temporality data [44:27]</p><p>• How to work with Doug [58:19]</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/485">www.superdatascience.com/485</a></p>]]>
      </content:encoded>
      <itunes:duration>3933</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-8818847]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9646987201.mp3?updated=1724232835" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>484: Algorithm Aversion</title>
      <description>In this episode, I discuss interesting research on why humans are so quick to lose faith in algorithms.

Additional materials: www.superdatascience.com/484</description>
      <pubDate>Fri, 02 Jul 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/00a92cb2-1c33-11ef-9765-5338bacd3e6c/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I discuss interesting research on why humans are so quick to lose faith in algorithms.</itunes:subtitle>
      <itunes:summary>In this episode, I discuss interesting research on why humans are so quick to lose faith in algorithms.

Additional materials: www.superdatascience.com/484</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I discuss interesting research on why humans are so quick to lose faith in algorithms.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/484">www.superdatascience.com/484</a></p>]]>
      </content:encoded>
      <itunes:duration>175</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-8800686]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6929317338.mp3?updated=1724229219" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>483: Setting Yourself Apart in Data Science Interviews</title>
      <description>Andrew Jones joins us to discuss data science interviews and how you can maximize your chances on interview time, resume, and more!

In this episode you will learn:

Data Science Infinity [5:40]

“The Essential AI and Data Science Handbook for Recruitment” [17:40]

How can aspiring data scientists set themselves apart? [21:30]

What skillset should data scientists have? [34:36]

Should data science be trying to be data engineers? [41:14]

How can organizations ensure data science projects are a success? [50:50]


Additional materials: www.superdatascience.com/483</description>
      <pubDate>Tue, 29 Jun 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0126e36e-1c33-11ef-9765-1b1b77934dfa/image/ab7adf705c5d118d39eb40fb2e9291d0.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Andrew Jones joins us to discuss data science interviews and how you can maximize your chances on interview time, resume, and more!</itunes:subtitle>
      <itunes:summary>Andrew Jones joins us to discuss data science interviews and how you can maximize your chances on interview time, resume, and more!

In this episode you will learn:

Data Science Infinity [5:40]

“The Essential AI and Data Science Handbook for Recruitment” [17:40]

How can aspiring data scientists set themselves apart? [21:30]

What skillset should data scientists have? [34:36]

Should data science be trying to be data engineers? [41:14]

How can organizations ensure data science projects are a success? [50:50]


Additional materials: www.superdatascience.com/483</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Andrew Jones joins us to discuss data science interviews and how you can maximize your chances on interview time, resume, and more!</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Data Science Infinity [5:40]</li>
<li>“The Essential AI and Data Science Handbook for Recruitment” [17:40]</li>
<li>How can aspiring data scientists set themselves apart? [21:30]</li>
<li>What skillset should data scientists have? [34:36]</li>
<li>Should data science be trying to be data engineers? [41:14]</li>
<li>How can organizations ensure data science projects are a success? [50:50]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/483">www.superdatascience.com/483</a></p>]]>
      </content:encoded>
      <itunes:duration>3867</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-8781628]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1663419960.mp3?updated=1724229179" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>482: Continuous Calendars</title>
      <description>In this episode, I talk about the advantages of using a continuous calendar.

Additional materials: www.superdatascience.com/482</description>
      <pubDate>Fri, 25 Jun 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/01a7c2ea-1c33-11ef-9765-bf253693f362/image/87876fbc705270ca94fcf3e838ca82b9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I talk about the advantages of using a continuous calendar.</itunes:subtitle>
      <itunes:summary>In this episode, I talk about the advantages of using a continuous calendar.

Additional materials: www.superdatascience.com/482</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I talk about the advantages of using a continuous calendar.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/482">www.superdatascience.com/482</a></p>]]>
      </content:encoded>
      <itunes:duration>288</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[Buzzsprout-8762087]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9410623583.mp3?updated=1724229144" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>481: Performance Marketing Analytics</title>
      <description>Kris Tait joins us to discuss the vast world of digital performance marketing and how automation, data, and optimization play an important role.

In this episode you will learn:

What is performance marketing? [3:29]

How can advertisers take advantage of these tactics? [13:04]

The importance of quality data in performance marketing [20:19]

Human value performance marketing [25:30]

How does Croud optimize? [29:05]

What are the best KPIs in this industry? [34:02]

Roles available at Croud now [39:11]

Typical tools at Croud [42:43]

What clients work best for Croud? [48:56]


Additional materials: www.superdatascience.com/481</description>
      <pubDate>Tue, 22 Jun 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/021efad6-1c33-11ef-9765-bbacdb5a73af/image/b86a5f8b5396423a04d092abd431a81b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Kris Tait joins us to discuss the vast world of digital performance marketing and how automation, data, and optimization play an important role.</itunes:subtitle>
      <itunes:summary>Kris Tait joins us to discuss the vast world of digital performance marketing and how automation, data, and optimization play an important role.

In this episode you will learn:

What is performance marketing? [3:29]

How can advertisers take advantage of these tactics? [13:04]

The importance of quality data in performance marketing [20:19]

Human value performance marketing [25:30]

How does Croud optimize? [29:05]

What are the best KPIs in this industry? [34:02]

Roles available at Croud now [39:11]

Typical tools at Croud [42:43]

What clients work best for Croud? [48:56]


Additional materials: www.superdatascience.com/481</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Kris Tait joins us to discuss the vast world of digital performance marketing and how automation, data, and optimization play an important role.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What is performance marketing? [3:29]</li>
<li>How can advertisers take advantage of these tactics? [13:04]</li>
<li>The importance of quality data in performance marketing [20:19]</li>
<li>Human value performance marketing [25:30]</li>
<li>How does Croud optimize? [29:05]</li>
<li>What are the best KPIs in this industry? [34:02]</li>
<li>Roles available at Croud now [39:11]</li>
<li>Typical tools at Croud [42:43]</li>
<li>What clients work best for Croud? [48:56]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/481">www.superdatascience.com/481</a></p>]]>
      </content:encoded>
      <itunes:duration>3528</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1072820338]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3505456659.mp3?updated=1724229116" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>480: Top Five Resume Tips</title>
      <description>In this episode, I go over my top 5 tips for refining your perfect data science resume. 

Additional materials: www.superdatascience.com/480</description>
      <pubDate>Fri, 18 Jun 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/029ede2c-1c33-11ef-9765-7b569dfa0425/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I go over my top 5 tips for refining your perfect data science resume. </itunes:subtitle>
      <itunes:summary>In this episode, I go over my top 5 tips for refining your perfect data science resume. 

Additional materials: www.superdatascience.com/480</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I go over my top 5 tips for refining your perfect data science resume. </p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/480">www.superdatascience.com/480</a></p>]]>
      </content:encoded>
      <itunes:duration>480</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1070314135]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2527566043.mp3?updated=1724228954" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>479: Knowledge Graphs</title>
      <description>Maureen Teyssier joins us to discuss the cutting-edge work Reonomy is doing in commercial property real estate and her views and tips on building a great data science team.

In this episode you will learn:

Maureen’s work with Reonomy [5:40]

Knowledge graphs and use cases [7:35]

Other tools Reonomy uses [18:58]

What Maureen looks for in potential hires, soft skills and hard skills [26:28]

Hiring at Reonomy [41:40]

Maureen’s tips for growing a data science team [48:55]

Tools to transition from academia to industry [52:45]


Additional materials: www.superdatascience.com/479</description>
      <pubDate>Tue, 15 Jun 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0310bbb4-1c33-11ef-9765-bf9960d3521a/image/585c6ccda9ae70a39056d66ce1b52cb3.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Maureen Teyssier joins us to discuss the cutting-edge work Reonomy is doing in commercial property real estate and her views and tips on building a great data science team.</itunes:subtitle>
      <itunes:summary>Maureen Teyssier joins us to discuss the cutting-edge work Reonomy is doing in commercial property real estate and her views and tips on building a great data science team.

In this episode you will learn:

Maureen’s work with Reonomy [5:40]

Knowledge graphs and use cases [7:35]

Other tools Reonomy uses [18:58]

What Maureen looks for in potential hires, soft skills and hard skills [26:28]

Hiring at Reonomy [41:40]

Maureen’s tips for growing a data science team [48:55]

Tools to transition from academia to industry [52:45]


Additional materials: www.superdatascience.com/479</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Maureen Teyssier joins us to discuss the cutting-edge work Reonomy is doing in commercial property real estate and her views and tips on building a great data science team.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Maureen’s work with Reonomy [5:40]</li>
<li>Knowledge graphs and use cases [7:35]</li>
<li>Other tools Reonomy uses [18:58]</li>
<li>What Maureen looks for in potential hires, soft skills and hard skills [26:28]</li>
<li>Hiring at Reonomy [41:40]</li>
<li>Maureen’s tips for growing a data science team [48:55]</li>
<li>Tools to transition from academia to industry [52:45]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/479">www.superdatascience.com/479</a></p>]]>
      </content:encoded>
      <itunes:duration>4358</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1068694861]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3791013750.mp3?updated=1724228933" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>478: Five Keys to Success</title>
      <description>In this episode, I go over my 5 keys to success to tackle any goal.

Additional materials: www.superdatascience.com/478</description>
      <pubDate>Fri, 11 Jun 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/038419c4-1c33-11ef-9765-c356d5286e62/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I go over my 5 keys to success to tackle any goal.</itunes:subtitle>
      <itunes:summary>In this episode, I go over my 5 keys to success to tackle any goal.

Additional materials: www.superdatascience.com/478</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I go over my 5 keys to success to tackle any goal.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/478">www.superdatascience.com/478</a></p>]]>
      </content:encoded>
      <itunes:duration>333</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1065630262]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8607864358.mp3?updated=1724228864" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>477: How to Thrive as an Early-Career Data Scientist</title>
      <description>Sidney Arcidiacono joins us to discuss her studies and work at Make School and her interest in utilizing AI for healthcare, as well as her tips and strategies for becoming a successful early-career data scientist.

In this episode you will learn:

What is Make School? [5:00]

Sidney’s interest in AI and computer science [10:56]

Graph theory and graph convolutional neural networks [19:53]

What tools does Sidney use for her work? [31:16]

Sidney’s internship [36:52]

How other beginners can get involved in data science [38:12]

Sidney’s goals [41:57]


Additional materials: www.superdatascience.com/477</description>
      <pubDate>Tue, 08 Jun 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0456a876-1c33-11ef-9765-e34d92e8de20/image/1c76e0702e6da9f6c950032a0c2b907b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Sidney Arcidiacono joins us to discuss her studies and work at Make School and her interest in utilizing AI for healthcare, as well as her tips and strategies for becoming a successful early-career data scientist.</itunes:subtitle>
      <itunes:summary>Sidney Arcidiacono joins us to discuss her studies and work at Make School and her interest in utilizing AI for healthcare, as well as her tips and strategies for becoming a successful early-career data scientist.

In this episode you will learn:

What is Make School? [5:00]

Sidney’s interest in AI and computer science [10:56]

Graph theory and graph convolutional neural networks [19:53]

What tools does Sidney use for her work? [31:16]

Sidney’s internship [36:52]

How other beginners can get involved in data science [38:12]

Sidney’s goals [41:57]


Additional materials: www.superdatascience.com/477</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Sidney Arcidiacono joins us to discuss her studies and work at Make School and her interest in utilizing AI for healthcare, as well as her tips and strategies for becoming a successful early-career data scientist.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What is Make School? [5:00]</li>
<li>Sidney’s interest in AI and computer science [10:56]</li>
<li>Graph theory and graph convolutional neural networks [19:53]</li>
<li>What tools does Sidney use for her work? [31:16]</li>
<li>Sidney’s internship [36:52]</li>
<li>How other beginners can get involved in data science [38:12]</li>
<li>Sidney’s goals [41:57]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/477">www.superdatascience.com/477</a></p>]]>
      </content:encoded>
      <itunes:duration>3028</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1064130520]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7525939648.mp3?updated=1724228827" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>476: Peer-Driven Learning</title>
      <description>In this episode, I discuss the amazing benefits of implementing peer-driven learning in your professional life.

Additional materials: www.superdatascience.com/476</description>
      <pubDate>Fri, 04 Jun 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/04d389ae-1c33-11ef-9765-5b7d78da31ca/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I discuss the amazing benefits of implementing peer-driven learning in your professional life.</itunes:subtitle>
      <itunes:summary>In this episode, I discuss the amazing benefits of implementing peer-driven learning in your professional life.

Additional materials: www.superdatascience.com/476</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I discuss the amazing benefits of implementing peer-driven learning in your professional life.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/476">www.superdatascience.com/476</a></p>]]>
      </content:encoded>
      <itunes:duration>178</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1061044639]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2345228132.mp3?updated=1724228777" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>475: The 20% of Analytics Driving 80% of ROI</title>
      <description>David Langer joins us to discuss his work as a data analytics educator and his beliefs in the use of Excel, SQL and R in analytics work.

In this episode you will learn:

Intro to Dave on Data [6:50]

20% analytics that drives 80% of ROI [11:04]

The benefits of SQL [19:15]

The uses of R [24:50]

Machine learning [34:15]


Additional materials: www.superdatascience.com/475</description>
      <pubDate>Tue, 01 Jun 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/05455070-1c33-11ef-9765-5fd7da926d2c/image/14d57628e93dc11fcfa1d307bce10d22.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>David Langer joins us to discuss his work as a data analytics educator and his beliefs in the use of Excel, SQL and R in analytics work.</itunes:subtitle>
      <itunes:summary>David Langer joins us to discuss his work as a data analytics educator and his beliefs in the use of Excel, SQL and R in analytics work.

In this episode you will learn:

Intro to Dave on Data [6:50]

20% analytics that drives 80% of ROI [11:04]

The benefits of SQL [19:15]

The uses of R [24:50]

Machine learning [34:15]


Additional materials: www.superdatascience.com/475</itunes:summary>
      <content:encoded>
        <![CDATA[<p>David Langer joins us to discuss his work as a data analytics educator and his beliefs in the use of Excel, SQL and R in analytics work.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Intro to Dave on Data [6:50]</li>
<li>20% analytics that drives 80% of ROI [11:04]</li>
<li>The benefits of SQL [19:15]</li>
<li>The uses of R [24:50]</li>
<li>Machine learning [34:15]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/475">www.superdatascience.com/475</a></p>]]>
      </content:encoded>
      <itunes:duration>2679</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1059561436]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8978119837.mp3?updated=1724228736" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>474: The Machine Learning House</title>
      <description>In this episode, I discuss the architecture of a “machine learning house”, representing the skills and learnings you can use as foundations to build your data science career.

Additional materials: www.superdatascience.com/474</description>
      <pubDate>Fri, 28 May 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/070264d4-1c33-11ef-9765-cb1018566f7d/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I discuss the architecture of a “machine learning house”, representing the skills and learnings you can use as foundations to build your data science career.</itunes:subtitle>
      <itunes:summary>In this episode, I discuss the architecture of a “machine learning house”, representing the skills and learnings you can use as foundations to build your data science career.

Additional materials: www.superdatascience.com/474</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I discuss the architecture of a “machine learning house”, representing the skills and learnings you can use as foundations to build your data science career.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/474">www.superdatascience.com/474</a></p>]]>
      </content:encoded>
      <itunes:duration>344</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1056489508]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2252211497.mp3?updated=1724228694" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>473: Machine Learning at NVIDIA</title>
      <description>Anima Anandkumar joins us to discuss her work as a researcher in machine learning at NVIDIA and a professor at CalTech, and how they often go hand-in-hand and inform each other.

In this episode you will learn:

Anima’s recent discovery of yoga [5:20]

How does Anima balance her work? [12:25]

Applications of Anima’s work [14:45]

Tensors [22:55]

Anima’s favorite NVIDIA projects [35:35]

What tools does NVIDIA use? [41:55]

CalTech interdisciplinary science [47:41]

The path to generalized artificial intelligence [57:19]

The skills to have to get into this field [1:00:27]

LinkedIn questions for Anima [1:07:03]


Additional materials: www.superdatascience.com/473</description>
      <pubDate>Tue, 25 May 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/079b3f60-1c33-11ef-9765-3f62e652a998/image/b74be621527d67b47393835adcb8104b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Anima Anandkumar joins us to discuss her work as a researcher in machine learning at NVIDIA and a professor at CalTech, and how they often go hand-in-hand and inform each other.</itunes:subtitle>
      <itunes:summary>Anima Anandkumar joins us to discuss her work as a researcher in machine learning at NVIDIA and a professor at CalTech, and how they often go hand-in-hand and inform each other.

In this episode you will learn:

Anima’s recent discovery of yoga [5:20]

How does Anima balance her work? [12:25]

Applications of Anima’s work [14:45]

Tensors [22:55]

Anima’s favorite NVIDIA projects [35:35]

What tools does NVIDIA use? [41:55]

CalTech interdisciplinary science [47:41]

The path to generalized artificial intelligence [57:19]

The skills to have to get into this field [1:00:27]

LinkedIn questions for Anima [1:07:03]


Additional materials: www.superdatascience.com/473</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Anima Anandkumar joins us to discuss her work as a researcher in machine learning at NVIDIA and a professor at CalTech, and how they often go hand-in-hand and inform each other.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Anima’s recent discovery of yoga [5:20]</li>
<li>How does Anima balance her work? [12:25]</li>
<li>Applications of Anima’s work [14:45]</li>
<li>Tensors [22:55]</li>
<li>Anima’s favorite NVIDIA projects [35:35]</li>
<li>What tools does NVIDIA use? [41:55]</li>
<li>CalTech interdisciplinary science [47:41]</li>
<li>The path to generalized artificial intelligence [57:19]</li>
<li>The skills to have to get into this field [1:00:27]</li>
<li>LinkedIn questions for Anima [1:07:03]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/473">www.superdatascience.com/473</a></p>]]>
      </content:encoded>
      <itunes:duration>4390</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1055058337]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9635037649.mp3?updated=1724228673" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>472: The Learning Never Stops (so Relax)</title>
      <description>In this episode, I share a note I received from a student who expressed his thoughts on the learning that never stops as he goes through his data science career.

Additional materials: www.superdatascience.com/472</description>
      <pubDate>Fri, 21 May 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/081d564e-1c33-11ef-9765-13670e3cb5da/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I share a note I received from a student who expressed his thoughts on the learning that never stops as he goes through his data science career.</itunes:subtitle>
      <itunes:summary>In this episode, I share a note I received from a student who expressed his thoughts on the learning that never stops as he goes through his data science career.

Additional materials: www.superdatascience.com/472</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I share a note I received from a student who expressed his thoughts on the learning that never stops as he goes through his data science career.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/472">www.superdatascience.com/472</a></p>]]>
      </content:encoded>
      <itunes:duration>203</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1051954480]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5924584327.mp3?updated=1724228596" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>471: 99 Days to Your First Data Science Job</title>
      <description>Kirill Eremenko returns to the SDS podcast as a guest to debunk common myths you may believe about getting a data science job.

In this episode you will learn:

What has Kirill been up to? [3:48]

The genesis of the 99-days challenge [5:27]

5 myths about pursuing a data science career [15:49]

First data science jobs [1:00:53]

5 components for success [1:08:19]


Additional materials: www.superdatascience.com/471</description>
      <pubDate>Tue, 18 May 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0893b082-1c33-11ef-9765-bf10a29aab7b/image/20ea5cd012453ce02ec4bd8ed36d8f23.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Kirill Eremenko returns to the SDS podcast as a guest to debunk common myths you may believe about getting a data science job.</itunes:subtitle>
      <itunes:summary>Kirill Eremenko returns to the SDS podcast as a guest to debunk common myths you may believe about getting a data science job.

In this episode you will learn:

What has Kirill been up to? [3:48]

The genesis of the 99-days challenge [5:27]

5 myths about pursuing a data science career [15:49]

First data science jobs [1:00:53]

5 components for success [1:08:19]


Additional materials: www.superdatascience.com/471</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Kirill Eremenko returns to the SDS podcast as a guest to debunk common myths you may believe about getting a data science job.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What has Kirill been up to? [3:48]</li>
<li>The genesis of the 99-days challenge [5:27]</li>
<li>5 myths about pursuing a data science career [15:49]</li>
<li>First data science jobs [1:00:53]</li>
<li>5 components for success [1:08:19]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/471">www.superdatascience.com/471</a></p>]]>
      </content:encoded>
      <itunes:duration>6045</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1050732691]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4460785773.mp3?updated=1724228572" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>470: My Favorite Books</title>
      <description>In this episode, I follow up on the popular book recommendation portion of the podcast with my own list of favorite books. 

Additional materials: www.superdatascience.com/470</description>
      <pubDate>Fri, 14 May 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/090c501e-1c33-11ef-9765-8727a961628e/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I follow up on the popular book recommendation portion of the podcast with my own list of favorite books. </itunes:subtitle>
      <itunes:summary>In this episode, I follow up on the popular book recommendation portion of the podcast with my own list of favorite books. 

Additional materials: www.superdatascience.com/470</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I follow up on the popular book recommendation portion of the podcast with my own list of favorite books. </p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/470">www.superdatascience.com/470</a></p>]]>
      </content:encoded>
      <itunes:duration>364</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1048034203]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8966108750.mp3?updated=1724228525" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>469: Learning Deep Learning Together</title>
      <description>Konrad Körding joins us to discuss his work in educating the next generation in deep learning and his views on the importance of causality in deep learning research.

In this episode you will learn:

Konrad’s academic background [3:54]

Neuromatch Academy [5:23]

Artificial general intelligence [35:02]

Defining deep learning [41:24]

Symbol representation [44:12]

Konrad’s career journey [47:25]

What other skills should you develop for the future? [52:46]

What is the future of intelligence in our timeline? [56:37]


Additional materials: www.superdatascience.com/469</description>
      <pubDate>Tue, 11 May 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/09987314-1c33-11ef-9765-cbbd98ef31ae/image/8a2340fe8312f5d6295282a1e9a84502.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Konrad Körding joins us to discuss his work in educating the next generation in deep learning and his views on the importance of causality in deep learning research.</itunes:subtitle>
      <itunes:summary>Konrad Körding joins us to discuss his work in educating the next generation in deep learning and his views on the importance of causality in deep learning research.

In this episode you will learn:

Konrad’s academic background [3:54]

Neuromatch Academy [5:23]

Artificial general intelligence [35:02]

Defining deep learning [41:24]

Symbol representation [44:12]

Konrad’s career journey [47:25]

What other skills should you develop for the future? [52:46]

What is the future of intelligence in our timeline? [56:37]


Additional materials: www.superdatascience.com/469</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Konrad Körding joins us to discuss his work in educating the next generation in deep learning and his views on the importance of causality in deep learning research.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Konrad’s academic background [3:54]</li>
<li>Neuromatch Academy [5:23]</li>
<li>Artificial general intelligence [35:02]</li>
<li>Defining deep learning [41:24]</li>
<li>Symbol representation [44:12]</li>
<li>Konrad’s career journey [47:25]</li>
<li>What other skills should you develop for the future? [52:46]</li>
<li>What is the future of intelligence in our timeline? [56:37]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/469">www.superdatascience.com/469</a></p>]]>
      </content:encoded>
      <itunes:duration>4313</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1046708419]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7625264783.mp3?updated=1724228502" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>468: The History of Data</title>
      <description>In this episode, I tackle another historical topic: the history of data.

Additional materials: www.superdatascience.com/468</description>
      <pubDate>Fri, 07 May 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0a16cf2a-1c33-11ef-9765-d7a977b7ee69/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I tackle another historical topic: the history of data.</itunes:subtitle>
      <itunes:summary>In this episode, I tackle another historical topic: the history of data.

Additional materials: www.superdatascience.com/468</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I tackle another historical topic: the history of data.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/468">www.superdatascience.com/468</a></p>]]>
      </content:encoded>
      <itunes:duration>466</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1043603722]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1560539531.mp3?updated=1724228451" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>467: High-Impact Data Science Made Easy</title>
      <description>Noah Gift joins us to discuss how he believes data science urgency and the end of hierarchies will change the world for the better.

In this episode you will learn:

Catch up with Noah [2:50]

Educational options to pursue in data science [13:09]

Outside university education [24:06]

Noah as a prolific author [28:15]

Urgent applications of technology [37:34]

Noah’s income streams color code [48:38]

How to harness our free time to solve big problems [54:13]

Noah’s Coursera course [1:09:12]


Additional materials: www.superdatascience.com/467</description>
      <pubDate>Tue, 04 May 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0a90cc62-1c33-11ef-9765-3bcd01c6c468/image/8c816d567373446f94f17a7163e61279.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Noah Gift joins us to discuss how he believes data science urgency and the end of hierarchies will change the world for the better.</itunes:subtitle>
      <itunes:summary>Noah Gift joins us to discuss how he believes data science urgency and the end of hierarchies will change the world for the better.

In this episode you will learn:

Catch up with Noah [2:50]

Educational options to pursue in data science [13:09]

Outside university education [24:06]

Noah as a prolific author [28:15]

Urgent applications of technology [37:34]

Noah’s income streams color code [48:38]

How to harness our free time to solve big problems [54:13]

Noah’s Coursera course [1:09:12]


Additional materials: www.superdatascience.com/467</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Noah Gift joins us to discuss how he believes data science urgency and the end of hierarchies will change the world for the better.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Catch up with Noah [2:50]</li>
<li>Educational options to pursue in data science [13:09]</li>
<li>Outside university education [24:06]</li>
<li>Noah as a prolific author [28:15]</li>
<li>Urgent applications of technology [37:34]</li>
<li>Noah’s income streams color code [48:38]</li>
<li>How to harness our free time to solve big problems [54:13]</li>
<li>Noah’s Coursera course [1:09:12]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/467">www.superdatascience.com/467</a></p>]]>
      </content:encoded>
      <itunes:duration>4608</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1042242124]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9297843753.mp3?updated=1724228426" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>466: Good vs. Great Data Scientists</title>
      <description>In this episode, I go over what separates a good data scientist from a great one in skills, practices, and approach.

Additional materials: www.superdatascience.com/466</description>
      <pubDate>Fri, 30 Apr 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0b0fd714-1c33-11ef-9765-2bee39c01423/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I go over what separates a good data scientist from a great one in skills, practices, and approach.</itunes:subtitle>
      <itunes:summary>In this episode, I go over what separates a good data scientist from a great one in skills, practices, and approach.

Additional materials: www.superdatascience.com/466</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I go over what separates a good data scientist from a great one in skills, practices, and approach.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/466">www.superdatascience.com/466</a></p>]]>
      </content:encoded>
      <itunes:duration>475</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1038913933]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6231545979.mp3?updated=1724228380" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>465: Analytics for Commercial and Personal Success</title>
      <description>Konrad Kopczynski joins us to discuss how data, tracking, analytics, and key performance indicators can help your professional and personal development.

In this episode you will learn:

What does Konrad do [3:40]

Tools and techniques used in Impakt Advisors [10:35]

Impakt’s unique hiring model [18:53]

How does Impakt manage remote work [21:36]

Konrad’s professional history and daily structure [28:42]

Konrad’s Iron Man triathlon [44:11]

Konrad’s years’ long project on presidential biographies [47:46]


Additional materials: www.superdatascience.com/465</description>
      <pubDate>Tue, 27 Apr 2021 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0b8d3f9c-1c33-11ef-9765-43aca3402c10/image/c17fe6d70e8b3fd21f5b80f649854acc.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Konrad Kopczynski joins us to discuss how data, tracking, analytics, and key performance indicators can help your professional and personal development.</itunes:subtitle>
      <itunes:summary>Konrad Kopczynski joins us to discuss how data, tracking, analytics, and key performance indicators can help your professional and personal development.

In this episode you will learn:

What does Konrad do [3:40]

Tools and techniques used in Impakt Advisors [10:35]

Impakt’s unique hiring model [18:53]

How does Impakt manage remote work [21:36]

Konrad’s professional history and daily structure [28:42]

Konrad’s Iron Man triathlon [44:11]

Konrad’s years’ long project on presidential biographies [47:46]


Additional materials: www.superdatascience.com/465</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Konrad Kopczynski joins us to discuss how data, tracking, analytics, and key performance indicators can help your professional and personal development.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What does Konrad do [3:40]</li>
<li>Tools and techniques used in Impakt Advisors [10:35]</li>
<li>Impakt’s unique hiring model [18:53]</li>
<li>How does Impakt manage remote work [21:36]</li>
<li>Konrad’s professional history and daily structure [28:42]</li>
<li>Konrad’s Iron Man triathlon [44:11]</li>
<li>Konrad’s years’ long project on presidential biographies [47:46]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/465">www.superdatascience.com/465</a></p>]]>
      </content:encoded>
      <itunes:duration>3544</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1037561257]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6127154942.mp3?updated=1724228353" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>464: A.I. vs Machine Learning vs Deep Learning</title>
      <description>In this episode, I tackle three often conflated terms - AI, machine learning, and deep learning - to shine some light on what exactly they are.

Additional materials: www.superdatascience.com/464</description>
      <pubDate>Fri, 23 Apr 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0c1af2a6-1c33-11ef-9765-03e7b580d51b/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I tackle three often conflated terms - AI, machine learning, and deep learning - to shine some light on what exactly they are.</itunes:subtitle>
      <itunes:summary>In this episode, I tackle three often conflated terms - AI, machine learning, and deep learning - to shine some light on what exactly they are.

Additional materials: www.superdatascience.com/464</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I tackle three often conflated terms - AI, machine learning, and deep learning - to shine some light on what exactly they are.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/464">www.superdatascience.com/464</a></p>]]>
      </content:encoded>
      <itunes:duration>434</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1034533876]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4253763579.mp3?updated=1724228302" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>463: Time Series Analysis</title>
      <description>Matt Dancho joins us to discuss his various packages for time series analysis and his courses on the topic through his company Business Science.

In this episode you will learn:

How Matt got into time series library development [4:22]

Business Science [7:00]

R Shiny [9:36]

Matt’s 6 time series models [14:11]

Timetk [15:02]

Modeltime [29:32]

Gluon package [36:04]

Modeltime Ensemble [43:12]

Modeltime H2O [45:22]

Modeltime Resample [48:10]


Additional materials: www.superdatascience.com/463</description>
      <pubDate>Tue, 20 Apr 2021 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0c921426-1c33-11ef-9765-df37bbb92b6f/image/bc76e34012587b0f2284dcd9d024d698.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Matt Dancho joins us to discuss his various packages for time series analysis and his courses on the topic through his company Business Science.</itunes:subtitle>
      <itunes:summary>Matt Dancho joins us to discuss his various packages for time series analysis and his courses on the topic through his company Business Science.

In this episode you will learn:

How Matt got into time series library development [4:22]

Business Science [7:00]

R Shiny [9:36]

Matt’s 6 time series models [14:11]

Timetk [15:02]

Modeltime [29:32]

Gluon package [36:04]

Modeltime Ensemble [43:12]

Modeltime H2O [45:22]

Modeltime Resample [48:10]


Additional materials: www.superdatascience.com/463</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Matt Dancho joins us to discuss his various packages for time series analysis and his courses on the topic through his company Business Science.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>How Matt got into time series library development [4:22]</li>
<li>Business Science [7:00]</li>
<li>R Shiny [9:36]</li>
<li>Matt’s 6 time series models [14:11]</li>
<li>Timetk [15:02]</li>
<li>Modeltime [29:32]</li>
<li>Gluon package [36:04]</li>
<li>Modeltime Ensemble [43:12]</li>
<li>Modeltime H2O [45:22]</li>
<li>Modeltime Resample [48:10]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/463">www.superdatascience.com/463</a></p>]]>
      </content:encoded>
      <itunes:duration>3351</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1033081390]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2565686311.mp3?updated=1724228281" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>462: It Could Be Even Better</title>
      <description>In this episode, I discuss taking a positive approach to the good things that happen in life, rather than focusing on potential negative outcomes.

Additional materials: www.superdatascience.com/462</description>
      <pubDate>Fri, 16 Apr 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0d016600-1c33-11ef-9765-6f40ba149056/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I discuss taking a positive approach to the good things that happen in life, rather than focusing on potential negative outcomes.</itunes:subtitle>
      <itunes:summary>In this episode, I discuss taking a positive approach to the good things that happen in life, rather than focusing on potential negative outcomes.

Additional materials: www.superdatascience.com/462</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I discuss taking a positive approach to the good things that happen in life, rather than focusing on potential negative outcomes.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/462">www.superdatascience.com/462</a></p>]]>
      </content:encoded>
      <itunes:duration>265</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1029896143]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2222362306.mp3?updated=1724228222" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>461: MLOps for Renewable Energy</title>
      <description>Sam Hinton joins us to discuss his work since assisting COVID-19 data pipelines, now working in renewable energy and applications of ML and MLOps for the industry.

In this episode you will learn:

Catching up with Sam [3:05]

Updates on the COVID-19 data pipelines [7:07]

Sam’s current work at Arenko [10:41]

Sam’s stint on Survivor, PhD, and his software engineering background [16:32]

Machine learning in renewable energy [35:23] 

Sam’s day-to-day tools [49:33]

How can listeners utilize MLOps [53:08]

Sam’s forthcoming novel [59:05]


Additional materials: www.superdatascience.com/461</description>
      <pubDate>Wed, 14 Apr 2021 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0db376ec-1c33-11ef-9765-1bca2a994b06/image/72ec13890544e2a688f545861cddb3d8.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Sam Hinton joins us to discuss his work since assisting COVID-19 data pipelines, now working in renewable energy and applications of ML and MLOps for the industry.</itunes:subtitle>
      <itunes:summary>Sam Hinton joins us to discuss his work since assisting COVID-19 data pipelines, now working in renewable energy and applications of ML and MLOps for the industry.

In this episode you will learn:

Catching up with Sam [3:05]

Updates on the COVID-19 data pipelines [7:07]

Sam’s current work at Arenko [10:41]

Sam’s stint on Survivor, PhD, and his software engineering background [16:32]

Machine learning in renewable energy [35:23] 

Sam’s day-to-day tools [49:33]

How can listeners utilize MLOps [53:08]

Sam’s forthcoming novel [59:05]


Additional materials: www.superdatascience.com/461</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Sam Hinton joins us to discuss his work since assisting COVID-19 data pipelines, now working in renewable energy and applications of ML and MLOps for the industry.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Catching up with Sam [3:05]</li>
<li>Updates on the COVID-19 data pipelines [7:07]</li>
<li>Sam’s current work at Arenko [10:41]</li>
<li>Sam’s stint on Survivor, PhD, and his software engineering background [16:32]</li>
<li>Machine learning in renewable energy [35:23] </li>
<li>Sam’s day-to-day tools [49:33]</li>
<li>How can listeners utilize MLOps [53:08]</li>
<li>Sam’s forthcoming novel [59:05]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/461">www.superdatascience.com/461</a></p>]]>
      </content:encoded>
      <itunes:duration>4225</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1029205684]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6319387192.mp3?updated=1724228197" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>460: The History of Algebra</title>
      <description>In this episode, I talk about the ancient history of algebra, an important component of data science today.

Additional materials: www.superdatascience.com/460</description>
      <pubDate>Fri, 09 Apr 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0e2c7c5e-1c33-11ef-9765-5f7b66865679/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I talk about the ancient history of algebra, an important component of data science today.</itunes:subtitle>
      <itunes:summary>In this episode, I talk about the ancient history of algebra, an important component of data science today.

Additional materials: www.superdatascience.com/460</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I talk about the ancient history of algebra, an important component of data science today.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/460">www.superdatascience.com/460</a></p>]]>
      </content:encoded>
      <itunes:duration>664</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1024922086]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8925759608.mp3?updated=1724228140" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>459: Tackling Climate Change with ML</title>
      <description>Vince Petaccio joins us to discuss how he sees data science, ML, and AI making positive impacts in the fight against climate change.

In this episode you will learn:

Where in the world is Vince? [2:08]

Vince’s interest in climate science [4:33]

The Citizen’s Climate Lobby [9:12]

Where data science comes in [13:28]

Risks of relying on tools [31:54]

How can you make an impact? [37:28]


Additional materials: www.superdatascience.com/459</description>
      <pubDate>Wed, 07 Apr 2021 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0fedc49e-1c33-11ef-9765-833ff56ad464/image/8a956beeb3ce0824899da67e5b8bd6eb.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Vince Petaccio joins us to discuss how he sees data science, ML, and AI making positive impacts in the fight against climate change.</itunes:subtitle>
      <itunes:summary>Vince Petaccio joins us to discuss how he sees data science, ML, and AI making positive impacts in the fight against climate change.

In this episode you will learn:

Where in the world is Vince? [2:08]

Vince’s interest in climate science [4:33]

The Citizen’s Climate Lobby [9:12]

Where data science comes in [13:28]

Risks of relying on tools [31:54]

How can you make an impact? [37:28]


Additional materials: www.superdatascience.com/459</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Vince Petaccio joins us to discuss how he sees data science, ML, and AI making positive impacts in the fight against climate change.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Where in the world is Vince? [2:08]</li>
<li>Vince’s interest in climate science [4:33]</li>
<li>The Citizen’s Climate Lobby [9:12]</li>
<li>Where data science comes in [13:28]</li>
<li>Risks of relying on tools [31:54]</li>
<li>How can you make an impact? [37:28]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/459">www.superdatascience.com/459</a></p>]]>
      </content:encoded>
      <itunes:duration>2777</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1023198241]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5150728974.mp3?updated=1724228120" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>458: Behind the Scenes</title>
      <description>In this week’s episode, I take you behind the scenes of our video tutorial productions to see what goes into making our tutorials.

Additional materials: www.superdatascience.com/458</description>
      <pubDate>Fri, 02 Apr 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1062f304-1c33-11ef-9765-03fc6c1a09b6/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this week’s episode, I take you behind the scenes of our video tutorial productions to see what goes into making our tutorials.</itunes:subtitle>
      <itunes:summary>In this week’s episode, I take you behind the scenes of our video tutorial productions to see what goes into making our tutorials.

Additional materials: www.superdatascience.com/458</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this week’s episode, I take you behind the scenes of our video tutorial productions to see what goes into making our tutorials.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/458">www.superdatascience.com/458</a></p>]]>
      </content:encoded>
      <itunes:duration>241</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1020241213]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5504315731.mp3?updated=1724228065" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>457: Landing Your Data Science Dream Job</title>
      <description>Harpreet Sahota joins us to discuss his data science mentorship work outside his day job and how you can land your dream job.

In this episode you will learn:

Harpreet’s current life and location [2:25]

Data Community Content Creator Awards [8:37]

The Artists of Data Science Podcast [14:46]

Data Science Dream Job [24:18]

Harpreet’s day job at Price Industries [30:48]

Coming in data science from a non-data background [40:55]

Tools and skills to know [47:57]


Additional materials: www.superdatascience.com/457</description>
      <pubDate>Thu, 01 Apr 2021 08:03:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/10dc5686-1c33-11ef-9765-5f63834934ca/image/04e3c0df168cb866f3f1e8b7d80922a2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Harpreet Sahota joins us to discuss his data science mentorship work outside his day job and how you can land your dream job.</itunes:subtitle>
      <itunes:summary>Harpreet Sahota joins us to discuss his data science mentorship work outside his day job and how you can land your dream job.

In this episode you will learn:

Harpreet’s current life and location [2:25]

Data Community Content Creator Awards [8:37]

The Artists of Data Science Podcast [14:46]

Data Science Dream Job [24:18]

Harpreet’s day job at Price Industries [30:48]

Coming in data science from a non-data background [40:55]

Tools and skills to know [47:57]


Additional materials: www.superdatascience.com/457</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Harpreet Sahota joins us to discuss his data science mentorship work outside his day job and how you can land your dream job.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Harpreet’s current life and location [2:25]</li>
<li>Data Community Content Creator Awards [8:37]</li>
<li>The Artists of Data Science Podcast [14:46]</li>
<li>Data Science Dream Job [24:18]</li>
<li>Harpreet’s day job at Price Industries [30:48]</li>
<li>Coming in data science from a non-data background [40:55]</li>
<li>Tools and skills to know [47:57]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/457">www.superdatascience.com/457</a></p>]]>
      </content:encoded>
      <itunes:duration>3683</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1018977229]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9600421643.mp3?updated=1724228042" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>456: The Pomodoro Technique</title>
      <description>In this week’s episode, I talk about one of my favorite time management techniques: the Pomodoro technique.

Additional materials: www.superdatascience.com/456</description>
      <pubDate>Fri, 26 Mar 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1155ba4e-1c33-11ef-9765-a76e97c26bb3/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this week’s episode, I talk about one of my favorite time management techniques: the Pomodoro technique.</itunes:subtitle>
      <itunes:summary>In this week’s episode, I talk about one of my favorite time management techniques: the Pomodoro technique.

Additional materials: www.superdatascience.com/456</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this week’s episode, I talk about one of my favorite time management techniques: the Pomodoro technique.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/456">www.superdatascience.com/456</a></p>]]>
      </content:encoded>
      <itunes:duration>411</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1015966105]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6321840248.mp3?updated=1724227990" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>455: Legal Tech, Powered by Machine Learning</title>
      <description>Horace Wu joins us to discuss his work on Syntheia, a unique product that helps sift through massive amounts of legal data to augment the capacities and function of law firms.

In this episode you will learn:

Horace’s life and work in New York City [5:00]

Syntheia and Horace’s role there [6:25]

Horace’s background [12:07]

Nearmap [16:35]

Syntheia NLP use cases [21:46]

Design, coding, and the team [34:19]

What skills does one need for this field? [41:41]

What would Horace do differently and what is he excited for? [46:15]


Additional materials: www.superdatascience.com/455</description>
      <pubDate>Wed, 24 Mar 2021 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/120f8136-1c33-11ef-9765-c746909a6cc9/image/85584fe85471469a1b7f5121ae481fd9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Horace Wu joins us to discuss his work on Syntheia, a unique product that helps sift through massive amounts of legal data to augment the capacities and function of law firms.</itunes:subtitle>
      <itunes:summary>Horace Wu joins us to discuss his work on Syntheia, a unique product that helps sift through massive amounts of legal data to augment the capacities and function of law firms.

In this episode you will learn:

Horace’s life and work in New York City [5:00]

Syntheia and Horace’s role there [6:25]

Horace’s background [12:07]

Nearmap [16:35]

Syntheia NLP use cases [21:46]

Design, coding, and the team [34:19]

What skills does one need for this field? [41:41]

What would Horace do differently and what is he excited for? [46:15]


Additional materials: www.superdatascience.com/455</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Horace Wu joins us to discuss his work on Syntheia, a unique product that helps sift through massive amounts of legal data to augment the capacities and function of law firms.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Horace’s life and work in New York City [5:00]</li>
<li>Syntheia and Horace’s role there [6:25]</li>
<li>Horace’s background [12:07]</li>
<li>Nearmap [16:35]</li>
<li>Syntheia NLP use cases [21:46]</li>
<li>Design, coding, and the team [34:19]</li>
<li>What skills does one need for this field? [41:41]</li>
<li>What would Horace do differently and what is he excited for? [46:15]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/455">www.superdatascience.com/455</a></p>]]>
      </content:encoded>
      <itunes:duration>3501</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1014723835]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4667587313.mp3?updated=1724227959" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>454: The Staggering Pace of Progress Part 2</title>
      <description>In this episode, I continue my discussion about the quick-paced growth of technology and how it impacts different fields.

Additional materials: www.superdatascience.com/454</description>
      <pubDate>Fri, 19 Mar 2021 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/128d81ee-1c33-11ef-9765-8f02ed36086c/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I continue my discussion about the quick-paced growth of technology and how it impacts different fields.</itunes:subtitle>
      <itunes:summary>In this episode, I continue my discussion about the quick-paced growth of technology and how it impacts different fields.

Additional materials: www.superdatascience.com/454</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I continue my discussion about the quick-paced growth of technology and how it impacts different fields.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/454">www.superdatascience.com/454</a></p>]]>
      </content:encoded>
      <itunes:duration>416</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1010308390]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6474342328.mp3?updated=1724227902" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>453: Big Global Problems Worth Solving with Machine Learning</title>
      <description>Stephen Welch joins to go over his year-end 2020 list of 10 important questions and pain points that machine learning can improve.

In this episode you will learn:

Welch Labs on YouTube [4:54]

What Stephen’s been up to [7:56]

Stephen’s 2020 year-end blog post [10:11]

Stephen’s reflections on 10 areas worth focusing on [16:25]


Additional materials: www.superdatascience.com/453</description>
      <pubDate>Wed, 17 Mar 2021 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/130c6ee6-1c33-11ef-9765-ab2472766393/image/dce1cc0315639576b2d7c18c1595f830.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Stephen Welch joins to go over his year-end 2020 list of 10 important questions and pain points that machine learning can improve.</itunes:subtitle>
      <itunes:summary>Stephen Welch joins to go over his year-end 2020 list of 10 important questions and pain points that machine learning can improve.

In this episode you will learn:

Welch Labs on YouTube [4:54]

What Stephen’s been up to [7:56]

Stephen’s 2020 year-end blog post [10:11]

Stephen’s reflections on 10 areas worth focusing on [16:25]


Additional materials: www.superdatascience.com/453</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Stephen Welch joins to go over his year-end 2020 list of 10 important questions and pain points that machine learning can improve.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Welch Labs on YouTube [4:54]</li>
<li>What Stephen’s been up to [7:56]</li>
<li>Stephen’s 2020 year-end blog post [10:11]</li>
<li>Stephen’s reflections on 10 areas worth focusing on [16:25]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/453">www.superdatascience.com/453</a></p>]]>
      </content:encoded>
      <itunes:duration>4915</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1009022902]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9861802301.mp3?updated=1724227882" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>452: The Staggering Pace of Progress</title>
      <description>In this week’s episode, I discuss how technology propelled the recruitment industry forward and continues to do so today.

Additional materials: www.superdatascience.com/452</description>
      <pubDate>Fri, 12 Mar 2021 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/13860260-1c33-11ef-9765-b7faf799ebf4/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this week’s episode, I discuss how technology propelled the recruitment industry forward and continues to do so today.</itunes:subtitle>
      <itunes:summary>In this week’s episode, I discuss how technology propelled the recruitment industry forward and continues to do so today.

Additional materials: www.superdatascience.com/452</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this week’s episode, I discuss how technology propelled the recruitment industry forward and continues to do so today.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/452">www.superdatascience.com/452</a></p>]]>
      </content:encoded>
      <itunes:duration>351</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1004717833]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7089204950.mp3?updated=1724227843" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>451: Translating PhD Research into ML Applications</title>
      <description>Dan Shiebler joins us to discuss his category theory Ph.D. program, his full-time job at Twitter, and how the two crossover and combine in his overall data work.

In this episode you will learn:

Dan’s neuroscience undergrad and MATLAB [4:12]

Dan’s Ph.D. timeline and research [14:01]

How to start a Ph.D. while working full time [22:45]

Dan’s work at TrueMotion and label data [30:39]

Dan’s title and role at Twitter [39:15]

Specific projects at Twitter [44:09]

What skills someone should bring to a Twitter job interview [52:06]

What machine learning approaches will be important in the future? [1:00:38]


Additional materials: www.superdatascience.com/451</description>
      <pubDate>Thu, 11 Mar 2021 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1401e826-1c33-11ef-9765-fb28379969f0/image/2a4a25e3c5ca02adccf0bb3f922fc443.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Dan Shiebler joins us to discuss his category theory Ph.D. program, his full-time job at Twitter, and how the two crossover and combine in his overall data work.</itunes:subtitle>
      <itunes:summary>Dan Shiebler joins us to discuss his category theory Ph.D. program, his full-time job at Twitter, and how the two crossover and combine in his overall data work.

In this episode you will learn:

Dan’s neuroscience undergrad and MATLAB [4:12]

Dan’s Ph.D. timeline and research [14:01]

How to start a Ph.D. while working full time [22:45]

Dan’s work at TrueMotion and label data [30:39]

Dan’s title and role at Twitter [39:15]

Specific projects at Twitter [44:09]

What skills someone should bring to a Twitter job interview [52:06]

What machine learning approaches will be important in the future? [1:00:38]


Additional materials: www.superdatascience.com/451</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Dan Shiebler joins us to discuss his category theory Ph.D. program, his full-time job at Twitter, and how the two crossover and combine in his overall data work.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Dan’s neuroscience undergrad and MATLAB [4:12]</li>
<li>Dan’s Ph.D. timeline and research [14:01]</li>
<li>How to start a Ph.D. while working full time [22:45]</li>
<li>Dan’s work at TrueMotion and label data [30:39]</li>
<li>Dan’s title and role at Twitter [39:15]</li>
<li>Specific projects at Twitter [44:09]</li>
<li>What skills someone should bring to a Twitter job interview [52:06]</li>
<li>What machine learning approaches will be important in the future? [1:00:38]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/451">www.superdatascience.com/451</a></p>]]>
      </content:encoded>
      <itunes:duration>4573</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/1004002438]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8515497627.mp3?updated=1724227820" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>450: Yoga Nidra</title>
      <description>This week, Jon talks with Steve Fazzari about the physical and emotional benefits of practicing Yoga Nidra.

Additional materials: www.superdatascience.com/450</description>
      <pubDate>Fri, 05 Mar 2021 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/14794858-1c33-11ef-9765-2fcb0dd3bfd8/image/25133d0586d2a7ecb235beecef222bd1.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>This week, Jon talks with Steve Fazzari about the physical and emotional benefits of practicing Yoga Nidra.</itunes:subtitle>
      <itunes:summary>This week, Jon talks with Steve Fazzari about the physical and emotional benefits of practicing Yoga Nidra.

Additional materials: www.superdatascience.com/450</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week, Jon talks with Steve Fazzari about the physical and emotional benefits of practicing Yoga Nidra.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/450">www.superdatascience.com/450</a></p>]]>
      </content:encoded>
      <itunes:duration>1805</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/998334508]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9948471136.mp3?updated=1724139564" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>449: Fairness in A.I.</title>
      <description>Ayodele Odubela joins us to discuss fairness in AI and how we can work towards a more equitable and transparent world of data science and machine learning.

In this episode you will learn:

Comet ML [3:22]

What is a data science evangelist? [7:08]

FullyConnected [12:04]

Imposter Syndrome and Ayodele’s book [15:57]

What Ayodele wished she learned from grad school [20:25]

Uncovering Bias in Machine Learning [27:00]

Where can we affect this positive change in fairness? [31:08]

The potential for a rosy future [49:20]

Ayodele’s LinkedIn Learning course [52:24]


Additional materials: www.superdatascience.com/449</description>
      <pubDate>Thu, 04 Mar 2021 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/151fdbfa-1c33-11ef-9765-0fc0ebbbaf15/image/7e73f3df8d1a56553dcc252b806e002e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Ayodele Odubela joins us to discuss fairness in AI and how we can work towards a more equitable and transparent world of data science and machine learning.</itunes:subtitle>
      <itunes:summary>Ayodele Odubela joins us to discuss fairness in AI and how we can work towards a more equitable and transparent world of data science and machine learning.

In this episode you will learn:

Comet ML [3:22]

What is a data science evangelist? [7:08]

FullyConnected [12:04]

Imposter Syndrome and Ayodele’s book [15:57]

What Ayodele wished she learned from grad school [20:25]

Uncovering Bias in Machine Learning [27:00]

Where can we affect this positive change in fairness? [31:08]

The potential for a rosy future [49:20]

Ayodele’s LinkedIn Learning course [52:24]


Additional materials: www.superdatascience.com/449</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Ayodele Odubela joins us to discuss fairness in AI and how we can work towards a more equitable and transparent world of data science and machine learning.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Comet ML [3:22]</li>
<li>What is a data science evangelist? [7:08]</li>
<li>FullyConnected [12:04]</li>
<li>Imposter Syndrome and Ayodele’s book [15:57]</li>
<li>What Ayodele wished she learned from grad school [20:25]</li>
<li>Uncovering Bias in Machine Learning [27:00]</li>
<li>Where can we affect this positive change in fairness? [31:08]</li>
<li>The potential for a rosy future [49:20]</li>
<li>Ayodele’s LinkedIn Learning course [52:24]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/449">www.superdatascience.com/449</a></p>]]>
      </content:encoded>
      <itunes:duration>3573</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/997715164]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1441535003.mp3?updated=1724139534" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>448: How to be a Data Science Leader</title>
      <description>This week, I answer your questions about how to take yourself from data science practitioner to data science leader. 

Additional materials: www.superdatascience.com/448</description>
      <pubDate>Fri, 26 Feb 2021 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/15a3683a-1c33-11ef-9765-0f08f99117e2/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>This week, I answer your questions about how to take yourself from data science practitioner to data science leader. </itunes:subtitle>
      <itunes:summary>This week, I answer your questions about how to take yourself from data science practitioner to data science leader. 

Additional materials: www.superdatascience.com/448</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week, I answer your questions about how to take yourself from data science practitioner to data science leader. </p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/448">www.superdatascience.com/448</a></p>]]>
      </content:encoded>
      <itunes:duration>321</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/992728828]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3766740295.mp3?updated=1724139469" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>447: Commercial ML Opportunities Lie Everywhere</title>
      <description>Michael Segala joins us to discuss how machine learning can provide creative and novel solutions to longstanding problems in both the private and public sectors.

In this episode you will learn:

SFL Scientific [4:20]

SFL’s example work [10:55]

Public sector vs private sector work [20:28]

Michael’s day-to-day [30:18]

What is Michael looking for in the people he hires? [33:38]

Michael’s career journey [41:39]

What is Michael excited about for the future? [48:38]


Additional materials: www.superdatascience.com/447</description>
      <pubDate>Thu, 25 Feb 2021 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/16285be4-1c33-11ef-9765-f7147c85bcf0/image/b025e697d37d6a97db1cc7d90efd124b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Michael Segala joins us to discuss how machine learning can provide creative and novel solutions to longstanding problems in both the private and public sectors.</itunes:subtitle>
      <itunes:summary>Michael Segala joins us to discuss how machine learning can provide creative and novel solutions to longstanding problems in both the private and public sectors.

In this episode you will learn:

SFL Scientific [4:20]

SFL’s example work [10:55]

Public sector vs private sector work [20:28]

Michael’s day-to-day [30:18]

What is Michael looking for in the people he hires? [33:38]

Michael’s career journey [41:39]

What is Michael excited about for the future? [48:38]


Additional materials: www.superdatascience.com/447</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Michael Segala joins us to discuss how machine learning can provide creative and novel solutions to longstanding problems in both the private and public sectors.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>SFL Scientific [4:20]</li>
<li>SFL’s example work [10:55]</li>
<li>Public sector vs private sector work [20:28]</li>
<li>Michael’s day-to-day [30:18]</li>
<li>What is Michael looking for in the people he hires? [33:38]</li>
<li>Michael’s career journey [41:39]</li>
<li>What is Michael excited about for the future? [48:38]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/447">www.superdatascience.com/447</a></p>]]>
      </content:encoded>
      <itunes:duration>3495</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/991127944]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3638096825.mp3?updated=1724139448" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>446: Getting Started in Machine Learning</title>
      <description>This week I answer your questions about machine learning and how to educate yourself further in the field.

Additional materials: www.superdatascience.com/446</description>
      <pubDate>Fri, 19 Feb 2021 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/16a19572-1c33-11ef-9765-3b5859c863e3/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>This week I answer your questions about machine learning and how to educate yourself further in the field.</itunes:subtitle>
      <itunes:summary>This week I answer your questions about machine learning and how to educate yourself further in the field.

Additional materials: www.superdatascience.com/446</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week I answer your questions about machine learning and how to educate yourself further in the field.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/446">www.superdatascience.com/446</a></p>]]>
      </content:encoded>
      <itunes:duration>396</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/987982090]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1634665886.mp3?updated=1724139394" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>445: Conversational A.I.</title>
      <description>Sinan Ozdemir joins us to share his work in conversational AI and what it takes to keep chatbots up to date and functional in an ever-changing world.

In this episode you will learn:

Kylie.ai under Directly [4:51]

Sinan’s day-to-day work and tools [10:45]

Use cases [18:27]

AutoML’s role in these processes [21:55]

What hard or soft skills are needed for this work? [29:32]

Sinan’s background in teaching [34:58]

Sinan’s history in pure math and applied math [39:44]

Sinan’s math tattoos [43:48]


Additional materials: www.superdatascience.com/445</description>
      <pubDate>Thu, 18 Feb 2021 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/173b1940-1c33-11ef-9765-a330b948ece2/image/5809ecdc38c03d417988f8b6052eaa8d.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Sinan Ozdemir joins us to share his work in conversational AI and what it takes to keep chatbots up to date and functional in an ever-changing world.</itunes:subtitle>
      <itunes:summary>Sinan Ozdemir joins us to share his work in conversational AI and what it takes to keep chatbots up to date and functional in an ever-changing world.

In this episode you will learn:

Kylie.ai under Directly [4:51]

Sinan’s day-to-day work and tools [10:45]

Use cases [18:27]

AutoML’s role in these processes [21:55]

What hard or soft skills are needed for this work? [29:32]

Sinan’s background in teaching [34:58]

Sinan’s history in pure math and applied math [39:44]

Sinan’s math tattoos [43:48]


Additional materials: www.superdatascience.com/445</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Sinan Ozdemir joins us to share his work in conversational AI and what it takes to keep chatbots up to date and functional in an ever-changing world.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Kylie.ai under Directly [4:51]</li>
<li>Sinan’s day-to-day work and tools [10:45]</li>
<li>Use cases [18:27]</li>
<li>AutoML’s role in these processes [21:55]</li>
<li>What hard or soft skills are needed for this work? [29:32]</li>
<li>Sinan’s background in teaching [34:58]</li>
<li>Sinan’s history in pure math and applied math [39:44]</li>
<li>Sinan’s math tattoos [43:48]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/445">www.superdatascience.com/445</a></p>]]>
      </content:encoded>
      <itunes:duration>3282</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/987292456]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6617724102.mp3?updated=1724139369" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>444: Future-Proofing Your Career</title>
      <description>In today’s episode, I answer your questions on how to best future-proof your data science career in AI, AutoML, and model interpretability.

Additional materials: www.superdatascience.com/444</description>
      <pubDate>Fri, 12 Feb 2021 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/17c6d5b6-1c33-11ef-9765-fb3ebb9e8ea7/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In today’s episode, I answer your questions on how to best future-proof your data science career in AI, AutoML, and model interpretability.</itunes:subtitle>
      <itunes:summary>In today’s episode, I answer your questions on how to best future-proof your data science career in AI, AutoML, and model interpretability.

Additional materials: www.superdatascience.com/444</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In today’s episode, I answer your questions on how to best future-proof your data science career in AI, AutoML, and model interpretability.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/444">www.superdatascience.com/444</a></p>]]>
      </content:encoded>
      <itunes:duration>341</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/983310382]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2642935242.mp3?updated=1724139315" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>443: The End of Jobs</title>
      <description>Jeff Wald joins us to discuss his book and the research he has done into the data and trends around the job market, the decline of the 9-5 office job, and more.

In this episode you will learn:

The Birthday Rules [3:51]

A history of work [7:41]

The myth of the lifetime contract [12:15]

What the data says about now [21:02]

On-demand labor market [25:34]

Remote work [32:09]

What role will automation play? [46:27]

Future of employment from the study lens [48:30]


Additional materials: www.superdatascience.com/443</description>
      <pubDate>Thu, 11 Feb 2021 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1841d0cc-1c33-11ef-9765-e3eca44dffaf/image/cc4753144cc2404de1c3d021e1b6a31a.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jeff Wald joins us to discuss his book and the research he has done into the data and trends around the job market, the decline of the 9-5 office job, and more.</itunes:subtitle>
      <itunes:summary>Jeff Wald joins us to discuss his book and the research he has done into the data and trends around the job market, the decline of the 9-5 office job, and more.

In this episode you will learn:

The Birthday Rules [3:51]

A history of work [7:41]

The myth of the lifetime contract [12:15]

What the data says about now [21:02]

On-demand labor market [25:34]

Remote work [32:09]

What role will automation play? [46:27]

Future of employment from the study lens [48:30]


Additional materials: www.superdatascience.com/443</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jeff Wald joins us to discuss his book and the research he has done into the data and trends around the job market, the decline of the 9-5 office job, and more.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>The Birthday Rules [3:51]</li>
<li>A history of work [7:41]</li>
<li>The myth of the lifetime contract [12:15]</li>
<li>What the data says about now [21:02]</li>
<li>On-demand labor market [25:34]</li>
<li>Remote work [32:09]</li>
<li>What role will automation play? [46:27]</li>
<li>Future of employment from the study lens [48:30]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/443">www.superdatascience.com/443</a></p>]]>
      </content:encoded>
      <itunes:duration>4027</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/982654261]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3208365829.mp3?updated=1724139289" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>442: Data Science as an Atomic Habit</title>
      <description>In today’s episode, I discuss how focusing on process and habit building can provide more for you and your professional progress than simply chasing a goal.

Additional materials: www.superdatascience.com/442</description>
      <pubDate>Fri, 05 Feb 2021 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/18c2eea0-1c33-11ef-9765-3337b2419466/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In today’s episode, I discuss how focusing on process and habit building can provide more for you and your professional progress than simply chasing a goal.</itunes:subtitle>
      <itunes:summary>In today’s episode, I discuss how focusing on process and habit building can provide more for you and your professional progress than simply chasing a goal.

Additional materials: www.superdatascience.com/442</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In today’s episode, I discuss how focusing on process and habit building can provide more for you and your professional progress than simply chasing a goal.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/442">www.superdatascience.com/442</a></p>]]>
      </content:encoded>
      <itunes:duration>423</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/978814240]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2302872736.mp3?updated=1724139239" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>441: Communicating Data Effectively</title>
      <description>Kate Strachnyi joins us to discuss her work in data visualization education from conferences to published books as well as her tips for visualization best practices.

In this episode you will learn:

What does Kate do (from her children’s perspective) [1:56]

What kind of tools does Kate employ? [5:19]

Kate’s day-to-day [13:03]

DATAcated Conference [16:03]

How do you amass a big LinkedIn following? [20:39]

Kate’s four published books [29:55]

The guidelines to follow to succeed in this field [37:00]

What’s next for Kate? [41:24]


Additional materials: www.superdatascience.com/441</description>
      <pubDate>Thu, 04 Feb 2021 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1936a192-1c33-11ef-9765-db5531d0a9c5/image/07cc3a30991bf6ddbd4986844d98dc7c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Kate Strachnyi joins us to discuss her work in data visualization education from conferences to published books as well as her tips for visualization best practices.</itunes:subtitle>
      <itunes:summary>Kate Strachnyi joins us to discuss her work in data visualization education from conferences to published books as well as her tips for visualization best practices.

In this episode you will learn:

What does Kate do (from her children’s perspective) [1:56]

What kind of tools does Kate employ? [5:19]

Kate’s day-to-day [13:03]

DATAcated Conference [16:03]

How do you amass a big LinkedIn following? [20:39]

Kate’s four published books [29:55]

The guidelines to follow to succeed in this field [37:00]

What’s next for Kate? [41:24]


Additional materials: www.superdatascience.com/441</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Kate Strachnyi joins us to discuss her work in data visualization education from conferences to published books as well as her tips for visualization best practices.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What does Kate do (from her children’s perspective) [1:56]</li>
<li>What kind of tools does Kate employ? [5:19]</li>
<li>Kate’s day-to-day [13:03]</li>
<li>DATAcated Conference [16:03]</li>
<li>How do you amass a big LinkedIn following? [20:39]</li>
<li>Kate’s four published books [29:55]</li>
<li>The guidelines to follow to succeed in this field [37:00]</li>
<li>What’s next for Kate? [41:24]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/441">www.superdatascience.com/441</a></p>]]>
      </content:encoded>
      <itunes:duration>3330</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/978200323]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1444836100.mp3?updated=1724139214" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>440: MuZero: Learning Without Rules</title>
      <description>In this episode, I continue my discussion on the leaps we’re making towards AGI, by looking at MuZero.

Additional materials: www.superdatascience.com/440</description>
      <pubDate>Fri, 29 Jan 2021 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/19a9c348-1c33-11ef-9765-7311f58c8ac9/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I continue my discussion on the leaps we’re making towards AGI, by looking at MuZero.</itunes:subtitle>
      <itunes:summary>In this episode, I continue my discussion on the leaps we’re making towards AGI, by looking at MuZero.

Additional materials: www.superdatascience.com/440</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I continue my discussion on the leaps we’re making towards AGI, by looking at MuZero.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/440">www.superdatascience.com/440</a></p>]]>
      </content:encoded>
      <itunes:duration>317</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/974288962]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9381073786.mp3?updated=1724139152" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>439: Deep Learning for Machine Vision</title>
      <description>Deblina Bhattacharjee joins us to talk about her amazing work in computer vision and give advice for getting into and excelling in the field.

In this episode you will learn:

Deblina’s master’s program work [4:03]

Deblina’s computer vision research and Ph.D. [11:46]

Deblina’s drumming hobby [20:18]

The daily work [24:40]

What key skills do you need as a data scientist? [33:21]

How can a data scientist prepare for the future? [37:03]

How does Deblina tackle time management? [40:24]


Additional materials: www.superdatascience.com/439</description>
      <pubDate>Thu, 28 Jan 2021 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1a2421ec-1c33-11ef-9765-ff6479de4d51/image/2dd390832210b45854b9d637c03bbf2d.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Deblina Bhattacharjee joins us to talk about her amazing work in computer vision and give advice for getting into and excelling in the field.</itunes:subtitle>
      <itunes:summary>Deblina Bhattacharjee joins us to talk about her amazing work in computer vision and give advice for getting into and excelling in the field.

In this episode you will learn:

Deblina’s master’s program work [4:03]

Deblina’s computer vision research and Ph.D. [11:46]

Deblina’s drumming hobby [20:18]

The daily work [24:40]

What key skills do you need as a data scientist? [33:21]

How can a data scientist prepare for the future? [37:03]

How does Deblina tackle time management? [40:24]


Additional materials: www.superdatascience.com/439</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Deblina Bhattacharjee joins us to talk about her amazing work in computer vision and give advice for getting into and excelling in the field.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Deblina’s master’s program work [4:03]</li>
<li>Deblina’s computer vision research and Ph.D. [11:46]</li>
<li>Deblina’s drumming hobby [20:18]</li>
<li>The daily work [24:40]</li>
<li>What key skills do you need as a data scientist? [33:21]</li>
<li>How can a data scientist prepare for the future? [37:03]</li>
<li>How does Deblina tackle time management? [40:24]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/439">www.superdatascience.com/439</a></p>]]>
      </content:encoded>
      <itunes:duration>2912</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/973651576]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5604239293.mp3?updated=1724139129" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>438: Artificial General Intelligence</title>
      <description>In this episode, I discuss DeepMind’s latest breakthrough towards AGI and the stepping stones that got them there.

Additional materials: www.superdatascience.com/438</description>
      <pubDate>Fri, 22 Jan 2021 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1a948d42-1c33-11ef-9765-a375e190a2f3/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I discuss DeepMind’s latest breakthrough towards AGI and the stepping stones that got them there.</itunes:subtitle>
      <itunes:summary>In this episode, I discuss DeepMind’s latest breakthrough towards AGI and the stepping stones that got them there.

Additional materials: www.superdatascience.com/438</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I discuss DeepMind’s latest breakthrough towards AGI and the stepping stones that got them there.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/438">www.superdatascience.com/438</a></p>]]>
      </content:encoded>
      <itunes:duration>375</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/969739567]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8769547965.mp3?updated=1724139081" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>437: Data Science at a World-Leading Hedge Fund</title>
      <description>Claudia Perlich joins us to discuss her work at one of the world’s largest hedge funds and how she got to work there, as well as her history of winning data science competitions.

In this episode you will learn:

Life and work during the pandemic [2:23]

Claudia’s history with horses and riding [8:28]

Claudia’s work at Two Sigma [12:00]

Claudia’s role on a daily basis [20:51]

Tools of the trade [30:27]

What Claudia looks for when hiring [36:37]

What skills do future hires need? [40:32]

Claudia’s history with data science competitions [48:22]

Why work in finance and at Two Sigma? [1:00:19]


Additional materials: www.superdatascience.com/437</description>
      <pubDate>Wed, 20 Jan 2021 23:59:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1b14513a-1c33-11ef-9765-0bbccd8a2e30/image/bcfea5289831ef0245d1d480ce14dfe8.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Claudia Perlich joins us to discuss her work at one of the world’s largest hedge funds and how she got to work there, as well as her history of winning data science competitions.</itunes:subtitle>
      <itunes:summary>Claudia Perlich joins us to discuss her work at one of the world’s largest hedge funds and how she got to work there, as well as her history of winning data science competitions.

In this episode you will learn:

Life and work during the pandemic [2:23]

Claudia’s history with horses and riding [8:28]

Claudia’s work at Two Sigma [12:00]

Claudia’s role on a daily basis [20:51]

Tools of the trade [30:27]

What Claudia looks for when hiring [36:37]

What skills do future hires need? [40:32]

Claudia’s history with data science competitions [48:22]

Why work in finance and at Two Sigma? [1:00:19]


Additional materials: www.superdatascience.com/437</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Claudia Perlich joins us to discuss her work at one of the world’s largest hedge funds and how she got to work there, as well as her history of winning data science competitions.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Life and work during the pandemic [2:23]</li>
<li>Claudia’s history with horses and riding [8:28]</li>
<li>Claudia’s work at Two Sigma [12:00]</li>
<li>Claudia’s role on a daily basis [20:51]</li>
<li>Tools of the trade [30:27]</li>
<li>What Claudia looks for when hiring [36:37]</li>
<li>What skills do future hires need? [40:32]</li>
<li>Claudia’s history with data science competitions [48:22]</li>
<li>Why work in finance and at Two Sigma? [1:00:19]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/437">www.superdatascience.com/437</a></p>]]>
      </content:encoded>
      <itunes:duration>4439</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/969138508]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9506157775.mp3?updated=1724139059" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>436: Attention Sharpening Tools Part 2</title>
      <description>In this episode, I continue my discussion on daily mindfulness practice and how to form a growing habit in it.

Additional materials: www.superdatascience.com/436</description>
      <pubDate>Fri, 15 Jan 2021 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1b8a7860-1c33-11ef-9765-ab53fbcb31c7/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I continue my discussion on daily mindfulness practice and how to form a growing habit in it.</itunes:subtitle>
      <itunes:summary>In this episode, I continue my discussion on daily mindfulness practice and how to form a growing habit in it.

Additional materials: www.superdatascience.com/436</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I continue my discussion on daily mindfulness practice and how to form a growing habit in it.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/436">www.superdatascience.com/436</a></p>]]>
      </content:encoded>
      <itunes:duration>426</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/965347591]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8843088230.mp3?updated=1724138986" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>435: Scaling Up Machine Learning</title>
      <description>Erica Greene joins us to discuss her work as a machine learning manager at Etsy, how they tackle problem-solving, how they implement ML scaling, and more.

In this episode you will learn:

Erica’s role at Etsy and problem solving between platforms [2:28]

Interesting failures Erica has navigated [25:40]

How does Erica’s team select problems to solve [33:07]

Engineering at scale [40:15]

What does Erica’s working day look like? [46:30]

Etsy is hiring [53:00]

Diversity in hiring [57:12]

Do data scientists need PhDs? [1:01:26]


Additional materials: www.superdatascience.com/435</description>
      <pubDate>Thu, 14 Jan 2021 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1c074c82-1c33-11ef-9765-5b706e88da9a/image/a6f73bdfb191a37fe591b0b550c87fd4.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Erica Greene joins us to discuss her work as a machine learning manager at Etsy, how they tackle problem-solving, how they implement ML scaling, and more.</itunes:subtitle>
      <itunes:summary>Erica Greene joins us to discuss her work as a machine learning manager at Etsy, how they tackle problem-solving, how they implement ML scaling, and more.

In this episode you will learn:

Erica’s role at Etsy and problem solving between platforms [2:28]

Interesting failures Erica has navigated [25:40]

How does Erica’s team select problems to solve [33:07]

Engineering at scale [40:15]

What does Erica’s working day look like? [46:30]

Etsy is hiring [53:00]

Diversity in hiring [57:12]

Do data scientists need PhDs? [1:01:26]


Additional materials: www.superdatascience.com/435</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Erica Greene joins us to discuss her work as a machine learning manager at Etsy, how they tackle problem-solving, how they implement ML scaling, and more.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Erica’s role at Etsy and problem solving between platforms [2:28]</li>
<li>Interesting failures Erica has navigated [25:40]</li>
<li>How does Erica’s team select problems to solve [33:07]</li>
<li>Engineering at scale [40:15]</li>
<li>What does Erica’s working day look like? [46:30]</li>
<li>Etsy is hiring [53:00]</li>
<li>Diversity in hiring [57:12]</li>
<li>Do data scientists need PhDs? [1:01:26]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/435">www.superdatascience.com/435</a></p>]]>
      </content:encoded>
      <itunes:duration>4198</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/964713232]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2204493273.mp3?updated=1724138971" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>434: Attention Sharpening Tools Part 1</title>
      <description>In this episode, I discuss my use of mindfulness and attention sharpening tools to boost my productivity throughout the day.

Additional materials: www.superdatascience.com/434</description>
      <pubDate>Fri, 08 Jan 2021 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1c8b86a0-1c33-11ef-9765-9bf5f017c5dd/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I discuss my use of mindfulness and attention sharpening tools to boost my productivity throughout the day.</itunes:subtitle>
      <itunes:summary>In this episode, I discuss my use of mindfulness and attention sharpening tools to boost my productivity throughout the day.

Additional materials: www.superdatascience.com/434</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I discuss my use of mindfulness and attention sharpening tools to boost my productivity throughout the day.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/434">www.superdatascience.com/434</a></p>]]>
      </content:encoded>
      <itunes:duration>377</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/960846841]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7214664284.mp3?updated=1724138910" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>433: Data Science Trends for 2021</title>
      <description>Ben Taylor joins us for the fourth time to discuss the upcoming 2021 trends in the world of data science as well as the post-COVID world.

In this episode you will learn:

Ben’s passion for AI [9:41]

Delivering results and KPIs [12:43]

DataRobot and AutoML [20:38]

Transparent storytelling [24:29]

Federated learning [31:37]

ML productionization [37:01]

AI ethics [46:01]

Emerging software packages/tools [54:39]

Remote work [1:02:44]


Additional materials: www.superdatascience.com/433</description>
      <pubDate>Thu, 07 Jan 2021 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1d3e6c7a-1c33-11ef-9765-db13cb0eb648/image/fd3d938c7de1e2190f15f375be7e7795.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Ben Taylor joins us for the fourth time to discuss the upcoming 2021 trends in the world of data science as well as the post-COVID world.</itunes:subtitle>
      <itunes:summary>Ben Taylor joins us for the fourth time to discuss the upcoming 2021 trends in the world of data science as well as the post-COVID world.

In this episode you will learn:

Ben’s passion for AI [9:41]

Delivering results and KPIs [12:43]

DataRobot and AutoML [20:38]

Transparent storytelling [24:29]

Federated learning [31:37]

ML productionization [37:01]

AI ethics [46:01]

Emerging software packages/tools [54:39]

Remote work [1:02:44]


Additional materials: www.superdatascience.com/433</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Ben Taylor joins us for the fourth time to discuss the upcoming 2021 trends in the world of data science as well as the post-COVID world.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Ben’s passion for AI [9:41]</li>
<li>Delivering results and KPIs [12:43]</li>
<li>DataRobot and AutoML [20:38]</li>
<li>Transparent storytelling [24:29]</li>
<li>Federated learning [31:37]</li>
<li>ML productionization [37:01]</li>
<li>AI ethics [46:01]</li>
<li>Emerging software packages/tools [54:39]</li>
<li>Remote work [1:02:44]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/433">www.superdatascience.com/433</a></p>]]>
      </content:encoded>
      <itunes:duration>4655</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/960294154]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6636833616.mp3?updated=1724138886" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>432: Hello from Jon and Welcome to 2021</title>
      <description>In this episode, I introduce myself, Jon Krohn, as the new host of the SuperDataScience podcast and give you a taste of what to look forward to in 2021!

Additional materials: www.superdatascience.com/432</description>
      <pubDate>Fri, 01 Jan 2021 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1dbdde9c-1c33-11ef-9765-dbc28188e140/image/b06ec1e614a5d0c8de5a2ad497e6364c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I introduce myself, Jon Krohn, as the new host of the SuperDataScience podcast and give you a taste of what to look forward to in 2021!</itunes:subtitle>
      <itunes:summary>In this episode, I introduce myself, Jon Krohn, as the new host of the SuperDataScience podcast and give you a taste of what to look forward to in 2021!

Additional materials: www.superdatascience.com/432</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I introduce myself, Jon Krohn, as the new host of the SuperDataScience podcast and give you a taste of what to look forward to in 2021!</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/432">www.superdatascience.com/432</a></p>]]>
      </content:encoded>
      <itunes:duration>265</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/957038050]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8872410017.mp3?updated=1724138822" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>431: One-on-one with Kirill: What I learned in 2020</title>
      <description>In this final episode featuring Kirill as the host, he examines and presents his top 7 learnings from this unprecedented year.

In this episode you will learn:

Backpain and standing desks [5:41] 

The internal conflict model [14:33] 

What acceptance really means [38:32] 

Intellect and Intelligence [58:10] 

Needs vs. wants/desires/wishes [1:08:00] 

Intention vs effect [1:25:51] 

Do not take things personally [1:46:12] 


Additional materials: www.superdatascience.com/431</description>
      <pubDate>Thu, 31 Dec 2020 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1e34e4b0-1c33-11ef-9765-8f0776e8929c/image/12b0275424086822785acae1ef1782fd.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this final episode featuring Kirill as the host, he examines and presents his top 7 learnings from this unprecedented year.</itunes:subtitle>
      <itunes:summary>In this final episode featuring Kirill as the host, he examines and presents his top 7 learnings from this unprecedented year.

In this episode you will learn:

Backpain and standing desks [5:41] 

The internal conflict model [14:33] 

What acceptance really means [38:32] 

Intellect and Intelligence [58:10] 

Needs vs. wants/desires/wishes [1:08:00] 

Intention vs effect [1:25:51] 

Do not take things personally [1:46:12] 


Additional materials: www.superdatascience.com/431</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this final episode featuring Kirill as the host, he examines and presents his top 7 learnings from this unprecedented year.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Backpain and standing desks [5:41] </li>
<li>The internal conflict model [14:33] </li>
<li>What acceptance really means [38:32] </li>
<li>Intellect and Intelligence [58:10] </li>
<li>Needs vs. wants/desires/wishes [1:08:00] </li>
<li>Intention vs effect [1:25:51] </li>
<li>Do not take things personally [1:46:12] </li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/431">www.superdatascience.com/431</a></p>]]>
      </content:encoded>
      <itunes:duration>7160</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/956511586]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1384998057.mp3?updated=1724138795" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>430: Intellect and Intelligence</title>
      <description>In this episode, I talk about the reasoning behind my decision to step down as the host of the SDS podcast.

Additional materials: www.superdatascience.com/430</description>
      <pubDate>Fri, 25 Dec 2020 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1ef6c51c-1c33-11ef-9765-03c722ff277f/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I talk about the reasoning behind my decision to step down as the host of the SDS podcast.</itunes:subtitle>
      <itunes:summary>In this episode, I talk about the reasoning behind my decision to step down as the host of the SDS podcast.

Additional materials: www.superdatascience.com/430</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I talk about the reasoning behind my decision to step down as the host of the SDS podcast.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/430">www.superdatascience.com/430</a></p>]]>
      </content:encoded>
      <itunes:duration>923</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/953401747]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9921878601.mp3?updated=1724138729" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>429: 2020's Biggest Data Science Breakthroughs</title>
      <description>Jon Krohn joins us for a year-end episode about 2020’s biggest data science breakthroughs and for a big podcast announcement for 2021.

In this episode you will learn:

Global warming [4:37]

Our big podcast announcement [6:57]

Who is Jon Krohn? [12:14]

Top 3 technological breakthroughs of the year [21:28]

AlphaFold [23:33]• GPUs [45:51]

GPT-3 [1:00:26]

Wrap up [1:26:40]


Additional materials: www.superdatascience.com/429</description>
      <pubDate>Thu, 24 Dec 2020 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1f97397a-1c33-11ef-9765-336be2cbad8e/image/c0a15b02ff320472b3612156d40c79a6.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn joins us for a year-end episode about 2020’s biggest data science breakthroughs and for a big podcast announcement for 2021.</itunes:subtitle>
      <itunes:summary>Jon Krohn joins us for a year-end episode about 2020’s biggest data science breakthroughs and for a big podcast announcement for 2021.

In this episode you will learn:

Global warming [4:37]

Our big podcast announcement [6:57]

Who is Jon Krohn? [12:14]

Top 3 technological breakthroughs of the year [21:28]

AlphaFold [23:33]• GPUs [45:51]

GPT-3 [1:00:26]

Wrap up [1:26:40]


Additional materials: www.superdatascience.com/429</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn joins us for a year-end episode about 2020’s biggest data science breakthroughs and for a big podcast announcement for 2021.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Global warming [4:37]</li>
<li>Our big podcast announcement [6:57]</li>
<li>Who is Jon Krohn? [12:14]</li>
<li>Top 3 technological breakthroughs of the year [21:28]</li>
<li>AlphaFold [23:33]• GPUs [45:51]</li>
<li>GPT-3 [1:00:26]</li>
<li>Wrap up [1:26:40]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/429">www.superdatascience.com/429</a></p>]]>
      </content:encoded>
      <itunes:duration>5471</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/952785466]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7191524022.mp3?updated=1724138700" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>428: The Internal Conflict Model</title>
      <description>In this episode, I talk about a very interesting concept around expectations and reality, and how the gap between the two might be affecting us. 

Additional materials: www.superdatascience.com/428</description>
      <pubDate>Fri, 18 Dec 2020 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/200ff630-1c33-11ef-9765-434aebde2de9/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I talk about a very interesting concept around expectations and reality, and how the gap between the two might be affecting us. </itunes:subtitle>
      <itunes:summary>In this episode, I talk about a very interesting concept around expectations and reality, and how the gap between the two might be affecting us. 

Additional materials: www.superdatascience.com/428</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I talk about a very interesting concept around expectations and reality, and how the gap between the two might be affecting us. </p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/428">www.superdatascience.com/428</a></p>]]>
      </content:encoded>
      <itunes:duration>1976</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/949975450]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3944053714.mp3?updated=1724138640" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>427: Impacting Through Technology</title>
      <description>Syafri Bahar joins us for a great conversation about his work at GOJEK, a decacorn super app bringing services to Indonesia, and his philosophy of empowered data science teams.

In this episode you will learn:

Syafri’s day job at GOJEK [11:26]

What is a super app? [14:50]

The data science department at GOJEK [19:47]

High-performance data science team [31:17]

Syafri’s career journey and love of math [39:49]

Apply to work at GOJEK [55:42]

Working for the benefit of others [1:00:21]


Additional materials: www.superdatascience.com/427</description>
      <pubDate>Thu, 17 Dec 2020 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/20987dfc-1c33-11ef-9765-7f6eaf494328/image/5ceb582ad7df80793a80ee2775eed656.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Syafri Bahar joins us for a great conversation about his work at GOJEK, a decacorn super app bringing services to Indonesia, and his philosophy of empowered data science teams.</itunes:subtitle>
      <itunes:summary>Syafri Bahar joins us for a great conversation about his work at GOJEK, a decacorn super app bringing services to Indonesia, and his philosophy of empowered data science teams.

In this episode you will learn:

Syafri’s day job at GOJEK [11:26]

What is a super app? [14:50]

The data science department at GOJEK [19:47]

High-performance data science team [31:17]

Syafri’s career journey and love of math [39:49]

Apply to work at GOJEK [55:42]

Working for the benefit of others [1:00:21]


Additional materials: www.superdatascience.com/427</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Syafri Bahar joins us for a great conversation about his work at GOJEK, a decacorn super app bringing services to Indonesia, and his philosophy of empowered data science teams.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Syafri’s day job at GOJEK [11:26]</li>
<li>What is a super app? [14:50]</li>
<li>The data science department at GOJEK [19:47]</li>
<li>High-performance data science team [31:17]</li>
<li>Syafri’s career journey and love of math [39:49]</li>
<li>Apply to work at GOJEK [55:42]</li>
<li>Working for the benefit of others [1:00:21]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/427">www.superdatascience.com/427</a></p>]]>
      </content:encoded>
      <itunes:duration>4326</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/948469786]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2971575087.mp3?updated=1724138615" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>426: The Shift: From Ambition to Meaning</title>
      <description>In this episode, I talk about something profoundly important for me this year in shifting away from ego-driven ambition towards non-materialistic meaning in your life and work.

Additional materials: www.superdatascience.com/426</description>
      <pubDate>Fri, 11 Dec 2020 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2139df94-1c33-11ef-9765-e3451beb5863/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I talk about something profoundly important for me this year in shifting away from ego-driven ambition towards non-materialistic meaning in your life and work.</itunes:subtitle>
      <itunes:summary>In this episode, I talk about something profoundly important for me this year in shifting away from ego-driven ambition towards non-materialistic meaning in your life and work.

Additional materials: www.superdatascience.com/426</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I talk about something profoundly important for me this year in shifting away from ego-driven ambition towards non-materialistic meaning in your life and work.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/426">www.superdatascience.com/426</a></p>]]>
      </content:encoded>
      <itunes:duration>1034</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/945483298]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2992672290.mp3?updated=1724138568" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>425: The Past, Present, and Future of AI Services</title>
      <description>Rama Akkiraju joins us to discuss the past, present, and future of AI services and how companies and data scientists can best prepare themselves to become AI consumers.

In this episode you will learn:

23 years at IBM, before and after data science [6:11]

IBM Watson and AI services [12:25]

Skills to utilize AI services [25:02]

How to achieve significant ROI on AI deployment [41:31]

What does the AI future look like to Rama? [52:41]

Ethics and the benefits of AI [1:04:37]


Additional materials: www.superdatascience.com/425</description>
      <pubDate>Thu, 10 Dec 2020 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/21ae3150-1c33-11ef-9765-eb956d6cb21e/image/a29efe89e213e2b98496121fd1d1b7b8.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Rama Akkiraju joins us to discuss the past, present, and future of AI services and how companies and data scientists can best prepare themselves to become AI consumers.</itunes:subtitle>
      <itunes:summary>Rama Akkiraju joins us to discuss the past, present, and future of AI services and how companies and data scientists can best prepare themselves to become AI consumers.

In this episode you will learn:

23 years at IBM, before and after data science [6:11]

IBM Watson and AI services [12:25]

Skills to utilize AI services [25:02]

How to achieve significant ROI on AI deployment [41:31]

What does the AI future look like to Rama? [52:41]

Ethics and the benefits of AI [1:04:37]


Additional materials: www.superdatascience.com/425</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Rama Akkiraju joins us to discuss the past, present, and future of AI services and how companies and data scientists can best prepare themselves to become AI consumers.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>23 years at IBM, before and after data science [6:11]</li>
<li>IBM Watson and AI services [12:25]</li>
<li>Skills to utilize AI services [25:02]</li>
<li>How to achieve significant ROI on AI deployment [41:31]</li>
<li>What does the AI future look like to Rama? [52:41]</li>
<li>Ethics and the benefits of AI [1:04:37]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/425">www.superdatascience.com/425</a></p>]]>
      </content:encoded>
      <itunes:duration>4456</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/944182429]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1989742185.mp3?updated=1724138538" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>424: A Symbiotic Relationship With AI</title>
      <description>In this episode, we talk about how businesses can maximize their relationship with AI to ensure visible ROI and progress of industries.

Additional materials: www.superdatascience.com/424</description>
      <pubDate>Fri, 04 Dec 2020 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/22246b4a-1c33-11ef-9765-b3e17148f8ba/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, we talk about how businesses can maximize their relationship with AI to ensure visible ROI and progress of industries.</itunes:subtitle>
      <itunes:summary>In this episode, we talk about how businesses can maximize their relationship with AI to ensure visible ROI and progress of industries.

Additional materials: www.superdatascience.com/424</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, we talk about how businesses can maximize their relationship with AI to ensure visible ROI and progress of industries.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/424">www.superdatascience.com/424</a></p>]]>
      </content:encoded>
      <itunes:duration>557</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/941217682]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9759021356.mp3?updated=1724138475" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>423: The Growth and Future of STEM in Africa</title>
      <description>Amanda Obidike joined us for a great discussion about her work in Nigeria and the African continent in empowering and enabling STEM education and job placement.

In this episode you will learn:

Life in Lagos, Nigeria [5:22]

Amanda’s journey to data science [7:28]

Case studies and example projects [13:00]

STEM skills and the start of STEMi [19:41]

What are the issues STEMi is addressing? [24:48]

Get involved in STEMi’s mentoring project [30:12]

STEMi’s results so far [36:02]

Amanda’s best tips for landing jobs [39:04]

Work in promoting education and literacy [45:19]

The progress of STEM in Africa [47:34]


Additional materials: www.superdatascience.com/423</description>
      <pubDate>Thu, 03 Dec 2020 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2295a8dc-1c33-11ef-9765-f3b39b69728c/image/80e665735fb9ea11be52943ca7ec9b59.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Amanda Obidike joined us for a great discussion about her work in Nigeria and the African continent in empowering and enabling STEM education and job placement.</itunes:subtitle>
      <itunes:summary>Amanda Obidike joined us for a great discussion about her work in Nigeria and the African continent in empowering and enabling STEM education and job placement.

In this episode you will learn:

Life in Lagos, Nigeria [5:22]

Amanda’s journey to data science [7:28]

Case studies and example projects [13:00]

STEM skills and the start of STEMi [19:41]

What are the issues STEMi is addressing? [24:48]

Get involved in STEMi’s mentoring project [30:12]

STEMi’s results so far [36:02]

Amanda’s best tips for landing jobs [39:04]

Work in promoting education and literacy [45:19]

The progress of STEM in Africa [47:34]


Additional materials: www.superdatascience.com/423</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Amanda Obidike joined us for a great discussion about her work in Nigeria and the African continent in empowering and enabling STEM education and job placement.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Life in Lagos, Nigeria [5:22]</li>
<li>Amanda’s journey to data science [7:28]</li>
<li>Case studies and example projects [13:00]</li>
<li>STEM skills and the start of STEMi [19:41]</li>
<li>What are the issues STEMi is addressing? [24:48]</li>
<li>Get involved in STEMi’s mentoring project [30:12]</li>
<li>STEMi’s results so far [36:02]</li>
<li>Amanda’s best tips for landing jobs [39:04]</li>
<li>Work in promoting education and literacy [45:19]</li>
<li>The progress of STEM in Africa [47:34]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/423">www.superdatascience.com/423</a></p>]]>
      </content:encoded>
      <itunes:duration>3614</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/939860944]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9182414277.mp3?updated=1724138433" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>422: Pain Vs. Suffering</title>
      <description>In this episode, I talk about the difference between pain and suffering and the importance of becoming aware of it. 

Additional materials: www.superdatascience.com/422</description>
      <pubDate>Fri, 27 Nov 2020 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/242ad794-1c33-11ef-9765-b7a46094ddfd/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I talk about the difference between pain and suffering and the importance of becoming aware of it. </itunes:subtitle>
      <itunes:summary>In this episode, I talk about the difference between pain and suffering and the importance of becoming aware of it. 

Additional materials: www.superdatascience.com/422</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I talk about the difference between pain and suffering and the importance of becoming aware of it. </p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/422">www.superdatascience.com/422</a></p>]]>
      </content:encoded>
      <itunes:duration>624</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/936963055]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4944628673.mp3?updated=1724138367" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>421: Real-World Applications of Digital Twins</title>
      <description>Theunis Barnard joins us for a great conversation about digital twins and how data scientists can learn about the technology and get involved with its applications.

In this episode you will learn:

Data science in South Africa [6:08]

Theunis’s current companies [11:32]

Industry 4.0 [13:59]

Digital twins [22:37]

Theunis’s day-to-day [38:54]

Further examples of digital twins [42:26]

Future of digital twins [48:02]

Theunis’s advice for data science newcomers [57:17]

Process digital twins vs. system digital twins [59:42]


Additional materials: www.superdatascience.com/421</description>
      <pubDate>Thu, 26 Nov 2020 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/25c8982a-1c33-11ef-9765-4b562ca6ba19/image/0fe224f453eb3322c888d3a5238f5954.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Theunis Barnard joins us for a great conversation about digital twins and how data scientists can learn about the technology and get involved with its applications.</itunes:subtitle>
      <itunes:summary>Theunis Barnard joins us for a great conversation about digital twins and how data scientists can learn about the technology and get involved with its applications.

In this episode you will learn:

Data science in South Africa [6:08]

Theunis’s current companies [11:32]

Industry 4.0 [13:59]

Digital twins [22:37]

Theunis’s day-to-day [38:54]

Further examples of digital twins [42:26]

Future of digital twins [48:02]

Theunis’s advice for data science newcomers [57:17]

Process digital twins vs. system digital twins [59:42]


Additional materials: www.superdatascience.com/421</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Theunis Barnard joins us for a great conversation about digital twins and how data scientists can learn about the technology and get involved with its applications.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Data science in South Africa [6:08]</li>
<li>Theunis’s current companies [11:32]</li>
<li>Industry 4.0 [13:59]</li>
<li>Digital twins [22:37]</li>
<li>Theunis’s day-to-day [38:54]</li>
<li>Further examples of digital twins [42:26]</li>
<li>Future of digital twins [48:02]</li>
<li>Theunis’s advice for data science newcomers [57:17]</li>
<li>Process digital twins vs. system digital twins [59:42]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/421">www.superdatascience.com/421</a></p>]]>
      </content:encoded>
      <itunes:duration>3983</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/935728210]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5364161190.mp3?updated=1724138339" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>420: Wheel of Life</title>
      <description>In this episode, we do an exercise using the wheel of life to examine your time management and understand how balanced your life currently is.

Additional materials: www.superdatascience.com/420</description>
      <pubDate>Fri, 20 Nov 2020 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/26575e5c-1c33-11ef-9765-93971cb09076/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, we do an exercise using the wheel of life to examine your time management and understand how balanced your life currently is.</itunes:subtitle>
      <itunes:summary>In this episode, we do an exercise using the wheel of life to examine your time management and understand how balanced your life currently is.

Additional materials: www.superdatascience.com/420</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, we do an exercise using the wheel of life to examine your time management and understand how balanced your life currently is.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/420">www.superdatascience.com/420</a></p>]]>
      </content:encoded>
      <itunes:duration>544</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/932737711]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7545234987.mp3?updated=1724051901" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>419: Unlocking the Architecture of Innovation</title>
      <description>Juval Löwy joins us for an exceptional episode that condenses much of his masterclass teachings into a powerful hour of information about the right approach to designing systems as well as projects. 

In this episode you will learn:

Career planning [7:24]

Consequences of designing against requirements [8:57]

The framework of a good system design [30:32]

The right approach to project design [44:00]

Juval’s book [1:02:31]

The progress and future [1:03:48]


Additional materials: www.superdatascience.com/419</description>
      <pubDate>Thu, 19 Nov 2020 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/26f58550-1c33-11ef-9765-8f7b1d5c21ba/image/7224734bb441aa3bde51ad5bf1325ba0.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Juval Löwy joins us for an exceptional episode that condenses much of his masterclass teachings into a powerful hour of information about the right approach to designing systems as well as projects. </itunes:subtitle>
      <itunes:summary>Juval Löwy joins us for an exceptional episode that condenses much of his masterclass teachings into a powerful hour of information about the right approach to designing systems as well as projects. 

In this episode you will learn:

Career planning [7:24]

Consequences of designing against requirements [8:57]

The framework of a good system design [30:32]

The right approach to project design [44:00]

Juval’s book [1:02:31]

The progress and future [1:03:48]


Additional materials: www.superdatascience.com/419</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Juval Löwy joins us for an exceptional episode that condenses much of his masterclass teachings into a powerful hour of information about the right approach to designing systems as well as projects. </p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Career planning [7:24]</li>
<li>Consequences of designing against requirements [8:57]</li>
<li>The framework of a good system design [30:32]</li>
<li>The right approach to project design [44:00]</li>
<li>Juval’s book [1:02:31]</li>
<li>The progress and future [1:03:48]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/419">www.superdatascience.com/419</a></p>]]>
      </content:encoded>
      <itunes:duration>4321</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/931403527]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9147537523.mp3?updated=1724051881" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>418: Play With Feeling</title>
      <description>In this episode, I discuss a very interesting quote by Beethoven about the importance of giving space to feelings, even if that means making a mistake.

Additional materials: www.superdatascience.com/418</description>
      <pubDate>Fri, 13 Nov 2020 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/27737b04-1c33-11ef-9765-bf5d6eea1dc0/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I discuss a very interesting quote by Beethoven about the importance of giving space to feelings, even if that means making a mistake.</itunes:subtitle>
      <itunes:summary>In this episode, I discuss a very interesting quote by Beethoven about the importance of giving space to feelings, even if that means making a mistake.

Additional materials: www.superdatascience.com/418</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I discuss a very interesting quote by Beethoven about the importance of giving space to feelings, even if that means making a mistake.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/418">www.superdatascience.com/418</a></p>]]>
      </content:encoded>
      <itunes:duration>389</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/928473415]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8641403958.mp3?updated=1724051838" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>417: Data Engineering and Product Development</title>
      <description>Arthur Shectman joins us to discuss the data engineering and data product development work they do in Elephant Ventures and the importance of capturing value through data.

In this episode you will learn:

What is Elephant Ventures? [8:11]

Data quality engineering [21:00]

The importance of focusing on business value [39:58]

Methodology for understanding the company’s business value [46:05]

What is data engineering? [49:28]

What is data product development [51:34]

What are the technical skills needed for these jobs? [56:02]

What is the future bringing for data science? [59:23]


Additional materials: www.superdatascience.com/417</description>
      <pubDate>Thu, 12 Nov 2020 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/27eb63e4-1c33-11ef-9765-5376fd7ce47c/image/cc5c3b16778487934a8c6066c414c4c6.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Arthur Shectman joins us to discuss the data engineering and data product development work they do in Elephant Ventures and the importance of capturing value through data.</itunes:subtitle>
      <itunes:summary>Arthur Shectman joins us to discuss the data engineering and data product development work they do in Elephant Ventures and the importance of capturing value through data.

In this episode you will learn:

What is Elephant Ventures? [8:11]

Data quality engineering [21:00]

The importance of focusing on business value [39:58]

Methodology for understanding the company’s business value [46:05]

What is data engineering? [49:28]

What is data product development [51:34]

What are the technical skills needed for these jobs? [56:02]

What is the future bringing for data science? [59:23]


Additional materials: www.superdatascience.com/417</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Arthur Shectman joins us to discuss the data engineering and data product development work they do in Elephant Ventures and the importance of capturing value through data.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What is Elephant Ventures? [8:11]</li>
<li>Data quality engineering [21:00]</li>
<li>The importance of focusing on business value [39:58]</li>
<li>Methodology for understanding the company’s business value [46:05]</li>
<li>What is data engineering? [49:28]</li>
<li>What is data product development [51:34]</li>
<li>What are the technical skills needed for these jobs? [56:02]</li>
<li>What is the future bringing for data science? [59:23]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/417">www.superdatascience.com/417</a></p>]]>
      </content:encoded>
      <itunes:duration>3986</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/927225421]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8055369975.mp3?updated=1724051817" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>416: My Advice for Career Success</title>
      <description>In this episode, I talk about the three key ingredients for a successful, happy career in data science.

Additional materials: www.superdatascience.com/416</description>
      <pubDate>Fri, 06 Nov 2020 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/28683b80-1c33-11ef-9765-5beb9bd16f4e/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I talk about the three key ingredients for a successful, happy career in data science.</itunes:subtitle>
      <itunes:summary>In this episode, I talk about the three key ingredients for a successful, happy career in data science.

Additional materials: www.superdatascience.com/416</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I talk about the three key ingredients for a successful, happy career in data science.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/416">www.superdatascience.com/416</a></p>]]>
      </content:encoded>
      <itunes:duration>984</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/924318754]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1310748674.mp3?updated=1724051767" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>415: Developing and Maintaining Your Technical and Soft Skills</title>
      <description>Asieh Ahani joins us to discuss her rapid career progress, the unique work she does at MassMutual, and how she maintains her technical skills while working in a leading position.

In this episode you will learn:

Asieh’s background [5:09]

Machine learning techniques for processing biosignals [14:24]

Signal processing [22:22]

Asieh’s career and move from academia to industry [27:19]

Maintaining technical skills as a manager [41:48]

MassMutual is hiring [47:02]

Leading a remote data science team and work/life balance [49:55]

Asieh’s words for other women in data science [55:28]

Future of data science [1:00:30]


Additional materials: www.superdatascience.com/415</description>
      <pubDate>Thu, 05 Nov 2020 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/28e8a5cc-1c33-11ef-9765-aff9c3f11776/image/64703901826a1055201eaeeb870a7d99.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Asieh Ahani joins us to discuss her rapid career progress, the unique work she does at MassMutual, and how she maintains her technical skills while working in a leading position.</itunes:subtitle>
      <itunes:summary>Asieh Ahani joins us to discuss her rapid career progress, the unique work she does at MassMutual, and how she maintains her technical skills while working in a leading position.

In this episode you will learn:

Asieh’s background [5:09]

Machine learning techniques for processing biosignals [14:24]

Signal processing [22:22]

Asieh’s career and move from academia to industry [27:19]

Maintaining technical skills as a manager [41:48]

MassMutual is hiring [47:02]

Leading a remote data science team and work/life balance [49:55]

Asieh’s words for other women in data science [55:28]

Future of data science [1:00:30]


Additional materials: www.superdatascience.com/415</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Asieh Ahani joins us to discuss her rapid career progress, the unique work she does at MassMutual, and how she maintains her technical skills while working in a leading position.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Asieh’s background [5:09]</li>
<li>Machine learning techniques for processing biosignals [14:24]</li>
<li>Signal processing [22:22]</li>
<li>Asieh’s career and move from academia to industry [27:19]</li>
<li>Maintaining technical skills as a manager [41:48]</li>
<li>MassMutual is hiring [47:02]</li>
<li>Leading a remote data science team and work/life balance [49:55]</li>
<li>Asieh’s words for other women in data science [55:28]</li>
<li>Future of data science [1:00:30]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/415">www.superdatascience.com/415</a></p>]]>
      </content:encoded>
      <itunes:duration>4125</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/923142739]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2516376011.mp3?updated=1724051747" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>414: Needs vs. Wants</title>
      <description>Today I talked about the importance of understanding the balance between acting selfishly and acting with self-neglect and how the awareness of our needs and wants can help with that.

Additional materials: www.superdatascience.com/414</description>
      <pubDate>Fri, 30 Oct 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2970c100-1c33-11ef-9765-bb9a5f882a6d/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Today I talked about the importance of understanding the balance between acting selfishly and acting with self-neglect and how the awareness of our needs and wants can help with that.</itunes:subtitle>
      <itunes:summary>Today I talked about the importance of understanding the balance between acting selfishly and acting with self-neglect and how the awareness of our needs and wants can help with that.

Additional materials: www.superdatascience.com/414</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Today I talked about the importance of understanding the balance between acting selfishly and acting with self-neglect and how the awareness of our needs and wants can help with that.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/414">www.superdatascience.com/414</a></p>]]>
      </content:encoded>
      <itunes:duration>838</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/920235325]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5749265631.mp3?updated=1724051695" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>413: Changing The World With Data</title>
      <description>Emmanuel Letouzé discussed in-depth his work in global data science literacy and how he hopes data science will benefit the world in various societal and socio-economic challenges.

In this episode you will learn:

Parenting and its effects on Emmanuel’s life and work [3:14]

Why did Data-Pop Alliance come to life? [8:42]

Working with Harvard and MIT [13:04]

Examples of projects and areas of focus [18:16]

Data as lenses and data as lever [29:43]

Sustainable Development Goals indicators [38:21]

How can we use data as a lever? [43:41]

How can data help with disaster resilience? [57:09]

The future of data science [1:04:09]


Additional materials: www.superdatascience.com/413</description>
      <pubDate>Wed, 28 Oct 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2a095c80-1c33-11ef-9765-1bf7dcbaaf79/image/0d7d887a265029b59ed9cd4d044be385.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Emmanuel Letouzé discussed in-depth his work in global data science literacy and how he hopes data science will benefit the world in various societal and socio-economic challenges.</itunes:subtitle>
      <itunes:summary>Emmanuel Letouzé discussed in-depth his work in global data science literacy and how he hopes data science will benefit the world in various societal and socio-economic challenges.

In this episode you will learn:

Parenting and its effects on Emmanuel’s life and work [3:14]

Why did Data-Pop Alliance come to life? [8:42]

Working with Harvard and MIT [13:04]

Examples of projects and areas of focus [18:16]

Data as lenses and data as lever [29:43]

Sustainable Development Goals indicators [38:21]

How can we use data as a lever? [43:41]

How can data help with disaster resilience? [57:09]

The future of data science [1:04:09]


Additional materials: www.superdatascience.com/413</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Emmanuel Letouzé discussed in-depth his work in global data science literacy and how he hopes data science will benefit the world in various societal and socio-economic challenges.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Parenting and its effects on Emmanuel’s life and work [3:14]</li>
<li>Why did Data-Pop Alliance come to life? [8:42]</li>
<li>Working with Harvard and MIT [13:04]</li>
<li>Examples of projects and areas of focus [18:16]</li>
<li>Data as lenses and data as lever [29:43]</li>
<li>Sustainable Development Goals indicators [38:21]</li>
<li>How can we use data as a lever? [43:41]</li>
<li>How can data help with disaster resilience? [57:09]</li>
<li>The future of data science [1:04:09]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/413">www.superdatascience.com/413</a></p>]]>
      </content:encoded>
      <itunes:duration>4574</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/918898399]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5789737565.mp3?updated=1724051662" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>412: Stand More - Sit Less</title>
      <description>Today I talked with a chiropractor about how to best treat your back while working during the day.

Additional materials: www.superdatascience.com/412</description>
      <pubDate>Fri, 23 Oct 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2a81ce72-1c33-11ef-9765-1f502cfb805d/image/2117b5ee1a4eedbc0fc6990c0e1e1f19.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Today I talked with a chiropractor about how to best treat your back while working during the day.</itunes:subtitle>
      <itunes:summary>Today I talked with a chiropractor about how to best treat your back while working during the day.

Additional materials: www.superdatascience.com/412</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Today I talked with a chiropractor about how to best treat your back while working during the day.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/412">www.superdatascience.com/412</a></p>]]>
      </content:encoded>
      <itunes:duration>736</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/916476911]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8593120084.mp3?updated=1724051607" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>411: Succeeding in Analytics by Thinking Outside the Data</title>
      <description>Jennifer Cooper talked with us about her role as a strategic analyst and how others can get involved with similar positions around analytics and hybrid roles.

In this episode you will learn:

Jennifer’s start in data science [6:04]

What is analytics support function? [16:01]

Keys to success in analytics roles [21:09]

How do you find these roles? [42:42]

DataScienceGO Virtual #2 [50:45]

Common questions Jennifer gets [1:00:52]


Additional materials: www.superdatascience.com/411</description>
      <pubDate>Wed, 21 Oct 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2b092278-1c33-11ef-9765-0711ebeed423/image/3a6c00ac2d1d5691ff42aeaa701dd7e9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jennifer Cooper talked with us about her role as a strategic analyst and how others can get involved with similar positions around analytics and hybrid roles.</itunes:subtitle>
      <itunes:summary>Jennifer Cooper talked with us about her role as a strategic analyst and how others can get involved with similar positions around analytics and hybrid roles.

In this episode you will learn:

Jennifer’s start in data science [6:04]

What is analytics support function? [16:01]

Keys to success in analytics roles [21:09]

How do you find these roles? [42:42]

DataScienceGO Virtual #2 [50:45]

Common questions Jennifer gets [1:00:52]


Additional materials: www.superdatascience.com/411</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jennifer Cooper talked with us about her role as a strategic analyst and how others can get involved with similar positions around analytics and hybrid roles.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Jennifer’s start in data science [6:04]</li>
<li>What is analytics support function? [16:01]</li>
<li>Keys to success in analytics roles [21:09]</li>
<li>How do you find these roles? [42:42]</li>
<li>DataScienceGO Virtual #2 [50:45]</li>
<li>Common questions Jennifer gets [1:00:52]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/411">www.superdatascience.com/411</a></p>]]>
      </content:encoded>
      <itunes:duration>4592</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/915281863]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1499010463.mp3?updated=1724051582" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>410: Communicate Your Needs</title>
      <description>Today I talk about something important, which I recently had to reteach myself, about personal needs and communication.

Additional materials: www.superdatascience.com/410</description>
      <pubDate>Fri, 16 Oct 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2b8f42e0-1c33-11ef-9765-6fae5b20cc14/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Today I talk about something important, which I recently had to reteach myself, about personal needs and communication.</itunes:subtitle>
      <itunes:summary>Today I talk about something important, which I recently had to reteach myself, about personal needs and communication.

Additional materials: www.superdatascience.com/410</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Today I talk about something important, which I recently had to reteach myself, about personal needs and communication.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/410">www.superdatascience.com/410</a></p>]]>
      </content:encoded>
      <itunes:duration>433</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/911520631]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2087065115.mp3?updated=1724051554" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>409: Succeeding &amp; Networking In The Virtual Space</title>
      <description>Steve Nouri talks with us about the importance of managing your personal brand, participating in hackathons, and being active in the conversations around AI as you begin your career.

In this episode you will learn:

Steve’s work in the Australian Computer Society [4:32]

River City Labs [12:22]

Hackathons during the pandemic [16:21]

Choosing a path in AI [26:09]

The AI bubble and its implications [31:09]

Strategic data acquisition [38:04]

Explainable AI [43:50]

Creating a personal brand [51:35]


Additional materials: www.superdatascience.com/409</description>
      <pubDate>Wed, 14 Oct 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2c06b6c2-1c33-11ef-9765-6bf3cbf5f3c8/image/3c69f9e5d114f997d28f4ded0eff698b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Steve Nouri talks with us about the importance of managing your personal brand, participating in hackathons, and being active in the conversations around AI as you begin your career.</itunes:subtitle>
      <itunes:summary>Steve Nouri talks with us about the importance of managing your personal brand, participating in hackathons, and being active in the conversations around AI as you begin your career.

In this episode you will learn:

Steve’s work in the Australian Computer Society [4:32]

River City Labs [12:22]

Hackathons during the pandemic [16:21]

Choosing a path in AI [26:09]

The AI bubble and its implications [31:09]

Strategic data acquisition [38:04]

Explainable AI [43:50]

Creating a personal brand [51:35]


Additional materials: www.superdatascience.com/409</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Steve Nouri talks with us about the importance of managing your personal brand, participating in hackathons, and being active in the conversations around AI as you begin your career.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Steve’s work in the Australian Computer Society [4:32]</li>
<li>River City Labs [12:22]</li>
<li>Hackathons during the pandemic [16:21]</li>
<li>Choosing a path in AI [26:09]</li>
<li>The AI bubble and its implications [31:09]</li>
<li>Strategic data acquisition [38:04]</li>
<li>Explainable AI [43:50]</li>
<li>Creating a personal brand [51:35]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/409">www.superdatascience.com/409</a></p>]]>
      </content:encoded>
      <itunes:duration>4146</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/910307038]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5199624451.mp3?updated=1724051526" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>408: Meaning is Everything</title>
      <description>Today I talk about an interesting concept that can often be the cause of conflicts in professional and personal relationships.

Additional materials: www.superdatascience.com/408</description>
      <pubDate>Fri, 09 Oct 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2c851044-1c33-11ef-9765-17edad562d0c/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Today I talk about an interesting concept that can often be the cause of conflicts in professional and personal relationships.</itunes:subtitle>
      <itunes:summary>Today I talk about an interesting concept that can often be the cause of conflicts in professional and personal relationships.

Additional materials: www.superdatascience.com/408</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Today I talk about an interesting concept that can often be the cause of conflicts in professional and personal relationships.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/408">www.superdatascience.com/408</a></p>]]>
      </content:encoded>
      <itunes:duration>759</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/906987601]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8101116198.mp3?updated=1724051476" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>407: How to Encourage Diversity in Data Science</title>
      <description>Margot Gerritsen joins us for a great discussion that was both technical and inspiring, on the topics of principal component analysis and linear algebra, as well as the importance of women in data science.

In this episode you will learn:

Margot’s travels and background [7:29]

Margot’s position and work at Stanford [13:38]

What is linear algebra? [18:00]

Principle component analysis [23:02]

WIDS, Women in Data Science [32:08]

Margot’s diversity call to action [58:12]

How can men support their female colleagues? [1:05:55]


Additional materials: www.superdatascience.com/407</description>
      <pubDate>Wed, 07 Oct 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2cfc07ee-1c33-11ef-9765-27f3e1549993/image/c5b6eef4b04bb3a96e979c0f37d8ae9c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Margot Gerritsen joins us for a great discussion that was both technical and inspiring, on the topics of principal component analysis and linear algebra, as well as the importance of women in data science.</itunes:subtitle>
      <itunes:summary>Margot Gerritsen joins us for a great discussion that was both technical and inspiring, on the topics of principal component analysis and linear algebra, as well as the importance of women in data science.

In this episode you will learn:

Margot’s travels and background [7:29]

Margot’s position and work at Stanford [13:38]

What is linear algebra? [18:00]

Principle component analysis [23:02]

WIDS, Women in Data Science [32:08]

Margot’s diversity call to action [58:12]

How can men support their female colleagues? [1:05:55]


Additional materials: www.superdatascience.com/407</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Margot Gerritsen joins us for a great discussion that was both technical and inspiring, on the topics of principal component analysis and linear algebra, as well as the importance of women in data science.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Margot’s travels and background [7:29]</li>
<li>Margot’s position and work at Stanford [13:38]</li>
<li>What is linear algebra? [18:00]</li>
<li>Principle component analysis [23:02]</li>
<li>WIDS, Women in Data Science [32:08]</li>
<li>Margot’s diversity call to action [58:12]</li>
<li>How can men support their female colleagues? [1:05:55]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/407">www.superdatascience.com/407</a></p>]]>
      </content:encoded>
      <itunes:duration>5025</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/906042865]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9878321360.mp3?updated=1724051454" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>406: Abandon Hope</title>
      <description>Today we discussed the Buddhist concept “abandon hope” as a way to avoid falling victim to negative emotions and fear.

Additional materials: www.superdatascience.com/406</description>
      <pubDate>Fri, 02 Oct 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2d7ae7bc-1c33-11ef-9765-0f5f512d82d6/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Today we discussed the Buddhist concept “abandon hope” as a way to avoid falling victim to negative emotions and fear.</itunes:subtitle>
      <itunes:summary>Today we discussed the Buddhist concept “abandon hope” as a way to avoid falling victim to negative emotions and fear.

Additional materials: www.superdatascience.com/406</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Today we discussed the Buddhist concept “abandon hope” as a way to avoid falling victim to negative emotions and fear.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/406">www.superdatascience.com/406</a></p>]]>
      </content:encoded>
      <itunes:duration>465</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/903303262]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3849819750.mp3?updated=1724051406" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>405: The Work of Quants and Data Scientists in the Financial Space</title>
      <description>Thomas Obrist joins us to give an advanced talk on the work he does in the financial and energy space as a quant and how it overlaps with data science.

In this episode you will learn:

Thomas’s background and studies [5:04]

Long and short in financial markets [8:33]

Thomas’s current role at Axpo [14:55]

Quant vs. data scientist vs. data analyst [18:55]

The Monte Carlo method [26:26]

Thomas’s day-to-day [30:06]

Grid loss use case [35:25]

Thomas’s hackathon success [53:22]

Thomas’s recommendation for those interested in the space [1:01:39]


Additional materials: www.superdatascience.com/405</description>
      <pubDate>Wed, 30 Sep 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/30db3196-1c33-11ef-9765-833488478627/image/1d1eaa1ccc7f1f569a6ebeb52845d4ac.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Thomas Obrist joins us to give an advanced talk on the work he does in the financial and energy space as a quant and how it overlaps with data science.</itunes:subtitle>
      <itunes:summary>Thomas Obrist joins us to give an advanced talk on the work he does in the financial and energy space as a quant and how it overlaps with data science.

In this episode you will learn:

Thomas’s background and studies [5:04]

Long and short in financial markets [8:33]

Thomas’s current role at Axpo [14:55]

Quant vs. data scientist vs. data analyst [18:55]

The Monte Carlo method [26:26]

Thomas’s day-to-day [30:06]

Grid loss use case [35:25]

Thomas’s hackathon success [53:22]

Thomas’s recommendation for those interested in the space [1:01:39]


Additional materials: www.superdatascience.com/405</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Thomas Obrist joins us to give an advanced talk on the work he does in the financial and energy space as a quant and how it overlaps with data science.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Thomas’s background and studies [5:04]</li>
<li>Long and short in financial markets [8:33]</li>
<li>Thomas’s current role at Axpo [14:55]</li>
<li>Quant vs. data scientist vs. data analyst [18:55]</li>
<li>The Monte Carlo method [26:26]</li>
<li>Thomas’s day-to-day [30:06]</li>
<li>Grid loss use case [35:25]</li>
<li>Thomas’s hackathon success [53:22]</li>
<li>Thomas’s recommendation for those interested in the space [1:01:39]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/405">www.superdatascience.com/405</a></p>]]>
      </content:encoded>
      <itunes:duration>4140</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/902076742]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9783014737.mp3?updated=1724051379" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>404: The Narrative Arc in Storytelling</title>
      <description>Today we dissect the building blocks of storytelling to help you become a better presenter of your data science insights.

Additional materials: www.superdatascience.com/404</description>
      <pubDate>Fri, 25 Sep 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/31d90582-1c33-11ef-9765-933a46212350/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Today we dissect the building blocks of storytelling to help you become a better presenter of your data science insights.</itunes:subtitle>
      <itunes:summary>Today we dissect the building blocks of storytelling to help you become a better presenter of your data science insights.

Additional materials: www.superdatascience.com/404</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Today we dissect the building blocks of storytelling to help you become a better presenter of your data science insights.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/404">www.superdatascience.com/404</a></p>]]>
      </content:encoded>
      <itunes:duration>950</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/899286052]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8996741651.mp3?updated=1724051325" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>403: Gamifying Your Data Science Work and Education</title>
      <description>Juan Gabriel Gomila Salas joins for an exciting discussion about his work in the game industry and how gamification can boost data science impact across industries.

In this episode you will learn:

Juan Gabriel’s work before and during COVID-19 [3:37]

Juan Gabriel’s unique career path [10:36]

Video game monetization case study [25:44]

•How can data scientists utilize gamification in their daily jobs? [36:28]

Juan Gabriel’s work as a professor [42:46]

Is online education the future? [47:40]

Data science in the English speaking world vs the Spanish speaking world [52:30]

Where is data science headed? [59:45]


Additional materials: www.superdatascience.com/403</description>
      <pubDate>Wed, 23 Sep 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/340da808-1c33-11ef-9765-27295e11da2b/image/f2bca18f92d8840ba68f82173993677f.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Juan Gabriel Gomila Salas joins for an exciting discussion about his work in the game industry and how gamification can boost data science impact across industries.</itunes:subtitle>
      <itunes:summary>Juan Gabriel Gomila Salas joins for an exciting discussion about his work in the game industry and how gamification can boost data science impact across industries.

In this episode you will learn:

Juan Gabriel’s work before and during COVID-19 [3:37]

Juan Gabriel’s unique career path [10:36]

Video game monetization case study [25:44]

•How can data scientists utilize gamification in their daily jobs? [36:28]

Juan Gabriel’s work as a professor [42:46]

Is online education the future? [47:40]

Data science in the English speaking world vs the Spanish speaking world [52:30]

Where is data science headed? [59:45]


Additional materials: www.superdatascience.com/403</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Juan Gabriel Gomila Salas joins for an exciting discussion about his work in the game industry and how gamification can boost data science impact across industries.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Juan Gabriel’s work before and during COVID-19 [3:37]</li>
<li>Juan Gabriel’s unique career path [10:36]</li>
<li>Video game monetization case study [25:44]</li>
<li>•How can data scientists utilize gamification in their daily jobs? [36:28]</li>
<li>Juan Gabriel’s work as a professor [42:46]</li>
<li>Is online education the future? [47:40]</li>
<li>Data science in the English speaking world vs the Spanish speaking world [52:30]</li>
<li>Where is data science headed? [59:45]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/403">www.superdatascience.com/403</a></p>]]>
      </content:encoded>
      <itunes:duration>4591</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/898077151]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3419078073.mp3?updated=1724051303" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>402: Face Your Demons</title>
      <description>In this episode, I discuss an interesting metaphor I’ve recently utilized to help myself face and overcome toxic or negative feelings.

Additional materials: www.superdatascience.com/402</description>
      <pubDate>Fri, 18 Sep 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3567e786-1c33-11ef-9765-8bef4d6354f1/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I discuss an interesting metaphor I’ve recently utilized to help myself face and overcome toxic or negative feelings.</itunes:subtitle>
      <itunes:summary>In this episode, I discuss an interesting metaphor I’ve recently utilized to help myself face and overcome toxic or negative feelings.

Additional materials: www.superdatascience.com/402</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I discuss an interesting metaphor I’ve recently utilized to help myself face and overcome toxic or negative feelings.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/402">www.superdatascience.com/402</a></p>]]>
      </content:encoded>
      <itunes:duration>381</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/895300444]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2612046793.mp3?updated=1724051251" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>401: From Data Science Student to Professional</title>
      <description>Michael Galarnyk joins to tackle your questions on data science job hunting and data science education. 

In this episode you will learn:

Who is Michael Galarnyk? [3:48]

Tools and skills to know [11:52]

Building and sharing a portfolio [26:21]

Advantages of online and in-person education [37:42]

Teaching data science to younger students [43:55]

Necessary soft skills to be a successful data scientist [51:31]


Additional materials: www.superdatascience.com/401</description>
      <pubDate>Wed, 16 Sep 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/36a8de66-1c33-11ef-9765-e36771f0a535/image/e7f9159282df007494d1e7bcefcfbea6.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Michael Galarnyk joins to tackle your questions on data science job hunting and data science education. </itunes:subtitle>
      <itunes:summary>Michael Galarnyk joins to tackle your questions on data science job hunting and data science education. 

In this episode you will learn:

Who is Michael Galarnyk? [3:48]

Tools and skills to know [11:52]

Building and sharing a portfolio [26:21]

Advantages of online and in-person education [37:42]

Teaching data science to younger students [43:55]

Necessary soft skills to be a successful data scientist [51:31]


Additional materials: www.superdatascience.com/401</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Michael Galarnyk joins to tackle your questions on data science job hunting and data science education. </p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Who is Michael Galarnyk? [3:48]</li>
<li>Tools and skills to know [11:52]</li>
<li>Building and sharing a portfolio [26:21]</li>
<li>Advantages of online and in-person education [37:42]</li>
<li>Teaching data science to younger students [43:55]</li>
<li>Necessary soft skills to be a successful data scientist [51:31]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/401">www.superdatascience.com/401</a></p>]]>
      </content:encoded>
      <itunes:duration>3927</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/894119185]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4303271715.mp3?updated=1724051230" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>400: Think Bigger</title>
      <description>In this anniversary episode, we discuss the importance of knowing why you do data science and how your skills may one day impact the world as challenges arise.

Additional materials: www.superdatascience.com/400</description>
      <pubDate>Fri, 11 Sep 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/38117a9c-1c33-11ef-9765-17f1c2f9cd56/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this anniversary episode, we discuss the importance of knowing why you do data science and how your skills may one day impact the world as challenges arise.</itunes:subtitle>
      <itunes:summary>In this anniversary episode, we discuss the importance of knowing why you do data science and how your skills may one day impact the world as challenges arise.

Additional materials: www.superdatascience.com/400</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this anniversary episode, we discuss the importance of knowing why you do data science and how your skills may one day impact the world as challenges arise.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/400">www.superdatascience.com/400</a></p>]]>
      </content:encoded>
      <itunes:duration>362</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/891429907]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4906628672.mp3?updated=1724051137" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>399: Contributing to the Community of Data Scientists</title>
      <description>Monica Royal joins us to discuss her journey from consumer to contributor in the data science community and how sharing your work and exploring networking can help you on your journey.

In this episode you will learn:

Monica’s activity in the data science community [5:17]

The biggest takeaways from Monica’s 100 Days of Learnings [11:00]

Techniques for productivity and continued learning [16:03]

Monica’s interest in the SDS podcast and keeping up to date in data science [33:01]

The DataScienceGO Virtual experience [35:51]

Strategic thinking [38:38]

Monica’s parting inspirational thoughts [41:01]


Additional materials: www.superdatascience.com/399</description>
      <pubDate>Wed, 09 Sep 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3897b81e-1c33-11ef-9765-43eb4ed3a62a/image/60c4e8f5b50cc99e339db599659fabe5.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Monica Royal joins us to discuss her journey from consumer to contributor in the data science community and how sharing your work and exploring networking can help you on your journey.</itunes:subtitle>
      <itunes:summary>Monica Royal joins us to discuss her journey from consumer to contributor in the data science community and how sharing your work and exploring networking can help you on your journey.

In this episode you will learn:

Monica’s activity in the data science community [5:17]

The biggest takeaways from Monica’s 100 Days of Learnings [11:00]

Techniques for productivity and continued learning [16:03]

Monica’s interest in the SDS podcast and keeping up to date in data science [33:01]

The DataScienceGO Virtual experience [35:51]

Strategic thinking [38:38]

Monica’s parting inspirational thoughts [41:01]


Additional materials: www.superdatascience.com/399</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Monica Royal joins us to discuss her journey from consumer to contributor in the data science community and how sharing your work and exploring networking can help you on your journey.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Monica’s activity in the data science community [5:17]</li>
<li>The biggest takeaways from Monica’s 100 Days of Learnings [11:00]</li>
<li>Techniques for productivity and continued learning [16:03]</li>
<li>Monica’s interest in the SDS podcast and keeping up to date in data science [33:01]</li>
<li>The DataScienceGO Virtual experience [35:51]</li>
<li>Strategic thinking [38:38]</li>
<li>Monica’s parting inspirational thoughts [41:01]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/399">www.superdatascience.com/399</a></p>]]>
      </content:encoded>
      <itunes:duration>2840</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/890262709]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9163222635.mp3?updated=1724051115" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>398: Emotional Burnout</title>
      <description>In this episode, I discuss a very important topic on the stages and symptoms of burnout and how to tackle them at each point to avoid irreparable damage.

Additional materials: www.superdatascience.com/398</description>
      <pubDate>Fri, 04 Sep 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3911041c-1c33-11ef-9765-d7400ca370b9/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I discuss a very important topic on the stages and symptoms of burnout and how to tackle them at each point to avoid irreparable damage.</itunes:subtitle>
      <itunes:summary>In this episode, I discuss a very important topic on the stages and symptoms of burnout and how to tackle them at each point to avoid irreparable damage.

Additional materials: www.superdatascience.com/398</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I discuss a very important topic on the stages and symptoms of burnout and how to tackle them at each point to avoid irreparable damage.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/398">www.superdatascience.com/398</a></p>]]>
      </content:encoded>
      <itunes:duration>1303</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/887315080]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4536574252.mp3?updated=1724051087" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>397: The Importance of Data Science Literacy</title>
      <description>We chatted with data science influencer, educator, and principal data scientist Kirk Borne about his philosophy and work in spreading data science literacy across fields and industries through his frameworks.

In this episode you will learn:

Live vs. virtual events [4:20]

Who is Kirk Borne? [7:13]

Big data’s evolution and the emergence of small data [11:17]

The fourth industrial revolution and the future [22:00]

How has the data science education space changed in 14 years? [33:44]

Four types of data discovery [38:00]

The broad categories of AI you should pursue [50:44]

5 levels of analytics maturity [53:50]

LinkedIn Q&amp;A [1:05:00] 

Hiring at Booz Allen [1:15:18]


Additional materials: www.superdatascience.com/397</description>
      <pubDate>Wed, 02 Sep 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/39b98538-1c33-11ef-9765-275036d34198/image/ce33d0b62bc48cf26bd2a2e298594479.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>We chatted with data science influencer, educator, and principal data scientist Kirk Borne about his philosophy and work in spreading data science literacy across fields and industries through his frameworks.</itunes:subtitle>
      <itunes:summary>We chatted with data science influencer, educator, and principal data scientist Kirk Borne about his philosophy and work in spreading data science literacy across fields and industries through his frameworks.

In this episode you will learn:

Live vs. virtual events [4:20]

Who is Kirk Borne? [7:13]

Big data’s evolution and the emergence of small data [11:17]

The fourth industrial revolution and the future [22:00]

How has the data science education space changed in 14 years? [33:44]

Four types of data discovery [38:00]

The broad categories of AI you should pursue [50:44]

5 levels of analytics maturity [53:50]

LinkedIn Q&amp;A [1:05:00] 

Hiring at Booz Allen [1:15:18]


Additional materials: www.superdatascience.com/397</itunes:summary>
      <content:encoded>
        <![CDATA[<p>We chatted with data science influencer, educator, and principal data scientist Kirk Borne about his philosophy and work in spreading data science literacy across fields and industries through his frameworks.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Live vs. virtual events [4:20]</li>
<li>Who is Kirk Borne? [7:13]</li>
<li>Big data’s evolution and the emergence of small data [11:17]</li>
<li>The fourth industrial revolution and the future [22:00]</li>
<li>How has the data science education space changed in 14 years? [33:44]</li>
<li>Four types of data discovery [38:00]</li>
<li>The broad categories of AI you should pursue [50:44]</li>
<li>5 levels of analytics maturity [53:50]</li>
<li>LinkedIn Q&amp;A [1:05:00] </li>
<li>Hiring at Booz Allen [1:15:18]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/397">www.superdatascience.com/397</a></p>]]>
      </content:encoded>
      <itunes:duration>4971</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/886128382]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7789040579.mp3?updated=1724051062" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>396: Five Job Hunting Tips</title>
      <description>In this episode, I share a series of great tips, plus a bonus tip for getting your application further along in the hiring process and getting the job.

Additional materials: www.superdatascience.com/396</description>
      <pubDate>Fri, 28 Aug 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3a55d50a-1c33-11ef-9765-67f8fa2b7e65/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I share a series of great tips, plus a bonus tip for getting your application further along in the hiring process and getting the job.</itunes:subtitle>
      <itunes:summary>In this episode, I share a series of great tips, plus a bonus tip for getting your application further along in the hiring process and getting the job.

Additional materials: www.superdatascience.com/396</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I share a series of great tips, plus a bonus tip for getting your application further along in the hiring process and getting the job.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/396">www.superdatascience.com/396</a></p>]]>
      </content:encoded>
      <itunes:duration>1339</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/883485220]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6118190479.mp3?updated=1724050996" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>395: How to Tell Stories with Data</title>
      <description>Cole Nussbaumer Knaflic talks about her influential book Storytelling with Data and shares some best practices for conveying meaning from your visualizations.

In this episode you will learn:

Cole’s business Storytelling With Data [4:04]

How did Cole get into this space? [7:24]

When did Cole start writing the book? [15:33]

Top 3 tips from the book [22:44]

How to structure a good story [35:17]

Communicating in-person vs. virtually [41:37]

Cole’s upcoming workshops [43:50]

LinkedIn Q&amp;A [48:57]

Cole’s advice on preparing for the future in the field [1:05:22]


Additional materials: www.superdatascience.com/395</description>
      <pubDate>Wed, 26 Aug 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3ac845cc-1c33-11ef-9765-e7186c027e2b/image/39790fa8f68f7045a724fa25fb7409eb.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Cole Nussbaumer Knaflic talks about her influential book Storytelling with Data and shares some best practices for conveying meaning from your visualizations.</itunes:subtitle>
      <itunes:summary>Cole Nussbaumer Knaflic talks about her influential book Storytelling with Data and shares some best practices for conveying meaning from your visualizations.

In this episode you will learn:

Cole’s business Storytelling With Data [4:04]

How did Cole get into this space? [7:24]

When did Cole start writing the book? [15:33]

Top 3 tips from the book [22:44]

How to structure a good story [35:17]

Communicating in-person vs. virtually [41:37]

Cole’s upcoming workshops [43:50]

LinkedIn Q&amp;A [48:57]

Cole’s advice on preparing for the future in the field [1:05:22]


Additional materials: www.superdatascience.com/395</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Cole Nussbaumer Knaflic talks about her influential book Storytelling with Data and shares some best practices for conveying meaning from your visualizations.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Cole’s business Storytelling With Data [4:04]</li>
<li>How did Cole get into this space? [7:24]</li>
<li>When did Cole start writing the book? [15:33]</li>
<li>Top 3 tips from the book [22:44]</li>
<li>How to structure a good story [35:17]</li>
<li>Communicating in-person vs. virtually [41:37]</li>
<li>Cole’s upcoming workshops [43:50]</li>
<li>LinkedIn Q&amp;A [48:57]</li>
<li>Cole’s advice on preparing for the future in the field [1:05:22]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/395">www.superdatascience.com/395</a></p>]]>
      </content:encoded>
      <itunes:duration>4419</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/882304891]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6050207418.mp3?updated=1724050969" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>394: Teach It</title>
      <description>In this episode, I discuss the power of teaching what you learn to help you retain the highest amount of the information you are learning.

Additional materials: www.superdatascience.com/394</description>
      <pubDate>Fri, 21 Aug 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3bccce0c-1c33-11ef-9765-7b76aa037add/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I discuss the power of teaching what you learn to help you retain the highest amount of the information you are learning.</itunes:subtitle>
      <itunes:summary>In this episode, I discuss the power of teaching what you learn to help you retain the highest amount of the information you are learning.

Additional materials: www.superdatascience.com/394</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I discuss the power of teaching what you learn to help you retain the highest amount of the information you are learning.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/394">www.superdatascience.com/394</a></p>]]>
      </content:encoded>
      <itunes:duration>578</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/879540793]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5351312818.mp3?updated=1724050902" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>393: The Importance of Keeping Science in Data Science</title>
      <description>John Peach joins to discuss his passion for bringing more scientific approaches to the data science field, making it smarter and more efficient.

In this episode you will learn:

John’s move from Canada to the US [3:37]

John’s new position at Oracle [8:31]

Data Science Workflows [9:34]

John’s solution to data science workflow exploration [12:06]

John’s data science design thinking framework [21:20]

Case study [34:21]

Literate statistical programming [43:12]

R or Python? [51:55]

Data unit testing [53:28]

What drives John? [1:00:56]


Additional materials: www.superdatascience.com/393</description>
      <pubDate>Wed, 19 Aug 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3c497272-1c33-11ef-9765-63251e3112da/image/35b917a69eaaff03baf7208eda9bd8ae.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>John Peach joins to discuss his passion for bringing more scientific approaches to the data science field, making it smarter and more efficient.</itunes:subtitle>
      <itunes:summary>John Peach joins to discuss his passion for bringing more scientific approaches to the data science field, making it smarter and more efficient.

In this episode you will learn:

John’s move from Canada to the US [3:37]

John’s new position at Oracle [8:31]

Data Science Workflows [9:34]

John’s solution to data science workflow exploration [12:06]

John’s data science design thinking framework [21:20]

Case study [34:21]

Literate statistical programming [43:12]

R or Python? [51:55]

Data unit testing [53:28]

What drives John? [1:00:56]


Additional materials: www.superdatascience.com/393</itunes:summary>
      <content:encoded>
        <![CDATA[<p>John Peach joins to discuss his passion for bringing more scientific approaches to the data science field, making it smarter and more efficient.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>John’s move from Canada to the US [3:37]</li>
<li>John’s new position at Oracle [8:31]</li>
<li>Data Science Workflows [9:34]</li>
<li>John’s solution to data science workflow exploration [12:06]</li>
<li>John’s data science design thinking framework [21:20]</li>
<li>Case study [34:21]</li>
<li>Literate statistical programming [43:12]</li>
<li>R or Python? [51:55]</li>
<li>Data unit testing [53:28]</li>
<li>What drives John? [1:00:56]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/393">www.superdatascience.com/393</a></p>]]>
      </content:encoded>
      <itunes:duration>4092</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/878358694]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2531037560.mp3?updated=1724050877" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>392: Start Your Own Morning Ritual</title>
      <description>In this episode, I describe my morning ritual and discuss the importance of setting up a morning ritual for yourself.

Additional materials: www.superdatascience.com/392</description>
      <pubDate>Fri, 14 Aug 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3cdd6478-1c33-11ef-9765-e724e172ac73/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I describe my morning ritual and discuss the importance of setting up a morning ritual for yourself.</itunes:subtitle>
      <itunes:summary>In this episode, I describe my morning ritual and discuss the importance of setting up a morning ritual for yourself.

Additional materials: www.superdatascience.com/392</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I describe my morning ritual and discuss the importance of setting up a morning ritual for yourself.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/392">www.superdatascience.com/392</a></p>]]>
      </content:encoded>
      <itunes:duration>800</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/870594127]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6697551034.mp3?updated=1724050808" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>391: Data Science Campfire Tales with John Elder</title>
      <description>John Elder joins for an amazing podcast to share his data science "campfire tales" spanning over 20 years of his career in the industry. It will definitely help you in your work to incorporate some of the best principles. 

In this episode you will learn:

John’s first bungee jump [4:01] 

Calculus and newer approaches [14:01]

Elder Research [21:11]

Domain knowledge advice [25:26]

The importance of instincts [41:52]

Ensembles and simplicity [59:33]

John’s opinions on neural nets [1:10:49]

Target shuffling method [1:17:27]

What does the future of data science hold? [1:39:53]


Additional materials: www.superdatascience.com/391</description>
      <pubDate>Wed, 12 Aug 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3d5ca684-1c33-11ef-9765-1bfdfa3dd67d/image/dbf31ab357734d542f3b1f4decb66bc2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>John Elder joins for an amazing podcast to share his data science "campfire tales" spanning over 20 years of his career in the industry. It will definitely help you in your work to incorporate some of the best principles. </itunes:subtitle>
      <itunes:summary>John Elder joins for an amazing podcast to share his data science "campfire tales" spanning over 20 years of his career in the industry. It will definitely help you in your work to incorporate some of the best principles. 

In this episode you will learn:

John’s first bungee jump [4:01] 

Calculus and newer approaches [14:01]

Elder Research [21:11]

Domain knowledge advice [25:26]

The importance of instincts [41:52]

Ensembles and simplicity [59:33]

John’s opinions on neural nets [1:10:49]

Target shuffling method [1:17:27]

What does the future of data science hold? [1:39:53]


Additional materials: www.superdatascience.com/391</itunes:summary>
      <content:encoded>
        <![CDATA[<p>John Elder joins for an amazing podcast to share his data science "campfire tales" spanning over 20 years of his career in the industry. It will definitely help you in your work to incorporate some of the best principles. </p><p><br></p><p>In this episode you will learn:</p><ul>
<li>John’s first bungee jump [4:01] </li>
<li>Calculus and newer approaches [14:01]</li>
<li>Elder Research [21:11]</li>
<li>Domain knowledge advice [25:26]</li>
<li>The importance of instincts [41:52]</li>
<li>Ensembles and simplicity [59:33]</li>
<li>John’s opinions on neural nets [1:10:49]</li>
<li>Target shuffling method [1:17:27]</li>
<li>What does the future of data science hold? [1:39:53]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/391">www.superdatascience.com/391</a></p>]]>
      </content:encoded>
      <itunes:duration>6652</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/871132042]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7455017452.mp3?updated=1724050781" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>390: Perception vs. Emotion</title>
      <description>In this episode, I share a tip I came across this week about avoiding conflict in interpersonal relationships.

Additional materials: www.superdatascience.com/390</description>
      <pubDate>Fri, 07 Aug 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3dd180b2-1c33-11ef-9765-e325e715ce66/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I share a tip I came across this week about avoiding conflict in interpersonal relationships.</itunes:subtitle>
      <itunes:summary>In this episode, I share a tip I came across this week about avoiding conflict in interpersonal relationships.

Additional materials: www.superdatascience.com/390</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I share a tip I came across this week about avoiding conflict in interpersonal relationships.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/390">www.superdatascience.com/390</a></p>]]>
      </content:encoded>
      <itunes:duration>657</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/869951641]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6546218576.mp3?updated=1724050714" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>389: Becoming Good Enough: Jumpstarting Your Data Science Career</title>
      <description>Josh Hortaleza discusses how he’s become a juggernaut of an aspiring data scientist and powered through networking and internships to reach his goals in the field.

In this episode you will learn:

How did Kirill and Josh meet [8:26]

Who is Josh? [12:42]

Josh’s first internships [17:07]

Being “good enough” and the luck factor [34:51]

Josh’s goal [40:55]

Genuine networking [43:08]


Additional materials: www.superdatascience.com/389</description>
      <pubDate>Wed, 05 Aug 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3eecfecc-1c33-11ef-9765-632aafa50da0/image/e5b92860fd2fee9472004e4aa9355aee.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Josh Hortaleza discusses how he’s become a juggernaut of an aspiring data scientist and powered through networking and internships to reach his goals in the field.</itunes:subtitle>
      <itunes:summary>Josh Hortaleza discusses how he’s become a juggernaut of an aspiring data scientist and powered through networking and internships to reach his goals in the field.

In this episode you will learn:

How did Kirill and Josh meet [8:26]

Who is Josh? [12:42]

Josh’s first internships [17:07]

Being “good enough” and the luck factor [34:51]

Josh’s goal [40:55]

Genuine networking [43:08]


Additional materials: www.superdatascience.com/389</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Josh Hortaleza discusses how he’s become a juggernaut of an aspiring data scientist and powered through networking and internships to reach his goals in the field.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>How did Kirill and Josh meet [8:26]</li>
<li>Who is Josh? [12:42]</li>
<li>Josh’s first internships [17:07]</li>
<li>Being “good enough” and the luck factor [34:51]</li>
<li>Josh’s goal [40:55]</li>
<li>Genuine networking [43:08]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/389">www.superdatascience.com/389</a></p>]]>
      </content:encoded>
      <itunes:duration>3881</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/869940490]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5823342948.mp3?updated=1724050691" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>388: Get a Headhunter</title>
      <description>In this episode, I share an awesome tip for anyone at any level around recruitment and headhunters.

Additional materials: www.superdatascience.com/388</description>
      <pubDate>Fri, 31 Jul 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3fa498e8-1c33-11ef-9765-9bb28a2e120e/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I share an awesome tip for anyone at any level around recruitment and headhunters.</itunes:subtitle>
      <itunes:summary>In this episode, I share an awesome tip for anyone at any level around recruitment and headhunters.

Additional materials: www.superdatascience.com/388</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I share an awesome tip for anyone at any level around recruitment and headhunters.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/388">www.superdatascience.com/388</a></p>]]>
      </content:encoded>
      <itunes:duration>425</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/867677833]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6680841759.mp3?updated=1724050635" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>387: Becoming a Data Science Leader</title>
      <description>Lillian Pierson discusses her work on data leadership and how any data scientist can become a data leader in their organization or community.

In this episode you will learn:

Who is Lillian Pierson? [3:27]

Winning With Data [6:08]

Four superpowers of great data leaders [11:53]

Benefits of developing these skills [17:27]

Examples of quick win challenges in Winning With Data [19:34]

Impact of COVID-19 [22:23]

Where is the industry going? [28:26]


Additional materials: www.superdatascience.com/387</description>
      <pubDate>Wed, 29 Jul 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4032c050-1c33-11ef-9765-7bbe66775ebf/image/c712e24980799019c3d9c94df082ffe2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Lillian Pierson discusses her work on data leadership and how any data scientist can become a data leader in their organization or community.</itunes:subtitle>
      <itunes:summary>Lillian Pierson discusses her work on data leadership and how any data scientist can become a data leader in their organization or community.

In this episode you will learn:

Who is Lillian Pierson? [3:27]

Winning With Data [6:08]

Four superpowers of great data leaders [11:53]

Benefits of developing these skills [17:27]

Examples of quick win challenges in Winning With Data [19:34]

Impact of COVID-19 [22:23]

Where is the industry going? [28:26]


Additional materials: www.superdatascience.com/387</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Lillian Pierson discusses her work on data leadership and how any data scientist can become a data leader in their organization or community.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Who is Lillian Pierson? [3:27]</li>
<li>Winning With Data [6:08]</li>
<li>Four superpowers of great data leaders [11:53]</li>
<li>Benefits of developing these skills [17:27]</li>
<li>Examples of quick win challenges in Winning With Data [19:34]</li>
<li>Impact of COVID-19 [22:23]</li>
<li>Where is the industry going? [28:26]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/387">www.superdatascience.com/387</a></p>]]>
      </content:encoded>
      <itunes:duration>2014</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/866512501]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9123276139.mp3?updated=1724050612" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>386: Cohort Analysis</title>
      <description>Today, I explain cohort analysis and how this can be used for conversion metrics and tracking the customer journey.

Additional materials: www.superdatascience.com/386</description>
      <pubDate>Fri, 24 Jul 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/417ab35a-1c33-11ef-9765-b38aeaa2b405/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Today, I explain cohort analysis and how this can be used for conversion metrics and tracking the customer journey.</itunes:subtitle>
      <itunes:summary>Today, I explain cohort analysis and how this can be used for conversion metrics and tracking the customer journey.

Additional materials: www.superdatascience.com/386</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Today, I explain cohort analysis and how this can be used for conversion metrics and tracking the customer journey.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/386">www.superdatascience.com/386</a></p>]]>
      </content:encoded>
      <itunes:duration>593</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/863610253]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2720103463.mp3?updated=1724050548" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>385: Advanced Data Topics and People-Centered Data Science</title>
      <description>T. Scott Clendaniel joins to discuss advanced topics in data science and his forecasts for the future in this field. He also talks about the importance of soft skills for data scientists.

In this episode you will learn:

Who is Scott Clendaniel? [6:57]

Scott’s role at Franklin Templeton [10:24]

LinkedIn advanced Q&amp;A [13:29]

Tools that Scott uses the most [26:57]

Target mean encoding technique [30:35]

LinkedIn Q&amp;A on models [33:11]

LinkedIn Q&amp;A on soft skills [54:04]

LinkedIn Q&amp;A on forecasts for the future [01:00:19]

Hub and spoke model in Data Science Management [01:08:32]

Scott’s advice for advanced data scientists [01:10:12]


Additional materials: www.superdatascience.com/385</description>
      <pubDate>Wed, 22 Jul 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/41f40cdc-1c33-11ef-9765-cfe9853f40c9/image/1d26bf51f1f9ac951abb1a6145bb974f.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>T. Scott Clendaniel joins to discuss advanced topics in data science and his forecasts for the future in this field. He also talks about the importance of soft skills for data scientists.</itunes:subtitle>
      <itunes:summary>T. Scott Clendaniel joins to discuss advanced topics in data science and his forecasts for the future in this field. He also talks about the importance of soft skills for data scientists.

In this episode you will learn:

Who is Scott Clendaniel? [6:57]

Scott’s role at Franklin Templeton [10:24]

LinkedIn advanced Q&amp;A [13:29]

Tools that Scott uses the most [26:57]

Target mean encoding technique [30:35]

LinkedIn Q&amp;A on models [33:11]

LinkedIn Q&amp;A on soft skills [54:04]

LinkedIn Q&amp;A on forecasts for the future [01:00:19]

Hub and spoke model in Data Science Management [01:08:32]

Scott’s advice for advanced data scientists [01:10:12]


Additional materials: www.superdatascience.com/385</itunes:summary>
      <content:encoded>
        <![CDATA[<p>T. Scott Clendaniel joins to discuss advanced topics in data science and his forecasts for the future in this field. He also talks about the importance of soft skills for data scientists.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Who is Scott Clendaniel? [6:57]</li>
<li>Scott’s role at Franklin Templeton [10:24]</li>
<li>LinkedIn advanced Q&amp;A [13:29]</li>
<li>Tools that Scott uses the most [26:57]</li>
<li>Target mean encoding technique [30:35]</li>
<li>LinkedIn Q&amp;A on models [33:11]</li>
<li>LinkedIn Q&amp;A on soft skills [54:04]</li>
<li>LinkedIn Q&amp;A on forecasts for the future [01:00:19]</li>
<li>Hub and spoke model in Data Science Management [01:08:32]</li>
<li>Scott’s advice for advanced data scientists [01:10:12]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/385">www.superdatascience.com/385</a></p>]]>
      </content:encoded>
      <itunes:duration>4670</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/862529269]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3084572731.mp3?updated=1724050522" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>384: 10 Tips to Become a Master Presenter</title>
      <description>Today, I discuss best practices for data visualization and how to build on what we learned about cognitive load.

Additional materials: www.superdatascience.com/384</description>
      <pubDate>Fri, 17 Jul 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4265e910-1c33-11ef-9765-d78b588f7ec6/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Today, I discuss best practices for data visualization and how to build on what we learned about cognitive load.</itunes:subtitle>
      <itunes:summary>Today, I discuss best practices for data visualization and how to build on what we learned about cognitive load.

Additional materials: www.superdatascience.com/384</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Today, I discuss best practices for data visualization and how to build on what we learned about cognitive load.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/384">www.superdatascience.com/384</a></p>]]>
      </content:encoded>
      <itunes:duration>1189</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/859556617]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2648459546.mp3?updated=1724050453" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>383: You're Not an Imposter, You're Learning: Data Science Journeys</title>
      <description>Sean Casey joins to discuss his data science journey and how he’s used online courses, secondary resources, and the wider network to help his journey to a data visualization professional.

In this episode you will learn:

How Sean and Kirill met at DSGO Virtual [4:25]

Sean’s experience at the virtual event [7:32]

Sean’s journey [10:06]

Do you need the credibility of a degree? [22:01]

Sean’s supplemental readings [24:33]

What can others do to replicate Sean’s success? [39:18]

Sean’s advice for others just starting [50:15]


Additional materials: www.superdatascience.com/383</description>
      <pubDate>Wed, 15 Jul 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/42d9c222-1c33-11ef-9765-3bb581e2abbd/image/c7d29310422090ac2d2f9b71524f1507.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Sean Casey joins to discuss his data science journey and how he’s used online courses, secondary resources, and the wider network to help his journey to a data visualization professional.</itunes:subtitle>
      <itunes:summary>Sean Casey joins to discuss his data science journey and how he’s used online courses, secondary resources, and the wider network to help his journey to a data visualization professional.

In this episode you will learn:

How Sean and Kirill met at DSGO Virtual [4:25]

Sean’s experience at the virtual event [7:32]

Sean’s journey [10:06]

Do you need the credibility of a degree? [22:01]

Sean’s supplemental readings [24:33]

What can others do to replicate Sean’s success? [39:18]

Sean’s advice for others just starting [50:15]


Additional materials: www.superdatascience.com/383</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Sean Casey joins to discuss his data science journey and how he’s used online courses, secondary resources, and the wider network to help his journey to a data visualization professional.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>How Sean and Kirill met at DSGO Virtual [4:25]</li>
<li>Sean’s experience at the virtual event [7:32]</li>
<li>Sean’s journey [10:06]</li>
<li>Do you need the credibility of a degree? [22:01]</li>
<li>Sean’s supplemental readings [24:33]</li>
<li>What can others do to replicate Sean’s success? [39:18]</li>
<li>Sean’s advice for others just starting [50:15]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/383">www.superdatascience.com/383</a></p>]]>
      </content:encoded>
      <itunes:duration>3560</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/858352903]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7022779503.mp3?updated=1724050390" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>382: Manage Cognitive Load in Data Science</title>
      <description>Today, I discussed the types of cognitive load and how to best utilize them when imparting information through data.

Additional materials: www.superdatascience.com/382</description>
      <pubDate>Fri, 10 Jul 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/434fd3e0-1c33-11ef-9765-db6237a1c828/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Today, I discussed the types of cognitive load and how to best utilize them when imparting information through data.</itunes:subtitle>
      <itunes:summary>Today, I discussed the types of cognitive load and how to best utilize them when imparting information through data.

Additional materials: www.superdatascience.com/382</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Today, I discussed the types of cognitive load and how to best utilize them when imparting information through data.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/382">www.superdatascience.com/382</a></p>]]>
      </content:encoded>
      <itunes:duration>547</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/855485530]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2015051167.mp3?updated=1724050334" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>381: How to Avoid Failing at Digital Transformation</title>
      <description>Tony Saldanha joins the podcast to discuss the realities of digital transformation and the steps companies must take to successfully transform in this fourth industrial revolution.

In this episode you will learn:

Tony’s book on digital transformation [2:51]

What is digital transformation [8:30]

Five stage framework of going through digital transformation [11:13]

Case studies through the stages [16:43]

Why do digital transformations fail? [27:26]

VC portfolio approach [31:21]

Tony’s consulting work and top tips [40:11]

Change management and COVID-19 [44:44]

Disruption vs. digital transformation [51:14]

What does the future hold? [53:50]


Additional materials: www.superdatascience.com/381</description>
      <pubDate>Wed, 08 Jul 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/441831a0-1c33-11ef-9765-271fbb5c618d/image/7eff9122c241719d2ad160708e67d93e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Tony Saldanha joins the podcast to discuss the realities of digital transformation and the steps companies must take to successfully transform in this fourth industrial revolution.</itunes:subtitle>
      <itunes:summary>Tony Saldanha joins the podcast to discuss the realities of digital transformation and the steps companies must take to successfully transform in this fourth industrial revolution.

In this episode you will learn:

Tony’s book on digital transformation [2:51]

What is digital transformation [8:30]

Five stage framework of going through digital transformation [11:13]

Case studies through the stages [16:43]

Why do digital transformations fail? [27:26]

VC portfolio approach [31:21]

Tony’s consulting work and top tips [40:11]

Change management and COVID-19 [44:44]

Disruption vs. digital transformation [51:14]

What does the future hold? [53:50]


Additional materials: www.superdatascience.com/381</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Tony Saldanha joins the podcast to discuss the realities of digital transformation and the steps companies must take to successfully transform in this fourth industrial revolution.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Tony’s book on digital transformation [2:51]</li>
<li>What is digital transformation [8:30]</li>
<li>Five stage framework of going through digital transformation [11:13]</li>
<li>Case studies through the stages [16:43]</li>
<li>Why do digital transformations fail? [27:26]</li>
<li>VC portfolio approach [31:21]</li>
<li>Tony’s consulting work and top tips [40:11]</li>
<li>Change management and COVID-19 [44:44]</li>
<li>Disruption vs. digital transformation [51:14]</li>
<li>What does the future hold? [53:50]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/381">www.superdatascience.com/381</a></p>]]>
      </content:encoded>
      <itunes:duration>3608</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/854342836]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8961511203.mp3?updated=1724050310" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>380: Data Analyst vs. Data Scientist</title>
      <description>Today, I discuss the difference between a data analyst and data scientist and how you can join our team as a potential data analyst. 

Additional materials: www.superdatascience.com/380</description>
      <pubDate>Fri, 03 Jul 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4494fb40-1c33-11ef-9765-9f0467358650/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Today, I discuss the difference between a data analyst and data scientist and how you can join our team as a potential data analyst. </itunes:subtitle>
      <itunes:summary>Today, I discuss the difference between a data analyst and data scientist and how you can join our team as a potential data analyst. 

Additional materials: www.superdatascience.com/380</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Today, I discuss the difference between a data analyst and data scientist and how you can join our team as a potential data analyst. </p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/380">www.superdatascience.com/380</a></p>]]>
      </content:encoded>
      <itunes:duration>613</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/851437408]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4087930911.mp3?updated=1723793248" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>379: Maelstrom, Chaos, and Mayhem: Guiding Your Data Science Career Path</title>
      <description>Christopher Bishop speaks on the importance of career tactics in data science and how to prepare and move through the career path you want.

In this episode you will learn:

Who is Christopher Bishop? [5:18]

How Christopher developed his advising framework [9:17]

Why data scientists? [12:07]

What is the Future Career Toolkit? [15:54]

How to connect with people as an unknown data scientist [34:09]

What's the intended outcome of the framework? [43:53]


Additional materials: www.superdatascience.com/379</description>
      <pubDate>Wed, 01 Jul 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/450377fa-1c33-11ef-9765-73d09d3fac15/image/e82254818f3a0957032707fa9fdb5ecf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Christopher Bishop speaks on the importance of career tactics in data science and how to prepare and move through the career path you want.</itunes:subtitle>
      <itunes:summary>Christopher Bishop speaks on the importance of career tactics in data science and how to prepare and move through the career path you want.

In this episode you will learn:

Who is Christopher Bishop? [5:18]

How Christopher developed his advising framework [9:17]

Why data scientists? [12:07]

What is the Future Career Toolkit? [15:54]

How to connect with people as an unknown data scientist [34:09]

What's the intended outcome of the framework? [43:53]


Additional materials: www.superdatascience.com/379</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Christopher Bishop speaks on the importance of career tactics in data science and how to prepare and move through the career path you want.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Who is Christopher Bishop? [5:18]</li>
<li>How Christopher developed his advising framework [9:17]</li>
<li>Why data scientists? [12:07]</li>
<li>What is the Future Career Toolkit? [15:54]</li>
<li>How to connect with people as an unknown data scientist [34:09]</li>
<li>What's the intended outcome of the framework? [43:53]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/379">www.superdatascience.com/379</a></p>]]>
      </content:encoded>
      <itunes:duration>3338</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/850148686]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4475401401.mp3?updated=1723793227" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>378: Use Your Unconscious Mind</title>
      <description>In this episode, I talk about the importance of the unconscious mind in decision making and how logic and reasoning may sometimes hinder you.

Additional materials: www.superdatascience.com/378</description>
      <pubDate>Fri, 26 Jun 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/46249b78-1c33-11ef-9765-53c6423f74ad/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I talk about the importance of the unconscious mind in decision making and how logic and reasoning may sometimes hinder you.</itunes:subtitle>
      <itunes:summary>In this episode, I talk about the importance of the unconscious mind in decision making and how logic and reasoning may sometimes hinder you.

Additional materials: www.superdatascience.com/378</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I talk about the importance of the unconscious mind in decision making and how logic and reasoning may sometimes hinder you.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/378">www.superdatascience.com/378</a></p>]]>
      </content:encoded>
      <itunes:duration>598</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/847183642]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6539819335.mp3?updated=1723793180" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>377: The Power of Women in STEM</title>
      <description>Deborah Berebichez joins us to discuss her experience as a woman in STEM, her work with upcoming generations of women in STEM, and how she helps facilitate data science trainings.

In this episode you will learn:

Deborah's origins [4:21]

Pursuing physics as a Jewish-Mexican woman [9:43]

Deborah's work in helping women in STEM [23:10]

How can companies also aid women in STEM? [28:10]

How can individual data scientists work on creative thinking? [44:31]

Deborah's work at Metis [48:26]

Data literacy done the right way [1:00:33]

The future of data science [1:04:55]


Additional materials: www.superdatascience.com/377</description>
      <pubDate>Wed, 24 Jun 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/48421156-1c33-11ef-9765-57fb42d44859/image/00d753e27e1208d8527c42bf910aee7f.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Deborah Berebichez joins us to discuss her experience as a woman in STEM, her work with upcoming generations of women in STEM, and how she helps facilitate data science trainings.</itunes:subtitle>
      <itunes:summary>Deborah Berebichez joins us to discuss her experience as a woman in STEM, her work with upcoming generations of women in STEM, and how she helps facilitate data science trainings.

In this episode you will learn:

Deborah's origins [4:21]

Pursuing physics as a Jewish-Mexican woman [9:43]

Deborah's work in helping women in STEM [23:10]

How can companies also aid women in STEM? [28:10]

How can individual data scientists work on creative thinking? [44:31]

Deborah's work at Metis [48:26]

Data literacy done the right way [1:00:33]

The future of data science [1:04:55]


Additional materials: www.superdatascience.com/377</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Deborah Berebichez joins us to discuss her experience as a woman in STEM, her work with upcoming generations of women in STEM, and how she helps facilitate data science trainings.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Deborah's origins [4:21]</li>
<li>Pursuing physics as a Jewish-Mexican woman [9:43]</li>
<li>Deborah's work in helping women in STEM [23:10]</li>
<li>How can companies also aid women in STEM? [28:10]</li>
<li>How can individual data scientists work on creative thinking? [44:31]</li>
<li>Deborah's work at Metis [48:26]</li>
<li>Data literacy done the right way [1:00:33]</li>
<li>The future of data science [1:04:55]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/377">www.superdatascience.com/377</a></p>]]>
      </content:encoded>
      <itunes:duration>4682</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/845864623]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5868773957.mp3?updated=1723793160" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>376: Expose Yourself to New Ideas Regularly</title>
      <description>In this FiveMinuteFriday, I talk about the need to widen your horizons, expose yourself to more varied disciplines and thought processes, and the benefits you can get in your work from doing this.

Additional materials: www.superdatascience.com/376</description>
      <pubDate>Fri, 19 Jun 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/48b03960-1c33-11ef-9765-1ff79274e8bd/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this FiveMinuteFriday, I talk about the need to widen your horizons, expose yourself to more varied disciplines and thought processes, and the benefits you can get in your work from doing this.</itunes:subtitle>
      <itunes:summary>In this FiveMinuteFriday, I talk about the need to widen your horizons, expose yourself to more varied disciplines and thought processes, and the benefits you can get in your work from doing this.

Additional materials: www.superdatascience.com/376</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this FiveMinuteFriday, I talk about the need to widen your horizons, expose yourself to more varied disciplines and thought processes, and the benefits you can get in your work from doing this.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/376">www.superdatascience.com/376</a></p>]]>
      </content:encoded>
      <itunes:duration>580</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/842972506]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3217627944.mp3?updated=1723793111" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>375: Utilizing Oracle Cloud as an Enterprise, Small Business, or Developer</title>
      <description>Greg Pavlik joins me for a great talk about the current state of the cloud and how single practitioners and small businesses can take advantage of cloud services.

In this episode you will learn:

Will we have cloud-based solutions for VR and working from home? [8:15]

Greg’s career journey [11:50]

From Hadoop to Cloud [23:35]

The cloud element in data science [30:17]

Data science and AI in Oracle [33:00]

Is Oracle more suited for larger companies only? [37:35]

Fundamental differences between Oracle Cloud, Amazon, and Azure [42:12]

Trends in data science and data management [45:14]

Why should someone choose Oracle over any other open source? [52:50]

How does the future of data management look like? [56:00]

5G and edge computing [1:01:36] 

Greg’s recommendation to data scientists [1:04:28]


Additional materials: www.superdatascience.com/375</description>
      <pubDate>Wed, 17 Jun 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/491fbd6c-1c33-11ef-9765-db2687786454/image/3db438b202f99bf8c56b3bc24bf816d5.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Greg Pavlik joins me for a great talk about the current state of the cloud and how single practitioners and small businesses can take advantage of cloud services.</itunes:subtitle>
      <itunes:summary>Greg Pavlik joins me for a great talk about the current state of the cloud and how single practitioners and small businesses can take advantage of cloud services.

In this episode you will learn:

Will we have cloud-based solutions for VR and working from home? [8:15]

Greg’s career journey [11:50]

From Hadoop to Cloud [23:35]

The cloud element in data science [30:17]

Data science and AI in Oracle [33:00]

Is Oracle more suited for larger companies only? [37:35]

Fundamental differences between Oracle Cloud, Amazon, and Azure [42:12]

Trends in data science and data management [45:14]

Why should someone choose Oracle over any other open source? [52:50]

How does the future of data management look like? [56:00]

5G and edge computing [1:01:36] 

Greg’s recommendation to data scientists [1:04:28]


Additional materials: www.superdatascience.com/375</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Greg Pavlik joins me for a great talk about the current state of the cloud and how single practitioners and small businesses can take advantage of cloud services.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Will we have cloud-based solutions for VR and working from home? [8:15]</li>
<li>Greg’s career journey [11:50]</li>
<li>From Hadoop to Cloud [23:35]</li>
<li>The cloud element in data science [30:17]</li>
<li>Data science and AI in Oracle [33:00]</li>
<li>Is Oracle more suited for larger companies only? [37:35]</li>
<li>Fundamental differences between Oracle Cloud, Amazon, and Azure [42:12]</li>
<li>Trends in data science and data management [45:14]</li>
<li>Why should someone choose Oracle over any other open source? [52:50]</li>
<li>How does the future of data management look like? [56:00]</li>
<li>5G and edge computing [1:01:36] </li>
<li>Greg’s recommendation to data scientists [1:04:28]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/375">www.superdatascience.com/375</a></p>]]>
      </content:encoded>
      <itunes:duration>4367</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/841694311]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6076197214.mp3?updated=1723793089" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>374: Remember to Wind Down</title>
      <description>In this episode, I talk about an issue I’ve been having when it comes to phasing my mind out of work and into post-work activities, a concept called “attention residue”.

Additional materials: www.superdatascience.com/374</description>
      <pubDate>Fri, 12 Jun 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4995a888-1c33-11ef-9765-eb87e87211f7/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I talk about an issue I’ve been having when it comes to phasing my mind out of work and into post-work activities, a concept called “attention residue”.</itunes:subtitle>
      <itunes:summary>In this episode, I talk about an issue I’ve been having when it comes to phasing my mind out of work and into post-work activities, a concept called “attention residue”.

Additional materials: www.superdatascience.com/374</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I talk about an issue I’ve been having when it comes to phasing my mind out of work and into post-work activities, a concept called “attention residue”.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/374">www.superdatascience.com/374</a></p>]]>
      </content:encoded>
      <itunes:duration>462</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/838738105]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4259727073.mp3?updated=1723793019" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>373: TensorFlow and AI Learnings for Developers</title>
      <description>Laurence Moroney sits down to talk about TensorFlow, its community, and his work educating developers in AI and machine learning. We talk about the explosive growth of the community and the great chance for career advancement for all developers, regardless of educational background.

In this episode you will learn:

Who is Laurence Moroney? [4:14]

The importance of developers' focus on AI [8:21]

What is TensorFlow and how can it help in AI? [15:53]

Differences in TensorFlow editions [26:26]

Careers and overcoming the fear of AI [31:14]

TensorFlow community [48:46]

What does the future look like? [54:40]


Additional materials: www.superdatascience.com/373</description>
      <pubDate>Wed, 10 Jun 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4a0192aa-1c33-11ef-9765-af9e280daf3a/image/098cd7da62e2840c822c69cf48c0565e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Laurence Moroney sits down to talk about TensorFlow, its community, and his work educating developers in AI and machine learning. We talk about the explosive growth of the community and the great chance for career advancement for all developers, regardless of educational background.</itunes:subtitle>
      <itunes:summary>Laurence Moroney sits down to talk about TensorFlow, its community, and his work educating developers in AI and machine learning. We talk about the explosive growth of the community and the great chance for career advancement for all developers, regardless of educational background.

In this episode you will learn:

Who is Laurence Moroney? [4:14]

The importance of developers' focus on AI [8:21]

What is TensorFlow and how can it help in AI? [15:53]

Differences in TensorFlow editions [26:26]

Careers and overcoming the fear of AI [31:14]

TensorFlow community [48:46]

What does the future look like? [54:40]


Additional materials: www.superdatascience.com/373</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Laurence Moroney sits down to talk about TensorFlow, its community, and his work educating developers in AI and machine learning. We talk about the explosive growth of the community and the great chance for career advancement for all developers, regardless of educational background.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Who is Laurence Moroney? [4:14]</li>
<li>The importance of developers' focus on AI [8:21]</li>
<li>What is TensorFlow and how can it help in AI? [15:53]</li>
<li>Differences in TensorFlow editions [26:26]</li>
<li>Careers and overcoming the fear of AI [31:14]</li>
<li>TensorFlow community [48:46]</li>
<li>What does the future look like? [54:40]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/373">www.superdatascience.com/373</a></p>]]>
      </content:encoded>
      <itunes:duration>3591</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/837483622]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2950312180.mp3?updated=1723792995" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>372: Understanding the P-Value</title>
      <description>Today, I talk about P-value and proper hypothesis testing as well as the importance of statistical significance. 

Additional materials: www.superdatascience.com/372</description>
      <pubDate>Fri, 05 Jun 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4a67770a-1c33-11ef-9765-4b869a76f51a/image/259237151fdcae42bbf8af8d567b742c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Today, I talk about P-value and proper hypothesis testing as well as the importance of statistical significance. </itunes:subtitle>
      <itunes:summary>Today, I talk about P-value and proper hypothesis testing as well as the importance of statistical significance. 

Additional materials: www.superdatascience.com/372</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Today, I talk about P-value and proper hypothesis testing as well as the importance of statistical significance. </p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/372">www.superdatascience.com/372</a></p>]]>
      </content:encoded>
      <itunes:duration>1017</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/834521116]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9312532089.mp3?updated=1723792939" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>371: The Power of Memory For Productivity</title>
      <description>Anthony Metivier joins us again for an in-depth discussion about how memory and presence can boost productivity for people in their professional and personal lives.

In this episode you will learn:

Anthony’s technique for memorizing names [12:04]

Anthony’s new book and concept of memory [15:45]

Memory and productivity insights [31:44]

Memory palace construction methods [37:30]

How can memory techniques help a data scientist [1:01:30]

Challenge frustration curve [1:07:28]

Further advice and learnings [1:11:59]


Additional materials: www.superdatascience.com/371</description>
      <pubDate>Wed, 03 Jun 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4c12ea6c-1c33-11ef-9765-d7f4f806bc02/image/ae7b305bdcc73b954e233d5c0e4134c4.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Anthony Metivier joins us again for an in-depth discussion about how memory and presence can boost productivity for people in their professional and personal lives.</itunes:subtitle>
      <itunes:summary>Anthony Metivier joins us again for an in-depth discussion about how memory and presence can boost productivity for people in their professional and personal lives.

In this episode you will learn:

Anthony’s technique for memorizing names [12:04]

Anthony’s new book and concept of memory [15:45]

Memory and productivity insights [31:44]

Memory palace construction methods [37:30]

How can memory techniques help a data scientist [1:01:30]

Challenge frustration curve [1:07:28]

Further advice and learnings [1:11:59]


Additional materials: www.superdatascience.com/371</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Anthony Metivier joins us again for an in-depth discussion about how memory and presence can boost productivity for people in their professional and personal lives.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Anthony’s technique for memorizing names [12:04]</li>
<li>Anthony’s new book and concept of memory [15:45]</li>
<li>Memory and productivity insights [31:44]</li>
<li>Memory palace construction methods [37:30]</li>
<li>How can memory techniques help a data scientist [1:01:30]</li>
<li>Challenge frustration curve [1:07:28]</li>
<li>Further advice and learnings [1:11:59]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/371">www.superdatascience.com/371</a></p>]]>
      </content:encoded>
      <itunes:duration>4998</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/833246599]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7072301057.mp3?updated=1723792919" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>370: What is Support Vector Regression (SVR)?</title>
      <description>In today’s FiveMinuteFriday episode, I wanted to experience explaining support vector regression without the use of any visual aids.

Additional materials: www.superdatascience.com/370</description>
      <pubDate>Fri, 29 May 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4c8e38de-1c33-11ef-9765-db4c5f924016/image/eabba2a2c94fb674a7ce8fde74f3a9db.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In today’s FiveMinuteFriday episode, I wanted to experience explaining support vector regression without the use of any visual aids.</itunes:subtitle>
      <itunes:summary>In today’s FiveMinuteFriday episode, I wanted to experience explaining support vector regression without the use of any visual aids.

Additional materials: www.superdatascience.com/370</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In today’s FiveMinuteFriday episode, I wanted to experience explaining support vector regression without the use of any visual aids.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/370">www.superdatascience.com/370</a></p>]]>
      </content:encoded>
      <itunes:duration>593</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/830407102]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4601199263.mp3?updated=1723792857" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>369: Real Data Analytics for Economics, HR, and COVID-19</title>
      <description>John Johnson joins me for a thoughtful discussion about the importance of data in the world of economics and business analytics. We discuss his academic and professional history until his work now and how his company is sifting through economic data during the COVID-19 pandemic.

In this episode you will learn:

Living and working in Washington D.C. [4:11]

John’s initial jobs before Edgeworth [8:41]

Edgeworth's core values [12:01]

Edgeworth Economics and Edgeworth Analytics case studies [16:57]

Data analytics vs. data science [29:50]

Parachuting into industries [36:06]

Real analytics vs. “lip service” [42:11]

HR business analytics [51:13]

How much, as a business owner, should you rely on a consultant? [56:26]

John’s advice to worried business owners [59:24]


Additional materials: www.superdatascience.com/369</description>
      <pubDate>Wed, 27 May 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4d00e154-1c33-11ef-9765-3763dbcd71ab/image/bec9416fc23e08b3b6f0d57712fe3287.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>John Johnson joins me for a thoughtful discussion about the importance of data in the world of economics and business analytics. We discuss his academic and professional history until his work now and how his company is sifting through economic data during the COVID-19 pandemic.</itunes:subtitle>
      <itunes:summary>John Johnson joins me for a thoughtful discussion about the importance of data in the world of economics and business analytics. We discuss his academic and professional history until his work now and how his company is sifting through economic data during the COVID-19 pandemic.

In this episode you will learn:

Living and working in Washington D.C. [4:11]

John’s initial jobs before Edgeworth [8:41]

Edgeworth's core values [12:01]

Edgeworth Economics and Edgeworth Analytics case studies [16:57]

Data analytics vs. data science [29:50]

Parachuting into industries [36:06]

Real analytics vs. “lip service” [42:11]

HR business analytics [51:13]

How much, as a business owner, should you rely on a consultant? [56:26]

John’s advice to worried business owners [59:24]


Additional materials: www.superdatascience.com/369</itunes:summary>
      <content:encoded>
        <![CDATA[<p>John Johnson joins me for a thoughtful discussion about the importance of data in the world of economics and business analytics. We discuss his academic and professional history until his work now and how his company is sifting through economic data during the COVID-19 pandemic.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Living and working in Washington D.C. [4:11]</li>
<li>John’s initial jobs before Edgeworth [8:41]</li>
<li>Edgeworth's core values [12:01]</li>
<li>Edgeworth Economics and Edgeworth Analytics case studies [16:57]</li>
<li>Data analytics vs. data science [29:50]</li>
<li>Parachuting into industries [36:06]</li>
<li>Real analytics vs. “lip service” [42:11]</li>
<li>HR business analytics [51:13]</li>
<li>How much, as a business owner, should you rely on a consultant? [56:26]</li>
<li>John’s advice to worried business owners [59:24]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/369">www.superdatascience.com/369</a></p>]]>
      </content:encoded>
      <itunes:duration>3943</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/829007551]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6594821299.mp3?updated=1723792836" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>368: Future-Proof Your Career</title>
      <description>Today, I discuss the best ways to ensure you future-proof your career for the great restructuring of the workforce that technological advancements already brought and will bring even more in the future.

Additional materials: www.superdatascience.com/368</description>
      <pubDate>Fri, 22 May 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4d9040b0-1c33-11ef-9765-5314856eb054/image/eabba2a2c94fb674a7ce8fde74f3a9db.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Today, I discuss the best ways to ensure you future-proof your career for the great restructuring of the workforce that technological advancements already brought and will bring even more in the future.</itunes:subtitle>
      <itunes:summary>Today, I discuss the best ways to ensure you future-proof your career for the great restructuring of the workforce that technological advancements already brought and will bring even more in the future.

Additional materials: www.superdatascience.com/368</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Today, I discuss the best ways to ensure you future-proof your career for the great restructuring of the workforce that technological advancements already brought and will bring even more in the future.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/368">www.superdatascience.com/368</a></p>]]>
      </content:encoded>
      <itunes:duration>605</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/821039323]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4959086108.mp3?updated=1723792765" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>367: Building Data Pipelines for COVID-19 Modeling</title>
      <description>Samuel Hinton joins us again for an important and timely discussion on data pipelines and the work he’s doing to aid research on COVID-19 with the COVID-19 Critical Care Consortium. We also talk about his new online courses and his continued research into dark matter.

In this episode you will learn:

Sam’s current work and COVID-19 Critical Care Consortium [4:22]

The COVID data science pipeline and workflow [12:50]

Sam’s second online course [36:22]

Bayesian inference [43:06]

Sam at DSGO Virtual [53:30]

Sam’s work on dark matter [1:01:25]

What is Sam reading right now? [1:09:14]


Additional materials: www.superdatascience.com/367</description>
      <pubDate>Wed, 20 May 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4e030a8c-1c33-11ef-9765-5f5177e5823a/image/45ec960a2948209d6a3eeb7fb467f373.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Samuel Hinton joins us again for an important and timely discussion on data pipelines and the work he’s doing to aid research on COVID-19 with the COVID-19 Critical Care Consortium. We also talk about his new online courses and his continued research into dark matter.</itunes:subtitle>
      <itunes:summary>Samuel Hinton joins us again for an important and timely discussion on data pipelines and the work he’s doing to aid research on COVID-19 with the COVID-19 Critical Care Consortium. We also talk about his new online courses and his continued research into dark matter.

In this episode you will learn:

Sam’s current work and COVID-19 Critical Care Consortium [4:22]

The COVID data science pipeline and workflow [12:50]

Sam’s second online course [36:22]

Bayesian inference [43:06]

Sam at DSGO Virtual [53:30]

Sam’s work on dark matter [1:01:25]

What is Sam reading right now? [1:09:14]


Additional materials: www.superdatascience.com/367</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Samuel Hinton joins us again for an important and timely discussion on data pipelines and the work he’s doing to aid research on COVID-19 with the COVID-19 Critical Care Consortium. We also talk about his new online courses and his continued research into dark matter.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Sam’s current work and COVID-19 Critical Care Consortium [4:22]</li>
<li>The COVID data science pipeline and workflow [12:50]</li>
<li>Sam’s second online course [36:22]</li>
<li>Bayesian inference [43:06]</li>
<li>Sam at DSGO Virtual [53:30]</li>
<li>Sam’s work on dark matter [1:01:25]</li>
<li>What is Sam reading right now? [1:09:14]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/367">www.superdatascience.com/367</a></p>]]>
      </content:encoded>
      <itunes:duration>4673</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/824501410]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6929698521.mp3?updated=1723792742" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>366: Define Your Own Success</title>
      <description>Today, I discuss a profound conversation we had with our team this month on success and how you can define your own success.

Additional materials: www.superdatascience.com/366</description>
      <pubDate>Fri, 15 May 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4e9791f2-1c33-11ef-9765-cf76a8145ef9/image/eabba2a2c94fb674a7ce8fde74f3a9db.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Today, I discuss a profound conversation we had with our team this month on success and how you can define your own success.</itunes:subtitle>
      <itunes:summary>Today, I discuss a profound conversation we had with our team this month on success and how you can define your own success.

Additional materials: www.superdatascience.com/366</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Today, I discuss a profound conversation we had with our team this month on success and how you can define your own success.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/366">www.superdatascience.com/366</a></p>]]>
      </content:encoded>
      <itunes:duration>431</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/820894108]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3158475304.mp3?updated=1723792685" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>365: Deep Learning Models For Recruitment</title>
      <description>Jon Krohn joins me to discuss his work at untapt in designing models for HR purposes. We also discuss the power of data science across fields of medicine and epidemiology, as well as the future of deep learning.

In this episode you will learn: 

Coronavirus update in New York City [2:36]

What brought Jon to New York? [5:38]

Data science and coronavirus [12:50]

Jon’s work at untapt [18:09]

Techniques used to design models in untapt [22:02]

untapt’s approach to explainability and bias [30:19]

Jon’s other contributions to data science [38:10]

Jon’s book and visual teaching styles [44:32]

LinkedIn Q&amp;A [52:05]

Jon’s recommendation for becoming best at deep learning [1:13:09]


Additional materials: www.superdatascience.com/365</description>
      <pubDate>Wed, 13 May 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4f4a5cba-1c33-11ef-9765-abc938eea2d0/image/1f6aeea1b5d80fe116da2f65f5f884b5.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jon Krohn joins me to discuss his work at untapt in designing models for HR purposes. We also discuss the power of data science across fields of medicine and epidemiology, as well as the future of deep learning.</itunes:subtitle>
      <itunes:summary>Jon Krohn joins me to discuss his work at untapt in designing models for HR purposes. We also discuss the power of data science across fields of medicine and epidemiology, as well as the future of deep learning.

In this episode you will learn: 

Coronavirus update in New York City [2:36]

What brought Jon to New York? [5:38]

Data science and coronavirus [12:50]

Jon’s work at untapt [18:09]

Techniques used to design models in untapt [22:02]

untapt’s approach to explainability and bias [30:19]

Jon’s other contributions to data science [38:10]

Jon’s book and visual teaching styles [44:32]

LinkedIn Q&amp;A [52:05]

Jon’s recommendation for becoming best at deep learning [1:13:09]


Additional materials: www.superdatascience.com/365</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jon Krohn joins me to discuss his work at untapt in designing models for HR purposes. We also discuss the power of data science across fields of medicine and epidemiology, as well as the future of deep learning.</p><p><br></p><p>In this episode you will learn: </p><ul>
<li>Coronavirus update in New York City [2:36]</li>
<li>What brought Jon to New York? [5:38]</li>
<li>Data science and coronavirus [12:50]</li>
<li>Jon’s work at untapt [18:09]</li>
<li>Techniques used to design models in untapt [22:02]</li>
<li>untapt’s approach to explainability and bias [30:19]</li>
<li>Jon’s other contributions to data science [38:10]</li>
<li>Jon’s book and visual teaching styles [44:32]</li>
<li>LinkedIn Q&amp;A [52:05]</li>
<li>Jon’s recommendation for becoming best at deep learning [1:13:09]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/365">www.superdatascience.com/365</a></p>]]>
      </content:encoded>
      <itunes:duration>4885</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/819517630]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7340380653.mp3?updated=1723792657" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>364: Depression and Suicidal Thoughts</title>
      <description>Today, I’m talking with Anthony Metivier about practices to help your brain and body, work through the stress of the pandemic.

Additional materials: www.superdatascience.com/364</description>
      <pubDate>Fri, 08 May 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4ff336e6-1c33-11ef-9765-d7722c890dc7/image/eabba2a2c94fb674a7ce8fde74f3a9db.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Today, I’m talking with Anthony Metivier about practices to help your brain and body, work through the stress of the pandemic.</itunes:subtitle>
      <itunes:summary>Today, I’m talking with Anthony Metivier about practices to help your brain and body, work through the stress of the pandemic.

Additional materials: www.superdatascience.com/364</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Today, I’m talking with Anthony Metivier about practices to help your brain and body, work through the stress of the pandemic.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/364">www.superdatascience.com/364</a></p>]]>
      </content:encoded>
      <itunes:duration>569</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/816136945]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9872356932.mp3?updated=1723792580" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>363: Intuition, Frameworks, and Unlocking the Power of Data</title>
      <description>Piyanka Jain goes in-depth about the true power of data that can be unlocked when you combine intuition with data science practices and follow a hypothesis-driven framework to reach your project goals.

Items mentioned in this podcast: 

The power of data plus intuition [5:29]

BADIR framework for data science [12:36]

What can students pick up from Aryng’s courses? [24:58]

SWAT data science teams [34:16]

The rate of successful projects [39:38]

Four D’s of Data Culture [45:27]

Decision science vs data science [49:17]

Piyanka’s inspiration for her book [51:23]


Additional materials: www.superdatascience.com/363</description>
      <pubDate>Wed, 06 May 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/506d726c-1c33-11ef-9765-afb0bf0c8e99/image/9c96edcf58dd8085605564249a0e089c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Piyanka Jain goes in-depth about the true power of data that can be unlocked when you combine intuition with data science practices and follow a hypothesis-driven framework to reach your project goals.</itunes:subtitle>
      <itunes:summary>Piyanka Jain goes in-depth about the true power of data that can be unlocked when you combine intuition with data science practices and follow a hypothesis-driven framework to reach your project goals.

Items mentioned in this podcast: 

The power of data plus intuition [5:29]

BADIR framework for data science [12:36]

What can students pick up from Aryng’s courses? [24:58]

SWAT data science teams [34:16]

The rate of successful projects [39:38]

Four D’s of Data Culture [45:27]

Decision science vs data science [49:17]

Piyanka’s inspiration for her book [51:23]


Additional materials: www.superdatascience.com/363</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Piyanka Jain goes in-depth about the true power of data that can be unlocked when you combine intuition with data science practices and follow a hypothesis-driven framework to reach your project goals.</p><p><br></p><p>Items mentioned in this podcast: </p><ul>
<li>The power of data plus intuition [5:29]</li>
<li>BADIR framework for data science [12:36]</li>
<li>What can students pick up from Aryng’s courses? [24:58]</li>
<li>SWAT data science teams [34:16]</li>
<li>The rate of successful projects [39:38]</li>
<li>Four D’s of Data Culture [45:27]</li>
<li>Decision science vs data science [49:17]</li>
<li>Piyanka’s inspiration for her book [51:23]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/363">www.superdatascience.com/363</a></p>]]>
      </content:encoded>
      <itunes:duration>3488</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/814697650]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2829855379.mp3?updated=1723792554" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>362: Hybrid AI</title>
      <description>Today, I’m talking about an interesting topic I found in our own Data Science newsletter about the need for hybrid AI models in the future.

Additional materials: www.superdatascience.com/362</description>
      <pubDate>Fri, 01 May 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/50f22868-1c33-11ef-9765-af8027814905/image/eabba2a2c94fb674a7ce8fde74f3a9db.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Today, I’m talking about an interesting topic I found in our own Data Science newsletter about the need for hybrid AI models in the future.</itunes:subtitle>
      <itunes:summary>Today, I’m talking about an interesting topic I found in our own Data Science newsletter about the need for hybrid AI models in the future.

Additional materials: www.superdatascience.com/362</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Today, I’m talking about an interesting topic I found in our own Data Science newsletter about the need for hybrid AI models in the future.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/362">www.superdatascience.com/362</a></p>]]>
      </content:encoded>
      <itunes:duration>384</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/811140766]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4336990978.mp3?updated=1723792501" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>361: How To Succeed As An Analytics Consultant</title>
      <description>John David Ariansen joins me for an episode on the best practices for getting into data science consulting, the importance of understanding data science and analytics, and how you can network, even during a pandemic.

In this episode you will learn: 

Coronavirus and how it will affect the way we work [3:06]

John David’s consulting work [8:19]

Why did John get into consulting? [13:17]

Does John David’s age affect his clients? [25:03]

John David’s podcast [34:59]

The difference between data science and analytics [40:26]

Creating space for opportunities [49:54]

3 top tips for getting a job in data science [54:28]


Additional materials: www.superdatascience.com/361</description>
      <pubDate>Wed, 29 Apr 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/52079648-1c33-11ef-9765-771d7b0fceba/image/47e261820ba5d7da597c9a4704f36ee7.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>John David Ariansen joins me for an episode on the best practices for getting into data science consulting, the importance of understanding data science and analytics, and how you can network, even during a pandemic.</itunes:subtitle>
      <itunes:summary>John David Ariansen joins me for an episode on the best practices for getting into data science consulting, the importance of understanding data science and analytics, and how you can network, even during a pandemic.

In this episode you will learn: 

Coronavirus and how it will affect the way we work [3:06]

John David’s consulting work [8:19]

Why did John get into consulting? [13:17]

Does John David’s age affect his clients? [25:03]

John David’s podcast [34:59]

The difference between data science and analytics [40:26]

Creating space for opportunities [49:54]

3 top tips for getting a job in data science [54:28]


Additional materials: www.superdatascience.com/361</itunes:summary>
      <content:encoded>
        <![CDATA[<p>John David Ariansen joins me for an episode on the best practices for getting into data science consulting, the importance of understanding data science and analytics, and how you can network, even during a pandemic.</p><p><br></p><p>In this episode you will learn: </p><ul>
<li>Coronavirus and how it will affect the way we work [3:06]</li>
<li>John David’s consulting work [8:19]</li>
<li>Why did John get into consulting? [13:17]</li>
<li>Does John David’s age affect his clients? [25:03]</li>
<li>John David’s podcast [34:59]</li>
<li>The difference between data science and analytics [40:26]</li>
<li>Creating space for opportunities [49:54]</li>
<li>3 top tips for getting a job in data science [54:28]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/361">www.superdatascience.com/361</a></p>]]>
      </content:encoded>
      <itunes:duration>4551</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/809821000]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8472802582.mp3?updated=1723792475" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>360: Importance of Sleep</title>
      <description>In this episode, I’m exploring some topics in proper sleep habits to help you keep good sleep schedules.

Additional materials: www.superdatascience.com/360</description>
      <pubDate>Fri, 24 Apr 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/52929e64-1c33-11ef-9765-67b1ce35a5db/image/eabba2a2c94fb674a7ce8fde74f3a9db.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I’m exploring some topics in proper sleep habits to help you keep good sleep schedules.</itunes:subtitle>
      <itunes:summary>In this episode, I’m exploring some topics in proper sleep habits to help you keep good sleep schedules.

Additional materials: www.superdatascience.com/360</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I’m exploring some topics in proper sleep habits to help you keep good sleep schedules.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/360">www.superdatascience.com/360</a></p>]]>
      </content:encoded>
      <itunes:duration>817</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/805945420]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1575884688.mp3?updated=1723792346" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>359: Tackling Data Science Job Hunting, Interviews &amp; Negotiations</title>
      <description>Emily Robinson breaks down her new book “Build a Career in Data Science” by sharing what skills she focuses on exploring, who the data science field is for, and how to tackle interviews and negotiations.

In this episode you will learn: 

Long-distance networking [5:58]

Emily’s book [9:38]

Who is the field of data science for? [14:02]

Should newcomers use Python or R? [23:34]

Five company archetypes [28:36]

Approaching data science interviews and negotiating [31:25]

How do you actually get an interview? [48:08]

Emily at DSGO 2020 [57:07]

Emily’s final take-home message [58:52]

Where to buy Emily’s book and SDS discount code [1:04:26]


Additional materials: www.superdatascience.com/359</description>
      <pubDate>Wed, 22 Apr 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/531306da-1c33-11ef-9765-e7396eaf4eaa/image/a5d2297632b0c5c13e53ae96c54064c3.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Emily Robinson breaks down her new book “Build a Career in Data Science” by sharing what skills she focuses on exploring, who the data science field is for, and how to tackle interviews and negotiations.</itunes:subtitle>
      <itunes:summary>Emily Robinson breaks down her new book “Build a Career in Data Science” by sharing what skills she focuses on exploring, who the data science field is for, and how to tackle interviews and negotiations.

In this episode you will learn: 

Long-distance networking [5:58]

Emily’s book [9:38]

Who is the field of data science for? [14:02]

Should newcomers use Python or R? [23:34]

Five company archetypes [28:36]

Approaching data science interviews and negotiating [31:25]

How do you actually get an interview? [48:08]

Emily at DSGO 2020 [57:07]

Emily’s final take-home message [58:52]

Where to buy Emily’s book and SDS discount code [1:04:26]


Additional materials: www.superdatascience.com/359</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Emily Robinson breaks down her new book “Build a Career in Data Science” by sharing what skills she focuses on exploring, who the data science field is for, and how to tackle interviews and negotiations.</p><p><br></p><p>In this episode you will learn: </p><ul>
<li>Long-distance networking [5:58]</li>
<li>Emily’s book [9:38]</li>
<li>Who is the field of data science for? [14:02]</li>
<li>Should newcomers use Python or R? [23:34]</li>
<li>Five company archetypes [28:36]</li>
<li>Approaching data science interviews and negotiating [31:25]</li>
<li>How do you actually get an interview? [48:08]</li>
<li>Emily at DSGO 2020 [57:07]</li>
<li>Emily’s final take-home message [58:52]</li>
<li>Where to buy Emily’s book and SDS discount code [1:04:26]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/359">www.superdatascience.com/359</a></p>]]>
      </content:encoded>
      <itunes:duration>4201</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/804540871]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2831937130.mp3?updated=1723792323" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>358: Racism and Discrimination</title>
      <description>In this episode, I’m discussing my personal experience with discrimination during a trip at the start of the pandemic and how it elevated my understanding of racism and discrimination beyond just a cognitive level.

Additional materials: www.superdatascience.com/358</description>
      <pubDate>Fri, 17 Apr 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/538fc74c-1c33-11ef-9765-27be7288d41c/image/eabba2a2c94fb674a7ce8fde74f3a9db.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode, I’m discussing my personal experience with discrimination during a trip at the start of the pandemic and how it elevated my understanding of racism and discrimination beyond just a cognitive level.</itunes:subtitle>
      <itunes:summary>In this episode, I’m discussing my personal experience with discrimination during a trip at the start of the pandemic and how it elevated my understanding of racism and discrimination beyond just a cognitive level.

Additional materials: www.superdatascience.com/358</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, I’m discussing my personal experience with discrimination during a trip at the start of the pandemic and how it elevated my understanding of racism and discrimination beyond just a cognitive level.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/358">www.superdatascience.com/358</a></p>]]>
      </content:encoded>
      <itunes:duration>748</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/800678422]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8057424439.mp3?updated=1723792265" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>357: Emotions, Relationships, and Being Kind During the Pandemic</title>
      <description>Tracy Crossley, a Behavioral Relationship Expert, talks about how you can explore yourself during this difficult time. We also explored how different relationship dynamics can be tested during a forced lockdown and how to avoid dangerous emotional pitfalls.

In this episode you will learn:

What work does Tracy do? [5:50]

Tracy’s training [8:20]

Tracy’s view on the consequences of the pandemic [12:55]

Ways to tackle emotions during lockdown [17:14]

Final advice to those struggling during lockdown [1:00:11]


Additional materials: www.superdatascience.com/357</description>
      <pubDate>Wed, 15 Apr 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/54ea4310-1c33-11ef-9765-2373640af085/image/4272568843ce0531e87b1df70f573385.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Tracy Crossley, a Behavioral Relationship Expert, talks about how you can explore yourself during this difficult time. We also explored how different relationship dynamics can be tested during a forced lockdown and how to avoid dangerous emotional pitfalls.</itunes:subtitle>
      <itunes:summary>Tracy Crossley, a Behavioral Relationship Expert, talks about how you can explore yourself during this difficult time. We also explored how different relationship dynamics can be tested during a forced lockdown and how to avoid dangerous emotional pitfalls.

In this episode you will learn:

What work does Tracy do? [5:50]

Tracy’s training [8:20]

Tracy’s view on the consequences of the pandemic [12:55]

Ways to tackle emotions during lockdown [17:14]

Final advice to those struggling during lockdown [1:00:11]


Additional materials: www.superdatascience.com/357</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Tracy Crossley, a Behavioral Relationship Expert, talks about how you can explore yourself during this difficult time. We also explored how different relationship dynamics can be tested during a forced lockdown and how to avoid dangerous emotional pitfalls.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What work does Tracy do? [5:50]</li>
<li>Tracy’s training [8:20]</li>
<li>Tracy’s view on the consequences of the pandemic [12:55]</li>
<li>Ways to tackle emotions during lockdown [17:14]</li>
<li>Final advice to those struggling during lockdown [1:00:11]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/357">www.superdatascience.com/357</a></p>]]>
      </content:encoded>
      <itunes:duration>3994</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/799118302]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5429871631.mp3?updated=1723792240" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>356: Working Remotely</title>
      <description>Today, I’m helping you explore working remotely. Whether you’ve started doing this during the pandemic or you've been interested in and exploring remote-based jobs recently. I outline three advantages and three disadvantages to consider.

Additional materials: www.superdatascience.com/356</description>
      <pubDate>Fri, 10 Apr 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/56795234-1c33-11ef-9765-4baf7da93494/image/eabba2a2c94fb674a7ce8fde74f3a9db.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Today, I’m helping you explore working remotely. Whether you’ve started doing this during the pandemic or you've been interested in and exploring remote-based jobs recently. I outline three advantages and three disadvantages to consider.</itunes:subtitle>
      <itunes:summary>Today, I’m helping you explore working remotely. Whether you’ve started doing this during the pandemic or you've been interested in and exploring remote-based jobs recently. I outline three advantages and three disadvantages to consider.

Additional materials: www.superdatascience.com/356</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Today, I’m helping you explore working remotely. Whether you’ve started doing this during the pandemic or you've been interested in and exploring remote-based jobs recently. I outline three advantages and three disadvantages to consider.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/356">www.superdatascience.com/356</a></p>]]>
      </content:encoded>
      <itunes:duration>943</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/795171601]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5759542805.mp3?updated=1723792184" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>355: DJ Patil on Harnessing the Power of Data Science Community</title>
      <description>DJ Patil talks about ethics in data science and the importance of data science communities working together to make sure data science is an accelerant of solutions for our children and our children’s children.

In this episode you will learn:

How does it feel to be the person who created data science as we know it now? [3:17]

What data science is not [6:01]

Ethics and data science development in different countries [10:00]

What is the “biorevolution”? [16:02]

The importance of data sharing [20:10]

The current state of Chief Data Scientist of USA [24:07]

LinkedIn Q&amp;A [26:03]

What to think about when you think about data science [44:08]


Additional materials: www.superdatascience.com/355</description>
      <pubDate>Wed, 08 Apr 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/56f1dc0e-1c33-11ef-9765-bfab161f05d0/image/5852b739df0b95b7f7537a0872475bbe.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>DJ Patil talks about ethics in data science and the importance of data science communities working together to make sure data science is an accelerant of solutions for our children and our children’s children.</itunes:subtitle>
      <itunes:summary>DJ Patil talks about ethics in data science and the importance of data science communities working together to make sure data science is an accelerant of solutions for our children and our children’s children.

In this episode you will learn:

How does it feel to be the person who created data science as we know it now? [3:17]

What data science is not [6:01]

Ethics and data science development in different countries [10:00]

What is the “biorevolution”? [16:02]

The importance of data sharing [20:10]

The current state of Chief Data Scientist of USA [24:07]

LinkedIn Q&amp;A [26:03]

What to think about when you think about data science [44:08]


Additional materials: www.superdatascience.com/355</itunes:summary>
      <content:encoded>
        <![CDATA[<p>DJ Patil talks about ethics in data science and the importance of data science communities working together to make sure data science is an accelerant of solutions for our children and our children’s children.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>How does it feel to be the person who created data science as we know it now? [3:17]</li>
<li>What data science is not [6:01]</li>
<li>Ethics and data science development in different countries [10:00]</li>
<li>What is the “biorevolution”? [16:02]</li>
<li>The importance of data sharing [20:10]</li>
<li>The current state of Chief Data Scientist of USA [24:07]</li>
<li>LinkedIn Q&amp;A [26:03]</li>
<li>What to think about when you think about data science [44:08]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/355">www.superdatascience.com/355</a></p>]]>
      </content:encoded>
      <itunes:duration>2966</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/793675981]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8207929775.mp3?updated=1723792161" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>354: Negative Coefficients</title>
      <description>Today I discuss a negative coefficient as a philosophical concept in problem-solving in your life. Do you make things worse by ignoring a problem or doing the wrong things to fix it?

Additional materials: www.superdatascience.com/354</description>
      <pubDate>Fri, 03 Apr 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/57965388-1c33-11ef-9765-b3d45f211dd3/image/eabba2a2c94fb674a7ce8fde74f3a9db.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Today I discuss a negative coefficient as a philosophical concept in problem-solving in your life. Do you make things worse by ignoring a problem or doing the wrong things to fix it?</itunes:subtitle>
      <itunes:summary>Today I discuss a negative coefficient as a philosophical concept in problem-solving in your life. Do you make things worse by ignoring a problem or doing the wrong things to fix it?

Additional materials: www.superdatascience.com/354</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Today I discuss a negative coefficient as a philosophical concept in problem-solving in your life. Do you make things worse by ignoring a problem or doing the wrong things to fix it?</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/354">www.superdatascience.com/354</a></p>]]>
      </content:encoded>
      <itunes:duration>813</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/789794542]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2680637105.mp3?updated=1723792104" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>353: How to Practice Human-Centric Data Science</title>
      <description>Brian T. O’Neill joins me for an insightful dive into how you can implement human-centric practices into your data work, whether you’re a consultant or individual contributor. There are ways and steps to workshop best practices in conversations with stakeholders.

In this episode you will learn:

Brian’s two lives [7:28]

Brian’s human-first focal point [10:05]

The process of Brian’s consulting work [17:07]

How can an individual contributor be better at design thinking? [40:43]

Walkthrough Brian’s course and seminar [54:37]


Additional materials: www.superdatascience.com/353</description>
      <pubDate>Wed, 01 Apr 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/58270c84-1c33-11ef-9765-172bac04f4dd/image/16c0353bde82a68113f4b111d9eeeaab.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Brian T. O’Neill joins me for an insightful dive into how you can implement human-centric practices into your data work, whether you’re a consultant or individual contributor. There are ways and steps to workshop best practices in conversations with stakeholders.</itunes:subtitle>
      <itunes:summary>Brian T. O’Neill joins me for an insightful dive into how you can implement human-centric practices into your data work, whether you’re a consultant or individual contributor. There are ways and steps to workshop best practices in conversations with stakeholders.

In this episode you will learn:

Brian’s two lives [7:28]

Brian’s human-first focal point [10:05]

The process of Brian’s consulting work [17:07]

How can an individual contributor be better at design thinking? [40:43]

Walkthrough Brian’s course and seminar [54:37]


Additional materials: www.superdatascience.com/353</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Brian T. O’Neill joins me for an insightful dive into how you can implement human-centric practices into your data work, whether you’re a consultant or individual contributor. There are ways and steps to workshop best practices in conversations with stakeholders.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Brian’s two lives [7:28]</li>
<li>Brian’s human-first focal point [10:05]</li>
<li>The process of Brian’s consulting work [17:07]</li>
<li>How can an individual contributor be better at design thinking? [40:43]</li>
<li>Walkthrough Brian’s course and seminar [54:37]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/353">www.superdatascience.com/353</a></p>]]>
      </content:encoded>
      <itunes:duration>4540</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/788302099]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2267339802.mp3?updated=1723792080" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>352: History of Data Science - Part 5</title>
      <description>Today, we’re diving into our fifth and final part of our history of data science series by looking into data science’s future through the eyes of five of the most influential people in our space and how they see the next few decades.

Additional materials: www.superdatascience.com/352</description>
      <pubDate>Fri, 27 Mar 2020 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/58aa56b6-1c33-11ef-9765-9b133fde1710/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Today, we’re diving into our fifth and final part of our history of data science series by looking into data science’s future through the eyes of five of the most influential people in our space and how they see the next few decades.</itunes:subtitle>
      <itunes:summary>Today, we’re diving into our fifth and final part of our history of data science series by looking into data science’s future through the eyes of five of the most influential people in our space and how they see the next few decades.

Additional materials: www.superdatascience.com/352</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Today, we’re diving into our fifth and final part of our history of data science series by looking into data science’s future through the eyes of five of the most influential people in our space and how they see the next few decades.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/352">www.superdatascience.com/352</a></p>]]>
      </content:encoded>
      <itunes:duration>849</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/784428388]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6767467409.mp3?updated=1723792034" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>351: Self-Starting In Data Science</title>
      <description>Stratos Hadjioannou is a freshly hired data scientist who is self-taught and made the jump to visit DSGO. He talks about his learnings, putting himself in a data science ecosystem, and how to tackle interviews with little experience.

In this episode you will learn: 

Where did Stratos start? [6:16]

How to keep the momentum for learning [12:20]

Stratos’s goals [19:35]

Planning the steps to getting a data science job [23:01]

Triad for successful interviews [32:47]

Application process [34:53]

Experiences from the first data science job [45:51]


Additional materials: www.superdatascience.com/351</description>
      <pubDate>Wed, 25 Mar 2020 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/591b4498-1c33-11ef-9765-c39b4dc5e7cf/image/6a097649c9f10bfe01a58e46cedbcf0b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Stratos Hadjioannou is a freshly hired data scientist who is self-taught and made the jump to visit DSGO. He talks about his learnings, putting himself in a data science ecosystem, and how to tackle interviews with little experience.</itunes:subtitle>
      <itunes:summary>Stratos Hadjioannou is a freshly hired data scientist who is self-taught and made the jump to visit DSGO. He talks about his learnings, putting himself in a data science ecosystem, and how to tackle interviews with little experience.

In this episode you will learn: 

Where did Stratos start? [6:16]

How to keep the momentum for learning [12:20]

Stratos’s goals [19:35]

Planning the steps to getting a data science job [23:01]

Triad for successful interviews [32:47]

Application process [34:53]

Experiences from the first data science job [45:51]


Additional materials: www.superdatascience.com/351</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Stratos Hadjioannou is a freshly hired data scientist who is self-taught and made the jump to visit DSGO. He talks about his learnings, putting himself in a data science ecosystem, and how to tackle interviews with little experience.</p><p><br></p><p>In this episode you will learn: </p><ul>
<li>Where did Stratos start? [6:16]</li>
<li>How to keep the momentum for learning [12:20]</li>
<li>Stratos’s goals [19:35]</li>
<li>Planning the steps to getting a data science job [23:01]</li>
<li>Triad for successful interviews [32:47]</li>
<li>Application process [34:53]</li>
<li>Experiences from the first data science job [45:51]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/351">www.superdatascience.com/351</a></p>]]>
      </content:encoded>
      <itunes:duration>3660</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/782863015]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7806552796.mp3?updated=1723792013" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>350: Coronavirus</title>
      <description>Today, we take some time to discuss the real mental and emotional toll social distancing can take during the coronavirus. How can we effectively tackle each other's needs during this period?

Additional materials: www.superdatascience.com/350</description>
      <pubDate>Fri, 20 Mar 2020 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/59c35c78-1c33-11ef-9765-b79f5093508a/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Today, we take some time to discuss the real mental and emotional toll social distancing can take during the coronavirus. How can we effectively tackle each other's needs during this period?</itunes:subtitle>
      <itunes:summary>Today, we take some time to discuss the real mental and emotional toll social distancing can take during the coronavirus. How can we effectively tackle each other's needs during this period?

Additional materials: www.superdatascience.com/350</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Today, we take some time to discuss the real mental and emotional toll social distancing can take during the coronavirus. How can we effectively tackle each other's needs during this period?</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/350">www.superdatascience.com/350</a></p>]]>
      </content:encoded>
      <itunes:duration>350</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/779510107]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5800624915.mp3?updated=1723791960" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>349: Human-in-the-Loop Algorithms in Retail</title>
      <description>Brad Klingenberg talks about the unique way Stitch Fix uses algorithms and human-in-the-loop AI to generate excellent customer experiences and pull ahead of other retailers in the space.

In this episode you will learn:

Working in Stitch Fix [5:18]

How does Stitch Fix work? [11:29]

Stitch Fix algorithms tour [20:14]

Open positions in Stitch Fix [36:25]

Stitch Fix takeaways for other companies [39:07]

Humans + machines [44:19]

Stitch Fix global expansion [47:34]

Future of personalization [50:16]

Brad’s advice to data scientists [55:33]


Additional materials: www.superdatascience.com/349</description>
      <pubDate>Thu, 19 Mar 2020 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/5a4ece70-1c33-11ef-9765-9b443e148785/image/f0cdd4c8657210267211fb3ea0d06a7a.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Brad Klingenberg talks about the unique way Stitch Fix uses algorithms and human-in-the-loop AI to generate excellent customer experiences and pull ahead of other retailers in the space.</itunes:subtitle>
      <itunes:summary>Brad Klingenberg talks about the unique way Stitch Fix uses algorithms and human-in-the-loop AI to generate excellent customer experiences and pull ahead of other retailers in the space.

In this episode you will learn:

Working in Stitch Fix [5:18]

How does Stitch Fix work? [11:29]

Stitch Fix algorithms tour [20:14]

Open positions in Stitch Fix [36:25]

Stitch Fix takeaways for other companies [39:07]

Humans + machines [44:19]

Stitch Fix global expansion [47:34]

Future of personalization [50:16]

Brad’s advice to data scientists [55:33]


Additional materials: www.superdatascience.com/349</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Brad Klingenberg talks about the unique way Stitch Fix uses algorithms and human-in-the-loop AI to generate excellent customer experiences and pull ahead of other retailers in the space.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Working in Stitch Fix [5:18]</li>
<li>How does Stitch Fix work? [11:29]</li>
<li>Stitch Fix algorithms tour [20:14]</li>
<li>Open positions in Stitch Fix [36:25]</li>
<li>Stitch Fix takeaways for other companies [39:07]</li>
<li>Humans + machines [44:19]</li>
<li>Stitch Fix global expansion [47:34]</li>
<li>Future of personalization [50:16]</li>
<li>Brad’s advice to data scientists [55:33]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/349">www.superdatascience.com/349</a></p>]]>
      </content:encoded>
      <itunes:duration>3733</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/778241083]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9686189318.mp3?updated=1723791937" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>348: History of Data Science - Part 4</title>
      <description>In the penultimate episode of our history of data science series, we look at 2015 on and watch as data science goes from being about hard skills and coding to being about ethics and progress.

Additional materials: www.superdatascience.com/348</description>
      <pubDate>Fri, 13 Mar 2020 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/5acbaf6c-1c33-11ef-9765-9bdb72b0a85e/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In the penultimate episode of our history of data science series, we look at 2015 on and watch as data science goes from being about hard skills and coding to being about ethics and progress.</itunes:subtitle>
      <itunes:summary>In the penultimate episode of our history of data science series, we look at 2015 on and watch as data science goes from being about hard skills and coding to being about ethics and progress.

Additional materials: www.superdatascience.com/348</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In the penultimate episode of our history of data science series, we look at 2015 on and watch as data science goes from being about hard skills and coding to being about ethics and progress.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/348">www.superdatascience.com/348</a></p>]]>
      </content:encoded>
      <itunes:duration>1182</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/775390531]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9979409518.mp3?updated=1723791874" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>347: How To Tell Your Story For Career Success</title>
      <description>Kerri Twigg talks with me about her work in helping professionals talk about themselves and tell stories about their passions and professional work to land ideal jobs and propel their career trajectory.

In this episode you will learn:

Kerri at DSGO 2019 [6:09]

Who is Kerri Twigg? [8:00]

A case study from DSGO 2019 [9:51]

How do you build a career story? [18:30]

Kerri’s book and practices [32:35]

How to prepare for interviews [43:22]

3-Parts of a career story [56:53]


Additional materials: www.superdatascience.com/347</description>
      <pubDate>Thu, 12 Mar 2020 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/5cd00f38-1c33-11ef-9765-035944083a58/image/adcb766c0c58f0ae6975d3c7cc031114.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Kerri Twigg talks with me about her work in helping professionals talk about themselves and tell stories about their passions and professional work to land ideal jobs and propel their career trajectory.</itunes:subtitle>
      <itunes:summary>Kerri Twigg talks with me about her work in helping professionals talk about themselves and tell stories about their passions and professional work to land ideal jobs and propel their career trajectory.

In this episode you will learn:

Kerri at DSGO 2019 [6:09]

Who is Kerri Twigg? [8:00]

A case study from DSGO 2019 [9:51]

How do you build a career story? [18:30]

Kerri’s book and practices [32:35]

How to prepare for interviews [43:22]

3-Parts of a career story [56:53]


Additional materials: www.superdatascience.com/347</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Kerri Twigg talks with me about her work in helping professionals talk about themselves and tell stories about their passions and professional work to land ideal jobs and propel their career trajectory.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Kerri at DSGO 2019 [6:09]</li>
<li>Who is Kerri Twigg? [8:00]</li>
<li>A case study from DSGO 2019 [9:51]</li>
<li>How do you build a career story? [18:30]</li>
<li>Kerri’s book and practices [32:35]</li>
<li>How to prepare for interviews [43:22]</li>
<li>3-Parts of a career story [56:53]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/347">www.superdatascience.com/347</a></p>]]>
      </content:encoded>
      <itunes:duration>4113</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/774213040]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7030178404.mp3?updated=1723791851" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>346: My Top 5 Productivity Hacks</title>
      <description>In this FiveMinuteFriday we take a break from our series on the history of data science to discuss productivity and my top 5 hacks for getting more hours out of your day and week.

Additional materials: www.superdatascience.com/346</description>
      <pubDate>Fri, 06 Mar 2020 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/5d8d34b4-1c33-11ef-9765-e7e6980b0641/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this FiveMinuteFriday we take a break from our series on the history of data science to discuss productivity and my top 5 hacks for getting more hours out of your day and week.</itunes:subtitle>
      <itunes:summary>In this FiveMinuteFriday we take a break from our series on the history of data science to discuss productivity and my top 5 hacks for getting more hours out of your day and week.

Additional materials: www.superdatascience.com/346</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this FiveMinuteFriday we take a break from our series on the history of data science to discuss productivity and my top 5 hacks for getting more hours out of your day and week.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/346">www.superdatascience.com/346</a></p>]]>
      </content:encoded>
      <itunes:duration>878</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/771688333]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8042467718.mp3?updated=1723791786" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>345: Machine Learning At Twitter</title>
      <description>I speak with Dan Shiebler who works as a machine learning engineer at Twitter Cortex and at the same time, is doing a Ph.D. on applying category theory in machine learning. We discuss his work at Twitter, the importance of academics, and the future of machine learning.

In this episode you will learn:

What is great about Twitter [5:31]

Dan’s Ph.D. program [9:25]

Dan’s work at Twitter [18:07]

Dan at DSGO 2020 [35:16]

LinkedIn Q&amp;A [40:25]

Dan’s advice [1:03:58]


Additional materials: www.superdatascience.com/345</description>
      <pubDate>Thu, 05 Mar 2020 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/5e5ebd5e-1c33-11ef-9765-dfdd1fa9ff8d/image/14663e516240c252c0cecfc9c0c17f6b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>I speak with Dan Shiebler who works as a machine learning engineer at Twitter Cortex and at the same time, is doing a Ph.D. on applying category theory in machine learning. We discuss his work at Twitter, the importance of academics, and the future of machine learning.</itunes:subtitle>
      <itunes:summary>I speak with Dan Shiebler who works as a machine learning engineer at Twitter Cortex and at the same time, is doing a Ph.D. on applying category theory in machine learning. We discuss his work at Twitter, the importance of academics, and the future of machine learning.

In this episode you will learn:

What is great about Twitter [5:31]

Dan’s Ph.D. program [9:25]

Dan’s work at Twitter [18:07]

Dan at DSGO 2020 [35:16]

LinkedIn Q&amp;A [40:25]

Dan’s advice [1:03:58]


Additional materials: www.superdatascience.com/345</itunes:summary>
      <content:encoded>
        <![CDATA[<p>I speak with Dan Shiebler who works as a machine learning engineer at Twitter Cortex and at the same time, is doing a Ph.D. on applying category theory in machine learning. We discuss his work at Twitter, the importance of academics, and the future of machine learning.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What is great about Twitter [5:31]</li>
<li>Dan’s Ph.D. program [9:25]</li>
<li>Dan’s work at Twitter [18:07]</li>
<li>Dan at DSGO 2020 [35:16]</li>
<li>LinkedIn Q&amp;A [40:25]</li>
<li>Dan’s advice [1:03:58]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/345">www.superdatascience.com/345</a></p>]]>
      </content:encoded>
      <itunes:duration>4328</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/770643814]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7333970560.mp3?updated=1723791761" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>344: History of Data Science - Part 3</title>
      <description>In the third of five episodes in this series, I journey through 2010 into 2015 to look at the boom of self-driving cars, the growth of data science as a profession, and the beginning of educational paths for future data scientists. 

Additional materials: www.superdatascience.com/344</description>
      <pubDate>Fri, 28 Feb 2020 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/5f34211a-1c33-11ef-9765-d7f109a9194e/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In the third of five episodes in this series, I journey through 2010 into 2015 to look at the boom of self-driving cars, the growth of data science as a profession, and the beginning of educational paths for future data scientists. </itunes:subtitle>
      <itunes:summary>In the third of five episodes in this series, I journey through 2010 into 2015 to look at the boom of self-driving cars, the growth of data science as a profession, and the beginning of educational paths for future data scientists. 

Additional materials: www.superdatascience.com/344</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In the third of five episodes in this series, I journey through 2010 into 2015 to look at the boom of self-driving cars, the growth of data science as a profession, and the beginning of educational paths for future data scientists. </p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/344">www.superdatascience.com/344</a></p>]]>
      </content:encoded>
      <itunes:duration>504</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/767905174]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1352935414.mp3?updated=1723791700" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>343: Career Jumpstarts through Data Science Retreat</title>
      <description>I speak with Jose Quesada, founder and CEO of Data Science Retreat about the purpose of his program to help data scientists learn and find jobs through a three-month retreat and portfolio project.

In this episode you will learn:

Overview of Jose’s current projects [5:55] 

"What if I don’t have a tech background?" [09:58]

How does it work? [11:51]

Program structure [21:24]

Tips for picking a portfolio project [26:45]

The program’s next intake [1:03:06]


Additional materials: www.superdatascience.com/343</description>
      <pubDate>Thu, 27 Feb 2020 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/5fdda456-1c33-11ef-9765-fb3e0f0ba5eb/image/a29e50d8bfcaef5e7b62e7a4ef5f168f.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>I speak with Jose Quesada, founder and CEO of Data Science Retreat about the purpose of his program to help data scientists learn and find jobs through a three-month retreat and portfolio project.</itunes:subtitle>
      <itunes:summary>I speak with Jose Quesada, founder and CEO of Data Science Retreat about the purpose of his program to help data scientists learn and find jobs through a three-month retreat and portfolio project.

In this episode you will learn:

Overview of Jose’s current projects [5:55] 

"What if I don’t have a tech background?" [09:58]

How does it work? [11:51]

Program structure [21:24]

Tips for picking a portfolio project [26:45]

The program’s next intake [1:03:06]


Additional materials: www.superdatascience.com/343</itunes:summary>
      <content:encoded>
        <![CDATA[<p>I speak with Jose Quesada, founder and CEO of Data Science Retreat about the purpose of his program to help data scientists learn and find jobs through a three-month retreat and portfolio project.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Overview of Jose’s current projects [5:55] </li>
<li>"What if I don’t have a tech background?" [09:58]</li>
<li>How does it work? [11:51]</li>
<li>Program structure [21:24]</li>
<li>Tips for picking a portfolio project [26:45]</li>
<li>The program’s next intake [1:03:06]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/343">www.superdatascience.com/343</a></p>]]>
      </content:encoded>
      <itunes:duration>4200</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/766985662]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3230534489.mp3?updated=1723791676" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>342: History of Data Science - Part 2</title>
      <description>In the second of five episodes in this series, I take a step into the early 2000s and the true boom of data science as a profession and philosophy of study, as well as look at some of science fiction’s failed hopes for data science by this time.

Additional materials: www.superdatascience.com/342</description>
      <pubDate>Fri, 21 Feb 2020 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/604bd44e-1c33-11ef-9765-73d8440ad9f2/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In the second of five episodes in this series, I take a step into the early 2000s and the true boom of data science as a profession and philosophy of study, as well as look at some of science fiction’s failed hopes for data science by this time.</itunes:subtitle>
      <itunes:summary>In the second of five episodes in this series, I take a step into the early 2000s and the true boom of data science as a profession and philosophy of study, as well as look at some of science fiction’s failed hopes for data science by this time.

Additional materials: www.superdatascience.com/342</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In the second of five episodes in this series, I take a step into the early 2000s and the true boom of data science as a profession and philosophy of study, as well as look at some of science fiction’s failed hopes for data science by this time.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/342">www.superdatascience.com/342</a></p>]]>
      </content:encoded>
      <itunes:duration>535</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/764222272]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2606674842.mp3?updated=1723791611" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>341: Talking Robotics with Brandon Rohrer</title>
      <description>Brandon Rohrer joins me in this special episode about robotics, machine learning, and the merge of software and hardware to create innovative technology for homes around the world.

In this episode you will learn:

Brandon at MIT [7:41]

iRobot [15:14]

Moving from Facebook to iRobot [17:14]

Brandon’s work in iRobot [20:18]

Brandon as a data science influencer [30:08]

Q&amp;A [40:40]


Additional materials: www.superdatascience.com/341</description>
      <pubDate>Thu, 20 Feb 2020 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/60e6dfb6-1c33-11ef-9765-bff759b46bb2/image/455de6be40ddfbdb411431165d2bed17.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Brandon Rohrer joins me in this special episode about robotics, machine learning, and the merge of software and hardware to create innovative technology for homes around the world.</itunes:subtitle>
      <itunes:summary>Brandon Rohrer joins me in this special episode about robotics, machine learning, and the merge of software and hardware to create innovative technology for homes around the world.

In this episode you will learn:

Brandon at MIT [7:41]

iRobot [15:14]

Moving from Facebook to iRobot [17:14]

Brandon’s work in iRobot [20:18]

Brandon as a data science influencer [30:08]

Q&amp;A [40:40]


Additional materials: www.superdatascience.com/341</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Brandon Rohrer joins me in this special episode about robotics, machine learning, and the merge of software and hardware to create innovative technology for homes around the world.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Brandon at MIT [7:41]</li>
<li>iRobot [15:14]</li>
<li>Moving from Facebook to iRobot [17:14]</li>
<li>Brandon’s work in iRobot [20:18]</li>
<li>Brandon as a data science influencer [30:08]</li>
<li>Q&amp;A [40:40]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/341">www.superdatascience.com/341</a></p>]]>
      </content:encoded>
      <itunes:duration>4564</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/763171669]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3243916787.mp3?updated=1723791583" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>340: History of Data Science - Part 1</title>
      <description>In this five-episode series, I dive into the history of data science from the beginning of mathematics to today. In this first episode, we start by looking in the 1950s and go up to the dawn of the 2000s.

Additional materials: www.superdatascience.com/340</description>
      <pubDate>Fri, 14 Feb 2020 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6493e87a-1c33-11ef-9765-6789f7711874/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this five-episode series, I dive into the history of data science from the beginning of mathematics to today. In this first episode, we start by looking in the 1950s and go up to the dawn of the 2000s.</itunes:subtitle>
      <itunes:summary>In this five-episode series, I dive into the history of data science from the beginning of mathematics to today. In this first episode, we start by looking in the 1950s and go up to the dawn of the 2000s.

Additional materials: www.superdatascience.com/340</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this five-episode series, I dive into the history of data science from the beginning of mathematics to today. In this first episode, we start by looking in the 1950s and go up to the dawn of the 2000s.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/340">www.superdatascience.com/340</a></p>]]>
      </content:encoded>
      <itunes:duration>1218</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/760497103]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3717834973.mp3?updated=1723623159" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>339: The Power of Coaching</title>
      <description>I sat down with my coach Ivor Lok to discuss the power and importance of coaching and how everyone can use it in their personal and professional lives to become happier.

In this episode you will learn:

Managing expectations [9:21]

Personal beliefs &amp; parenting [17:42]

Value of having a coach [25:33]

Mindset over skillset [37:24]

Dream lists [51:06]

Ivor’s new projects [1:03:20]


Additional materials: www.superdatascience.com/339</description>
      <pubDate>Thu, 13 Feb 2020 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6c28b7c8-1c33-11ef-9765-47f28af818ec/image/2b454abd62bd3614691ad5cd6c6e85c1.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>I sat down with my coach Ivor Lok to discuss the power and importance of coaching and how everyone can use it in their personal and professional lives to become happier.</itunes:subtitle>
      <itunes:summary>I sat down with my coach Ivor Lok to discuss the power and importance of coaching and how everyone can use it in their personal and professional lives to become happier.

In this episode you will learn:

Managing expectations [9:21]

Personal beliefs &amp; parenting [17:42]

Value of having a coach [25:33]

Mindset over skillset [37:24]

Dream lists [51:06]

Ivor’s new projects [1:03:20]


Additional materials: www.superdatascience.com/339</itunes:summary>
      <content:encoded>
        <![CDATA[<p>I sat down with my coach Ivor Lok to discuss the power and importance of coaching and how everyone can use it in their personal and professional lives to become happier.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Managing expectations [9:21]</li>
<li>Personal beliefs &amp; parenting [17:42]</li>
<li>Value of having a coach [25:33]</li>
<li>Mindset over skillset [37:24]</li>
<li>Dream lists [51:06]</li>
<li>Ivor’s new projects [1:03:20]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/339">www.superdatascience.com/339</a></p>]]>
      </content:encoded>
      <itunes:duration>5135</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/759297226]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5817628438.mp3?updated=1723623132" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>338: Too Many Photos</title>
      <description>I discuss an observation I had recently about how many photos we take, and how much we miss out on by focusing on capturing a moment rather than living it.

Additional materials: www.superdatascience.com/338</description>
      <pubDate>Fri, 07 Feb 2020 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6e1b4852-1c33-11ef-9765-6789d4bcb5b6/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>I discuss an observation I had recently about how many photos we take, and how much we miss out on by focusing on capturing a moment rather than living it.</itunes:subtitle>
      <itunes:summary>I discuss an observation I had recently about how many photos we take, and how much we miss out on by focusing on capturing a moment rather than living it.

Additional materials: www.superdatascience.com/338</itunes:summary>
      <content:encoded>
        <![CDATA[<p>I discuss an observation I had recently about how many photos we take, and how much we miss out on by focusing on capturing a moment rather than living it.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/338">www.superdatascience.com/338</a></p>]]>
      </content:encoded>
      <itunes:duration>333</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/756543691]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3409983863.mp3?updated=1723623068" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>337: Hadley Wickham Talks Integration and Future of R and Python</title>
      <description>Hadley Wickham, a huge presence in data science, sits down to talk about R, Python, and the future of potential integrations, as well as some Q&amp;A with our listeners through LinkedIn about programming languages and how to make data science accessible for all.

In this episode you will learn:

Hadley’s R packages [8:26]

Better integrations between R and Python [20:11]

LinkedIn Q&amp;A [33:34]

useR Conference vs. RStudio Conference [50:46]

LinkedIn Q&amp;A: Career-related questions [1:01:06]

LinkedIn Q&amp;A: Future-related questions [1:08:01]


Additional materials: www.superdatascience.com/337</description>
      <pubDate>Thu, 06 Feb 2020 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6ee7e722-1c33-11ef-9765-eb635fef63df/image/b9503ae5ee152e273fe1406fb4b9346f.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Hadley Wickham, a huge presence in data science, sits down to talk about R, Python, and the future of potential integrations, as well as some Q&amp;A with our listeners through LinkedIn about programming languages and how to make data science accessible for all.</itunes:subtitle>
      <itunes:summary>Hadley Wickham, a huge presence in data science, sits down to talk about R, Python, and the future of potential integrations, as well as some Q&amp;A with our listeners through LinkedIn about programming languages and how to make data science accessible for all.

In this episode you will learn:

Hadley’s R packages [8:26]

Better integrations between R and Python [20:11]

LinkedIn Q&amp;A [33:34]

useR Conference vs. RStudio Conference [50:46]

LinkedIn Q&amp;A: Career-related questions [1:01:06]

LinkedIn Q&amp;A: Future-related questions [1:08:01]


Additional materials: www.superdatascience.com/337</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Hadley Wickham, a huge presence in data science, sits down to talk about R, Python, and the future of potential integrations, as well as some Q&amp;A with our listeners through LinkedIn about programming languages and how to make data science accessible for all.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Hadley’s R packages [8:26]</li>
<li>Better integrations between R and Python [20:11]</li>
<li>LinkedIn Q&amp;A [33:34]</li>
<li>useR Conference vs. RStudio Conference [50:46]</li>
<li>LinkedIn Q&amp;A: Career-related questions [1:01:06]</li>
<li>LinkedIn Q&amp;A: Future-related questions [1:08:01]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/337">www.superdatascience.com/337</a></p>]]>
      </content:encoded>
      <itunes:duration>4475</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/755409307]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3018542456.mp3?updated=1723623040" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>336: Better Than Perfect</title>
      <description>I discuss something that popped up for me recently: is it better to have something finished or to have something be perfect? I explore the answer and what it can mean for you in your life.

Additional materials: www.superdatascience.com/336</description>
      <pubDate>Fri, 31 Jan 2020 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6f513a38-1c33-11ef-9765-a7828a062ed2/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>I discuss something that popped up for me recently: is it better to have something finished or to have something be perfect? I explore the answer and what it can mean for you in your life.</itunes:subtitle>
      <itunes:summary>I discuss something that popped up for me recently: is it better to have something finished or to have something be perfect? I explore the answer and what it can mean for you in your life.

Additional materials: www.superdatascience.com/336</itunes:summary>
      <content:encoded>
        <![CDATA[<p>I discuss something that popped up for me recently: is it better to have something finished or to have something be perfect? I explore the answer and what it can mean for you in your life.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/336">www.superdatascience.com/336</a></p>]]>
      </content:encoded>
      <itunes:duration>590</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/752661877]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7387662430.mp3?updated=1723622979" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>335: Many Ways to Fail &amp; Five Ways to Succeed in Startups</title>
      <description>Rico Meinl failed when he tried to make a successful startup. He learned a lot from it and shared his story and learnings for nearly 2 hours in one of our longest and most insightful podcasts to date.

In this episode you will learn:

Rico at DSGO [8:50]

Dresswell [17:10]

B2B vs B2C in startups [34:03]

Rico's 5 learnings [53:25]

Learning no. 1 [53:54]

Learning no. 2 [56:33]

Learning no. 3 [1:10:43]

Learning no. 4 [1:24:08]

Learning no. 5 [1:34:02]

Rico’s next steps [1:45:35]


Additional materials: www.superdatascience.com/335</description>
      <pubDate>Thu, 30 Jan 2020 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6fbef866-1c33-11ef-9765-1fa0a105762e/image/0343d7fa6903a3cfd615304ce504277f.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Rico Meinl failed when he tried to make a successful startup. He learned a lot from it and shared his story and learnings for nearly 2 hours in one of our longest and most insightful podcasts to date.</itunes:subtitle>
      <itunes:summary>Rico Meinl failed when he tried to make a successful startup. He learned a lot from it and shared his story and learnings for nearly 2 hours in one of our longest and most insightful podcasts to date.

In this episode you will learn:

Rico at DSGO [8:50]

Dresswell [17:10]

B2B vs B2C in startups [34:03]

Rico's 5 learnings [53:25]

Learning no. 1 [53:54]

Learning no. 2 [56:33]

Learning no. 3 [1:10:43]

Learning no. 4 [1:24:08]

Learning no. 5 [1:34:02]

Rico’s next steps [1:45:35]


Additional materials: www.superdatascience.com/335</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Rico Meinl failed when he tried to make a successful startup. He learned a lot from it and shared his story and learnings for nearly 2 hours in one of our longest and most insightful podcasts to date.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Rico at DSGO [8:50]</li>
<li>Dresswell [17:10]</li>
<li>B2B vs B2C in startups [34:03]</li>
<li>Rico's 5 learnings [53:25]</li>
<li>Learning no. 1 [53:54]</li>
<li>Learning no. 2 [56:33]</li>
<li>Learning no. 3 [1:10:43]</li>
<li>Learning no. 4 [1:24:08]</li>
<li>Learning no. 5 [1:34:02]</li>
<li>Rico’s next steps [1:45:35]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/335">www.superdatascience.com/335</a></p>]]>
      </content:encoded>
      <itunes:duration>6768</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/751485673]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5268011881.mp3?updated=1748339178" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>334: No Coaching</title>
      <description>I return to the concept of no coaching in more detail and discuss how I recently had a good conversation with a friend without giving advice but offering empathy.

Additional materials: www.superdatascience.com/334</description>
      <pubDate>Fri, 24 Jan 2020 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/703f09ac-1c33-11ef-9765-7b1657cb2a47/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>I return to the concept of no coaching in more detail and discuss how I recently had a good conversation with a friend without giving advice but offering empathy.</itunes:subtitle>
      <itunes:summary>I return to the concept of no coaching in more detail and discuss how I recently had a good conversation with a friend without giving advice but offering empathy.

Additional materials: www.superdatascience.com/334</itunes:summary>
      <content:encoded>
        <![CDATA[<p>I return to the concept of no coaching in more detail and discuss how I recently had a good conversation with a friend without giving advice but offering empathy.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/334">www.superdatascience.com/334</a></p>]]>
      </content:encoded>
      <itunes:duration>1094</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/748675405]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6969166160.mp3?updated=1723622887" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>333: BERT and NLP in 2020 and Beyond</title>
      <description>Sinan Ozdemir is back again, this time talking about his work since his company Kylie.ai was acquired by Directly. We discuss his work, the way he is creating human and AI synergy and the future of NLP as it continues to progress.

In this episode you will learn:

Sinan’s company acquired [7:29]

Explainable deep learning models [16:13]

Airbnb case study [19:42]

Microsoft case study [22:25]

Sinan’s role at Directly [25:57]

Work with Sinan [32:57]

Preview of Sinan at DSGO [38:38]

BERT [43:18]

Sinan’s prediction for NLP in 2020 [53:17]


Additional materials: www.superdatascience.com/333</description>
      <pubDate>Thu, 23 Jan 2020 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/70b2543e-1c33-11ef-9765-63dc444df69e/image/2f318cdfb79605e19ef0cfdeeb52f68c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Sinan Ozdemir is back again, this time talking about his work since his company Kylie.ai was acquired by Directly. We discuss his work, the way he is creating human and AI synergy and the future of NLP as it continues to progress.</itunes:subtitle>
      <itunes:summary>Sinan Ozdemir is back again, this time talking about his work since his company Kylie.ai was acquired by Directly. We discuss his work, the way he is creating human and AI synergy and the future of NLP as it continues to progress.

In this episode you will learn:

Sinan’s company acquired [7:29]

Explainable deep learning models [16:13]

Airbnb case study [19:42]

Microsoft case study [22:25]

Sinan’s role at Directly [25:57]

Work with Sinan [32:57]

Preview of Sinan at DSGO [38:38]

BERT [43:18]

Sinan’s prediction for NLP in 2020 [53:17]


Additional materials: www.superdatascience.com/333</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Sinan Ozdemir is back again, this time talking about his work since his company Kylie.ai was acquired by Directly. We discuss his work, the way he is creating human and AI synergy and the future of NLP as it continues to progress.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Sinan’s company acquired [7:29]</li>
<li>Explainable deep learning models [16:13]</li>
<li>Airbnb case study [19:42]</li>
<li>Microsoft case study [22:25]</li>
<li>Sinan’s role at Directly [25:57]</li>
<li>Work with Sinan [32:57]</li>
<li>Preview of Sinan at DSGO [38:38]</li>
<li>BERT [43:18]</li>
<li>Sinan’s prediction for NLP in 2020 [53:17]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/333">www.superdatascience.com/333</a></p>]]>
      </content:encoded>
      <itunes:duration>3892</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/747581587]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9821855886.mp3?updated=1723622860" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>332: Go through the Motions</title>
      <description>I discuss the concept of putting yourself on autopilot and powering through getting work done when you feel like giving up.

Additional materials: www.superdatascience.com/332</description>
      <pubDate>Fri, 17 Jan 2020 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7120d008-1c33-11ef-9765-9fdbeb6bac5b/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>I discuss the concept of putting yourself on autopilot and powering through getting work done when you feel like giving up.</itunes:subtitle>
      <itunes:summary>I discuss the concept of putting yourself on autopilot and powering through getting work done when you feel like giving up.

Additional materials: www.superdatascience.com/332</itunes:summary>
      <content:encoded>
        <![CDATA[<p>I discuss the concept of putting yourself on autopilot and powering through getting work done when you feel like giving up.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/332">www.superdatascience.com/332</a></p>]]>
      </content:encoded>
      <itunes:duration>544</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/744856960]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6404984056.mp3?updated=1723622786" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>331: Hacking Data Science Interviews for Graduates</title>
      <description>Harshal Sanap talks about how he took himself from a data science student and graduate to a full time professional in data science and shares mistakes to avoid to get started in your career.

In this episode you will learn:

Harshal at DSGO [8:12]

Harshal’s first data science job [16:01]

The process of getting your first job [21:25]

3 steps to data science job search [23:37]

4 tips on how to apply for jobs [36:59]

5 tips on how to prepare for an interview [53:21]

5 mistakes to avoid [1:10:31]


Additional materials: www.superdatascience.com/331</description>
      <pubDate>Thu, 16 Jan 2020 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/718dc1a4-1c33-11ef-9765-9707afd6e7d6/image/9665a5094fab2191c00f6fc001683bff.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Harshal Sanap talks about how he took himself from a data science student and graduate to a full time professional in data science and shares mistakes to avoid to get started in your career.</itunes:subtitle>
      <itunes:summary>Harshal Sanap talks about how he took himself from a data science student and graduate to a full time professional in data science and shares mistakes to avoid to get started in your career.

In this episode you will learn:

Harshal at DSGO [8:12]

Harshal’s first data science job [16:01]

The process of getting your first job [21:25]

3 steps to data science job search [23:37]

4 tips on how to apply for jobs [36:59]

5 tips on how to prepare for an interview [53:21]

5 mistakes to avoid [1:10:31]


Additional materials: www.superdatascience.com/331</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Harshal Sanap talks about how he took himself from a data science student and graduate to a full time professional in data science and shares mistakes to avoid to get started in your career.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Harshal at DSGO [8:12]</li>
<li>Harshal’s first data science job [16:01]</li>
<li>The process of getting your first job [21:25]</li>
<li>3 steps to data science job search [23:37]</li>
<li>4 tips on how to apply for jobs [36:59]</li>
<li>5 tips on how to prepare for an interview [53:21]</li>
<li>5 mistakes to avoid [1:10:31]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/331">www.superdatascience.com/331</a></p>]]>
      </content:encoded>
      <itunes:duration>5468</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/743773255]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5870634012.mp3?updated=1723622761" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>330: Good!</title>
      <description>I discuss finding the good in something that is objectively not so good and how you can take setbacks as a learning experience and challenge.

Additional materials: www.superdatascience.com/330</description>
      <pubDate>Fri, 10 Jan 2020 14:15:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/71fb9d00-1c33-11ef-9765-d3bbf531b242/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>I discuss finding the good in something that is objectively not so good and how you can take setbacks as a learning experience and challenge.</itunes:subtitle>
      <itunes:summary>I discuss finding the good in something that is objectively not so good and how you can take setbacks as a learning experience and challenge.

Additional materials: www.superdatascience.com/330</itunes:summary>
      <content:encoded>
        <![CDATA[<p>I discuss finding the good in something that is objectively not so good and how you can take setbacks as a learning experience and challenge.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/330">www.superdatascience.com/330</a></p>]]>
      </content:encoded>
      <itunes:duration>511</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/741313321]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4376346365.mp3?updated=1723621978" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>329: Telling a Story Right with Data</title>
      <description>Isaac Reyes talks about his approach to data visualization. We dive into the science behind it, the psychology, and the needs in businesses for proper and informed data storytelling.

In this episode you will learn:

Catching up with Isaac [6:37]

StoryIQ's office in Manila [10:04]

What is data storytelling? [12:29]

The keys to data storytelling [15:47]

Second key to data storytelling [18:36]

Third key to data storytelling [21:35]

Elementary Perceptual Tasks Scale [24:10]

Gestalt principles [38:56]

How does StoryIQ teach this? [48:35]

Fourth key to data storytelling [49:20]


Additional materials: www.superdatascience.com/329</description>
      <pubDate>Thu, 09 Jan 2020 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7274f29a-1c33-11ef-9765-bf4c28c037bf/image/a2c80243b22408e4cc0cce618876becc.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Isaac Reyes talks about his approach to data visualization. We dive into the science behind it, the psychology, and the needs in businesses for proper and informed data storytelling.</itunes:subtitle>
      <itunes:summary>Isaac Reyes talks about his approach to data visualization. We dive into the science behind it, the psychology, and the needs in businesses for proper and informed data storytelling.

In this episode you will learn:

Catching up with Isaac [6:37]

StoryIQ's office in Manila [10:04]

What is data storytelling? [12:29]

The keys to data storytelling [15:47]

Second key to data storytelling [18:36]

Third key to data storytelling [21:35]

Elementary Perceptual Tasks Scale [24:10]

Gestalt principles [38:56]

How does StoryIQ teach this? [48:35]

Fourth key to data storytelling [49:20]


Additional materials: www.superdatascience.com/329</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Isaac Reyes talks about his approach to data visualization. We dive into the science behind it, the psychology, and the needs in businesses for proper and informed data storytelling.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Catching up with Isaac [6:37]</li>
<li>StoryIQ's office in Manila [10:04]</li>
<li>What is data storytelling? [12:29]</li>
<li>The keys to data storytelling [15:47]</li>
<li>Second key to data storytelling [18:36]</li>
<li>Third key to data storytelling [21:35]</li>
<li>Elementary Perceptual Tasks Scale [24:10]</li>
<li>Gestalt principles [38:56]</li>
<li>How does StoryIQ teach this? [48:35]</li>
<li>Fourth key to data storytelling [49:20]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/329">www.superdatascience.com/329</a></p>]]>
      </content:encoded>
      <itunes:duration>3878</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/740132404]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4883009076.mp3?updated=1723621949" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>328: Look for the Horse</title>
      <description>In this week’s FiveMinuteFriday, I wish you all a happy New Year with an interesting story about having the choice to see the best in situations or see the worst in them. 

Additional materials: www.superdatascience.com/328</description>
      <pubDate>Fri, 03 Jan 2020 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/72e4ebc2-1c33-11ef-9765-77edcbeebd7c/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this week’s FiveMinuteFriday, I wish you all a happy New Year with an interesting story about having the choice to see the best in situations or see the worst in them. </itunes:subtitle>
      <itunes:summary>In this week’s FiveMinuteFriday, I wish you all a happy New Year with an interesting story about having the choice to see the best in situations or see the worst in them. 

Additional materials: www.superdatascience.com/328</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this week’s FiveMinuteFriday, I wish you all a happy New Year with an interesting story about having the choice to see the best in situations or see the worst in them. </p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/328">www.superdatascience.com/328</a></p>]]>
      </content:encoded>
      <itunes:duration>269</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/737791474]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1362163985.mp3?updated=1723621827" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>327: Data Science Trends for 2020</title>
      <description>Hadelin and I outlined our top 5 trends in Data Science for 2020. We discussed why they’re hot topics and how companies can utilize them to drive profit and efficiency in the coming year.

In this episode you will learn:

The decade in review [1:45]

A decade preview [5:20]

2020 trends webinar [7:30]

Robotic process automation [9:00]

Natural language processing [18:28]

Reinforcement learning [26:35]

Edge computing [37:25]

Open source AI frameworks [52:02]


Additional materials: www.superdatascience.com/327</description>
      <pubDate>Thu, 02 Jan 2020 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/735ee1c0-1c33-11ef-9765-e3b83a940c02/image/b741c4b0e26abf982b8e6425cf9585df.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Hadelin and I outlined our top 5 trends in Data Science for 2020. We discussed why they’re hot topics and how companies can utilize them to drive profit and efficiency in the coming year.</itunes:subtitle>
      <itunes:summary>Hadelin and I outlined our top 5 trends in Data Science for 2020. We discussed why they’re hot topics and how companies can utilize them to drive profit and efficiency in the coming year.

In this episode you will learn:

The decade in review [1:45]

A decade preview [5:20]

2020 trends webinar [7:30]

Robotic process automation [9:00]

Natural language processing [18:28]

Reinforcement learning [26:35]

Edge computing [37:25]

Open source AI frameworks [52:02]


Additional materials: www.superdatascience.com/327</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Hadelin and I outlined our top 5 trends in Data Science for 2020. We discussed why they’re hot topics and how companies can utilize them to drive profit and efficiency in the coming year.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>The decade in review [1:45]</li>
<li>A decade preview [5:20]</li>
<li>2020 trends webinar [7:30]</li>
<li>Robotic process automation [9:00]</li>
<li>Natural language processing [18:28]</li>
<li>Reinforcement learning [26:35]</li>
<li>Edge computing [37:25]</li>
<li>Open source AI frameworks [52:02]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/327">www.superdatascience.com/327</a></p>]]>
      </content:encoded>
      <itunes:duration>4088</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/735817618]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7425626664.mp3?updated=1723621801" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>326: Who Inspires You?</title>
      <description>This week’s FiveMinuteFriday and final episode of 2019 is about who inspires you and how it may be those closest to you without you even realizing it.

Additional materials: www.superdatascience.com/326</description>
      <pubDate>Fri, 27 Dec 2019 13:01:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/73c8df8a-1c33-11ef-9765-5be738bb2773/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>This week’s FiveMinuteFriday and final episode of 2019 is about who inspires you and how it may be those closest to you without you even realizing it.</itunes:subtitle>
      <itunes:summary>This week’s FiveMinuteFriday and final episode of 2019 is about who inspires you and how it may be those closest to you without you even realizing it.

Additional materials: www.superdatascience.com/326</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week’s FiveMinuteFriday and final episode of 2019 is about who inspires you and how it may be those closest to you without you even realizing it.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/326">www.superdatascience.com/326</a></p>]]>
      </content:encoded>
      <itunes:duration>309</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/734476210]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3027485060.mp3?updated=1723621714" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>325: What I Learned in 2019</title>
      <description>I went over the 7 top learnings I took from this exciting year of ups, downs, and incredible adventures and explorations.

In this episode you will learn:

Dichotomies [6:18]

F*ck FOMO [19:00]

Full circle stress [27:23]

Letting doors close [38:57]

Managing my energy as an introvert [45:00]

No coaching [56:15]

Feelings [1:03:38]


Additional materials: www.superdatascience.com/325</description>
      <pubDate>Thu, 26 Dec 2019 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7434489c-1c33-11ef-9765-f3e72c8e5f99/image/23b58570d1a42947c0a9a9182ce357da.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>I went over the 7 top learnings I took from this exciting year of ups, downs, and incredible adventures and explorations.</itunes:subtitle>
      <itunes:summary>I went over the 7 top learnings I took from this exciting year of ups, downs, and incredible adventures and explorations.

In this episode you will learn:

Dichotomies [6:18]

F*ck FOMO [19:00]

Full circle stress [27:23]

Letting doors close [38:57]

Managing my energy as an introvert [45:00]

No coaching [56:15]

Feelings [1:03:38]


Additional materials: www.superdatascience.com/325</itunes:summary>
      <content:encoded>
        <![CDATA[<p>I went over the 7 top learnings I took from this exciting year of ups, downs, and incredible adventures and explorations.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Dichotomies [6:18]</li>
<li>F*ck FOMO [19:00]</li>
<li>Full circle stress [27:23]</li>
<li>Letting doors close [38:57]</li>
<li>Managing my energy as an introvert [45:00]</li>
<li>No coaching [56:15]</li>
<li>Feelings [1:03:38]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/325">www.superdatascience.com/325</a></p>]]>
      </content:encoded>
      <itunes:duration>4466</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/733785292]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3794318387.mp3?updated=1723621732" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>324: Proximity is Power #2</title>
      <description>In this week’s FiveMinuteFriday, Vitaly and I talked more about a familiar topic: proximity is power. We discussed the importance of connection, how to not saturate, and how to decide with whom you spend your time.

Additional materials: www.superdatascience.com/324</description>
      <pubDate>Fri, 20 Dec 2019 13:01:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/74a02e4a-1c33-11ef-9765-638501e40a38/image/b8a68dd029d8eba6a85bb42580b3ff18.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this week’s FiveMinuteFriday, Vitaly and I talked more about a familiar topic: proximity is power. We discussed the importance of connection, how to not saturate, and how to decide with whom you spend your time.</itunes:subtitle>
      <itunes:summary>In this week’s FiveMinuteFriday, Vitaly and I talked more about a familiar topic: proximity is power. We discussed the importance of connection, how to not saturate, and how to decide with whom you spend your time.

Additional materials: www.superdatascience.com/324</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this week’s FiveMinuteFriday, Vitaly and I talked more about a familiar topic: proximity is power. We discussed the importance of connection, how to not saturate, and how to decide with whom you spend your time.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/324">www.superdatascience.com/324</a></p>]]>
      </content:encoded>
      <itunes:duration>1799</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/731306581]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9154832844.mp3?updated=1723621630" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>323: Data Science as a Freelance Career</title>
      <description>I chatted with top Upwork freelancer Wesley Engers who has worked over 150 jobs in data science. He’s worked in a variety of industries and shared a few of his most interesting jobs and offered advice for those considering diving into freelance data science work.

In this episode you will learn:

Wesley on Upwork [9:11]

Wesley’s background [16:20]

How Wesley onboards a client [26:32]

Good clients vs. bad clients [31:12]

Tools [37:23]• Wesley’s best projects [45:09]

Freelance vs. full-time work [59:26]

Tips about getting into Upwork [1:06:48]


Additional materials: www.superdatascience.com/323</description>
      <pubDate>Thu, 19 Dec 2019 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/750e2e36-1c33-11ef-9765-1fa86c86836f/image/6c9b5383738d3bc9b8c38c0ee3c942df.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>I chatted with top Upwork freelancer Wesley Engers who has worked over 150 jobs in data science. He’s worked in a variety of industries and shared a few of his most interesting jobs and offered advice for those considering diving into freelance data science work.</itunes:subtitle>
      <itunes:summary>I chatted with top Upwork freelancer Wesley Engers who has worked over 150 jobs in data science. He’s worked in a variety of industries and shared a few of his most interesting jobs and offered advice for those considering diving into freelance data science work.

In this episode you will learn:

Wesley on Upwork [9:11]

Wesley’s background [16:20]

How Wesley onboards a client [26:32]

Good clients vs. bad clients [31:12]

Tools [37:23]• Wesley’s best projects [45:09]

Freelance vs. full-time work [59:26]

Tips about getting into Upwork [1:06:48]


Additional materials: www.superdatascience.com/323</itunes:summary>
      <content:encoded>
        <![CDATA[<p>I chatted with top Upwork freelancer Wesley Engers who has worked over 150 jobs in data science. He’s worked in a variety of industries and shared a few of his most interesting jobs and offered advice for those considering diving into freelance data science work.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>Wesley on Upwork [9:11]</li>
<li>Wesley’s background [16:20]</li>
<li>How Wesley onboards a client [26:32]</li>
<li>Good clients vs. bad clients [31:12]</li>
<li>Tools [37:23]• Wesley’s best projects [45:09]</li>
<li>Freelance vs. full-time work [59:26]</li>
<li>Tips about getting into Upwork [1:06:48]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/323">www.superdatascience.com/323</a></p>]]>
      </content:encoded>
      <itunes:duration>4481</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/729963745]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1724179718.mp3?updated=1723622610" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>322: Diets</title>
      <description>In this week’s FiveMinuteFriday we are with Vitaly and Hadelin again and we are discussing our diets and how we maintain feeling healthy and good through food intake.

Additional materials: www.superdatascience.com/322</description>
      <pubDate>Fri, 13 Dec 2019 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7582c0fc-1c33-11ef-9765-ffd4335802b0/image/ae8e10992c7349853072d62498336f65.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this week’s FiveMinuteFriday we are with Vitaly and Hadelin again and we are discussing our diets and how we maintain feeling healthy and good through food intake.</itunes:subtitle>
      <itunes:summary>In this week’s FiveMinuteFriday we are with Vitaly and Hadelin again and we are discussing our diets and how we maintain feeling healthy and good through food intake.

Additional materials: www.superdatascience.com/322</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this week’s FiveMinuteFriday we are with Vitaly and Hadelin again and we are discussing our diets and how we maintain feeling healthy and good through food intake.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/322">www.superdatascience.com/322</a></p>]]>
      </content:encoded>
      <itunes:duration>1425</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/727246912]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4340916509.mp3?updated=1723621515" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>321: The Life of One Advanced Data Scientist</title>
      <description>I sat down with Morgan Mendis whom I met at DSGO this year. He is one of the most advanced data scientists I’ve met and he’s been using his skills and experience to give back to his community. We discuss his career, his dreams, his ideology, and his hunt for a VP of Data Science at his former company.

In this episode you will hear:

Catch up since DSGO 2019 [8:04]

VP of Data Science at Inspire [12:00]

Morgan’s career dreams [22:04]

Morgan’s experience [30:50]

Tools &amp; solutions [1:01:33]

How you can get involved [1:12:45]


Additional materials: www.superdatascience.com/321</description>
      <pubDate>Thu, 12 Dec 2019 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/75f29472-1c33-11ef-9765-4f38bf4233f5/image/b87a5f0162b3be9a2b022f85cd3660b2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>I sat down with Morgan Mendis whom I met at DSGO this year. He is one of the most advanced data scientists I’ve met and he’s been using his skills and experience to give back to his community. We discuss his career, his dreams, his ideology, and his hunt for a VP of Data Science at his former company.</itunes:subtitle>
      <itunes:summary>I sat down with Morgan Mendis whom I met at DSGO this year. He is one of the most advanced data scientists I’ve met and he’s been using his skills and experience to give back to his community. We discuss his career, his dreams, his ideology, and his hunt for a VP of Data Science at his former company.

In this episode you will hear:

Catch up since DSGO 2019 [8:04]

VP of Data Science at Inspire [12:00]

Morgan’s career dreams [22:04]

Morgan’s experience [30:50]

Tools &amp; solutions [1:01:33]

How you can get involved [1:12:45]


Additional materials: www.superdatascience.com/321</itunes:summary>
      <content:encoded>
        <![CDATA[<p>I sat down with Morgan Mendis whom I met at DSGO this year. He is one of the most advanced data scientists I’ve met and he’s been using his skills and experience to give back to his community. We discuss his career, his dreams, his ideology, and his hunt for a VP of Data Science at his former company.</p><p><br></p><p>In this episode you will hear:</p><ul>
<li>Catch up since DSGO 2019 [8:04]</li>
<li>VP of Data Science at Inspire [12:00]</li>
<li>Morgan’s career dreams [22:04]</li>
<li>Morgan’s experience [30:50]</li>
<li>Tools &amp; solutions [1:01:33]</li>
<li>How you can get involved [1:12:45]</li>
</ul><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/321">www.superdatascience.com/321</a></p>]]>
      </content:encoded>
      <itunes:duration>4845</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/726208540]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4829307085.mp3?updated=1723621478" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>320: Mentorship</title>
      <description>In this week’s FiveMinuteFriday I sat down with Vitaly and Hadelin to discuss the concept of mentorship and how we work through our professional and personal hurdles with mentors.

Additional materials: www.superdatascience.com/320</description>
      <pubDate>Fri, 06 Dec 2019 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/76567406-1c33-11ef-9765-475e44735d06/image/ae8e10992c7349853072d62498336f65.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this week’s FiveMinuteFriday I sat down with Vitaly and Hadelin to discuss the concept of mentorship and how we work through our professional and personal hurdles with mentors.</itunes:subtitle>
      <itunes:summary>In this week’s FiveMinuteFriday I sat down with Vitaly and Hadelin to discuss the concept of mentorship and how we work through our professional and personal hurdles with mentors.

Additional materials: www.superdatascience.com/320</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this week’s FiveMinuteFriday I sat down with Vitaly and Hadelin to discuss the concept of mentorship and how we work through our professional and personal hurdles with mentors.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/320">www.superdatascience.com/320</a></p>]]>
      </content:encoded>
      <itunes:duration>2241</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/723600712]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5889354025.mp3?updated=1723531152" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>319: The Path to Data Visualization</title>
      <description>I sat down with Jonathan and Ogo, two DataScienceGO attendees, who are experts in the field of data visualization. Their methods and backgrounds differ but ultimately they believe in the same goal: telling a meaningful story.

Additional materials: www.superdatascience.com/319</description>
      <pubDate>Thu, 05 Dec 2019 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/76e968ba-1c33-11ef-9765-2f7fbeb7eb52/image/715b3cef072a8579dba9f342007e089d.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>I sat down with Jonathan and Ogo, two DataScienceGO attendees, who are experts in the field of data visualization. Their methods and backgrounds differ but ultimately they believe in the same goal: telling a meaningful story.</itunes:subtitle>
      <itunes:summary>I sat down with Jonathan and Ogo, two DataScienceGO attendees, who are experts in the field of data visualization. Their methods and backgrounds differ but ultimately they believe in the same goal: telling a meaningful story.

Additional materials: www.superdatascience.com/319</itunes:summary>
      <content:encoded>
        <![CDATA[<p>I sat down with Jonathan and Ogo, two DataScienceGO attendees, who are experts in the field of data visualization. Their methods and backgrounds differ but ultimately they believe in the same goal: telling a meaningful story.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/319">www.superdatascience.com/319</a></p>]]>
      </content:encoded>
      <itunes:duration>4723</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/722632585]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8960690390.mp3?updated=1723531120" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>318: Amazing</title>
      <description>In this week’s FiveMinuteFriday I discuss the concept of “fake it until you become it” and use of the word “amazing” when thinking about your current state and when people ask how you are.

Additional materials: www.superdatascience.com/318</description>
      <pubDate>Fri, 29 Nov 2019 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/775d903c-1c33-11ef-9765-036cce4fe33f/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this week’s FiveMinuteFriday I discuss the concept of “fake it until you become it” and use of the word “amazing” when thinking about your current state and when people ask how you are.</itunes:subtitle>
      <itunes:summary>In this week’s FiveMinuteFriday I discuss the concept of “fake it until you become it” and use of the word “amazing” when thinking about your current state and when people ask how you are.

Additional materials: www.superdatascience.com/318</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this week’s FiveMinuteFriday I discuss the concept of “fake it until you become it” and use of the word “amazing” when thinking about your current state and when people ask how you are.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/318">www.superdatascience.com/318</a></p>]]>
      </content:encoded>
      <itunes:duration>560</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/720217570]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8194588258.mp3?updated=1723531096" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>317: A Deep Dive Into Neural Nets</title>
      <description>An incredible young guest is in this episode after he attended DSGO. Edis is a 15-year-old, building his own neural networks. We discussed his background, his process of building neural networks from scratch, Kaggle competitions, and the benefit of online data science education.

Additional materials: www.superdatascience.com/317</description>
      <pubDate>Thu, 28 Nov 2019 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/77cb7b10-1c33-11ef-9765-1b291877c8fe/image/390af628eda4eb84893daf1b37e21ee9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>An incredible young guest is in this episode after he attended DSGO. Edis is a 15-year-old, building his own neural networks. We discussed his background, his process of building neural networks from scratch, Kaggle competitions, and the benefit of online data science education.</itunes:subtitle>
      <itunes:summary>An incredible young guest is in this episode after he attended DSGO. Edis is a 15-year-old, building his own neural networks. We discussed his background, his process of building neural networks from scratch, Kaggle competitions, and the benefit of online data science education.

Additional materials: www.superdatascience.com/317</itunes:summary>
      <content:encoded>
        <![CDATA[<p>An incredible young guest is in this episode after he attended DSGO. Edis is a 15-year-old, building his own neural networks. We discussed his background, his process of building neural networks from scratch, Kaggle competitions, and the benefit of online data science education.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/podcast/a-deep-dive-into-neural-nets">www.superdatascience.com/317</a></p>]]>
      </content:encoded>
      <itunes:duration>3756</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/719136787]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4527666509.mp3?updated=1723531072" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>316: Make It About Yourself</title>
      <description>In this week’s FiveMinuteFriday I discuss how best to handle disagreements by keeping your focus on yourself and your own actions.

Additional materials: www.superdatascience.com/316</description>
      <pubDate>Fri, 22 Nov 2019 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/78399b0e-1c33-11ef-9765-e733000e2299/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this week’s FiveMinuteFriday I discuss how best to handle disagreements by keeping your focus on yourself and your own actions.</itunes:subtitle>
      <itunes:summary>In this week’s FiveMinuteFriday I discuss how best to handle disagreements by keeping your focus on yourself and your own actions.

Additional materials: www.superdatascience.com/316</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this week’s FiveMinuteFriday I discuss how best to handle disagreements by keeping your focus on yourself and your own actions.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/316">www.superdatascience.com/316</a></p>]]>
      </content:encoded>
      <itunes:duration>635</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/716797000]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9473902588.mp3?updated=1723531043" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>315: Making Data Accessible</title>
      <description>Back by popular demand is Gabriela de Queiroz to discuss various data accessibility issues and how her work, talks, and organizations are working to make data science and AI more available across the board.

In this episode you will learn:

What’s new with Gabriela [7:14]

How does Gabriela find the time? [10:50]

Gabriela at DSGO [16:45]

IBM’s Data Asset Exchange [27:48]

What is Docker? [44:32]

Gabriela’s code background &amp; team [46:34]

R-Ladies [54:50]



Additional materials: www.superdatascience.com/315</description>
      <pubDate>Thu, 21 Nov 2019 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/78b06752-1c33-11ef-9765-e773292f2755/image/471fbbfc31cdcd93385af500911f5a41.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Back by popular demand is Gabriela de Queiroz to discuss various data accessibility issues and how her work, talks, and organizations are working to make data science and AI more available across the board.</itunes:subtitle>
      <itunes:summary>Back by popular demand is Gabriela de Queiroz to discuss various data accessibility issues and how her work, talks, and organizations are working to make data science and AI more available across the board.

In this episode you will learn:

What’s new with Gabriela [7:14]

How does Gabriela find the time? [10:50]

Gabriela at DSGO [16:45]

IBM’s Data Asset Exchange [27:48]

What is Docker? [44:32]

Gabriela’s code background &amp; team [46:34]

R-Ladies [54:50]



Additional materials: www.superdatascience.com/315</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Back by popular demand is Gabriela de Queiroz to discuss various data accessibility issues and how her work, talks, and organizations are working to make data science and AI more available across the board.</p><p><br></p><p>In this episode you will learn:</p><ul>
<li>What’s new with Gabriela [7:14]</li>
<li>How does Gabriela find the time? [10:50]</li>
<li>Gabriela at DSGO [16:45]</li>
<li>IBM’s Data Asset Exchange [27:48]</li>
<li>What is Docker? [44:32]</li>
<li>Gabriela’s code background &amp; team [46:34]</li>
<li>R-Ladies [54:50]</li>
</ul><p><br></p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/315">www.superdatascience.com/315</a></p>]]>
      </content:encoded>
      <itunes:duration>4397</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/715434079]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6905065940.mp3?updated=1723531014" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>314: Meet the Team</title>
      <description>I asked the team what was one wish they had for our students on their data science journey. The answers are inspirational and encouraging for students at all levels.

Additional materials: www.superdatascience.com/314</description>
      <pubDate>Fri, 15 Nov 2019 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7928f668-1c33-11ef-9765-734a0337127c/image/edae23b71d1909da96d9c118f975892e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>I asked the team what was one wish they had for our students on their data science journey. The answers are inspirational and encouraging for students at all levels.</itunes:subtitle>
      <itunes:summary>I asked the team what was one wish they had for our students on their data science journey. The answers are inspirational and encouraging for students at all levels.

Additional materials: www.superdatascience.com/314</itunes:summary>
      <content:encoded>
        <![CDATA[<p>I asked the team what was one wish they had for our students on their data science journey. The answers are inspirational and encouraging for students at all levels.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/314">www.superdatascience.com/314</a></p>]]>
      </content:encoded>
      <itunes:duration>291</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/713135281]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5320956541.mp3?updated=1723530934" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>313: The Power of Online Data Education</title>
      <description>Marco Caviezel’s journey from research-based psychology into a career as a data analyst is really fascinating. He did his entire data education online and managed to not only teach himself in topics of machine learning and data visualization but got a job as a data analyst through his own work.

Additional materials: www.superdatascience.com/313</description>
      <pubDate>Thu, 14 Nov 2019 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7995787e-1c33-11ef-9765-8fe13f3f0e8d/image/541e6322f743eb2cbdccc0ef0c75ea54.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Marco Caviezel’s journey from research-based psychology into a career as a data analyst is really fascinating. He did his entire data education online and managed to not only teach himself in topics of machine learning and data visualization but got a job as a data analyst through his own work.</itunes:subtitle>
      <itunes:summary>Marco Caviezel’s journey from research-based psychology into a career as a data analyst is really fascinating. He did his entire data education online and managed to not only teach himself in topics of machine learning and data visualization but got a job as a data analyst through his own work.

Additional materials: www.superdatascience.com/313</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Marco Caviezel’s journey from research-based psychology into a career as a data analyst is really fascinating. He did his entire data education online and managed to not only teach himself in topics of machine learning and data visualization but got a job as a data analyst through his own work.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/313">www.superdatascience.com/313</a></p>]]>
      </content:encoded>
      <itunes:duration>3842</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/712099507]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6049528115.mp3?updated=1723530905" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>312: Contemplation</title>
      <description>Kirill and Mitja share some thoughts about one of the workshops at the SuperDataScience offsite retreat. They explore the practice of contemplation as a way to get a deeper understanding and insights. 

Additional materials: www.superdatascience.com/312</description>
      <pubDate>Fri, 08 Nov 2019 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7a0ef55a-1c33-11ef-9765-27dcbaf904c5/image/d6c6963441a2ef19c5a3850a9701b9f0.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Kirill and Mitja share some thoughts about one of the workshops at the SuperDataScience offsite retreat. They explore the practice of contemplation as a way to get a deeper understanding and insights. </itunes:subtitle>
      <itunes:summary>Kirill and Mitja share some thoughts about one of the workshops at the SuperDataScience offsite retreat. They explore the practice of contemplation as a way to get a deeper understanding and insights. 

Additional materials: www.superdatascience.com/312</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Kirill and Mitja share some thoughts about one of the workshops at the SuperDataScience offsite retreat. They explore the practice of contemplation as a way to get a deeper understanding and insights. </p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/312">www.superdatascience.com/312</a></p>]]>
      </content:encoded>
      <itunes:duration>779</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/709636654]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1490584617.mp3?updated=1723530880" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>311: Using Data Right In Smart Cities</title>
      <description>This episode with Daniel Obodovski explores smart cities and the importance of problem-solving from city to city by using data correctly. But solutions aren’t always obvious, privacy continues to be a huge issue for citizens, and not every city prioritizes problems the same way. It’s a fascinating topic.

Additional materials: www.superdatascience.com/311</description>
      <pubDate>Thu, 07 Nov 2019 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7a8e9878-1c33-11ef-9765-23ce95ba79fb/image/82a327baeb19b10f23dff534f15513d8.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>This episode with Daniel Obodovski explores smart cities and the importance of problem-solving from city to city by using data correctly. But solutions aren’t always obvious, privacy continues to be a huge issue for citizens, and not every city prioritizes problems the same way. It’s a fascinating topic.</itunes:subtitle>
      <itunes:summary>This episode with Daniel Obodovski explores smart cities and the importance of problem-solving from city to city by using data correctly. But solutions aren’t always obvious, privacy continues to be a huge issue for citizens, and not every city prioritizes problems the same way. It’s a fascinating topic.

Additional materials: www.superdatascience.com/311</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This episode with Daniel Obodovski explores smart cities and the importance of problem-solving from city to city by using data correctly. But solutions aren’t always obvious, privacy continues to be a huge issue for citizens, and not every city prioritizes problems the same way. It’s a fascinating topic.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/311">www.superdatascience.com/311</a></p>]]>
      </content:encoded>
      <itunes:duration>4442</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/708709429]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9266925044.mp3?updated=1723530849" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>310: Trial by Fire</title>
      <description>Kirill and Mitja share thoughts on purposeful “trials by fire” in your life and how you can force yourself to grow through intended adversity.

Additional materials: www.superdatascience.com/310</description>
      <pubDate>Fri, 01 Nov 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7b04b8f0-1c33-11ef-9765-9f75ff4d4b59/image/d43d539b735d6d013840bd3018f13d28.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Kirill and Mitja share thoughts on purposeful “trials by fire” in your life and how you can force yourself to grow through intended adversity.</itunes:subtitle>
      <itunes:summary>Kirill and Mitja share thoughts on purposeful “trials by fire” in your life and how you can force yourself to grow through intended adversity.

Additional materials: www.superdatascience.com/310</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Kirill and Mitja share thoughts on purposeful “trials by fire” in your life and how you can force yourself to grow through intended adversity.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/310">www.superdatascience.com/310</a></p>]]>
      </content:encoded>
      <itunes:duration>415</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/706316293]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9638653470.mp3?updated=1723530820" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>309: Learning Through Competition</title>
      <description>A conversation between rival online educators in the data science community about the challenges of creating a worldwide community with millions of students, the trends in data science, and how education can keep up to date.

Additional materials: www.superdatascience.com/309</description>
      <pubDate>Wed, 30 Oct 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7b7d2f92-1c33-11ef-9765-ab4baa0980f4/image/4910b3673db01a2ac10f327664be9cee.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>A conversation between rival online educators in the data science community about the challenges of creating a worldwide community with millions of students, the trends in data science, and how education can keep up to date.</itunes:subtitle>
      <itunes:summary>A conversation between rival online educators in the data science community about the challenges of creating a worldwide community with millions of students, the trends in data science, and how education can keep up to date.

Additional materials: www.superdatascience.com/309</itunes:summary>
      <content:encoded>
        <![CDATA[<p>A conversation between rival online educators in the data science community about the challenges of creating a worldwide community with millions of students, the trends in data science, and how education can keep up to date.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/309">www.superdatascience.com/309</a></p>]]>
      </content:encoded>
      <itunes:duration>3299</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/705373675]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8670839797.mp3?updated=1723530753" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>308: Your Tribe</title>
      <description>A FiveMinuteFriday about the importance of belonging and how a connection to the larger community in the work that you do can be incredibly beneficial and meaningful for both your career and personal happiness.

Additional materials: www.superdatascience.com/308</description>
      <pubDate>Fri, 25 Oct 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7c025596-1c33-11ef-9765-fb99a7f6af6a/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>A FiveMinuteFriday about the importance of belonging and how a connection to the larger community in the work that you do can be incredibly beneficial and meaningful for both your career and personal happiness.</itunes:subtitle>
      <itunes:summary>A FiveMinuteFriday about the importance of belonging and how a connection to the larger community in the work that you do can be incredibly beneficial and meaningful for both your career and personal happiness.

Additional materials: www.superdatascience.com/308</itunes:summary>
      <content:encoded>
        <![CDATA[<p>A FiveMinuteFriday about the importance of belonging and how a connection to the larger community in the work that you do can be incredibly beneficial and meaningful for both your career and personal happiness.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/308">www.superdatascience.com/308</a></p>]]>
      </content:encoded>
      <itunes:duration>646</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/701444257]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3033434173.mp3?updated=1723530732" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>307: Problem Solving Through Better Thinking</title>
      <description>Kirill and Marc have a conversation that started as a quick FiveMinuteFriday discussion on thoughtfulness that turned into a full podcast worth of content on the power of thought, mindfulness, practice, and how even data scientists need to look past facts and information and follow their intuition. 

Additional materials: www.superdatascience.com/307</description>
      <pubDate>Wed, 23 Oct 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7c8492ea-1c33-11ef-9765-5fbcf101eda7/image/186896ef5d932a1f197f06793141e62a.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Kirill and Marc have a conversation that started as a quick FiveMinuteFriday discussion on thoughtfulness that turned into a full podcast worth of content on the power of thought, mindfulness, practice, and how even data scientists need to look past facts and information and follow their intuition. </itunes:subtitle>
      <itunes:summary>Kirill and Marc have a conversation that started as a quick FiveMinuteFriday discussion on thoughtfulness that turned into a full podcast worth of content on the power of thought, mindfulness, practice, and how even data scientists need to look past facts and information and follow their intuition. 

Additional materials: www.superdatascience.com/307</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Kirill and Marc have a conversation that started as a quick FiveMinuteFriday discussion on thoughtfulness that turned into a full podcast worth of content on the power of thought, mindfulness, practice, and how even data scientists need to look past facts and information and follow their intuition. </p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/307">www.superdatascience.com/307</a></p>]]>
      </content:encoded>
      <itunes:duration>2815</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/700468750]]></guid>
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    </item>
    <item>
      <title>306: Pura Vida</title>
      <description>The Costa Rican phrase "Pura Vida" is something very important to think about because it is incredibly beautiful, filled with emotion and it is so powerful. What meaning would this phrase have for you, in your life? 

Additional materials: www.superdatascience.com/306</description>
      <pubDate>Fri, 18 Oct 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7cffb4ca-1c33-11ef-9765-c79175e92a6c/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>The Costa Rican phrase "Pura Vida" is something very important to think about because it is incredibly beautiful, filled with emotion and it is so powerful. What meaning would this phrase have for you, in your life? </itunes:subtitle>
      <itunes:summary>The Costa Rican phrase "Pura Vida" is something very important to think about because it is incredibly beautiful, filled with emotion and it is so powerful. What meaning would this phrase have for you, in your life? 

Additional materials: www.superdatascience.com/306</itunes:summary>
      <content:encoded>
        <![CDATA[<p>The Costa Rican phrase "Pura Vida" is something very important to think about because it is incredibly beautiful, filled with emotion and it is so powerful. What meaning would this phrase have for you, in your life? </p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/306">www.superdatascience.com/306</a></p>]]>
      </content:encoded>
      <itunes:duration>414</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/698136055]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9073887237.mp3?updated=1723530684" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>305: Using Data Visualization Tools</title>
      <description>Jean-Pierre Labuschagne's career journey started in South Africa and moved to Europe, where he is bringing massive value with the power of data visualization. He is also teaching successful courses online after spending 2 years as a student of online courses himself.

Additional materials: www.superdatascience.com/305</description>
      <pubDate>Wed, 16 Oct 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7d953aa4-1c33-11ef-9765-23434f0bc508/image/5443f56b6a08c97187a9391dbb993aae.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Jean-Pierre Labuschagne's career journey started in South Africa and moved to Europe, where he is bringing massive value with the power of data visualization. He is also teaching successful courses online after spending 2 years as a student of online courses himself.</itunes:subtitle>
      <itunes:summary>Jean-Pierre Labuschagne's career journey started in South Africa and moved to Europe, where he is bringing massive value with the power of data visualization. He is also teaching successful courses online after spending 2 years as a student of online courses himself.

Additional materials: www.superdatascience.com/305</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jean-Pierre Labuschagne's career journey started in South Africa and moved to Europe, where he is bringing massive value with the power of data visualization. He is also teaching successful courses online after spending 2 years as a student of online courses himself.</p><p><br></p><p>Additional materials: <a href="https://www.superdatascience.com/305">www.superdatascience.com/305</a></p>]]>
      </content:encoded>
      <itunes:duration>3975</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/697101827]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2456779151.mp3?updated=1723530597" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>304: The Law of Attraction</title>
      <description>Can you think of examples when the law of attraction worked in your life? 

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/304</description>
      <pubDate>Fri, 11 Oct 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7e11909a-1c33-11ef-9765-9fabe3f16aa7/image/cfb4c38e0d918054969a069ab0614d67.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Can you think of examples when the law of attraction worked in your life? </itunes:subtitle>
      <itunes:summary>Can you think of examples when the law of attraction worked in your life? 

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/304</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Can you think of examples when the law of attraction worked in your life? </p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/304">www.superdatascience.com/304</a></p>]]>
      </content:encoded>
      <itunes:duration>635</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/694162627]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1089807449.mp3?updated=1723530558" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>303: Proper Hypothesis Testing For Every Field</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Astrophysicist and Online Data Science Instructor, Sam Hinton. You will hear about the Lindau Nobel Laureates meeting, where he met Nobel Prize winners and you will also hear about his appearance on the Survivor TV show. You will learn about quantum mechanics. You will also learn about the course he launched in Python for Statistical Analysis, as well as going in-depth on hypothesis testing. You will hear about Python versus R, statistical significance, why p-value of 0.5 is bad, Bayesian statistics, and what is the difference between frequentist and Bayesian approaches.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/303</description>
      <pubDate>Wed, 09 Oct 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7e893a3c-1c33-11ef-9765-a3d83f6e59ac/image/3cba0af4fd6503610b55eb348e6584c5.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Astrophysicist and Online Data Science Instructor, Sam Hinton. You will hear about the Lindau Nobel Laureates meeting, where he met Nobel Prize winners and you will also hear about his appearance on the Survivor TV show. You will learn about quantum mechanics. You will also learn about the course he launched in Python for Statistical Analysis, as well as going in-depth on hypothesis testing. You will hear about Python versus R, statistical significance, why p-value of 0.5 is bad, Bayesian statistics, and what is the difference between frequentist and Bayesian approaches.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Astrophysicist and Online Data Science Instructor, Sam Hinton. You will hear about the Lindau Nobel Laureates meeting, where he met Nobel Prize winners and you will also hear about his appearance on the Survivor TV show. You will learn about quantum mechanics. You will also learn about the course he launched in Python for Statistical Analysis, as well as going in-depth on hypothesis testing. You will hear about Python versus R, statistical significance, why p-value of 0.5 is bad, Bayesian statistics, and what is the difference between frequentist and Bayesian approaches.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/303</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Astrophysicist and Online Data Science Instructor, Sam Hinton. You will hear about the Lindau Nobel Laureates meeting, where he met Nobel Prize winners and you will also hear about his appearance on the Survivor TV show. You will learn about quantum mechanics. You will also learn about the course he launched in Python for Statistical Analysis, as well as going in-depth on hypothesis testing. You will hear about Python versus R, statistical significance, why p-value of 0.5 is bad, Bayesian statistics, and what is the difference between frequentist and Bayesian approaches.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/303">www.superdatascience.com/303</a></p>]]>
      </content:encoded>
      <itunes:duration>4204</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/693369985]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5500122827.mp3?updated=1723530529" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>302: What is Data Science to you?</title>
      <description>What is Data Science to you?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/302</description>
      <pubDate>Fri, 04 Oct 2019 16:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7f069bc6-1c33-11ef-9765-cb88a7d9d795/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What is Data Science to you?</itunes:subtitle>
      <itunes:summary>What is Data Science to you?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/302</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What is Data Science to you?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/302">www.superdatascience.com/302</a></p>]]>
      </content:encoded>
      <itunes:duration>332</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/690938980]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7278136220.mp3?updated=1723530498" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>301: Finding Your Edge</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Data Scientist at TD Bank, Ayobami Ayodeji. You will hear Ayobami's valuable insights about the takeaways from DataScienceGO 2019, including productization of data science products, the 3 types of data science teams, and building character and resilience. You will also learn about Ayobami's career journey from project manager to data scientist and the sacrifices he made on that journey.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/301</description>
      <pubDate>Wed, 02 Oct 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7f857f86-1c33-11ef-9765-f77811a30675/image/70d12e9fc8642e5a60827cc0182e7562.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Data Scientist at TD Bank, Ayobami Ayodeji. You will hear Ayobami's valuable insights about the takeaways from DataScienceGO 2019, including productization of data science products, the 3 types of data science teams, and building character and resilience. You will also learn about Ayobami's career journey from project manager to data scientist and the sacrifices he made on that journey.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Data Scientist at TD Bank, Ayobami Ayodeji. You will hear Ayobami's valuable insights about the takeaways from DataScienceGO 2019, including productization of data science products, the 3 types of data science teams, and building character and resilience. You will also learn about Ayobami's career journey from project manager to data scientist and the sacrifices he made on that journey.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/301</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Data Scientist at TD Bank, Ayobami Ayodeji. You will hear Ayobami's valuable insights about the takeaways from DataScienceGO 2019, including productization of data science products, the 3 types of data science teams, and building character and resilience. You will also learn about Ayobami's career journey from project manager to data scientist and the sacrifices he made on that journey.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/301">www.superdatascience.com/301</a></p>]]>
      </content:encoded>
      <itunes:duration>4121</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/690083602]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8433982541.mp3?updated=1723530472" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>300: Legacy</title>
      <description>What are you leaving for the next generation on this planet?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/300</description>
      <pubDate>Fri, 27 Sep 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7ffb7c54-1c33-11ef-9765-53426e8cd3dd/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What are you leaving for the next generation on this planet?</itunes:subtitle>
      <itunes:summary>What are you leaving for the next generation on this planet?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/300</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What are you leaving for the next generation on this planet?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/300">www.superdatascience.com/300</a></p>]]>
      </content:encoded>
      <itunes:duration>575</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/687542650]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3759579439.mp3?updated=1723453958" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>299: Becoming Seasoned At Failure</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Head of Data Science and Machine Learning, Michelle Keim. You will hear what working remotely is all about in data science. You will learn about the importance of failure, and why everyone should lose their job at least once. You will hear about churn and segmentation, what they meant 10 years ago and what they mean now. You will also learn about the imposter syndrome and what to do when you feel like an imposter while applying for a role. You will hear about moving from centralized data science teams to integrated experts within the business and leading people on the three key learnings that Michelle has taken away from her experience as a leader.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/299</description>
      <pubDate>Wed, 25 Sep 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/80722a2a-1c33-11ef-9765-fb52e3e01b03/image/98d138c594f8b2d571565c562a432ffd.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Head of Data Science and Machine Learning, Michelle Keim. You will hear what working remotely is all about in data science. You will learn about the importance of failure, and why everyone should lose their job at least once. You will hear about churn and segmentation, what they meant 10 years ago and what they mean now. You will also learn about the imposter syndrome and what to do when you feel like an imposter while applying for a role. You will hear about moving from centralized data science teams to integrated experts within the business and leading people on the three key learnings that Michelle has taken away from her experience as a leader.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Head of Data Science and Machine Learning, Michelle Keim. You will hear what working remotely is all about in data science. You will learn about the importance of failure, and why everyone should lose their job at least once. You will hear about churn and segmentation, what they meant 10 years ago and what they mean now. You will also learn about the imposter syndrome and what to do when you feel like an imposter while applying for a role. You will hear about moving from centralized data science teams to integrated experts within the business and leading people on the three key learnings that Michelle has taken away from her experience as a leader.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/299</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Head of Data Science and Machine Learning, Michelle Keim. You will hear what working remotely is all about in data science. You will learn about the importance of failure, and why everyone should lose their job at least once. You will hear about churn and segmentation, what they meant 10 years ago and what they mean now. You will also learn about the imposter syndrome and what to do when you feel like an imposter while applying for a role. You will hear about moving from centralized data science teams to integrated experts within the business and leading people on the three key learnings that Michelle has taken away from her experience as a leader.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/299">www.superdatascience.com/299</a></p>]]>
      </content:encoded>
      <itunes:duration>4173</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/686535961]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3905423745.mp3?updated=1723453933" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>298: The Six Months Rule</title>
      <description>What would you change about the things you do in your life if you thought you only had 6 months to live?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/298</description>
      <pubDate>Fri, 20 Sep 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/80f43768-1c33-11ef-9765-1f0447a22012/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What would you change about the things you do in your life if you thought you only had 6 months to live?</itunes:subtitle>
      <itunes:summary>What would you change about the things you do in your life if you thought you only had 6 months to live?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/298</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What would you change about the things you do in your life if you thought you only had 6 months to live?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/298">www.superdatascience.com/298</a></p>]]>
      </content:encoded>
      <itunes:duration>308</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/683807579]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8819859353.mp3?updated=1723453902" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>297: Fortitude &amp; Passion in the Data Science Journey</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with data scientist Ayodele Odubela. You will hear how and why she chose to do a Masters in Data Science and supplemented that with online education. You will also hear about self-discovery, fortitude and passion, and how she got one of her data science jobs through Twitter. You will learn about some of Ayodele's projects like using SVM for detecting poisonous vs. edible mushrooms, using random forests and decision trees for ranking wines based on the chemical contents, using the Naive Bayes to detect spam. You will learn about the real-world project that she's worked on, bullet stopping flying drones. You will find out what role machine learning played in that project and how they're going to be applied in society once they get rolled out.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/297</description>
      <pubDate>Wed, 18 Sep 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8241c130-1c33-11ef-9765-ab426c908b5d/image/1b5b6c02dcf6edafe57a1a4f03bf87ed.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with data scientist Ayodele Odubela. You will hear how and why she chose to do a Masters in Data Science and supplemented that with online education. You will also hear about self-discovery, fortitude and passion, and how she got one of her data science jobs through Twitter. You will learn about some of Ayodele's projects like using SVM for detecting poisonous vs. edible mushrooms, using random forests and decision trees for ranking wines based on the chemical contents, using the Naive Bayes to detect spam. You will learn about the real-world project that she's worked on, bullet stopping flying drones. You will find out what role machine learning played in that project and how they're going to be applied in society once they get rolled out.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with data scientist Ayodele Odubela. You will hear how and why she chose to do a Masters in Data Science and supplemented that with online education. You will also hear about self-discovery, fortitude and passion, and how she got one of her data science jobs through Twitter. You will learn about some of Ayodele's projects like using SVM for detecting poisonous vs. edible mushrooms, using random forests and decision trees for ranking wines based on the chemical contents, using the Naive Bayes to detect spam. You will learn about the real-world project that she's worked on, bullet stopping flying drones. You will find out what role machine learning played in that project and how they're going to be applied in society once they get rolled out.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/297</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with data scientist Ayodele Odubela. You will hear how and why she chose to do a Masters in Data Science and supplemented that with online education. You will also hear about self-discovery, fortitude and passion, and how she got one of her data science jobs through Twitter. You will learn about some of Ayodele's projects like using SVM for detecting poisonous vs. edible mushrooms, using random forests and decision trees for ranking wines based on the chemical contents, using the Naive Bayes to detect spam. You will learn about the real-world project that she's worked on, bullet stopping flying drones. You will find out what role machine learning played in that project and how they're going to be applied in society once they get rolled out.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/297">www.superdatascience.com/297</a></p>]]>
      </content:encoded>
      <itunes:duration>3950</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>296: Who You Become</title>
      <description>Do you take time to reflect on who you became or actions you took while on a path to achieving a goal?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/296</description>
      <pubDate>Fri, 13 Sep 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8351a608-1c33-11ef-9765-ef1b6d05cc32/image/eb2835c86104b67e494aef17430d708c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Do you take time to reflect on who you became or actions you took while on a path to achieving a goal?</itunes:subtitle>
      <itunes:summary>Do you take time to reflect on who you became or actions you took while on a path to achieving a goal?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/296</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Do you take time to reflect on who you became or actions you took while on a path to achieving a goal?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/296">www.superdatascience.com/296</a></p>]]>
      </content:encoded>
      <itunes:duration>664</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/680459501]]></guid>
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    </item>
    <item>
      <title>295: A Deep Conversation About Tech &amp; Life</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with my friend and business partner, Hadelin de Ponteves. You will hear what new exciting things are happening in Hadelin's life now. You will hear some preview of his upcoming presentation at DataScienceGO 2019, which will cover NLP, especially the BERT model, which raised a whole new level in NLP. You will also learn about reinforcement learning and Hadelin's new course on Twin-Delayed DDPG.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/295</description>
      <pubDate>Wed, 11 Sep 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/846023d0-1c33-11ef-9765-7be45e50ba1d/image/d81010b9848bb93129cfcfa45cca798d.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with my friend and business partner, Hadelin de Ponteves. You will hear what new exciting things are happening in Hadelin's life now. You will hear some preview of his upcoming presentation at DataScienceGO 2019, which will cover NLP, especially the BERT model, which raised a whole new level in NLP. You will also learn about reinforcement learning and Hadelin's new course on Twin-Delayed DDPG.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with my friend and business partner, Hadelin de Ponteves. You will hear what new exciting things are happening in Hadelin's life now. You will hear some preview of his upcoming presentation at DataScienceGO 2019, which will cover NLP, especially the BERT model, which raised a whole new level in NLP. You will also learn about reinforcement learning and Hadelin's new course on Twin-Delayed DDPG.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/295</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with my friend and business partner, Hadelin de Ponteves. You will hear what new exciting things are happening in Hadelin's life now. You will hear some preview of his upcoming presentation at DataScienceGO 2019, which will cover NLP, especially the BERT model, which raised a whole new level in NLP. You will also learn about reinforcement learning and Hadelin's new course on Twin-Delayed DDPG.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/295">www.superdatascience.com/295</a></p>]]>
      </content:encoded>
      <itunes:duration>3327</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/679615577]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5234726164.mp3?updated=1723453820" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>294: Perception of AI in Big Companies</title>
      <description>What about AI worries you in the professional world? 

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/294</description>
      <pubDate>Fri, 06 Sep 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/84e7d050-1c33-11ef-9765-a3dade118c4c/image/e4fe5658cbcd2c8baabb14103cb8279b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What about AI worries you in the professional world? </itunes:subtitle>
      <itunes:summary>What about AI worries you in the professional world? 

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/294</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What about AI worries you in the professional world? </p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/294">www.superdatascience.com/294</a></p>]]>
      </content:encoded>
      <itunes:duration>583</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/677100915]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4954126122.mp3?updated=1723453783" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>293: True Personalization Through Reinforcement Learning</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Data Scientist, Peyman Hesami. You will find out what reinforcement learning is and how it works on an intuitive level. You will hear about the differences between reinforcement learning versus classification, or other supervised learning methods, and how it's used for personalization specifically. You will learn about six distinct advantages of reinforcement learning, what role reinforcement learning is going to play in the future of machine learning and why. Also, you will find out how and why Peyman made a career transition to work for a startup, how he's using reinforcement learning, and what is the biggest mistake he has made with reinforcement learning.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/293</description>
      <pubDate>Wed, 04 Sep 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8639e088-1c33-11ef-9765-afed105fafb1/image/1eb71f0c2f5f5bd30f2349231cd6681c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Data Scientist, Peyman Hesami. You will find out what reinforcement learning is and how it works on an intuitive level. You will hear about the differences between reinforcement learning versus classification, or other supervised learning methods, and how it's used for personalization specifically. You will learn about six distinct advantages of reinforcement learning, what role reinforcement learning is going to play in the future of machine learning and why. Also, you will find out how and why Peyman made a career transition to work for a startup, how he's using reinforcement learning, and what is the biggest mistake he has made with reinforcement learning.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Data Scientist, Peyman Hesami. You will find out what reinforcement learning is and how it works on an intuitive level. You will hear about the differences between reinforcement learning versus classification, or other supervised learning methods, and how it's used for personalization specifically. You will learn about six distinct advantages of reinforcement learning, what role reinforcement learning is going to play in the future of machine learning and why. Also, you will find out how and why Peyman made a career transition to work for a startup, how he's using reinforcement learning, and what is the biggest mistake he has made with reinforcement learning.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/293</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Data Scientist, Peyman Hesami. You will find out what reinforcement learning is and how it works on an intuitive level. You will hear about the differences between reinforcement learning versus classification, or other supervised learning methods, and how it's used for personalization specifically. You will learn about six distinct advantages of reinforcement learning, what role reinforcement learning is going to play in the future of machine learning and why. Also, you will find out how and why Peyman made a career transition to work for a startup, how he's using reinforcement learning, and what is the biggest mistake he has made with reinforcement learning.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/293">www.superdatascience.com/293</a></p>]]>
      </content:encoded>
      <itunes:duration>3659</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/676160561]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6236328475.mp3?updated=1723453754" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>292: Introverts and Extroverts</title>
      <description>How can you find a way to balance your energy through recharging in the way that works best for you? 

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/292</description>
      <pubDate>Fri, 30 Aug 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/87a3b93a-1c33-11ef-9765-47b1f4551155/image/b199caabefd3611716584e3da82ee020.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How can you find a way to balance your energy through recharging in the way that works best for you? </itunes:subtitle>
      <itunes:summary>How can you find a way to balance your energy through recharging in the way that works best for you? 

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/292</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How can you find a way to balance your energy through recharging in the way that works best for you? </p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/292">www.superdatascience.com/292</a></p>]]>
      </content:encoded>
      <itunes:duration>551</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/673202201]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8211524901.mp3?updated=1723453730" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>291: Changing the World With Theory &amp; Data</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with founder and CEO at Daisy Intelligence, Gary Saarenvirta. You'll learn about dangerous implicit assumptions, the power of theory and theory versus data. You'll also learn about two types of decisions, the spacial interaction model, traffic flow model, the concept of dividing the world in two and what humans should be doing, and what artificial intelligence should be doing. You will hear about the difference between artificial intelligence that leverages just data versus artificial intelligence that leverages theory and data, and what advantages that creates.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/291</description>
      <pubDate>Wed, 28 Aug 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/885319ca-1c33-11ef-9765-83126649fae3/image/59708119161b435e7cae200688e5b259.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with founder and CEO at Daisy Intelligence, Gary Saarenvirta. You'll learn about dangerous implicit assumptions, the power of theory and theory versus data. You'll also learn about two types of decisions, the spacial interaction model, traffic flow model, the concept of dividing the world in two and what humans should be doing, and what artificial intelligence should be doing. You will hear about the difference between artificial intelligence that leverages just data versus artificial intelligence that leverages theory and data, and what advantages that creates.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with founder and CEO at Daisy Intelligence, Gary Saarenvirta. You'll learn about dangerous implicit assumptions, the power of theory and theory versus data. You'll also learn about two types of decisions, the spacial interaction model, traffic flow model, the concept of dividing the world in two and what humans should be doing, and what artificial intelligence should be doing. You will hear about the difference between artificial intelligence that leverages just data versus artificial intelligence that leverages theory and data, and what advantages that creates.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/291</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with founder and CEO at Daisy Intelligence, Gary Saarenvirta. You'll learn about dangerous implicit assumptions, the power of theory and theory versus data. You'll also learn about two types of decisions, the spacial interaction model, traffic flow model, the concept of dividing the world in two and what humans should be doing, and what artificial intelligence should be doing. You will hear about the difference between artificial intelligence that leverages just data versus artificial intelligence that leverages theory and data, and what advantages that creates.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/291">www.superdatascience.com/291</a></p>]]>
      </content:encoded>
      <itunes:duration>3918</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/671838638]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7057928063.mp3?updated=1723453706" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>290: The Passion Paradox</title>
      <description>How does your inner voice compare to your passions?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/290</description>
      <pubDate>Fri, 23 Aug 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/88cbddba-1c33-11ef-9765-03e114f36b34/image/b199caabefd3611716584e3da82ee020.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How does your inner voice compare to your passions?</itunes:subtitle>
      <itunes:summary>How does your inner voice compare to your passions?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/290</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How does your inner voice compare to your passions?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/290">www.superdatascience.com/290</a></p>]]>
      </content:encoded>
      <itunes:duration>652</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/669876077]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4264037152.mp3?updated=1723453613" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>289: AI, Deepfakes and Call of Duty</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with top AI influencer, Ben Taylor. You will learn some very cool concepts about artificial intelligence such as active adverse impact mitigation, what that means and how that can help train on your dataset without bias. You will hear about AI ethics, deepfakes and Ben's current passion project, building an artificial intelligence that plays Call of Duty, which he will actually demonstrate at DataScienceGO this year at the end of September.

If you enjoyed this episode, check out the video, show notes, resources, and more at www.superdatascience.com/289</description>
      <pubDate>Wed, 21 Aug 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/893f806c-1c33-11ef-9765-9f73356bb479/image/ff164d8a5f39b51178503f14e86700ea.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with top AI influencer, Ben Taylor. You will learn some very cool concepts about artificial intelligence such as active adverse impact mitigation, what that means and how that can help train on your dataset without bias. You will hear about AI ethics, deepfakes and Ben's current passion project, building an artificial intelligence that plays Call of Duty, which he will actually demonstrate at DataScienceGO this year at the end of September.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with top AI influencer, Ben Taylor. You will learn some very cool concepts about artificial intelligence such as active adverse impact mitigation, what that means and how that can help train on your dataset without bias. You will hear about AI ethics, deepfakes and Ben's current passion project, building an artificial intelligence that plays Call of Duty, which he will actually demonstrate at DataScienceGO this year at the end of September.

If you enjoyed this episode, check out the video, show notes, resources, and more at www.superdatascience.com/289</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with top AI influencer, Ben Taylor. You will learn some very cool concepts about artificial intelligence such as active adverse impact mitigation, what that means and how that can help train on your dataset without bias. You will hear about AI ethics, deepfakes and Ben's current passion project, building an artificial intelligence that plays Call of Duty, which he will actually demonstrate at DataScienceGO this year at the end of September.</p><p><br></p><p>If you enjoyed this episode, check out the video, show notes, resources, and more at <a href="https://www.superdatascience.com/289">www.superdatascience.com/289</a></p>]]>
      </content:encoded>
      <itunes:duration>3890</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/668901305]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6857486765.mp3?updated=1723453586" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>288: Love Yourself</title>
      <description>Can you pick one activity to implement for yourself this week to engage in loving yourself?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/288</description>
      <pubDate>Fri, 16 Aug 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8f6f1aba-1c33-11ef-9765-b79754b662ab/image/b199caabefd3611716584e3da82ee020.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Can you pick one activity to implement for yourself this week to engage in loving yourself?</itunes:subtitle>
      <itunes:summary>Can you pick one activity to implement for yourself this week to engage in loving yourself?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/288</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Can you pick one activity to implement for yourself this week to engage in loving yourself?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/288">www.superdatascience.com/288</a></p>]]>
      </content:encoded>
      <itunes:duration>713</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/666577124]]></guid>
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    </item>
    <item>
      <title>287: How To Be Social About Data Science</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with a data scientist, public speaker and the mastermind behind the Let’s Go Data Science meetups, Ashwin Chirag. You will learn why it is very important to attend meetups and what are the benefits and advantages you get from meetups. You will hear some great stories on how in-person connections with data scientists can take your career to the next level. You will also hear Ashwin’s experience in standup comedy and what it has taught him. And finally, you will hear how attending meetups, attending conferences such as DataScienceGO has changed the trajectory of Ashwin’s life.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/287</description>
      <pubDate>Wed, 14 Aug 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/91db5c5a-1c33-11ef-9765-9765abdf5e83/image/051d38914e8310950c9621c96597bd0f.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with a data scientist, public speaker and the mastermind behind the Let’s Go Data Science meetups, Ashwin Chirag. You will learn why it is very important to attend meetups and what are the benefits and advantages you get from meetups. You will hear some great stories on how in-person connections with data scientists can take your career to the next level. You will also hear Ashwin’s experience in standup comedy and what it has taught him. And finally, you will hear how attending meetups, attending conferences such as DataScienceGO has changed the trajectory of Ashwin’s life.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with a data scientist, public speaker and the mastermind behind the Let’s Go Data Science meetups, Ashwin Chirag. You will learn why it is very important to attend meetups and what are the benefits and advantages you get from meetups. You will hear some great stories on how in-person connections with data scientists can take your career to the next level. You will also hear Ashwin’s experience in standup comedy and what it has taught him. And finally, you will hear how attending meetups, attending conferences such as DataScienceGO has changed the trajectory of Ashwin’s life.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/287</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with a data scientist, public speaker and the mastermind behind the Let’s Go Data Science meetups, Ashwin Chirag. You will learn why it is very important to attend meetups and what are the benefits and advantages you get from meetups. You will hear some great stories on how in-person connections with data scientists can take your career to the next level. You will also hear Ashwin’s experience in standup comedy and what it has taught him. And finally, you will hear how attending meetups, attending conferences such as DataScienceGO has changed the trajectory of Ashwin’s life.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/287">www.superdatascience.com/287</a></p>]]>
      </content:encoded>
      <itunes:duration>3935</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/665729333]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1407043874.mp3?updated=1723453508" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>286: Solitude Deprivation</title>
      <description>Can you give yourself an hour this weekend to physically separate from your phone?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/286</description>
      <pubDate>Fri, 09 Aug 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/92592216-1c33-11ef-9765-17ce96e53160/image/b199caabefd3611716584e3da82ee020.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Can you give yourself an hour this weekend to physically separate from your phone?</itunes:subtitle>
      <itunes:summary>Can you give yourself an hour this weekend to physically separate from your phone?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/286</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Can you give yourself an hour this weekend to physically separate from your phone?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/286">www.superdatascience.com/286</a></p>]]>
      </content:encoded>
      <itunes:duration>677</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/663368114]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9823678073.mp3?updated=1723453479" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>285: Bringing Dev &amp; Diverse Communities Into Data Science</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the top contributor on Stack Overflow, Jon Skeet. You will learn what is versioning, how that affects developers and how that affects data scientists. You will hear about compiled versus interpreted languages, what is the silver bullet in cold diagnostics, what kind of problems you want to diagnose and the 'divide and conquer' principle. You will also hear about the importance of community, what it means to be part of a community and how communities grow, what you can do as a data scientist to make our community be more inclusive, more welcoming and prosper further.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/285</description>
      <pubDate>Wed, 07 Aug 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/92cec2e6-1c33-11ef-9765-2356955be6b0/image/c1b1b8e26351b0a620888a0bbf571690.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the top contributor on Stack Overflow, Jon Skeet. You will learn what is versioning, how that affects developers and how that affects data scientists. You will hear about compiled versus interpreted languages, what is the silver bullet in cold diagnostics, what kind of problems you want to diagnose and the 'divide and conquer' principle. You will also hear about the importance of community, what it means to be part of a community and how communities grow, what you can do as a data scientist to make our community be more inclusive, more welcoming and prosper further.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the top contributor on Stack Overflow, Jon Skeet. You will learn what is versioning, how that affects developers and how that affects data scientists. You will hear about compiled versus interpreted languages, what is the silver bullet in cold diagnostics, what kind of problems you want to diagnose and the 'divide and conquer' principle. You will also hear about the importance of community, what it means to be part of a community and how communities grow, what you can do as a data scientist to make our community be more inclusive, more welcoming and prosper further.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/285</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the top contributor on Stack Overflow, Jon Skeet. You will learn what is versioning, how that affects developers and how that affects data scientists. You will hear about compiled versus interpreted languages, what is the silver bullet in cold diagnostics, what kind of problems you want to diagnose and the 'divide and conquer' principle. You will also hear about the importance of community, what it means to be part of a community and how communities grow, what you can do as a data scientist to make our community be more inclusive, more welcoming and prosper further.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/285">www.superdatascience.com/285</a></p>]]>
      </content:encoded>
      <itunes:duration>4584</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/662499092]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5136527629.mp3?updated=1723453457" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>284: Proximity is Power</title>
      <description>Who in your life can you get more inspiration and learning from by increasing your proximity?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/284</description>
      <pubDate>Fri, 02 Aug 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/935693a6-1c33-11ef-9765-a37e2d2dcc20/image/b199caabefd3611716584e3da82ee020.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Who in your life can you get more inspiration and learning from by increasing your proximity?</itunes:subtitle>
      <itunes:summary>Who in your life can you get more inspiration and learning from by increasing your proximity?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/284</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Who in your life can you get more inspiration and learning from by increasing your proximity?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/284">www.superdatascience.com/284</a></p>]]>
      </content:encoded>
      <itunes:duration>610</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/660015188]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1645541519.mp3?updated=1723453421" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>283: Getting The Most Out of Data With Gradient Boosting</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with one of the key people behind the Python package scikit-learn, Andreas Mueller. You will learn about gradient boosting algorithms, XGBoost, LightGBM and HistGradientBoosting. You will hear Andreas's approach to solving problems, what machine learning algorithms he prefers to apply to a given data science challenge, in which order and why. You will also hear about problems with Kaggle competitions. You will find out the four key questions that Andreas recommends to ask when you have a data challenge in front of you. You will learn about his 95% rule to creating models, and creating success in business enterprises with the help of machine learning. And, finally, you will also learn about the Data Science Institute at Columbia University.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/283</description>
      <pubDate>Wed, 31 Jul 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/93da50ba-1c33-11ef-9765-6f178c6abd45/image/f5ab2740fa22aaf5a07b2773d61e0b13.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with one of the key people behind the Python package scikit-learn, Andreas Mueller. You will learn about gradient boosting algorithms, XGBoost, LightGBM and HistGradientBoosting. You will hear Andreas's approach to solving problems, what machine learning algorithms he prefers to apply to a given data science challenge, in which order and why. You will also hear about problems with Kaggle competitions. You will find out the four key questions that Andreas recommends to ask when you have a data challenge in front of you. You will learn about his 95% rule to creating models, and creating success in business enterprises with the help of machine learning. And, finally, you will also learn about the Data Science Institute at Columbia University.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with one of the key people behind the Python package scikit-learn, Andreas Mueller. You will learn about gradient boosting algorithms, XGBoost, LightGBM and HistGradientBoosting. You will hear Andreas's approach to solving problems, what machine learning algorithms he prefers to apply to a given data science challenge, in which order and why. You will also hear about problems with Kaggle competitions. You will find out the four key questions that Andreas recommends to ask when you have a data challenge in front of you. You will learn about his 95% rule to creating models, and creating success in business enterprises with the help of machine learning. And, finally, you will also learn about the Data Science Institute at Columbia University.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/283</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with one of the key people behind the Python package scikit-learn, Andreas Mueller. You will learn about gradient boosting algorithms, XGBoost, LightGBM and HistGradientBoosting. You will hear Andreas's approach to solving problems, what machine learning algorithms he prefers to apply to a given data science challenge, in which order and why. You will also hear about problems with Kaggle competitions. You will find out the four key questions that Andreas recommends to ask when you have a data challenge in front of you. You will learn about his 95% rule to creating models, and creating success in business enterprises with the help of machine learning. And, finally, you will also learn about the Data Science Institute at Columbia University.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/283">www.superdatascience.com/283</a></p>]]>
      </content:encoded>
      <itunes:duration>3745</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/659046119]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2875528635.mp3?updated=1723453395" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>282: Learning Something New</title>
      <description>What can you spend time learning that’s new to you and how can it help your lifestyle and career?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/282</description>
      <pubDate>Fri, 26 Jul 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/94e5d24a-1c33-11ef-9765-cf49a1f0ffa0/image/b199caabefd3611716584e3da82ee020.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What can you spend time learning that’s new to you and how can it help your lifestyle and career?</itunes:subtitle>
      <itunes:summary>What can you spend time learning that’s new to you and how can it help your lifestyle and career?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/282</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What can you spend time learning that’s new to you and how can it help your lifestyle and career?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/282">www.superdatascience.com/282</a></p>]]>
      </content:encoded>
      <itunes:duration>663</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/656655782]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7241741961.mp3?updated=1723453363" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>281: Futureproofing Your Digital Marketing Tactics</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Founder and Director of Digital Strategy at Webfor, Kevin Getch. You will learn what digital assistants are and where they're going with the help of people like Ray Kurzweil at Google. You will hear Kevin's philosophy on 'what gets measured gets managed' and what it means for marketing and data science. You will also learn why websites are less and less important, how segmentation is slowly transitioning to personalization, creating amazing customer experiences, disk profiles, natural language processing, and computer vision and their role in the future of marketing.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/281</description>
      <pubDate>Wed, 24 Jul 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/95b91704-1c33-11ef-9765-ebfb1e16e657/image/665132fddfaf89a9cd60f413c87db05d.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Founder and Director of Digital Strategy at Webfor, Kevin Getch. You will learn what digital assistants are and where they're going with the help of people like Ray Kurzweil at Google. You will hear Kevin's philosophy on 'what gets measured gets managed' and what it means for marketing and data science. You will also learn why websites are less and less important, how segmentation is slowly transitioning to personalization, creating amazing customer experiences, disk profiles, natural language processing, and computer vision and their role in the future of marketing.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Founder and Director of Digital Strategy at Webfor, Kevin Getch. You will learn what digital assistants are and where they're going with the help of people like Ray Kurzweil at Google. You will hear Kevin's philosophy on 'what gets measured gets managed' and what it means for marketing and data science. You will also learn why websites are less and less important, how segmentation is slowly transitioning to personalization, creating amazing customer experiences, disk profiles, natural language processing, and computer vision and their role in the future of marketing.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/281</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Founder and Director of Digital Strategy at Webfor, Kevin Getch. You will learn what digital assistants are and where they're going with the help of people like Ray Kurzweil at Google. You will hear Kevin's philosophy on 'what gets measured gets managed' and what it means for marketing and data science. You will also learn why websites are less and less important, how segmentation is slowly transitioning to personalization, creating amazing customer experiences, disk profiles, natural language processing, and computer vision and their role in the future of marketing.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/281">www.superdatascience.com/281</a></p>]]>
      </content:encoded>
      <itunes:duration>3970</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/655193900]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9607133311.mp3?updated=1723453334" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>280: Gap Year</title>
      <description>Is there a period in your life you can look at and feel grateful for your freedom and experience?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/280</description>
      <pubDate>Fri, 19 Jul 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/963273e2-1c33-11ef-9765-7be39c3fa804/image/b199caabefd3611716584e3da82ee020.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Is there a period in your life you can look at and feel grateful for your freedom and experience?</itunes:subtitle>
      <itunes:summary>Is there a period in your life you can look at and feel grateful for your freedom and experience?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/280</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Is there a period in your life you can look at and feel grateful for your freedom and experience?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/280">www.superdatascience.com/280</a></p>]]>
      </content:encoded>
      <itunes:duration>623</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/653419778]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8706383816.mp3?updated=1723453298" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>279: Embedding Data Science in Business</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Head of Data Science at Scribd, Kevin Perko. You will learn what it's like to be a data science manager, or a data science leader, and what it's like to manage a team, and more so two teams, in two different locations, and how that is different to actually doing the technical work. Also, you'll learn about the Book Genome Project at Scribd, what it's like when a company sees data science as a product, as opposed to an auxiliary function, and a very valuable concept of decentralized, or embedded teams, versus core data science teams and the advantages and disadvantages of each approach.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/279</description>
      <pubDate>Wed, 17 Jul 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/96bd2816-1c33-11ef-9765-d7629ed0ef17/image/18fcf94d53c68f461f9c83bc6182a964.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Head of Data Science at Scribd, Kevin Perko. You will learn what it's like to be a data science manager, or a data science leader, and what it's like to manage a team, and more so two teams, in two different locations, and how that is different to actually doing the technical work. Also, you'll learn about the Book Genome Project at Scribd, what it's like when a company sees data science as a product, as opposed to an auxiliary function, and a very valuable concept of decentralized, or embedded teams, versus core data science teams and the advantages and disadvantages of each approach.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Head of Data Science at Scribd, Kevin Perko. You will learn what it's like to be a data science manager, or a data science leader, and what it's like to manage a team, and more so two teams, in two different locations, and how that is different to actually doing the technical work. Also, you'll learn about the Book Genome Project at Scribd, what it's like when a company sees data science as a product, as opposed to an auxiliary function, and a very valuable concept of decentralized, or embedded teams, versus core data science teams and the advantages and disadvantages of each approach.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/279</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Head of Data Science at Scribd, Kevin Perko. You will learn what it's like to be a data science manager, or a data science leader, and what it's like to manage a team, and more so two teams, in two different locations, and how that is different to actually doing the technical work. Also, you'll learn about the Book Genome Project at Scribd, what it's like when a company sees data science as a product, as opposed to an auxiliary function, and a very valuable concept of decentralized, or embedded teams, versus core data science teams and the advantages and disadvantages of each approach.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/279">www.superdatascience.com/279</a></p>]]>
      </content:encoded>
      <itunes:duration>4123</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/652528958]]></guid>
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    </item>
    <item>
      <title>278: Your Core Strength</title>
      <description>What do you do extremely well that no one else around you does quite as well and how can you leverage it?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/278</description>
      <pubDate>Fri, 12 Jul 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9741fab4-1c33-11ef-9765-ef1b7b244e41/image/b199caabefd3611716584e3da82ee020.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What do you do extremely well that no one else around you does quite as well and how can you leverage it?</itunes:subtitle>
      <itunes:summary>What do you do extremely well that no one else around you does quite as well and how can you leverage it?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/278</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What do you do extremely well that no one else around you does quite as well and how can you leverage it?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/278">www.superdatascience.com/278</a></p>]]>
      </content:encoded>
      <itunes:duration>943</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/650059538]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8372517671.mp3?updated=1723453182" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>277: The New Age of Reason</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Serial Entrepreneur, Khai Pham. You will learn why data science is an advantage in terms of mindset even to be an entrepreneur. You will hear about general artificial intelligence versus superintelligence, what are the differences and why you don't really need general artificial intelligence to get to superintelligence. You'll also learn how questions are more important than answers, and hence the reasoning engine versus a search engine. You'll hear about Khai's experience in becoming a founder of companies. You'll learn what the whole idea of reasoning is and why companies need to move from data-driven and machine learning-driven to reasoning-driven.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/277</description>
      <pubDate>Wed, 10 Jul 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/97bce440-1c33-11ef-9765-b36fd71533d4/image/7cbbb9415f33e25b842095eedf0cac1e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Serial Entrepreneur, Khai Pham. You will learn why data science is an advantage in terms of mindset even to be an entrepreneur. You will hear about general artificial intelligence versus superintelligence, what are the differences and why you don't really need general artificial intelligence to get to superintelligence. You'll also learn how questions are more important than answers, and hence the reasoning engine versus a search engine. You'll hear about Khai's experience in becoming a founder of companies. You'll learn what the whole idea of reasoning is and why companies need to move from data-driven and machine learning-driven to reasoning-driven.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Serial Entrepreneur, Khai Pham. You will learn why data science is an advantage in terms of mindset even to be an entrepreneur. You will hear about general artificial intelligence versus superintelligence, what are the differences and why you don't really need general artificial intelligence to get to superintelligence. You'll also learn how questions are more important than answers, and hence the reasoning engine versus a search engine. You'll hear about Khai's experience in becoming a founder of companies. You'll learn what the whole idea of reasoning is and why companies need to move from data-driven and machine learning-driven to reasoning-driven.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/277</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Serial Entrepreneur, Khai Pham. You will learn why data science is an advantage in terms of mindset even to be an entrepreneur. You will hear about general artificial intelligence versus superintelligence, what are the differences and why you don't really need general artificial intelligence to get to superintelligence. You'll also learn how questions are more important than answers, and hence the reasoning engine versus a search engine. You'll hear about Khai's experience in becoming a founder of companies. You'll learn what the whole idea of reasoning is and why companies need to move from data-driven and machine learning-driven to reasoning-driven.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/277">www.superdatascience.com/277</a></p>]]>
      </content:encoded>
      <itunes:duration>3867</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/649029686]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8747373755.mp3?updated=1723453146" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>276: Data Science in Wealth Management</title>
      <description>How can you use these processes in your industry?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/276</description>
      <pubDate>Fri, 05 Jul 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/98339b44-1c33-11ef-9765-a72eaaac286f/image/ddbb6aadc31a982bebdf89345a1658fc.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How can you use these processes in your industry? </itunes:subtitle>
      <itunes:summary>How can you use these processes in your industry?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/276</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How can you use these processes in your industry?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/276">www.superdatascience.com/276</a></p>]]>
      </content:encoded>
      <itunes:duration>980</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/646575186]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4184181679.mp3?updated=1727264917" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>275: Machine Learning Through Reinforcement &amp; Contextual Bandits</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Machine Learning Research Scientist, John Langford. You will hear about unsupervised, supervised learning and reinforcement learning, and the differences between the three. You will learn about applications of contextual bandits and reinforcement learning in general, YOLO style algorithms versus simulator algorithms, technics for avoiding local optimums. You will also learn about the balance between exploration and exploitation, learning to search and active learning.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/275</description>
      <pubDate>Wed, 03 Jul 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/992e3cd4-1c33-11ef-9765-8b77bdc0cc7a/image/17f8a54739eff501db26d5a5166f32bf.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Machine Learning Research Scientist, John Langford. You will hear about unsupervised, supervised learning and reinforcement learning, and the differences between the three. You will learn about applications of contextual bandits and reinforcement learning in general, YOLO style algorithms versus simulator algorithms, technics for avoiding local optimums. You will also learn about the balance between exploration and exploitation, learning to search and active learning.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Machine Learning Research Scientist, John Langford. You will hear about unsupervised, supervised learning and reinforcement learning, and the differences between the three. You will learn about applications of contextual bandits and reinforcement learning in general, YOLO style algorithms versus simulator algorithms, technics for avoiding local optimums. You will also learn about the balance between exploration and exploitation, learning to search and active learning.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/275</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Machine Learning Research Scientist, John Langford. You will hear about unsupervised, supervised learning and reinforcement learning, and the differences between the three. You will learn about applications of contextual bandits and reinforcement learning in general, YOLO style algorithms versus simulator algorithms, technics for avoiding local optimums. You will also learn about the balance between exploration and exploitation, learning to search and active learning.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/275">www.superdatascience.com/275</a></p>]]>
      </content:encoded>
      <itunes:duration>3714</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/645805632]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9139328908.mp3?updated=1723452783" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>274: Ask the Right Question</title>
      <description>What has happened to you recently that could call for clarity from a mentor or coach?
 
If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/274</description>
      <pubDate>Fri, 28 Jun 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9abb1bc6-1c33-11ef-9765-df1e6a1607c6/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What has happened to you recently that could call for clarity from a mentor or coach?</itunes:subtitle>
      <itunes:summary>What has happened to you recently that could call for clarity from a mentor or coach?
 
If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/274</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What has happened to you recently that could call for clarity from a mentor or coach?</p><p> </p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/274">www.superdatascience.com/274</a></p>]]>
      </content:encoded>
      <itunes:duration>864</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/643340283]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3297053761.mp3?updated=1723452704" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>273: Predict, Prevent, Detect: Cyber Security</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Matthew Rosenquist, one of the top leading world experts in the space of cybersecurity. You will learn what balance in cybersecurity means and what the dark web is. You will hear how Matthew's career developed and how he thinks about the strategy of cybersecurity. You will also learn about the valuable role of data science in cybersecurity and the steps you can take to get into this space.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/273</description>
      <pubDate>Wed, 26 Jun 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9bc1cab0-1c33-11ef-9765-9f3db6dd1f6a/image/48d3597351c709fef4bf74bc9f5c4a0f.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Matthew Rosenquist, one of the top leading world experts in the space of cybersecurity. You will learn what balance in cybersecurity means and what the dark web is. You will hear how Matthew's career developed and how he thinks about the strategy of cybersecurity. You will also learn about the valuable role of data science in cybersecurity and the steps you can take to get into this space.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Matthew Rosenquist, one of the top leading world experts in the space of cybersecurity. You will learn what balance in cybersecurity means and what the dark web is. You will hear how Matthew's career developed and how he thinks about the strategy of cybersecurity. You will also learn about the valuable role of data science in cybersecurity and the steps you can take to get into this space.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/273</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Matthew Rosenquist, one of the top leading world experts in the space of cybersecurity. You will learn what balance in cybersecurity means and what the dark web is. You will hear how Matthew's career developed and how he thinks about the strategy of cybersecurity. You will also learn about the valuable role of data science in cybersecurity and the steps you can take to get into this space.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/273">www.superdatascience.com/273</a></p>]]>
      </content:encoded>
      <itunes:duration>3978</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/642309327]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4303156871.mp3?updated=1722935781" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>272: Data Science in Energy</title>
      <description>How can you use data science to help keep the energy industry helpful and ethical towards the planet and future generations?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/272</description>
      <pubDate>Fri, 21 Jun 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9c4aa498-1c33-11ef-9765-2fdb3db0e6c8/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How can you use data science to help keep the energy industry helpful and ethical towards the planet and future generations?</itunes:subtitle>
      <itunes:summary>How can you use data science to help keep the energy industry helpful and ethical towards the planet and future generations?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/272</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How can you use data science to help keep the energy industry helpful and ethical towards the planet and future generations?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/272">www.superdatascience.com/272</a></p>]]>
      </content:encoded>
      <itunes:duration>865</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/639969228]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1764002305.mp3?updated=1722935748" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>271: Making the Public Graphically Literate</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the legend of visual journalism, Alberto Cairo, who talks about understanding if your data is measuring the right thing that you want to be measuring. You will hear about Simpson's paradox and the ecological fallacy. You will learn about the four kinds of literacy, exploratory data analysis versus communicating results, and how to create a narrative structure in your visualization and convey the insights in a certain way so that people can better understand them. And finally, you will hear about ethics in data visualization.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/271</description>
      <pubDate>Wed, 19 Jun 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9cd3f5cc-1c33-11ef-9765-234cae7b8e91/image/98840b23ce095ed01fdf6e73fb965098.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the legend of visual journalism, Alberto Cairo, who talks about understanding if your data is measuring the right thing that you want to be measuring. You will hear about Simpson's paradox and the ecological fallacy. You will learn about the four kinds of literacy, exploratory data analysis versus communicating results, and how to create a narrative structure in your visualization and convey the insights in a certain way so that people can better understand them. And finally, you will hear about ethics in data visualization.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the legend of visual journalism, Alberto Cairo, who talks about understanding if your data is measuring the right thing that you want to be measuring. You will hear about Simpson's paradox and the ecological fallacy. You will learn about the four kinds of literacy, exploratory data analysis versus communicating results, and how to create a narrative structure in your visualization and convey the insights in a certain way so that people can better understand them. And finally, you will hear about ethics in data visualization.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/271</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the legend of visual journalism, Alberto Cairo, who talks about understanding if your data is measuring the right thing that you want to be measuring. You will hear about Simpson's paradox and the ecological fallacy. You will learn about the four kinds of literacy, exploratory data analysis versus communicating results, and how to create a narrative structure in your visualization and convey the insights in a certain way so that people can better understand them. And finally, you will hear about ethics in data visualization.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/271">www.superdatascience.com/271</a></p>]]>
      </content:encoded>
      <itunes:duration>3934</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/638932719]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6581322672.mp3?updated=1722935716" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>270: The Cold is My Master</title>
      <description>How can you leverage this to help you focus on your work in data science?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/270</description>
      <pubDate>Fri, 14 Jun 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9d53a8a8-1c33-11ef-9765-87de7c51d826/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How can you leverage this to help you focus on your work in data science?</itunes:subtitle>
      <itunes:summary>How can you leverage this to help you focus on your work in data science?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/270</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How can you leverage this to help you focus on your work in data science?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/270">www.superdatascience.com/270</a></p>]]>
      </content:encoded>
      <itunes:duration>1484</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/636494328]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7663333080.mp3?updated=1722935683" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>269: Maximizing Advertising Efforts With Data</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Justin Fortier, the principal data scientist at ViralGains. You will hear about ad tech, performing insights, getting insights, and making decisions within milliseconds with data science. You will learn about the business impact, why business impact is ultra-important, and on the other hand, why user experience is an ultra-important factor for a data scientist to consider more and more in today's world. You'll also learn about Justin's path from managing data scientists at large organizations, to being the single data scientist at smaller startups and you will hear some very interesting decisions he made throughout his career.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/269</description>
      <pubDate>Wed, 12 Jun 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9dd4ec7e-1c33-11ef-9765-f3f58bf821c4/image/d95690154bc2e53727cb177400c78a5d.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Justin Fortier, the principal data scientist at ViralGains. You will hear about ad tech, performing insights, getting insights, and making decisions within milliseconds with data science. You will learn about the business impact, why business impact is ultra-important, and on the other hand, why user experience is an ultra-important factor for a data scientist to consider more and more in today's world. You'll also learn about Justin's path from managing data scientists at large organizations, to being the single data scientist at smaller startups and you will hear some very interesting decisions he made throughout his career.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Justin Fortier, the principal data scientist at ViralGains. You will hear about ad tech, performing insights, getting insights, and making decisions within milliseconds with data science. You will learn about the business impact, why business impact is ultra-important, and on the other hand, why user experience is an ultra-important factor for a data scientist to consider more and more in today's world. You'll also learn about Justin's path from managing data scientists at large organizations, to being the single data scientist at smaller startups and you will hear some very interesting decisions he made throughout his career.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/269</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Justin Fortier, the principal data scientist at ViralGains. You will hear about ad tech, performing insights, getting insights, and making decisions within milliseconds with data science. You will learn about the business impact, why business impact is ultra-important, and on the other hand, why user experience is an ultra-important factor for a data scientist to consider more and more in today's world. You'll also learn about Justin's path from managing data scientists at large organizations, to being the single data scientist at smaller startups and you will hear some very interesting decisions he made throughout his career.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/269">www.superdatascience.com/269</a></p>]]>
      </content:encoded>
      <itunes:duration>3825</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/635669613]]></guid>
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    </item>
    <item>
      <title>268: Data Science in Insurance</title>
      <description>How can you see data science disrupting and progressing the insurance industry in the future?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/268</description>
      <pubDate>Fri, 07 Jun 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9e3cf9f4-1c33-11ef-9765-4fbec1a38d1f/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How can you see data science disrupting and progressing the insurance industry in the future?</itunes:subtitle>
      <itunes:summary>How can you see data science disrupting and progressing the insurance industry in the future?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/268</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How can you see data science disrupting and progressing the insurance industry in the future?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/268">www.superdatascience.com/268</a></p>]]>
      </content:encoded>
      <itunes:duration>978</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/633073203]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7164670638.mp3?updated=1722935591" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>267: Achieving Data Science Maturity</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Manasi Vartak, founder and CEO at Verta.ai. You will learn about model tracking, versioning, and maintenance. You will also learn what data maturity means and what are the 3 areas where top-tier data science teams are investing in. You will hear a great discussion about the boom that will happen with machine learning in the next 3 years and what you can do to prepare your career or your business for the future.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/267</description>
      <pubDate>Wed, 05 Jun 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9ebeedd8-1c33-11ef-9765-7fc2d2e92248/image/acede0c66ecd14c81dde7b12e18c2d02.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Manasi Vartak, founder and CEO at Verta.ai. You will learn about model tracking, versioning, and maintenance. You will also learn what data maturity means and what are the 3 areas where top-tier data science teams are investing in. You will hear a great discussion about the boom that will happen with machine learning in the next 3 years and what you can do to prepare your career or your business for the future.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Manasi Vartak, founder and CEO at Verta.ai. You will learn about model tracking, versioning, and maintenance. You will also learn what data maturity means and what are the 3 areas where top-tier data science teams are investing in. You will hear a great discussion about the boom that will happen with machine learning in the next 3 years and what you can do to prepare your career or your business for the future.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/267</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Manasi Vartak, founder and CEO at Verta.ai. You will learn about model tracking, versioning, and maintenance. You will also learn what data maturity means and what are the 3 areas where top-tier data science teams are investing in. You will hear a great discussion about the boom that will happen with machine learning in the next 3 years and what you can do to prepare your career or your business for the future.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/267">www.superdatascience.com/267</a></p>]]>
      </content:encoded>
      <itunes:duration>3409</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/632206947]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4895709251.mp3?updated=1722935556" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>266: Exploration vs Exploitation</title>
      <description>Where are you overexploiting patterns in your life and where can you be more open to some exploration?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/266</description>
      <pubDate>Fri, 31 May 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9f5b19c4-1c33-11ef-9765-4baa9f5bd3cf/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Where are you overexploiting patterns in your life and where can you be more open to some exploration?</itunes:subtitle>
      <itunes:summary>Where are you overexploiting patterns in your life and where can you be more open to some exploration?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/266</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Where are you overexploiting patterns in your life and where can you be more open to some exploration?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/266">www.superdatascience.com/266</a></p>]]>
      </content:encoded>
      <itunes:duration>909</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/629425764]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6303432736.mp3?updated=1722935523" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>265: Data Science in the World of Big Data</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Frank Kane, an expert and top instructor in the field of big data, who also worked in Amazon for 10 years. You will learn how data science and big data have been different but are now converging into something that is very intertwined. You will hear about recommender systems such as user-based and item-based collaborative filtering as well as other types of recommender systems and where this space of recommender systems is going. You will also hear about singular value decomposition or SVD model-based methods, deep learning and Amazon DSSTNE. And in the end, you will learn some very valuable tips on how to get hired by big companies like Amazon.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/265</description>
      <pubDate>Wed, 29 May 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9fd26e8e-1c33-11ef-9765-2bb5d8e4ace6/image/103ac143e9152114a6da8dae96e92c10.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Frank Kane, an expert and top instructor in the field of big data, who also worked in Amazon for 10 years. You will learn how data science and big data have been different but are now converging into something that is very intertwined. You will hear about recommender systems such as user-based and item-based collaborative filtering as well as other types of recommender systems and where this space of recommender systems is going. You will also hear about singular value decomposition or SVD model-based methods, deep learning and Amazon DSSTNE. And in the end, you will learn some very valuable tips on how to get hired by big companies like Amazon.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Frank Kane, an expert and top instructor in the field of big data, who also worked in Amazon for 10 years. You will learn how data science and big data have been different but are now converging into something that is very intertwined. You will hear about recommender systems such as user-based and item-based collaborative filtering as well as other types of recommender systems and where this space of recommender systems is going. You will also hear about singular value decomposition or SVD model-based methods, deep learning and Amazon DSSTNE. And in the end, you will learn some very valuable tips on how to get hired by big companies like Amazon.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/265</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Frank Kane, an expert and top instructor in the field of big data, who also worked in Amazon for 10 years. You will learn how data science and big data have been different but are now converging into something that is very intertwined. You will hear about recommender systems such as user-based and item-based collaborative filtering as well as other types of recommender systems and where this space of recommender systems is going. You will also hear about singular value decomposition or SVD model-based methods, deep learning and Amazon DSSTNE. And in the end, you will learn some very valuable tips on how to get hired by big companies like Amazon.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/265">www.superdatascience.com/265</a></p>]]>
      </content:encoded>
      <itunes:duration>3712</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/628498788]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7753484439.mp3?updated=1722935489" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>264: Data Science in Agriculture</title>
      <description>How do you see data science continuing to improve the world’s most important industry?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/264</description>
      <pubDate>Fri, 24 May 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a053d80c-1c33-11ef-9765-13764b92338d/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How do you see data science continuing to improve the world’s most important industry?</itunes:subtitle>
      <itunes:summary>How do you see data science continuing to improve the world’s most important industry?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/264</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How do you see data science continuing to improve the world’s most important industry?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/264">www.superdatascience.com/264</a></p>]]>
      </content:encoded>
      <itunes:duration>648</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/625842054]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5934305030.mp3?updated=1722935457" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>263: Communicating Data</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Eoin Murray, the founder of Kyso.io, a platform where you can blog about your data science projects using tools such as Jupyter notebooks. You will learn what the platform means for data scientists and how you can use it to build your online presence and online portfolio. You will hear about startups and how you can jump into creating a startup, what accelerators are, what angel investors are, and what venture capital funds are. Yu will also hear where data science is going and whether or not data science should be a certified profession.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/263</description>
      <pubDate>Wed, 22 May 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a0fb73dc-1c33-11ef-9765-435bca8da841/image/31627cab0e5eb67a3bd502be4e125e03.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Eoin Murray, the founder of Kyso.io, a platform where you can blog about your data science projects using tools such as Jupyter notebooks. You will learn what the platform means for data scientists and how you can use it to build your online presence and online portfolio. You will hear about startups and how you can jump into creating a startup, what accelerators are, what angel investors are, and what venture capital funds are. Yu will also hear where data science is going and whether or not data science should be a certified profession.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Eoin Murray, the founder of Kyso.io, a platform where you can blog about your data science projects using tools such as Jupyter notebooks. You will learn what the platform means for data scientists and how you can use it to build your online presence and online portfolio. You will hear about startups and how you can jump into creating a startup, what accelerators are, what angel investors are, and what venture capital funds are. Yu will also hear where data science is going and whether or not data science should be a certified profession.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/263</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Eoin Murray, the founder of Kyso.io, a platform where you can blog about your data science projects using tools such as Jupyter notebooks. You will learn what the platform means for data scientists and how you can use it to build your online presence and online portfolio. You will hear about startups and how you can jump into creating a startup, what accelerators are, what angel investors are, and what venture capital funds are. Yu will also hear where data science is going and whether or not data science should be a certified profession.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/263">www.superdatascience.com/263</a></p>]]>
      </content:encoded>
      <itunes:duration>3680</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/624801402]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4602192580.mp3?updated=1722935423" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>262: You Cannot Make Progress Without a Routine</title>
      <description>How can you put a routine on a goal you’re trying to achieve?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/262</description>
      <pubDate>Fri, 17 May 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a29130d8-1c33-11ef-9765-9bcb286800fd/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How can you put a routine on a goal you’re trying to achieve?</itunes:subtitle>
      <itunes:summary>How can you put a routine on a goal you’re trying to achieve?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/262</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How can you put a routine on a goal you’re trying to achieve?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/262">www.superdatascience.com/262</a></p>]]>
      </content:encoded>
      <itunes:duration>676</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/621988101]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8677784500.mp3?updated=1722935390" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>261: Succeeding in Data Science with the Trichotomy of Control</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Andrei Lyskov, a data science writer, who shares not only his experience but also his research and his thoughts and ideas in the space of getting a job in data science. You will learn about the trichotomy of control and the stages involved in job interviews in data science. You will also learn about the importance of referrals and portfolio, and you will hear about learning how to learn.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/261</description>
      <pubDate>Wed, 15 May 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a312bbd0-1c33-11ef-9765-0b5bdf1f5d02/image/6a480e73915ee1111ea6d9c1af1e6011.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Andrei Lyskov, a data science writer, who shares not only his experience but also his research and his thoughts and ideas in the space of getting a job in data science. You will learn about the trichotomy of control and the stages involved in job interviews in data science. You will also learn about the importance of referrals and portfolio, and you will hear about learning how to learn.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Andrei Lyskov, a data science writer, who shares not only his experience but also his research and his thoughts and ideas in the space of getting a job in data science. You will learn about the trichotomy of control and the stages involved in job interviews in data science. You will also learn about the importance of referrals and portfolio, and you will hear about learning how to learn.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/261</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Andrei Lyskov, a data science writer, who shares not only his experience but also his research and his thoughts and ideas in the space of getting a job in data science. You will learn about the trichotomy of control and the stages involved in job interviews in data science. You will also learn about the importance of referrals and portfolio, and you will hear about learning how to learn.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/261">www.superdatascience.com/261</a></p>]]>
      </content:encoded>
      <itunes:duration>3767</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/621030750]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5507750787.mp3?updated=1722935357" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>260: Data Science in Real Estate</title>
      <description>How can we, as data scientists, scale the existing technologies in real estate?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/260</description>
      <pubDate>Fri, 10 May 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a393abb4-1c33-11ef-9765-c35b40ed332f/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How can we, as data scientists, scale the existing technologies in real estate?</itunes:subtitle>
      <itunes:summary>How can we, as data scientists, scale the existing technologies in real estate?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/260</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How can we, as data scientists, scale the existing technologies in real estate?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/260">www.superdatascience.com/260</a></p>]]>
      </content:encoded>
      <itunes:duration>805</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/618499068]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5588960905.mp3?updated=1722935319" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>259: Building Machine Autonomy With Neural Networks</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Stephen Welch, a computer vision and neural networks expert who will share a ton of information about the space of self-driving cars. You will learn about self-driving cars starting from the history of neural networks and how that was associated with self-driving cars from the '60s, '70s, '80s and all the way until now. You'll also learn about autonomous driving and the three components in the neural networks related to autonomous driving and what they are and how they work. You will find out about the five different levels of autonomous driving and what to expect in the next 10-20 years. You will hear a case study of how machine learning can be applied to historically older industries and you will also hear some very valuable career advice.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/259</description>
      <pubDate>Wed, 08 May 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a40bd65c-1c33-11ef-9765-f32df25dff01/image/2d4ff4a6a54348e0d73e99f5e9ee4b35.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Stephen Welch, a computer vision and neural networks expert who will share a ton of information about the space of self-driving cars. You will learn about self-driving cars starting from the history of neural networks and how that was associated with self-driving cars from the '60s, '70s, '80s and all the way until now. You'll also learn about autonomous driving and the three components in the neural networks related to autonomous driving and what they are and how they work. You will find out about the five different levels of autonomous driving and what to expect in the next 10-20 years. You will hear a case study of how machine learning can be applied to historically older industries and you will also hear some very valuable career advice.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Stephen Welch, a computer vision and neural networks expert who will share a ton of information about the space of self-driving cars. You will learn about self-driving cars starting from the history of neural networks and how that was associated with self-driving cars from the '60s, '70s, '80s and all the way until now. You'll also learn about autonomous driving and the three components in the neural networks related to autonomous driving and what they are and how they work. You will find out about the five different levels of autonomous driving and what to expect in the next 10-20 years. You will hear a case study of how machine learning can be applied to historically older industries and you will also hear some very valuable career advice.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/259</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Stephen Welch, a computer vision and neural networks expert who will share a ton of information about the space of self-driving cars. You will learn about self-driving cars starting from the history of neural networks and how that was associated with self-driving cars from the '60s, '70s, '80s and all the way until now. You'll also learn about autonomous driving and the three components in the neural networks related to autonomous driving and what they are and how they work. You will find out about the five different levels of autonomous driving and what to expect in the next 10-20 years. You will hear a case study of how machine learning can be applied to historically older industries and you will also hear some very valuable career advice.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/259">www.superdatascience.com/259</a></p>]]>
      </content:encoded>
      <itunes:duration>3589</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/617586849]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9843403167.mp3?updated=1722848532" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>258: Eating S.L.O.W.L.Y.</title>
      <description>How can you work S.L.O.W.L.Y. into your daily routine?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/258</description>
      <pubDate>Fri, 03 May 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a4a50a16-1c33-11ef-9765-f7c987aa7d9b/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How can you work S.L.O.W.L.Y. into your daily routine?</itunes:subtitle>
      <itunes:summary>How can you work S.L.O.W.L.Y. into your daily routine?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/258</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How can you work S.L.O.W.L.Y. into your daily routine?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/258">www.superdatascience.com/258</a></p>]]>
      </content:encoded>
      <itunes:duration>1078</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/615088155]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7583596598.mp3?updated=1722848498" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>257: AI: How Far We Haven’t Actually Come</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Melanie Mitchell, one of the leading researchers in the field of AI. You will learn about complexity, what it is and how it works, and how it can be seen in different areas of life. You will hear about common sense, meta-cognition, explainable AI, and you will also hear Melanie's ideas and thoughts on the future of AI, which break down into two areas which you'll find out in this podcast.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/257</description>
      <pubDate>Wed, 01 May 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a7422510-1c33-11ef-9765-23b85333e709/image/99a0f2dfd0c4443fb9454ea1e7576998.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Melanie Mitchell, one of the leading researchers in the field of AI. You will learn about complexity, what it is and how it works, and how it can be seen in different areas of life. You will hear about common sense, meta-cognition, explainable AI, and you will also hear Melanie's ideas and thoughts on the future of AI, which break down into two areas which you'll find out in this podcast.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Melanie Mitchell, one of the leading researchers in the field of AI. You will learn about complexity, what it is and how it works, and how it can be seen in different areas of life. You will hear about common sense, meta-cognition, explainable AI, and you will also hear Melanie's ideas and thoughts on the future of AI, which break down into two areas which you'll find out in this podcast.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/257</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Melanie Mitchell, one of the leading researchers in the field of AI. You will learn about complexity, what it is and how it works, and how it can be seen in different areas of life. You will hear about common sense, meta-cognition, explainable AI, and you will also hear Melanie's ideas and thoughts on the future of AI, which break down into two areas which you'll find out in this podcast.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/257">www.superdatascience.com/257</a></p>]]>
      </content:encoded>
      <itunes:duration>3745</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/614098530]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1061655840.mp3?updated=1722848465" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>256: Data Science in Transportation</title>
      <description>How do you see data science assisting in the transportation industry in the future?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/256</description>
      <pubDate>Fri, 26 Apr 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a7bf8f14-1c33-11ef-9765-3b0ffe6ccfe1/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How do you see data science assisting in the transportation industry in the future?</itunes:subtitle>
      <itunes:summary>How do you see data science assisting in the transportation industry in the future?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/256</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How do you see data science assisting in the transportation industry in the future?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/256">www.superdatascience.com/256</a></p>]]>
      </content:encoded>
      <itunes:duration>835</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/611671833]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4670461906.mp3?updated=1722848429" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>255: Diving Into Computer Vision</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the founder of PyImageSearch.com, Adrian Rosebrock, who gives us a great overview of the space of computer vision. You will learn what computer vision was in the past, what it is now, and most importantly, what it will be in the future and what you need to prepare for if you're interested in computer vision. You will also learn about OpenCV and how to quickly get started with it as it is one of the most popular libraries and tools for computer vision in the world right now.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/255</description>
      <pubDate>Wed, 24 Apr 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a9592830-1c33-11ef-9765-43c0cf06ff7e/image/c0fe133dd1278974210f5f8551ee2822.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the founder of PyImageSearch.com, Adrian Rosebrock, who gives us a great overview of the space of computer vision. You will learn what computer vision was in the past, what it is now, and most importantly, what it will be in the future and what you need to prepare for if you're interested in computer vision. You will also learn about OpenCV and how to quickly get started with it as it is one of the most popular libraries and tools for computer vision in the world right now.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the founder of PyImageSearch.com, Adrian Rosebrock, who gives us a great overview of the space of computer vision. You will learn what computer vision was in the past, what it is now, and most importantly, what it will be in the future and what you need to prepare for if you're interested in computer vision. You will also learn about OpenCV and how to quickly get started with it as it is one of the most popular libraries and tools for computer vision in the world right now.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/255</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the founder of PyImageSearch.com, Adrian Rosebrock, who gives us a great overview of the space of computer vision. You will learn what computer vision was in the past, what it is now, and most importantly, what it will be in the future and what you need to prepare for if you're interested in computer vision. You will also learn about OpenCV and how to quickly get started with it as it is one of the most popular libraries and tools for computer vision in the world right now.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/255">www.superdatascience.com/255</a></p>]]>
      </content:encoded>
      <itunes:duration>3372</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/610716852]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5229324199.mp3?updated=1722848396" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>254: Two Wolves</title>
      <description>What negative and positive emotions do you find most often acknowledging in yourself?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/254</description>
      <pubDate>Fri, 19 Apr 2019 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/a9d5d72c-1c33-11ef-9765-af3d7cc0d48c/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What negative and positive emotions do you find most often acknowledging in yourself?</itunes:subtitle>
      <itunes:summary>What negative and positive emotions do you find most often acknowledging in yourself?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/254</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What negative and positive emotions do you find most often acknowledging in yourself?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/254">www.superdatascience.com/254</a></p>]]>
      </content:encoded>
      <itunes:duration>370</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/608335698]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6706725653.mp3?updated=1722848364" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>253: Solving Problems With Data Science &amp; Uber</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Associate Professor at the University of California San Diego, Bradley Voytek, who was the first data scientist, and the person to kickstart data science at Uber. You will hear a lot about his past work at Uber and his current work at UCSD. You will learn 4 valuable philosophical points about data science being a separate field and you will also learn what data science skills can help you resist automation.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/253</description>
      <pubDate>Wed, 17 Apr 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/aa5116e4-1c33-11ef-9765-ff441c95a36b/image/0d144fe90e321c1ec07eafd284a29b08.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Associate Professor at the University of California San Diego, Bradley Voytek, who was the first data scientist, and the person to kickstart data science at Uber. You will hear a lot about his past work at Uber and his current work at UCSD. You will learn 4 valuable philosophical points about data science being a separate field and you will also learn what data science skills can help you resist automation.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Associate Professor at the University of California San Diego, Bradley Voytek, who was the first data scientist, and the person to kickstart data science at Uber. You will hear a lot about his past work at Uber and his current work at UCSD. You will learn 4 valuable philosophical points about data science being a separate field and you will also learn what data science skills can help you resist automation.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/253</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Associate Professor at the University of California San Diego, Bradley Voytek, who was the first data scientist, and the person to kickstart data science at Uber. You will hear a lot about his past work at Uber and his current work at UCSD. You will learn 4 valuable philosophical points about data science being a separate field and you will also learn what data science skills can help you resist automation.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/253">www.superdatascience.com/253</a></p>]]>
      </content:encoded>
      <itunes:duration>4494</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/607342548]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6732424601.mp3?updated=1722848322" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>252: Data Science In Construction</title>
      <description>What other problems in construction can you think of that data science could offer a solution for?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/252</description>
      <pubDate>Fri, 12 Apr 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/aad678c0-1c33-11ef-9765-e3b74c014910/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What other problems in construction can you think of that data science could offer a solution for?</itunes:subtitle>
      <itunes:summary>What other problems in construction can you think of that data science could offer a solution for?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/252</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What other problems in construction can you think of that data science could offer a solution for?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/252">www.superdatascience.com/252</a></p>]]>
      </content:encoded>
      <itunes:duration>799</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/604871259]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5489319122.mp3?updated=1722848290" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>251: Transforming the Identity Authentication Space</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the CEO and Data Scientist at TypingDNA. You will hear about a brand new industry which is transforming everything we know about security. You will learn about typing biometrics and how it works and how machine learning and data science enable this industry to go forward. You will also hear what is like to run a data science startup and how to go from an idea to research and finally to creating a business.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/251</description>
      <pubDate>Wed, 10 Apr 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ab544f84-1c33-11ef-9765-3fd6b6dcf270/image/44eef78947861039c5dd6a34c99fc61d.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the CEO and Data Scientist at TypingDNA. You will hear about a brand new industry which is transforming everything we know about security. You will learn about typing biometrics and how it works and how machine learning and data science enable this industry to go forward. You will also hear what is like to run a data science startup and how to go from an idea to research and finally to creating a business.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the CEO and Data Scientist at TypingDNA. You will hear about a brand new industry which is transforming everything we know about security. You will learn about typing biometrics and how it works and how machine learning and data science enable this industry to go forward. You will also hear what is like to run a data science startup and how to go from an idea to research and finally to creating a business.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/251</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the CEO and Data Scientist at TypingDNA. You will hear about a brand new industry which is transforming everything we know about security. You will learn about typing biometrics and how it works and how machine learning and data science enable this industry to go forward. You will also hear what is like to run a data science startup and how to go from an idea to research and finally to creating a business.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/251">www.superdatascience.com/251</a></p>]]>
      </content:encoded>
      <itunes:duration>3925</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/600211530]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8314071416.mp3?updated=1722848243" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>250: Guilt vs Shame</title>
      <description>How can you pivot your way of talking about actions and yourself to make negative feelings productive?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/250</description>
      <pubDate>Fri, 05 Apr 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/abbed8cc-1c33-11ef-9765-63e97970e743/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How can you pivot your way of talking about actions and yourself to make negative feelings productive?</itunes:subtitle>
      <itunes:summary>How can you pivot your way of talking about actions and yourself to make negative feelings productive?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/250</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How can you pivot your way of talking about actions and yourself to make negative feelings productive?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/250">www.superdatascience.com/250</a></p>]]>
      </content:encoded>
      <itunes:duration>822</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/601287078]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7552552479.mp3?updated=1722848211" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>249: Diving Into Data Science Consulting</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the CEO and Co-Founder of SFL Scientific, Michael Segala, who is joining us for the second time to share his overview of data science consulting and data science projects overall. You will hear some amazing case studies which include healthcare imaging, logistics and supply chain, and the space of energy. You will also learn about the challenge of small data and how to deal with unbalanced data sets.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/249</description>
      <pubDate>Wed, 03 Apr 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ac258496-1c33-11ef-9765-cfd71085a7d5/image/72e1fbc373178870576d954399219404.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the CEO and Co-Founder of SFL Scientific, Michael Segala, who is joining us for the second time to share his overview of data science consulting and data science projects overall. You will hear some amazing case studies which include healthcare imaging, logistics and supply chain, and the space of energy. You will also learn about the challenge of small data and how to deal with unbalanced data sets.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the CEO and Co-Founder of SFL Scientific, Michael Segala, who is joining us for the second time to share his overview of data science consulting and data science projects overall. You will hear some amazing case studies which include healthcare imaging, logistics and supply chain, and the space of energy. You will also learn about the challenge of small data and how to deal with unbalanced data sets.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/249</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the CEO and Co-Founder of SFL Scientific, Michael Segala, who is joining us for the second time to share his overview of data science consulting and data science projects overall. You will hear some amazing case studies which include healthcare imaging, logistics and supply chain, and the space of energy. You will also learn about the challenge of small data and how to deal with unbalanced data sets.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/249">www.superdatascience.com/249</a></p>]]>
      </content:encoded>
      <itunes:duration>4261</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/599738490]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2268672018.mp3?updated=1722848169" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>248: Data Science in Government</title>
      <description>How has data science implementation in government helped improve your community?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/248</description>
      <pubDate>Fri, 29 Mar 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/acae30c0-1c33-11ef-9765-83b6ce1f3aa2/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How has data science implementation in government helped improve your community?</itunes:subtitle>
      <itunes:summary>How has data science implementation in government helped improve your community?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/248</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How has data science implementation in government helped improve your community?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/248">www.superdatascience.com/248</a></p>]]>
      </content:encoded>
      <itunes:duration>765</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/597788361]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6203443652.mp3?updated=1722848138" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>247: The Science Fact of Technology, AI, &amp; Social Media</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Pablos Holman, the famous hacker, inventor, and entrepreneur. You will hear how artificial intelligence is impacting the world, what Maslow's hierarchy of needs is, and how that is affected by technology. You will also hear what roles Data Science and machine learning are playing in the future of the world.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/247</description>
      <pubDate>Wed, 27 Mar 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ad234266-1c33-11ef-9765-93a06b1e1ba0/image/94fb65bee1cd4ae112e15d83c9d3412c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Pablos Holman, the famous hacker, inventor, and entrepreneur. You will hear how artificial intelligence is impacting the world, what Maslow's hierarchy of needs is, and how that is affected by technology. You will also hear what roles Data Science and machine learning are playing in the future of the world.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Pablos Holman, the famous hacker, inventor, and entrepreneur. You will hear how artificial intelligence is impacting the world, what Maslow's hierarchy of needs is, and how that is affected by technology. You will also hear what roles Data Science and machine learning are playing in the future of the world.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/247</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Pablos Holman, the famous hacker, inventor, and entrepreneur. You will hear how artificial intelligence is impacting the world, what Maslow's hierarchy of needs is, and how that is affected by technology. You will also hear what roles Data Science and machine learning are playing in the future of the world.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/247">www.superdatascience.com/247</a></p>]]>
      </content:encoded>
      <itunes:duration>3547</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/596667864]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5987281002.mp3?updated=1722848107" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>246: Boost Your Self-Confidence</title>
      <description>How will you prepare yourself for imperfection going forward?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/246</description>
      <pubDate>Fri, 22 Mar 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ad97e49a-1c33-11ef-9765-7722fe2a216b/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How will you prepare yourself for imperfection going forward?</itunes:subtitle>
      <itunes:summary>How will you prepare yourself for imperfection going forward?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/246</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How will you prepare yourself for imperfection going forward?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/246">www.superdatascience.com/246</a></p>]]>
      </content:encoded>
      <itunes:duration>967</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/594041397]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2251893728.mp3?updated=1722848056" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>245: Knowing What You Need to Know With Data Science</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Seasoned Executive Luis Blanco about his amazing career journey from which you will gain very valuable insights for your career development. Also, you will learn about fact-based decision-making cultures, how to create and nurture them and you will also learn about cross-departmental work and sharing models between departments.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/245</description>
      <pubDate>Wed, 20 Mar 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ae3a8fc4-1c33-11ef-9765-c36074af05c2/image/f2599710b69416edd60be8d8405041dd.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Seasoned Executive Luis Blanco about his amazing career journey from which you will gain very valuable insights for your career development. Also, you will learn about fact-based decision-making cultures, how to create and nurture them and you will also learn about cross-departmental work and sharing models between departments.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Seasoned Executive Luis Blanco about his amazing career journey from which you will gain very valuable insights for your career development. Also, you will learn about fact-based decision-making cultures, how to create and nurture them and you will also learn about cross-departmental work and sharing models between departments.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/245</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Seasoned Executive Luis Blanco about his amazing career journey from which you will gain very valuable insights for your career development. Also, you will learn about fact-based decision-making cultures, how to create and nurture them and you will also learn about cross-departmental work and sharing models between departments.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/245">www.superdatascience.com/245</a></p>]]>
      </content:encoded>
      <itunes:duration>3679</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/592957377]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6469607504.mp3?updated=1722848024" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>244: Data Science in Entertainment</title>
      <description>How do you experience data science in your everyday use of entertainment media?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/244</description>
      <pubDate>Fri, 15 Mar 2019 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/aebf8af8-1c33-11ef-9765-8f14fd0213ec/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How do you experience data science in your everyday use of entertainment media?</itunes:subtitle>
      <itunes:summary>How do you experience data science in your everyday use of entertainment media?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/244</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How do you experience data science in your everyday use of entertainment media?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/244">www.superdatascience.com/244</a></p>]]>
      </content:encoded>
      <itunes:duration>976</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/590434272]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7120498333.mp3?updated=1722847982" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>243: Geospatial Analytics: Where Data Science &amp; Actuarial Science Meet</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Senior Underwriter Dominic Roe about his actuarial work and the pioneering and implementation of a risk assessment method he’s utilized for insurance companies that’s now widespread across Australia. You will hear a very detailed explanation of how he built his model. You will also learn about geodemographic segmentation and hear some very interesting use cases of geodemographic segmentation in data science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/243</description>
      <pubDate>Wed, 13 Mar 2019 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/af315610-1c33-11ef-9765-9bdfa4f062ca/image/adc457b806f6af2d84816aba9156ffd2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Senior Underwriter Dominic Roe about his actuarial work and the pioneering and implementation of a risk assessment method he’s utilized for insurance companies that’s now widespread across Australia. You will hear a very detailed explanation of how he built his model. You will also learn about geodemographic segmentation and hear some very interesting use cases of geodemographic segmentation in data science.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Senior Underwriter Dominic Roe about his actuarial work and the pioneering and implementation of a risk assessment method he’s utilized for insurance companies that’s now widespread across Australia. You will hear a very detailed explanation of how he built his model. You will also learn about geodemographic segmentation and hear some very interesting use cases of geodemographic segmentation in data science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/243</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Senior Underwriter Dominic Roe about his actuarial work and the pioneering and implementation of a risk assessment method he’s utilized for insurance companies that’s now widespread across Australia. You will hear a very detailed explanation of how he built his model. You will also learn about geodemographic segmentation and hear some very interesting use cases of geodemographic segmentation in data science.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/243">www.superdatascience.com/243</a></p>]]>
      </content:encoded>
      <itunes:duration>3984</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/589370046]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9180877460.mp3?updated=1722847951" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>242: Meditation</title>
      <description>Do you use meditation to more efficiently filter your thoughts during both work and leisure time?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/242</description>
      <pubDate>Fri, 08 Mar 2019 16:44:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/afbbc002-1c33-11ef-9765-0b869f5b2ba2/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Do you use meditation to more efficiently filter your thoughts during both work and leisure time?</itunes:subtitle>
      <itunes:summary>Do you use meditation to more efficiently filter your thoughts during both work and leisure time?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/242</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Do you use meditation to more efficiently filter your thoughts during both work and leisure time?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/242">www.superdatascience.com/242</a></p>]]>
      </content:encoded>
      <itunes:duration>706</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/586950264]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7096406412.mp3?updated=1722847918" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>241: Pushing the Boundaries in Mental Healthcare with Data Science</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Dr. Guillermo Cecchi about the role of data science in medical research and maybe even the future of artificial intelligence. You will learn how data science and artificial intelligence are pushing the boundaries of mental healthcare. You will hear some very interesting approaches about getting insights from audio samples of patients’ voices and their speech and you will also learn about the development of some fascinating techniques, like transferring intuitive knowledge from professionals in the healthcare field into algorithms.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/241</description>
      <pubDate>Thu, 07 Mar 2019 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b1d1f8e8-1c33-11ef-9765-633a1891e286/image/5594131f00c3a71ceaadd4514dd6ec65.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Dr. Guillermo Cecchi about the role of data science in medical research and maybe even the future of artificial intelligence. You will learn how data science and artificial intelligence are pushing the boundaries of mental healthcare. You will hear some very interesting approaches about getting insights from audio samples of patients’ voices and their speech and you will also learn about the development of some fascinating techniques, like transferring intuitive knowledge from professionals in the healthcare field into algorithms.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Dr. Guillermo Cecchi about the role of data science in medical research and maybe even the future of artificial intelligence. You will learn how data science and artificial intelligence are pushing the boundaries of mental healthcare. You will hear some very interesting approaches about getting insights from audio samples of patients’ voices and their speech and you will also learn about the development of some fascinating techniques, like transferring intuitive knowledge from professionals in the healthcare field into algorithms.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/241</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Dr. Guillermo Cecchi about the role of data science in medical research and maybe even the future of artificial intelligence. You will learn how data science and artificial intelligence are pushing the boundaries of mental healthcare. You will hear some very interesting approaches about getting insights from audio samples of patients’ voices and their speech and you will also learn about the development of some fascinating techniques, like transferring intuitive knowledge from professionals in the healthcare field into algorithms.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/241">www.superdatascience.com/241</a></p>]]>
      </content:encoded>
      <itunes:duration>3688</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/585793557]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6202765832.mp3?updated=1722847846" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>240: State of Artificial Intelligence in Business</title>
      <description>How would you approach adopting AI into your business?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/240</description>
      <pubDate>Fri, 01 Mar 2019 13:07:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b24867c6-1c33-11ef-9765-e7a93c990364/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How would you approach adopting AI into your business?</itunes:subtitle>
      <itunes:summary>How would you approach adopting AI into your business?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/240</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How would you approach adopting AI into your business?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/240">www.superdatascience.com/240</a></p>]]>
      </content:encoded>
      <itunes:duration>1947</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/583285956]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3890161108.mp3?updated=1722847808" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>239: From Candidate to Career: Pathways for Data Scientists</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Data Science Headhunter and Head of Analytics Recruitment at IT Search and Selection, Adrian Clarke. You will learn about the state of the data science industry globally and the different data science roles that exist in the world. You will also learn what to expect in terms of data science salaries and why there is a huge demand for data scientists. You will hear about the concept of hybrid professional and a lot of valuable career insights.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/239</description>
      <pubDate>Thu, 28 Feb 2019 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b2e20d9a-1c33-11ef-9765-bb68d9cfe717/image/a7353f4052779726a1ae36d40bebc7cc.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Data Science Headhunter and Head of Analytics Recruitment at IT Search and Selection, Adrian Clarke. You will learn about the state of the data science industry globally and the different data science roles that exist in the world. You will also learn what to expect in terms of data science salaries and why there is a huge demand for data scientists. You will hear about the concept of hybrid professional and a lot of valuable career insights.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Data Science Headhunter and Head of Analytics Recruitment at IT Search and Selection, Adrian Clarke. You will learn about the state of the data science industry globally and the different data science roles that exist in the world. You will also learn what to expect in terms of data science salaries and why there is a huge demand for data scientists. You will hear about the concept of hybrid professional and a lot of valuable career insights.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/239</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Data Science Headhunter and Head of Analytics Recruitment at IT Search and Selection, Adrian Clarke. You will learn about the state of the data science industry globally and the different data science roles that exist in the world. You will also learn what to expect in terms of data science salaries and why there is a huge demand for data scientists. You will hear about the concept of hybrid professional and a lot of valuable career insights.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/239">www.superdatascience.com/239</a></p>]]>
      </content:encoded>
      <itunes:duration>3814</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/582272661]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7314657700.mp3?updated=1722847774" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>238: Data Science in Banking</title>
      <description>What aspect of banking can you see making the best use of data science?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/238</description>
      <pubDate>Fri, 22 Feb 2019 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b3d26240-1c33-11ef-9765-5be76d82ad24/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What aspect of banking can you see making the best use of data science?</itunes:subtitle>
      <itunes:summary>What aspect of banking can you see making the best use of data science?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/238</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What aspect of banking can you see making the best use of data science?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/238">www.superdatascience.com/238</a></p>]]>
      </content:encoded>
      <itunes:duration>795</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/579454461]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2151117483.mp3?updated=1722847741" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>237: Data Privacy, GDPR, and You</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the principal attorney, Jessica Merlet, who is an extremely experienced lawyer and gives us an excellent breakdown of what GDPR is. You will learn all about GDPR, from requirements for capturing and storing to processing data under GDPR. You will also learn some important terms such as data controller, data processor, affirmative consent, sensitive information and you will also learn what are the 4 pillars of GDPR and the 6 legal bases for capturing and processing data.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/237</description>
      <pubDate>Thu, 21 Feb 2019 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b45d2e84-1c33-11ef-9765-7bac6c1f726d/image/3bd84d96aa4e7b23689e59f9a6bef579.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the principal attorney, Jessica Merlet, who is an extremely experienced lawyer and gives us an excellent breakdown of what GDPR is. You will learn all about GDPR, from requirements for capturing and storing to processing data under GDPR. You will also learn some important terms such as data controller, data processor, affirmative consent, sensitive information and you will also learn what are the 4 pillars of GDPR and the 6 legal bases for capturing and processing data.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the principal attorney, Jessica Merlet, who is an extremely experienced lawyer and gives us an excellent breakdown of what GDPR is. You will learn all about GDPR, from requirements for capturing and storing to processing data under GDPR. You will also learn some important terms such as data controller, data processor, affirmative consent, sensitive information and you will also learn what are the 4 pillars of GDPR and the 6 legal bases for capturing and processing data.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/237</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the principal attorney, Jessica Merlet, who is an extremely experienced lawyer and gives us an excellent breakdown of what GDPR is. You will learn all about GDPR, from requirements for capturing and storing to processing data under GDPR. You will also learn some important terms such as data controller, data processor, affirmative consent, sensitive information and you will also learn what are the 4 pillars of GDPR and the 6 legal bases for capturing and processing data.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/237">www.superdatascience.com/237</a></p>]]>
      </content:encoded>
      <itunes:duration>4652</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/578508492]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4158387988.mp3?updated=1722847713" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>236: How to Deal with Negative Emotions</title>
      <description>What negative emotion has been difficult for you to control lately?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/236</description>
      <pubDate>Fri, 15 Feb 2019 14:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b4e6737e-1c33-11ef-9765-871ac117e78d/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What negative emotion has been difficult for you to control lately?</itunes:subtitle>
      <itunes:summary>What negative emotion has been difficult for you to control lately?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/236</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What negative emotion has been difficult for you to control lately?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/236">www.superdatascience.com/236</a></p>]]>
      </content:encoded>
      <itunes:duration>522</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/575812830]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7456806681.mp3?updated=1722847674" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>235: Living the Dream With Data Science</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Data Science Consultant, Nic Ryan, who does a great job in combining the technical and consulting/mentoring part of data science in his career. You will hear Nic's journey of creating his remote career and a balanced work-family relationship, along with some valuable tips you can apply to your own career. You will also hear about natural language processing and some examples of his work.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/235</description>
      <pubDate>Thu, 14 Feb 2019 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b55aa064-1c33-11ef-9765-b3a7f1d7dab2/image/98919a5fc467e0b6daabe48a9d957e33.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Data Science Consultant, Nic Ryan, who does a great job in combining the technical and consulting/mentoring part of data science in his career. You will hear Nic's journey of creating his remote career and a balanced work-family relationship, along with some valuable tips you can apply to your own career. You will also hear about natural language processing and some examples of his work.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Data Science Consultant, Nic Ryan, who does a great job in combining the technical and consulting/mentoring part of data science in his career. You will hear Nic's journey of creating his remote career and a balanced work-family relationship, along with some valuable tips you can apply to your own career. You will also hear about natural language processing and some examples of his work.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/235</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Data Science Consultant, Nic Ryan, who does a great job in combining the technical and consulting/mentoring part of data science in his career. You will hear Nic's journey of creating his remote career and a balanced work-family relationship, along with some valuable tips you can apply to your own career. You will also hear about natural language processing and some examples of his work.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/235">www.superdatascience.com/235</a></p>]]>
      </content:encoded>
      <itunes:duration>3795</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/574780092]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5004429329.mp3?updated=1722847642" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>234: Data Science in Education</title>
      <description>What challenges have you seen lately in educational institutions where data science or AI can help?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/234</description>
      <pubDate>Fri, 08 Feb 2019 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b5d9d44c-1c33-11ef-9765-4bc04d972074/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What challenges have you seen lately in educational institutions where data science or AI can help?</itunes:subtitle>
      <itunes:summary>What challenges have you seen lately in educational institutions where data science or AI can help?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/234</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What challenges have you seen lately in educational institutions where data science or AI can help?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/234">www.superdatascience.com/234</a></p>]]>
      </content:encoded>
      <itunes:duration>788</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/572101086]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8279276240.mp3?updated=1722847608" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>233: High Octane Data Science Leadership at Red Bull</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Director of Data Science at Red Bull, Josh Muncke, who gives us some very valuable insights. You will hear a couple of case studies of how Red Bull uses Data Science, you will learn how Data Science Leadership is an important area for businesses in Data Science and you will also learn about the importance of asking good data questions.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/233</description>
      <pubDate>Thu, 07 Feb 2019 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b65c7244-1c33-11ef-9765-73c16a558239/image/4d68e0e80995ebb2e765a1492f87d086.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Director of Data Science at Red Bull, Josh Muncke, who gives us some very valuable insights. You will hear a couple of case studies of how Red Bull uses Data Science, you will learn how Data Science Leadership is an important area for businesses in Data Science and you will also learn about the importance of asking good data questions.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Director of Data Science at Red Bull, Josh Muncke, who gives us some very valuable insights. You will hear a couple of case studies of how Red Bull uses Data Science, you will learn how Data Science Leadership is an important area for businesses in Data Science and you will also learn about the importance of asking good data questions.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/233</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Director of Data Science at Red Bull, Josh Muncke, who gives us some very valuable insights. You will hear a couple of case studies of how Red Bull uses Data Science, you will learn how Data Science Leadership is an important area for businesses in Data Science and you will also learn about the importance of asking good data questions.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/233">www.superdatascience.com/233</a></p>]]>
      </content:encoded>
      <itunes:duration>3560</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/571021014]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4538581708.mp3?updated=1722847566" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>232: Sleep on it</title>
      <description>How do you approach your roadblocks?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/232</description>
      <pubDate>Fri, 01 Feb 2019 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b6cd3c40-1c33-11ef-9765-43673a96b6b2/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How do you approach your roadblocks?</itunes:subtitle>
      <itunes:summary>How do you approach your roadblocks?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/232</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How do you approach your roadblocks?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/232">www.superdatascience.com/232</a></p>]]>
      </content:encoded>
      <itunes:duration>631</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/568436553]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4518125709.mp3?updated=1722847464" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>231: Data Visualizers: The Storytellers of Data Science</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the professional data visualizer, Mollie Pettit. You will learn about the difference between a data scientist and a data visualizer. You will also learn about the D3.js javascript library, when to use it and how you can benefit from using it. You will hear one of Mollie's case studies and how she participates in projects that use Data Science to contribute to the world.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/231</description>
      <pubDate>Thu, 31 Jan 2019 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b74dc540-1c33-11ef-9765-b3620de38f97/image/a2cddad7b9d90caa60cd39ab9dfe3beb.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the professional data visualizer, Mollie Pettit. You will learn about the difference between a data scientist and a data visualizer. You will also learn about the D3.js javascript library, when to use it and how you can benefit from using it. You will hear one of Mollie's case studies and how she participates in projects that use Data Science to contribute to the world.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the professional data visualizer, Mollie Pettit. You will learn about the difference between a data scientist and a data visualizer. You will also learn about the D3.js javascript library, when to use it and how you can benefit from using it. You will hear one of Mollie's case studies and how she participates in projects that use Data Science to contribute to the world.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/231</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the professional data visualizer, Mollie Pettit. You will learn about the difference between a data scientist and a data visualizer. You will also learn about the D3.js javascript library, when to use it and how you can benefit from using it. You will hear one of Mollie's case studies and how she participates in projects that use Data Science to contribute to the world.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/231">www.superdatascience.com/231</a></p>]]>
      </content:encoded>
      <itunes:duration>3812</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/567205728]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5932047192.mp3?updated=1722847434" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>230: SuperDataScience 2.0</title>
      <description>How will SuperDataScience 2.0 serve you now and in the future?
SuperDataScience 2.0 is available at: www.superdatascience.com/yes

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/230</description>
      <pubDate>Fri, 25 Jan 2019 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b7c66bee-1c33-11ef-9765-1b54a094706b/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How will SuperDataScience 2.0 serve you now and in the future?</itunes:subtitle>
      <itunes:summary>How will SuperDataScience 2.0 serve you now and in the future?
SuperDataScience 2.0 is available at: www.superdatascience.com/yes

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/230</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How will SuperDataScience 2.0 serve you now and in the future?</p><p>SuperDataScience 2.0 is available at: <a href="https://gate.sc/?url=http%3A%2F%2Fwww.superdatascience.com%2Fyes&amp;token=1f523a-1-1715877084614">www.superdatascience.com/yes</a></p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/230">www.superdatascience.com/230</a></p>]]>
      </content:encoded>
      <itunes:duration>636</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/564400341]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9222822668.mp3?updated=1722847400" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>229: Data-Driven Approach of Doing Business</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Co-Founder at Cursor, Adam Weinstein. You will hear Adam's journey from working at LinkedIn to founding his own company. You will learn about the concepts of Data Literacy and Citizen Data Scientist, how Cursor can help you on this journey and what does it mean for an organization to be Data Literate and Data Driven.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/229</description>
      <pubDate>Thu, 24 Jan 2019 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b9452802-1c33-11ef-9765-c37ffd862d64/image/8ad62743ae5e378a476f63904eaf3791.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Co-Founder at Cursor, Adam Weinstein. You will hear Adam's journey from working at LinkedIn to founding his own company. You will learn about the concepts of Data Literacy and Citizen Data Scientist, how Cursor can help you on this journey and what does it mean for an organization to be Data Literate and Data Driven.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Co-Founder at Cursor, Adam Weinstein. You will hear Adam's journey from working at LinkedIn to founding his own company. You will learn about the concepts of Data Literacy and Citizen Data Scientist, how Cursor can help you on this journey and what does it mean for an organization to be Data Literate and Data Driven.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/229</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Co-Founder at Cursor, Adam Weinstein. You will hear Adam's journey from working at LinkedIn to founding his own company. You will learn about the concepts of Data Literacy and Citizen Data Scientist, how Cursor can help you on this journey and what does it mean for an organization to be Data Literate and Data Driven.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/229">www.superdatascience.com/229</a></p>]]>
      </content:encoded>
      <itunes:duration>3502</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>228: Data Science in Mining</title>
      <description>What more can you add to the list of how the mining industry can benefit from data science?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/228</description>
      <pubDate>Fri, 18 Jan 2019 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b9fce3fc-1c33-11ef-9765-fb68a576765f/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What more can you add to the list of how the mining industry can benefit from data science?</itunes:subtitle>
      <itunes:summary>What more can you add to the list of how the mining industry can benefit from data science?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/228</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What more can you add to the list of how the mining industry can benefit from data science?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/228">www.superdatascience.com/228</a></p>]]>
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      <itunes:duration>1237</itunes:duration>
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    </item>
    <item>
      <title>227: Enhancing Your Mobile Gaming Experience With Data Science</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Data Science Influencer, Sarah Nooravi, who inspires the data science community in many different ways. You will hear about Sarah's background and interests, from culinary chef to nuclear fusion, and how she found her way to data science. You will also hear a specific case study of data science in the marketing and mobile gaming industry and Sarah's role in it. You will learn about diversity in data science and how the community can help inspire data scientists to be successful.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/227</description>
      <pubDate>Thu, 17 Jan 2019 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/bed27f0e-1c33-11ef-9765-eb32204f9284/image/149411ca698a1537cc927d04bf76fe62.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Data Science Influencer, Sarah Nooravi, who inspires the data science community in many different ways. You will hear about Sarah's background and interests, from culinary chef to nuclear fusion, and how she found her way to data science. You will also hear a specific case study of data science in marketing and mobile gaming industry and Sarah's role in it. You will learn about diversity in data science and how the community can help inspire data scientists to be successful.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Data Science Influencer, Sarah Nooravi, who inspires the data science community in many different ways. You will hear about Sarah's background and interests, from culinary chef to nuclear fusion, and how she found her way to data science. You will also hear a specific case study of data science in the marketing and mobile gaming industry and Sarah's role in it. You will learn about diversity in data science and how the community can help inspire data scientists to be successful.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/227</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Data Science Influencer, Sarah Nooravi, who inspires the data science community in many different ways. You will hear about Sarah's background and interests, from culinary chef to nuclear fusion, and how she found her way to data science. You will also hear a specific case study of data science in the marketing and mobile gaming industry and Sarah's role in it. You will learn about diversity in data science and how the community can help inspire data scientists to be successful.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/227">www.superdatascience.com/227</a></p>]]>
      </content:encoded>
      <itunes:duration>3689</itunes:duration>
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    <item>
      <title>226: Flat Tyres Happen</title>
      <description>What do you consider your ‘flat tyre’ recently and how did you approach it?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/226</description>
      <pubDate>Fri, 11 Jan 2019 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/bf3f79ba-1c33-11ef-9765-1f8f478af0a2/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What do you consider your ‘flat tyre’ recently and how did you approach it?</itunes:subtitle>
      <itunes:summary>What do you consider your ‘flat tyre’ recently and how did you approach it?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/226</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What do you consider your ‘flat tyre’ recently and how did you approach it?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/226">www.superdatascience.com/226</a></p>]]>
      </content:encoded>
      <itunes:duration>233</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5441848590.mp3?updated=1722584090" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>225: The Benefit of Having a Diverse Skill Set</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Business Development Specialist at Velocity Group, Anna Foard who have built an amazing data science career in very short time, besides being a mother of two children. You will hear how she is challenging and conquering the field of Data Science from many different perspectives. You will learn about her strategic approach to her career and how she has managed to meet and work on projects with many of her heroes in Data Science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/225</description>
      <pubDate>Thu, 10 Jan 2019 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/bfbc93e6-1c33-11ef-9765-5beac64f92b3/image/7bd509b6d06cc54ff134c8900b5c5ed9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Business Development Specialist at Velocity Group, Anna Foard who have built an amazing data science career in very short time, besides being a mother of two children. You will hear how she is challenging and conquering the field of Data Science from many different perspectives. You will learn about her strategic approach to her career and how she has managed to meet and work on projects with many of her heroes in Data Science.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Business Development Specialist at Velocity Group, Anna Foard who have built an amazing data science career in very short time, besides being a mother of two children. You will hear how she is challenging and conquering the field of Data Science from many different perspectives. You will learn about her strategic approach to her career and how she has managed to meet and work on projects with many of her heroes in Data Science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/225</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Business Development Specialist at Velocity Group, Anna Foard who have built an amazing data science career in very short time, besides being a mother of two children. You will hear how she is challenging and conquering the field of Data Science from many different perspectives. You will learn about her strategic approach to her career and how she has managed to meet and work on projects with many of her heroes in Data Science.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/225">www.superdatascience.com/225</a></p>]]>
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      <itunes:duration>3463</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>224: Hacks For Reading More Books</title>
      <description>What great books can you suggest for others to read this year?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/224</description>
      <pubDate>Fri, 04 Jan 2019 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c034cfa0-1c33-11ef-9765-dfe98eb5cd5f/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What great books can you suggest for others to read this year?</itunes:subtitle>
      <itunes:summary>What great books can you suggest for others to read this year?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/224</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What great books can you suggest for others to read this year?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/224">www.superdatascience.com/224</a></p>]]>
      </content:encoded>
      <itunes:duration>590</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>223: Data Science Trends for 2019</title>
      <description>In this episode of the SuperDataScience Podcast, Hadelin de Ponteves and I discuss the accuracy rate of the predictions we made for 2018. We also discuss the key AI and technology trends to look out for in 2019 which can help you structure your carrier and design your path through technology.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/223</description>
      <pubDate>Thu, 03 Jan 2019 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c0ce9fc2-1c33-11ef-9765-e393eabfc516/image/f1c481419e906d6f2e4988e30e73fc46.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, Hadelin de Ponteves and I discuss the accuracy rate of the predictions we made for 2018. We also discuss the key AI and technology trends to look out for in 2019 which can help you structure your carrier and design your path through technology.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, Hadelin de Ponteves and I discuss the accuracy rate of the predictions we made for 2018. We also discuss the key AI and technology trends to look out for in 2019 which can help you structure your carrier and design your path through technology.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/223</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, Hadelin de Ponteves and I discuss the accuracy rate of the predictions we made for 2018. We also discuss the key AI and technology trends to look out for in 2019 which can help you structure your carrier and design your path through technology.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/223">www.superdatascience.com/223</a></p>]]>
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      <itunes:duration>6802</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>222: 2018 in Numbers</title>
      <description>What key trend do you think will continue in the year 2019?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/222</description>
      <pubDate>Fri, 28 Dec 2018 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ac201c5c-50a6-11ef-9d1e-ef05b7f0fdb2/image/1af3930d7ee61bf32a74f645c9d0f945.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What key trend do you think will continue in the year 2019?</itunes:subtitle>
      <itunes:summary>What key trend do you think will continue in the year 2019?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/222</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What key trend do you think will continue in the year 2019?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/222">www.superdatascience.com/222</a></p>]]>
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      <itunes:duration>562</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>221: 1-on-1 with Kirill: What I learned in 2018</title>
      <description>In this episode of the SuperDataScience Podcast, I reflect on 2018 and share top 7 things I learned in this year.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/221</description>
      <pubDate>Thu, 27 Dec 2018 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c1470ba6-1c33-11ef-9765-c3f8800f0e09/image/b620472b0c14918ca039ea3940941d5c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I reflect on 2018 and share top 7 things I learned in this year.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I reflect on 2018 and share top 7 things I learned in this year.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/221</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I reflect on 2018 and share top 7 things I learned in this year.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/221">www.superdatascience.com/221</a></p>]]>
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      <itunes:duration>7080</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>220: Data Science in Retail</title>
      <description>What big help does data science do for you when you do your shopping?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/220</description>
      <pubDate>Fri, 21 Dec 2018 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c1b60420-1c33-11ef-9765-cb1bd2806730/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What big help does data science do for you when you do your shopping?</itunes:subtitle>
      <itunes:summary>What big help does data science do for you when you do your shopping?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/220</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What big help does data science do for you when you do your shopping?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/220">www.superdatascience.com/220</a></p>]]>
      </content:encoded>
      <itunes:duration>847</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8674887007.mp3?updated=1722583882" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>219: How Kaplan uses Data for Education</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Vice President of Measurement and Evaluation at Kaplan, David Niemi. You will hear how David applies data in the space of education in order to extract insights and understand how the learning journey can be improved. You will learn some very valuable tips about learning and you will also hear how the education industry is booming and is going to keep growing.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/219</description>
      <pubDate>Thu, 20 Dec 2018 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c2306602-1c33-11ef-9765-338d3d63cd6b/image/cb0797d1fbf067ac8a815a9070ebebf1.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Vice President of Measurement and Evaluation at Kaplan, David Niemi. You will hear how David applies data in the space of education in order to extract insights and understand how the learning journey can be improved. You will learn some very valuable tips about learning and you will also hear how the education industry is booming and is going to keep growing.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Vice President of Measurement and Evaluation at Kaplan, David Niemi. You will hear how David applies data in the space of education in order to extract insights and understand how the learning journey can be improved. You will learn some very valuable tips about learning and you will also hear how the education industry is booming and is going to keep growing.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/219</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Vice President of Measurement and Evaluation at Kaplan, David Niemi. You will hear how David applies data in the space of education in order to extract insights and understand how the learning journey can be improved. You will learn some very valuable tips about learning and you will also hear how the education industry is booming and is going to keep growing.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/219">www.superdatascience.com/219</a></p>]]>
      </content:encoded>
      <itunes:duration>3870</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>218: Start A Great Day</title>
      <description>What’s the first thing you’ve written on the list of things that you should be grateful for?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/218</description>
      <pubDate>Fri, 14 Dec 2018 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c2b47118-1c33-11ef-9765-8b1bff512786/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What’s the first thing you’ve written on the list of things that you should be grateful for?</itunes:subtitle>
      <itunes:summary>What’s the first thing you’ve written on the list of things that you should be grateful for?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/218</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What’s the first thing you’ve written on the list of things that you should be grateful for?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/218">www.superdatascience.com/218</a></p>]]>
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      <itunes:duration>520</itunes:duration>
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    </item>
    <item>
      <title>217: Aerospace Engineers and Data Science</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the aerospace engineer, Carlos Hervás García, who works for Airbus. You will hear about Aerospace and Orbital Mechanics, the International Space Station and what aerospace engineers actually do. You will learn how Data Science, Machine Learning, Deep Learning, and Artificial Intelligence can be used in Aerospace Engineering and what value do these technologies bring to the field of Interplanetary Travel. You will also hear how Carlos combined his passions for Aerospace and Artificial Intelligence in his career journey.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/217</description>
      <pubDate>Thu, 13 Dec 2018 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c329952e-1c33-11ef-9765-6727792a11f2/image/f4bb3a15818ab5b35c1094e9042d16f8.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the aerospace engineer, Carlos Hervás García, who works for Airbus. You will hear about Aerospace and Orbital Mechanics, the International Space Station and what aerospace engineers actually do. You will learn how Data Science, Machine Learning, Deep Learning, and Artificial Intelligence can be used in Aerospace Engineering and what value do these technologies bring to the field of Interplanetary Travel. You will also hear how Carlos combined his passions for Aerospace and Artificial Intelligence in his career journey.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the aerospace engineer, Carlos Hervás García, who works for Airbus. You will hear about Aerospace and Orbital Mechanics, the International Space Station and what aerospace engineers actually do. You will learn how Data Science, Machine Learning, Deep Learning, and Artificial Intelligence can be used in Aerospace Engineering and what value do these technologies bring to the field of Interplanetary Travel. You will also hear how Carlos combined his passions for Aerospace and Artificial Intelligence in his career journey.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/217</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the aerospace engineer, Carlos Hervás García, who works for Airbus. You will hear about Aerospace and Orbital Mechanics, the International Space Station and what aerospace engineers actually do. You will learn how Data Science, Machine Learning, Deep Learning, and Artificial Intelligence can be used in Aerospace Engineering and what value do these technologies bring to the field of Interplanetary Travel. You will also hear how Carlos combined his passions for Aerospace and Artificial Intelligence in his career journey.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/217">www.superdatascience.com/217</a></p>]]>
      </content:encoded>
      <itunes:duration>3907</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/543847947]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2007387617.mp3?updated=1722583769" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>216: Data Science In Healthcare</title>
      <description>What do you think is the most significant application of data science in the healthcare industry so far?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/216</description>
      <pubDate>Fri, 07 Dec 2018 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c3a357f6-1c33-11ef-9765-9341d52c6f3b/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What do you think is the most significant application of data science in the healthcare industry so far?</itunes:subtitle>
      <itunes:summary>What do you think is the most significant application of data science in the healthcare industry so far?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/216</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What do you think is the most significant application of data science in the healthcare industry so far?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/216">www.superdatascience.com/216</a></p>]]>
      </content:encoded>
      <itunes:duration>774</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/541102542]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6141621495.mp3?updated=1722583733" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>215: Integrating Data Science as a Developer</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the full stack web developer and aspiring data scientist, Brian Dowe. You will hear what is like to go from developer to data scientist and how to integrate data science in your career as a developer. You will learn about the development, deployment and maintenance life cycle of models in business and you will hear some ideas on modeling in general.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/215</description>
      <pubDate>Thu, 06 Dec 2018 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c42283a0-1c33-11ef-9765-53de659c88d1/image/a5437709e6f3ebcfab32451a41e1de81.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the full stack web developer and aspiring data scientist, Brian Dowe. You will hear what is like to go from developer to data scientist and how to integrate data science in your career as a developer. You will learn about the development, deployment and maintenance life cycle of models in business and you will hear some ideas on modeling in general.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the full stack web developer and aspiring data scientist, Brian Dowe. You will hear what is like to go from developer to data scientist and how to integrate data science in your career as a developer. You will learn about the development, deployment and maintenance life cycle of models in business and you will hear some ideas on modeling in general.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/215</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the full stack web developer and aspiring data scientist, Brian Dowe. You will hear what is like to go from developer to data scientist and how to integrate data science in your career as a developer. You will learn about the development, deployment and maintenance life cycle of models in business and you will hear some ideas on modeling in general.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/215">www.superdatascience.com/215</a></p>]]>
      </content:encoded>
      <itunes:duration>3998</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/540202629]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2326048422.mp3?updated=1722583704" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>214: What Is Amazing In Your Life</title>
      <description>What in your life is super amazing right now?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/214</description>
      <pubDate>Fri, 30 Nov 2018 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c49d17aa-1c33-11ef-9765-4fae8981788c/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What in your life is super amazing right now?</itunes:subtitle>
      <itunes:summary>What in your life is super amazing right now?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/214</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What in your life is super amazing right now?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/214">www.superdatascience.com/214</a></p>]]>
      </content:encoded>
      <itunes:duration>273</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/537682929]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3628799749.mp3?updated=1722583672" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>213: Amazing Tips from Two Legends of Visualization</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the legends of visualization, Andy Kriebel and Eva Murray. You will learn about visualization and why it is important for data scientists and machine learning experts to know how to visualize data. You will also hear some amazing tips from their brand new creation, MakeoverMonday the Book.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/213</description>
      <pubDate>Thu, 29 Nov 2018 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c511f2fa-1c33-11ef-9765-57e1b05deb32/image/268a71a70ec8fa478f0a16c12ee6b17a.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the legends of visualization, Andy Kriebel and Eva Murray. You will learn about visualization and why it is important for data scientists and machine learning experts to know how to visualize data. You will also hear some amazing tips from their brand new creation, MakeoverMonday the Book.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the legends of visualization, Andy Kriebel and Eva Murray. You will learn about visualization and why it is important for data scientists and machine learning experts to know how to visualize data. You will also hear some amazing tips from their brand new creation, MakeoverMonday the Book.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/213</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the legends of visualization, Andy Kriebel and Eva Murray. You will learn about visualization and why it is important for data scientists and machine learning experts to know how to visualize data. You will also hear some amazing tips from their brand new creation, MakeoverMonday the Book.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/213">www.superdatascience.com/213</a></p>]]>
      </content:encoded>
      <itunes:duration>2732</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/536679513]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3553858672.mp3?updated=1722583641" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>212: Model Driven Vs Data Driven</title>
      <description>Are you willing to make the digital shift to be a model-driven business?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/212</description>
      <pubDate>Fri, 23 Nov 2018 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c59e2798-1c33-11ef-9765-e791ff82b542/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Are you willing to make the digital shift to be a model-driven business?</itunes:subtitle>
      <itunes:summary>Are you willing to make the digital shift to be a model-driven business?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/212</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Are you willing to make the digital shift to be a model-driven business?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/212">www.superdatascience.com/212</a></p>]]>
      </content:encoded>
      <itunes:duration>461</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/534297141]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4736687298.mp3?updated=1722583603" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>211: Working on Apache Spark &amp; R Package Development</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the software engineer at RStudio, Javier Luraschi, who has ton of passion for RStudio and developing packages, Apache Spark, Big Data and Big Compute. You will learn about Big Data and the whole history of Big Data, about Apache Spark, why it was created, what is used for, how it compares with Hadoop, how it’s developed through the time and how it’s developing now. You will also hear about package development in RStudio and some exciting things happening in that space.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/211</description>
      <pubDate>Thu, 22 Nov 2018 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c690089c-1c33-11ef-9765-ef5580cede03/image/8c048e4267aa91aad2fa6eec707de0d6.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the software engineer at RStudio, Javier Luraschi, who has ton of passion for RStudio and developing packages, Apache Spark, Big Data and Big Compute. You will learn about Big Data and the whole history of Big Data, about Apache Spark, why it was created, what is used for, how it compares with Hadoop, how it’s developed through the time and how it’s developing now. You will also hear about package development in RStudio and some exciting things happening in that space.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the software engineer at RStudio, Javier Luraschi, who has ton of passion for RStudio and developing packages, Apache Spark, Big Data and Big Compute. You will learn about Big Data and the whole history of Big Data, about Apache Spark, why it was created, what is used for, how it compares with Hadoop, how it’s developed through the time and how it’s developing now. You will also hear about package development in RStudio and some exciting things happening in that space.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/211</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the software engineer at RStudio, Javier Luraschi, who has ton of passion for RStudio and developing packages, Apache Spark, Big Data and Big Compute. You will learn about Big Data and the whole history of Big Data, about Apache Spark, why it was created, what is used for, how it compares with Hadoop, how it’s developed through the time and how it’s developing now. You will also hear about package development in RStudio and some exciting things happening in that space.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/211">www.superdatascience.com/211</a></p>]]>
      </content:encoded>
      <itunes:duration>3708</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/533385570]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9954703111.mp3?updated=1722583572" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>210: Compete With Yourself</title>
      <description>What area in your life do you think you’ve plateaued? What will you do to level up your game in this area?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/210</description>
      <pubDate>Fri, 16 Nov 2018 13:03:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c7069f34-1c33-11ef-9765-8b10209b3588/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What area in your life do you think you’ve plateaued? What will you do to level up your game in this area?</itunes:subtitle>
      <itunes:summary>What area in your life do you think you’ve plateaued? What will you do to level up your game in this area?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/210</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What area in your life do you think you’ve plateaued? What will you do to level up your game in this area?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/210">www.superdatascience.com/210</a></p>]]>
      </content:encoded>
      <itunes:duration>493</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/530768694]]></guid>
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    </item>
    <item>
      <title>SDS 209: Full-Time Data Scientist after just 1 year in the field</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the aspiring Data Scientist, Rio Branham, who now has a full-time job as a data scientist after just 1 year in the field. You will learn about the difference between data science and econometrics, what kind of tools and techniques Rio uses and what his aspirations are. You will also hear about Rio’s approach to learning which together with Rio's mindset, make this a very inspirational podcast episode. Rio makes a reckless commitment for 2019 right on this podcast.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/209</description>
      <pubDate>Thu, 15 Nov 2018 00:00:08 -0000</pubDate>
      <itunes:title>SDS 209: Full-Time Data Scientist after just 1 year in the field</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c77e8fbc-1c33-11ef-9765-63ef815bd3ae/image/695805ab7cd8daf6d9de28a578c58a25.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the aspiring Data Scientist, Rio Branham, who now has a full-time job as a data scientist after just 1 year in the field. You will learn about the difference between data science and econometrics, what kind of tools and techniques Rio uses and what his aspirations are. You will also hear about Rio’s approach to learning which together with Rio's mindset, make this a very inspirational podcast episode. Rio makes a reckless commitment...</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the aspiring Data Scientist, Rio Branham, who now has a full-time job as a data scientist after just 1 year in the field. You will learn about the difference between data science and econometrics, what kind of tools and techniques Rio uses and what his aspirations are. You will also hear about Rio’s approach to learning which together with Rio's mindset, make this a very inspirational podcast episode. Rio makes a reckless commitment for 2019 right on this podcast.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/209</itunes:summary>
      <content:encoded>
        <![CDATA[In this episode of the SuperDataScience Podcast, I chat with the aspiring Data Scientist, Rio Branham, who now has a full-time job as a data scientist after just 1 year in the field. You will learn about the difference between data science and econometrics, what kind of tools and techniques Rio uses and what his aspirations are. You will also hear about Rio’s approach to learning which together with Rio's mindset, make this a very inspirational podcast episode. Rio makes a reckless commitment for 2019 right on this podcast.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/209]]>
      </content:encoded>
      <itunes:duration>4162</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/529780590]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1347252976.mp3?updated=1716819719" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>208: Re-live DSGO2018</title>
      <description>What talk are you particularly looking forward to listening to again?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/208</description>
      <pubDate>Fri, 09 Nov 2018 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c7e804f6-1c33-11ef-9765-0b7b60ad6f40/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What talk are you particularly looking forward to listening to again?</itunes:subtitle>
      <itunes:summary>What talk are you particularly looking forward to listening to again?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/208</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What talk are you particularly looking forward to listening to again?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/208">www.superdatascience.com/208</a></p>]]>
      </content:encoded>
      <itunes:duration>375</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/527077788]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1828195323.mp3?updated=1722583488" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>207: The Technical Skills that Actually Add Business Value</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Data Science Influencer, Data Science Podcast Co-Host and future Data Science Author, Kristen Kehrer. You will hear Kristen's valuable tips about using different data science tools, especially R and Python and how they complement each other, you will learn about the technical skills that actually add business value and you'll hear valuable tips on how to better structure your resume.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/207</description>
      <pubDate>Thu, 08 Nov 2018 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c88d2986-1c33-11ef-9765-ab25787eb729/image/8236458d548abfc597f0f0721b7c99a2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Data Science Influencer, Data Science Podcast Co-Host and future Data Science Author, Kristen Kehrer. You will hear Kristen's valuable tips about using different data science tools, especially R and Python and how they complement each other, you will learn about the technical skills that actually add business value and you'll hear valuable tips on how to better structure your resume.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Data Science Influencer, Data Science Podcast Co-Host and future Data Science Author, Kristen Kehrer. You will hear Kristen's valuable tips about using different data science tools, especially R and Python and how they complement each other, you will learn about the technical skills that actually add business value and you'll hear valuable tips on how to better structure your resume.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/207</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Data Science Influencer, Data Science Podcast Co-Host and future Data Science Author, Kristen Kehrer. You will hear Kristen's valuable tips about using different data science tools, especially R and Python and how they complement each other, you will learn about the technical skills that actually add business value and you'll hear valuable tips on how to better structure your resume.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/207">www.superdatascience.com/207</a></p>]]>
      </content:encoded>
      <itunes:duration>3941</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/526339128]]></guid>
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    </item>
    <item>
      <title>206: Machine Learning is All Aroud You</title>
      <description>What online applications are your favorites?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/206</description>
      <pubDate>Fri, 02 Nov 2018 18:16:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c906f7fc-1c33-11ef-9765-0b4876899575/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What online applications are your favorites?</itunes:subtitle>
      <itunes:summary>What online applications are your favorites?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/206</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What online applications are your favorites?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/206">www.superdatascience.com/206</a></p>]]>
      </content:encoded>
      <itunes:duration>919</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/523844082]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4225364856.mp3?updated=1722583418" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>205: Contributing to the community as a Data Science Influencer</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Data Science Influencer and Data Science Author, Kate Strachnyi. You will hear about Kate's journey to becoming a data science influencer, know how she is massively contributing to the data science community, and get insights how to create a culture of data science within an organization.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/205</description>
      <pubDate>Wed, 31 Oct 2018 23:27:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c97a9bda-1c33-11ef-9765-f768efdc4ed8/image/6f3a8017d166545c0cad74df0db98764.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Data Science Influencer and Data Science Author, Kate Strachnyi. You will hear about Kate's journey to becoming a data science influencer, know how she is massively contributing to the data science community, and get insights how to create a culture of data science within an organization.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Data Science Influencer and Data Science Author, Kate Strachnyi. You will hear about Kate's journey to becoming a data science influencer, know how she is massively contributing to the data science community, and get insights how to create a culture of data science within an organization.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/205</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Data Science Influencer and Data Science Author, Kate Strachnyi. You will hear about Kate's journey to becoming a data science influencer, know how she is massively contributing to the data science community, and get insights how to create a culture of data science within an organization.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/205">www.superdatascience.com/205</a></p>]]>
      </content:encoded>
      <itunes:duration>3385</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/522943668]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2619365323.mp3?updated=1722583379" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>204: Set Your Goals Higher</title>
      <description>What massive goal are you looking to achieve lately?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/204</description>
      <pubDate>Fri, 26 Oct 2018 16:15:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c9f1d84e-1c33-11ef-9765-dff84b903bc3/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What massive goal are you looking to achieve lately?</itunes:subtitle>
      <itunes:summary>What massive goal are you looking to achieve lately?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/204</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What massive goal are you looking to achieve lately?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/204">www.superdatascience.com/204</a></p>]]>
      </content:encoded>
      <itunes:duration>863</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/520289019]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2964334131.mp3?updated=1722583327" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>203: Highlights of DSGO 2018 According to an Aspiring Data Scientist</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the aspiring data scientist, Sasha Prokhorova. You will learn about Sasha's background experience and journey to Data Science, get valuable tips on how to get recognized and get job offers in the space of Data Science, and also get to hear some of the key things that she had learned from the speakers during the DSGO 2018 event.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/203</description>
      <pubDate>Wed, 24 Oct 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ca5f4488-1c33-11ef-9765-0fbc7614bc8f/image/4a8e8ab90222630ad1c928b3ea865b17.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the aspiring data scientist, Sasha Prokhorova. You will learn about Sasha's background experience and journey to Data Science, get valuable tips on how to get recognized and get job offers in the space of Data Science, and also get to hear some of the key things that she had learned from the speakers during the DSGO 2018 event.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the aspiring data scientist, Sasha Prokhorova. You will learn about Sasha's background experience and journey to Data Science, get valuable tips on how to get recognized and get job offers in the space of Data Science, and also get to hear some of the key things that she had learned from the speakers during the DSGO 2018 event.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/203</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the aspiring data scientist, Sasha Prokhorova. You will learn about Sasha's background experience and journey to Data Science, get valuable tips on how to get recognized and get job offers in the space of Data Science, and also get to hear some of the key things that she had learned from the speakers during the DSGO 2018 event.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/203">www.superdatascience.com/203</a></p>]]>
      </content:encoded>
      <itunes:duration>3557</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/519377379]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9539902262.mp3?updated=1722583248" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>202: Ideas and Execution</title>
      <description>In what ways can you make your ideas valuable?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/202</description>
      <pubDate>Fri, 19 Oct 2018 14:54:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/caea7aa8-1c33-11ef-9765-9bd4a6877add/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In what ways can you make your ideas valuable?</itunes:subtitle>
      <itunes:summary>In what ways can you make your ideas valuable?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/202</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In what ways can you make your ideas valuable?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/202">www.superdatascience.com/202</a></p>]]>
      </content:encoded>
      <itunes:duration>442</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/516719877]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1970273964.mp3?updated=1722583208" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>201: Emerging Technologies: Challenges and Opportunities in a Revolutionized World</title>
      <description>In this episode of the SuperDataScience Podcast, we will listen to the Panel Discussion on emerging technologies during the DataScienceGO 2018 event in San Diego California, last October 12-14. Our panelists were 4 valuable persons in the space of Data Science, we have the Senior Solution Architect at NVIDIA - Mark Skinner, Manager of Data Science at TrueCar - Rachel Wang, Chief AI Officer at Ziff, Inc - Ben Taylor, and the world-renowned speaker, inventor, hacker, and entrepreneur - Pablos Holman. You will listen to a very insightful panel discussion we had during DSGO where we covered many topics including Blockchain, AI, Deep Learning, Machine Learning and disruption, startups, and a lot more.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/201</description>
      <pubDate>Thu, 18 Oct 2018 00:06:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/cb6fb1a0-1c33-11ef-9765-dfab0356001f/image/d8d7f04ca2859220669fdfacaf63e247.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, we will listen to the Panel Discussion on emerging technologies during the DataScienceGO 2018 event in San Diego California, last October 12-14. Our panelists were 4 valuable persons in the space of Data Science, we have the Senior Solution Architect at NVIDIA - Mark Skinner, Manager of Data Science at TrueCar - Rachel Wang, Chief AI Officer at Ziff, Inc - Ben Taylor, and the world-renowned speaker, inventor, hacker, and entrepreneur - Pablos Holman. You will listen to a very insightful panel discussion we had during DSGO where we covered many topics including Blockchain, AI, Deep Learning, Machine Learning and disruption, startups, and a lot more.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, we will listen to the Panel Discussion on emerging technologies during the DataScienceGO 2018 event in San Diego California, last October 12-14. Our panelists were 4 valuable persons in the space of Data Science, we have the Senior Solution Architect at NVIDIA - Mark Skinner, Manager of Data Science at TrueCar - Rachel Wang, Chief AI Officer at Ziff, Inc - Ben Taylor, and the world-renowned speaker, inventor, hacker, and entrepreneur - Pablos Holman. You will listen to a very insightful panel discussion we had during DSGO where we covered many topics including Blockchain, AI, Deep Learning, Machine Learning and disruption, startups, and a lot more.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/201</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, we will listen to the Panel Discussion on emerging technologies during the DataScienceGO 2018 event in San Diego California, last October 12-14. Our panelists were 4 valuable persons in the space of Data Science, we have the Senior Solution Architect at NVIDIA - Mark Skinner, Manager of Data Science at TrueCar - Rachel Wang, Chief AI Officer at Ziff, Inc - Ben Taylor, and the world-renowned speaker, inventor, hacker, and entrepreneur - Pablos Holman. You will listen to a very insightful panel discussion we had during DSGO where we covered many topics including Blockchain, AI, Deep Learning, Machine Learning and disruption, startups, and a lot more.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/201">www.superdatascience.com/201</a></p>]]>
      </content:encoded>
      <itunes:duration>3578</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/515940762]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2766672315.mp3?updated=1722583165" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>200: What’s the Future of Data Science? Speaker Mashup Edition</title>
      <description>Where do you think the field of Data Science is going in the coming years?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/200</description>
      <pubDate>Fri, 12 Oct 2018 20:57:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/cbe94772-1c33-11ef-9765-1b6c02ea1575/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Where do you think the field of Data Science is going in the coming years?</itunes:subtitle>
      <itunes:summary>Where do you think the field of Data Science is going in the coming years?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/200</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Where do you think the field of Data Science is going in the coming years?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/200">www.superdatascience.com/200</a></p>]]>
      </content:encoded>
      <itunes:duration>2809</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/513480891]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7454321218.mp3?updated=1722583098" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>199: Data Visualization Insights from NYU</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Associate Professor at NYU Stern School of Business, Kristen Sosulski. You will hear about Kristen's experience in visualizing data, how she learned to communicate findings, present data visualization insights, and how she has helped people on how to read data, charts and graphs. You will also learn why Data Visualization is an entry pathway into Data Science and get to know the top tips Kristen has been practicing in order to be successful in this field.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/199</description>
      <pubDate>Wed, 10 Oct 2018 23:21:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/cc68e46e-1c33-11ef-9765-6bc64e6eda30/image/3990b4188a752de25abbc8a65de6b2ce.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Associate Professor at NYU Stern School of Business, Kristen Sosulski. You will hear about Kristen's experience in visualizing data, how she learned to communicate findings, present data visualization insights, and how she has helped people on how to read data, charts and graphs. You will also learn why Data Visualization is an entry pathway into Data Science and get to know the top tips Kristen has been practicing in order to be successful in this field.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Associate Professor at NYU Stern School of Business, Kristen Sosulski. You will hear about Kristen's experience in visualizing data, how she learned to communicate findings, present data visualization insights, and how she has helped people on how to read data, charts and graphs. You will also learn why Data Visualization is an entry pathway into Data Science and get to know the top tips Kristen has been practicing in order to be successful in this field.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/199</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Associate Professor at NYU Stern School of Business, Kristen Sosulski. You will hear about Kristen's experience in visualizing data, how she learned to communicate findings, present data visualization insights, and how she has helped people on how to read data, charts and graphs. You will also learn why Data Visualization is an entry pathway into Data Science and get to know the top tips Kristen has been practicing in order to be successful in this field.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/199">www.superdatascience.com/199</a></p>]]>
      </content:encoded>
      <itunes:duration>4058</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/512526051]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6756916073.mp3?updated=1722506246" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>198: Two Millimeter Shifts</title>
      <description>How do you think the concept of 2-millimeter shift can impact you?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/198</description>
      <pubDate>Fri, 05 Oct 2018 15:05:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/cd114f8c-1c33-11ef-9765-3bea624f5311/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How do you think the concept of 2-millimeter shift can impact you?</itunes:subtitle>
      <itunes:summary>How do you think the concept of 2-millimeter shift can impact you?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/198</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How do you think the concept of 2-millimeter shift can impact you?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/198">www.superdatascience.com/198</a></p>]]>
      </content:encoded>
      <itunes:duration>660</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/509972523]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2953980533.mp3?updated=1722506211" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>197: How to be Happy and Successful</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Epic Life Coach, Carl Massy. This episode is a total pause from the Data Science world as we talk about the secret to happiness. You will hear what led Carl to follow his passion for helping people find inner happiness, learn how to establish daily rituals to have a solid foundation, and get the 3 valuable tips on how to change your state of mind.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/197</description>
      <pubDate>Wed, 03 Oct 2018 22:41:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/cd77a5ca-1c33-11ef-9765-ef9ece21d68f/image/33c632b0cf513bd1556c8ccfc72d5aa7.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Epic Life Coach, Carl Massy. This episode is a total pause from the Data Science world as we talk about the secret to happiness. You will hear what led Carl to follow his passion for helping people find inner happiness, learn how to establish daily rituals to have a solid foundation, and get the 3 valuable tips on how to change your state of mind.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Epic Life Coach, Carl Massy. This episode is a total pause from the Data Science world as we talk about the secret to happiness. You will hear what led Carl to follow his passion for helping people find inner happiness, learn how to establish daily rituals to have a solid foundation, and get the 3 valuable tips on how to change your state of mind.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/197</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Epic Life Coach, Carl Massy. This episode is a total pause from the Data Science world as we talk about the secret to happiness. You will hear what led Carl to follow his passion for helping people find inner happiness, learn how to establish daily rituals to have a solid foundation, and get the 3 valuable tips on how to change your state of mind.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/197">www.superdatascience.com/197</a></p>]]>
      </content:encoded>
      <itunes:duration>4462</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/509157585]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8934390140.mp3?updated=1722506168" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>196: Diversity in Data Science</title>
      <description>How will you play your part in addressing the diversity gap in Data Science?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/196</description>
      <pubDate>Fri, 28 Sep 2018 15:49:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ce01f7e8-1c33-11ef-9765-cbf70887874f/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How will you play your part in addressing the diversity gap in Data Science?</itunes:subtitle>
      <itunes:summary>How will you play your part in addressing the diversity gap in Data Science?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/196</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How will you play your part in addressing the diversity gap in Data Science?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/196">www.superdatascience.com/196</a></p>]]>
      </content:encoded>
      <itunes:duration>431</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/506537934]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6458643461.mp3?updated=1722506123" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>195: Inspiration from the Founder of the R Ladies Organization</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Founder of R-Ladies, Gabriela de Queiroz. You will hear about the R Ladies Organization and how it was founded, discuss the gender diversity problem in the data science field, and know the different skill sets Gabriela acquired during her previous careers that she was able to carry as she moved towards being a data scientist.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/195</description>
      <pubDate>Wed, 26 Sep 2018 23:29:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ce734b50-1c33-11ef-9765-efeaf4bcefb6/image/fcc58381ed924c642559b6af81517c82.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Founder of R-Ladies, Gabriela de Queiroz. You will hear about the R Ladies Organization and how it was founded, discuss the gender diversity problem in the data science field, and know the different skill sets Gabriela acquired during her previous careers that she was able to carry as she moved towards being a data scientist.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Founder of R-Ladies, Gabriela de Queiroz. You will hear about the R Ladies Organization and how it was founded, discuss the gender diversity problem in the data science field, and know the different skill sets Gabriela acquired during her previous careers that she was able to carry as she moved towards being a data scientist.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/195</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Founder of R-Ladies, Gabriela de Queiroz. You will hear about the R Ladies Organization and how it was founded, discuss the gender diversity problem in the data science field, and know the different skill sets Gabriela acquired during her previous careers that she was able to carry as she moved towards being a data scientist.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/195">www.superdatascience.com/195</a></p>]]>
      </content:encoded>
      <itunes:duration>3733</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/505715037]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1353987925.mp3?updated=1722506060" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>194: Why I Became Vegan</title>
      <description>Would you consider switching to a vegan lifestyle?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/194</description>
      <pubDate>Fri, 21 Sep 2018 14:57:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/cefe82c4-1c33-11ef-9765-234801e5ab66/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Would you consider switching to a vegan lifestyle?</itunes:subtitle>
      <itunes:summary>Would you consider switching to a vegan lifestyle?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/194</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Would you consider switching to a vegan lifestyle?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/194">www.superdatascience.com/194</a></p>]]>
      </content:encoded>
      <itunes:duration>1651</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/503123445]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2873048201.mp3?updated=1722506007" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>193: A serious talk on AI taking over jobs</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Artificial Intelligence expert, Roman Yampolskiy. You will hear about Artificial Intelligence safety, hear how AI is going to quickly take over in the coming years and why we have to prioritize AI safety for safer machines, and also get valuable advice on how to start a career in AI, for business owners, and for professionals on how to get to high-end jobs.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/193</description>
      <pubDate>Wed, 19 Sep 2018 23:13:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/cfd228cc-1c33-11ef-9765-cf2f0b53e811/image/d6086638aa14a3f75bd2e5c35e6f456b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Artificial Intelligence expert, Roman Yampolskiy. You will hear about Artificial Intelligence safety, hear how AI is going to quickly take over in the coming years and why we have to prioritize AI safety for safer machines, and also get valuable advice on how to start a career in AI, for business owners, and for professionals on how to get to high-end jobs.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Artificial Intelligence expert, Roman Yampolskiy. You will hear about Artificial Intelligence safety, hear how AI is going to quickly take over in the coming years and why we have to prioritize AI safety for safer machines, and also get valuable advice on how to start a career in AI, for business owners, and for professionals on how to get to high-end jobs.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/193</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Artificial Intelligence expert, Roman Yampolskiy. You will hear about Artificial Intelligence safety, hear how AI is going to quickly take over in the coming years and why we have to prioritize AI safety for safer machines, and also get valuable advice on how to start a career in AI, for business owners, and for professionals on how to get to high-end jobs.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/193">www.superdatascience.com/193</a></p>]]>
      </content:encoded>
      <itunes:duration>3250</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/502339344]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2761092107.mp3?updated=1722505967" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>192: Ace the "Greatest Weakness" Interview Question</title>
      <description>What do you think is your greatest weakness?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/192</description>
      <pubDate>Fri, 14 Sep 2018 16:04:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/d27eb324-1c33-11ef-9765-c39f1044a3a2/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What do you think is your greatest weakness?</itunes:subtitle>
      <itunes:summary>What do you think is your greatest weakness?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/192</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What do you think is your greatest weakness?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/192">www.superdatascience.com/192</a></p>]]>
      </content:encoded>
      <itunes:duration>505</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/499879365]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4438158131.mp3?updated=1722505935" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>191: Helping San Diego Become a Smart City</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Founder of the Machine Learning Society and the creator of the CO network, Tristen Blake. You will hear about the upcoming Data+Science collaboration platform - the CO Network, know the reason for the existence of the Machine Learning Society, hear about San Diego being the next Silicon Valley, and also get to hear Tristen's courageous stories from having no Data Science background and now breaking into Machine Learning by seeing the value of this field.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/191</description>
      <pubDate>Wed, 12 Sep 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/d3a9b17c-1c33-11ef-9765-cfd8a09a26ca/image/dac87e90bc9b0c5a083b854e8e25e475.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Founder of the Machine Learning Society and the creator of the CO network, Tristen Blake. You will hear about the upcoming Data+Science collaboration platform - the CO Network, know the reason for the existence of the Machine Learning Society, hear about San Diego being the next Silicon Valley, and also get to hear Tristen's courageous stories from having no Data Science background and now breaking into Machine Learning by seeing the value of this field.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Founder of the Machine Learning Society and the creator of the CO network, Tristen Blake. You will hear about the upcoming Data+Science collaboration platform - the CO Network, know the reason for the existence of the Machine Learning Society, hear about San Diego being the next Silicon Valley, and also get to hear Tristen's courageous stories from having no Data Science background and now breaking into Machine Learning by seeing the value of this field.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/191</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Founder of the Machine Learning Society and the creator of the CO network, Tristen Blake. You will hear about the upcoming Data+Science collaboration platform - the CO Network, know the reason for the existence of the Machine Learning Society, hear about San Diego being the next Silicon Valley, and also get to hear Tristen's courageous stories from having no Data Science background and now breaking into Machine Learning by seeing the value of this field.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/191">www.superdatascience.com/191</a></p>]]>
      </content:encoded>
      <itunes:duration>4069</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/498937029]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4408605323.mp3?updated=1722505899" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>190: See You in San Diego</title>
      <description>What do you look forward to this year's DataScienceGO 2018 event?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/190</description>
      <pubDate>Fri, 07 Sep 2018 15:18:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/d425417a-1c33-11ef-9765-df3b214160d0/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What do you look forward to this year's DataScienceGO 2018 event?</itunes:subtitle>
      <itunes:summary>What do you look forward to this year's DataScienceGO 2018 event?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/190</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What do you look forward to this year's DataScienceGO 2018 event?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/190">www.superdatascience.com/190</a></p>]]>
      </content:encoded>
      <itunes:duration>867</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/496615473]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2541198781.mp3?updated=1722505864" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>189: How I Got 45,000 Linkedin Followers in One Year</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Data Science Mentor, Randy Lao. You will learn how Randy Lao made a big rise in LinkedIn starting out with 45,000 followers and several Data Science jobs in just one year. You will also hear about the whole process of getting a job in Data Science from preparing your portfolio to getting data science jobs &amp; opportunities, and learn that one thing that Randy is very passionate about which is the "end goal of Data Science".

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/189</description>
      <pubDate>Wed, 05 Sep 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/df300aaa-1c33-11ef-9765-1bc4b414af0e/image/fcc26c650730c60190ef1ac8310a2bc3.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Data Science Mentor, Randy Lao. You will learn how Randy Lao made a big rise in LinkedIn starting out with 45,000 followers and several Data Science jobs in just one year. You will also hear about the whole process of getting a job in Data Science from preparing your portfolio to getting data science jobs &amp; opportunities, and learn that one thing that Randy is very passionate about which is the "end goal of Data Science".</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Data Science Mentor, Randy Lao. You will learn how Randy Lao made a big rise in LinkedIn starting out with 45,000 followers and several Data Science jobs in just one year. You will also hear about the whole process of getting a job in Data Science from preparing your portfolio to getting data science jobs &amp; opportunities, and learn that one thing that Randy is very passionate about which is the "end goal of Data Science".

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/189</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Data Science Mentor, Randy Lao. You will learn how Randy Lao made a big rise in LinkedIn starting out with 45,000 followers and several Data Science jobs in just one year. You will also hear about the whole process of getting a job in Data Science from preparing your portfolio to getting data science jobs &amp; opportunities, and learn that one thing that Randy is very passionate about which is the "end goal of Data Science".</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/189">www.superdatascience.com/189</a></p>]]>
      </content:encoded>
      <itunes:duration>3598</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/495513618]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7899554962.mp3?updated=1722505830" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>188: 6 Ways to Fill the Data Science Gap</title>
      <description>In what ways do you see yourself filling in the data science gap?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/188</description>
      <pubDate>Fri, 31 Aug 2018 15:20:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e1e49de2-1c33-11ef-9765-676ed2a244b5/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In what ways do you see yourself filling in the data science gap?</itunes:subtitle>
      <itunes:summary>In what ways do you see yourself filling in the data science gap?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/188</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In what ways do you see yourself filling in the data science gap?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/188">www.superdatascience.com/188</a></p>]]>
      </content:encoded>
      <itunes:duration>1079</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/493325514]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3866420065.mp3?updated=1722505794" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>187: How Data Science is Becoming a Science</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Principal Data Scientist at OXXO, Favio Vázquez. You will hear about Data Science finally becoming a Science, learn the 5 characteristics of Data Science projects, and know the 3 different kinds of people who explore Data Science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/187</description>
      <pubDate>Wed, 29 Aug 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e2838ba0-1c33-11ef-9765-a781d60cd6cb/image/da8afc763636a31e8cfb082b07656335.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Principal Data Scientist at OXXO, Favio Vázquez. You will hear about Data Science finally becoming a Science, learn the 5 characteristics of Data Science projects, and know the 3 different kinds of people who explore Data Science.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Principal Data Scientist at OXXO, Favio Vázquez. You will hear about Data Science finally becoming a Science, learn the 5 characteristics of Data Science projects, and know the 3 different kinds of people who explore Data Science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/187</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Principal Data Scientist at OXXO, Favio Vázquez. You will hear about Data Science finally becoming a Science, learn the 5 characteristics of Data Science projects, and know the 3 different kinds of people who explore Data Science.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/187">www.superdatascience.com/187</a></p>]]>
      </content:encoded>
      <itunes:duration>3858</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/492347925]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3687802214.mp3?updated=1722505760" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>186: Why Execution Trumps Knowledge</title>
      <description>What are your personal experiences relating to the concept of knowledge and execution?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/186</description>
      <pubDate>Fri, 24 Aug 2018 14:11:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e2fa0c76-1c33-11ef-9765-5f0e20aced95/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What are your personal experiences relating to the concept of knowledge and execution?</itunes:subtitle>
      <itunes:summary>What are your personal experiences relating to the concept of knowledge and execution?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/186</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What are your personal experiences relating to the concept of knowledge and execution?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/186">www.superdatascience.com/186</a></p>]]>
      </content:encoded>
      <itunes:duration>652</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/490018899]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5997170500.mp3?updated=1722505725" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>185: The Pre-Requisites for Analytics to Happen</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the President of McKnight Consulting Group, William McKnight. You will learn about the right pre-requisites to have the right analytics organization, learn the 4 components of data maturity of an organization, and also find out the 5 different stages of which level an organization can be.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/185</description>
      <pubDate>Wed, 22 Aug 2018 23:48:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e36e7da4-1c33-11ef-9765-2bf5280ce810/image/657acb60b3d1670e9f3f49538b1be5c1.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the President of McKnight Consulting Group, William McKnight. You will learn about the right pre-requisites to have the right analytics organization, learn the 4 components of data maturity of an organization, and also find out the 5 different stages of which level an organization can be.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the President of McKnight Consulting Group, William McKnight. You will learn about the right pre-requisites to have the right analytics organization, learn the 4 components of data maturity of an organization, and also find out the 5 different stages of which level an organization can be.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/185</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the President of McKnight Consulting Group, William McKnight. You will learn about the right pre-requisites to have the right analytics organization, learn the 4 components of data maturity of an organization, and also find out the 5 different stages of which level an organization can be.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/185">www.superdatascience.com/185</a></p>]]>
      </content:encoded>
      <itunes:duration>3860</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/489285171]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7083112714.mp3?updated=1722505688" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>184: Why You Need Domain Knowledge in Data Science</title>
      <description>In what situations in your life can you apply the concept of FIFO or LIFO?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/184</description>
      <pubDate>Fri, 17 Aug 2018 14:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e3e53214-1c33-11ef-9765-7f781937c77e/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In what situations in your life can you apply the concept of FIFO or LIFO?</itunes:subtitle>
      <itunes:summary>In what situations in your life can you apply the concept of FIFO or LIFO?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/184</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In what situations in your life can you apply the concept of FIFO or LIFO?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/184">www.superdatascience.com/184</a></p>]]>
      </content:encoded>
      <itunes:duration>710</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/486795666]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9848375157.mp3?updated=1722505645" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>183: Everything about Data Analytics &amp; its Future</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Founder and Chief Technology Officer of CirroLytix Research Services, Dominic Ligot. You will learn the 3 verticals in starting your own analytics business, hear where the world is going in the space of data analytics and know the demands for analytics from the industries and businesses.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/183</description>
      <pubDate>Wed, 15 Aug 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e6030b84-1c33-11ef-9765-670699a78400/image/dd17fab594985ba743f0b2247b110651.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Founder and Chief Technology Officer of CirroLytix Research Services, Dominic Ligot. You will learn the 3 verticals in starting your own analytics business, hear where the world is going in the space of data analytics and know the demands for analytics from the industries and businesses.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Founder and Chief Technology Officer of CirroLytix Research Services, Dominic Ligot. You will learn the 3 verticals in starting your own analytics business, hear where the world is going in the space of data analytics and know the demands for analytics from the industries and businesses.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/183</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Founder and Chief Technology Officer of CirroLytix Research Services, Dominic Ligot. You will learn the 3 verticals in starting your own analytics business, hear where the world is going in the space of data analytics and know the demands for analytics from the industries and businesses.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/183">www.superdatascience.com/183</a></p>]]>
      </content:encoded>
      <itunes:duration>3682</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/486074475]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9156553184.mp3?updated=1722505614" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>182: The Importance of the Data Science Community</title>
      <description>In what ways do you think can you give back to the Data Science community?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/182</description>
      <pubDate>Fri, 10 Aug 2018 15:49:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e684cd72-1c33-11ef-9765-a784af958bc2/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In what ways do you think can you give back to the Data Science community?</itunes:subtitle>
      <itunes:summary>In what ways do you think can you give back to the Data Science community?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/182</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In what ways do you think can you give back to the Data Science community?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/182">www.superdatascience.com/182</a></p>]]>
      </content:encoded>
      <itunes:duration>395</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/483756360]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3681943651.mp3?updated=1722505576" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>181: 10 Tips from a Data Science Consultant</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Founder and managing partner at velocitygroup.io, Tim Lafferty. You will hear about Tim's insights from his consulting experience in the space of Data Science, learn about the 3 main aspects of the life cycle of a successful data project, and also know the 10 things that a degree won't teach you.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/181</description>
      <pubDate>Wed, 08 Aug 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e7047324-1c33-11ef-9765-db294c494f44/image/4914beef63d6d0f68a4edc6fedbb119c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Founder and managing partner at velocitygroup.io, Tim Lafferty. You will hear about Tim's insights from his consulting experience in the space of Data Science, learn about the 3 main aspects of the life cycle of a successful data project, and also know the 10 things that a degree won't teach you.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Founder and managing partner at velocitygroup.io, Tim Lafferty. You will hear about Tim's insights from his consulting experience in the space of Data Science, learn about the 3 main aspects of the life cycle of a successful data project, and also know the 10 things that a degree won't teach you.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/181</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Founder and managing partner at velocitygroup.io, Tim Lafferty. You will hear about Tim's insights from his consulting experience in the space of Data Science, learn about the 3 main aspects of the life cycle of a successful data project, and also know the 10 things that a degree won't teach you.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/181">www.superdatascience.com/181</a></p>]]>
      </content:encoded>
      <itunes:duration>4294</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/482834769]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9554322294.mp3?updated=1722505544" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>180: The Idea Behind Essentialism</title>
      <description>In what situation in your life have you applied the value of essentialism?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/180</description>
      <pubDate>Fri, 03 Aug 2018 17:27:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e77618e4-1c33-11ef-9765-c7534aefc509/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In what situation in your life have you applied the value of essentialism?</itunes:subtitle>
      <itunes:summary>In what situation in your life have you applied the value of essentialism?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/180</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In what situation in your life have you applied the value of essentialism?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/180">www.superdatascience.com/180</a></p>]]>
      </content:encoded>
      <itunes:duration>393</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/480707823]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9794506766.mp3?updated=1722505509" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>179: How a Data Science Recruiter Thinks</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Data Science recruiter, Matt Corey. You will hear about Matt's role as a Data Science recruiter, get interesting tips and insights about what recruiters look for in candidates for a data science position, and you will learn what are the things to expect from a recruiter and how intricate the role of a good recruiter in Data Science is.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/179</description>
      <pubDate>Wed, 01 Aug 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e7f4eed0-1c33-11ef-9765-43564b5d6af5/image/616317c78b249a101f7fd5b0676fb1d6.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Data Science recruiter, Matt Corey. You will hear about Matt's role as a Data Science recruiter, get interesting tips and insights about what recruiters look for in candidates for a data science position, and you will learn what are the things to expect from a recruiter and how intricate the role of a good recruiter in Data Science is.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Data Science recruiter, Matt Corey. You will hear about Matt's role as a Data Science recruiter, get interesting tips and insights about what recruiters look for in candidates for a data science position, and you will learn what are the things to expect from a recruiter and how intricate the role of a good recruiter in Data Science is.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/179</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Data Science recruiter, Matt Corey. You will hear about Matt's role as a Data Science recruiter, get interesting tips and insights about what recruiters look for in candidates for a data science position, and you will learn what are the things to expect from a recruiter and how intricate the role of a good recruiter in Data Science is.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/179">www.superdatascience.com/179</a></p>]]>
      </content:encoded>
      <itunes:duration>3770</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/479814240]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3995034372.mp3?updated=1722420752" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>178: Visualization in Data Science</title>
      <description>For what purpose do you usually use your data visualization skills?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/178</description>
      <pubDate>Fri, 27 Jul 2018 14:58:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e86a13ea-1c33-11ef-9765-a3f6a824dea3/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>For what purpose do you usually use your data visualization skills?</itunes:subtitle>
      <itunes:summary>For what purpose do you usually use your data visualization skills?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/178</itunes:summary>
      <content:encoded>
        <![CDATA[<p>For what purpose do you usually use your data visualization skills?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/178">www.superdatascience.com/178</a></p>]]>
      </content:encoded>
      <itunes:duration>381</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/477491118]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2180511219.mp3?updated=1722420721" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>177: Building a Career in Data Science</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the aspiring data scientist, Zach Loertscher. You will hear about the current state of Data Science education, learn how you can build your data science career through self-learning using the available resources online, learn how to build your portfolio through LinkedIn, and how to help back in the Data Science community.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/177</description>
      <pubDate>Wed, 25 Jul 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e8edf53e-1c33-11ef-9765-f71a752f5edb/image/ab1ee532f9929262534cb93789105097.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the aspiring data scientist, Zach Loertscher. You will hear about the current state of Data Science education, learn how you can build your data science career through self-learning using the available resources online, learn how to build your portfolio through LinkedIn, and how to help back in the Data Science community.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the aspiring data scientist, Zach Loertscher. You will hear about the current state of Data Science education, learn how you can build your data science career through self-learning using the available resources online, learn how to build your portfolio through LinkedIn, and how to help back in the Data Science community.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/177</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the aspiring data scientist, Zach Loertscher. You will hear about the current state of Data Science education, learn how you can build your data science career through self-learning using the available resources online, learn how to build your portfolio through LinkedIn, and how to help back in the Data Science community.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/177">www.superdatascience.com/177</a></p>]]>
      </content:encoded>
      <itunes:duration>3728</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/476604831]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5605984332.mp3?updated=1722420691" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>176: The Importance of Storytelling in Data Science</title>
      <description>Have you ever tried conveying facts to anyone by telling them as a story? How did it work?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/176</description>
      <pubDate>Fri, 20 Jul 2018 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e97dfb16-1c33-11ef-9765-1f089ec852aa/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Have you ever tried conveying facts to anyone by telling them as a story? How did it work?</itunes:subtitle>
      <itunes:summary>Have you ever tried conveying facts to anyone by telling them as a story? How did it work?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/176</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Have you ever tried conveying facts to anyone by telling them as a story? How did it work?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/176">www.superdatascience.com/176</a></p>]]>
      </content:encoded>
      <itunes:duration>427</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/474265830]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4836107873.mp3?updated=1722420643" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>175: Insights from the Founder of KDnuggets</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the President and Editor at KDNuggets, Gregory Piatetsky-Shapiro. You will hear about the recent advancements in Data Science, learn how Reinforcement Learning can greatly improve AI capabilities, and learn about the noticeable growing trend of automation in the field of data science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/175</description>
      <pubDate>Wed, 18 Jul 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e9fbd658-1c33-11ef-9765-cf503f1b3bb5/image/bffc0ebb6d8de0d22543db0e9ed64348.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the President and Editor at KDNuggets, Gregory Piatetsky-Shapiro. You will hear about the recent advancements in Data Science, learn how Reinforcement Learning can greatly improve AI capabilities, and learn about the noticeable growing trend of automation in the field of data science.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the President and Editor at KDNuggets, Gregory Piatetsky-Shapiro. You will hear about the recent advancements in Data Science, learn how Reinforcement Learning can greatly improve AI capabilities, and learn about the noticeable growing trend of automation in the field of data science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/175</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the President and Editor at KDNuggets, Gregory Piatetsky-Shapiro. You will hear about the recent advancements in Data Science, learn how Reinforcement Learning can greatly improve AI capabilities, and learn about the noticeable growing trend of automation in the field of data science.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/175">www.superdatascience.com/175</a></p>]]>
      </content:encoded>
      <itunes:duration>3202</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/473514396]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5738886241.mp3?updated=1722420609" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>174: A Technology Detox Challenge</title>
      <description>When was the last time that you disconnected from technology?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/174</description>
      <pubDate>Fri, 13 Jul 2018 14:01:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ea7b4564-1c33-11ef-9765-fbce1cc287e4/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>When was the last time that you disconnected from technology?</itunes:subtitle>
      <itunes:summary>When was the last time that you disconnected from technology?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/174</itunes:summary>
      <content:encoded>
        <![CDATA[<p>When was the last time that you disconnected from technology?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/174">www.superdatascience.com/174</a></p>]]>
      </content:encoded>
      <itunes:duration>209</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/471180090]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2381068690.mp3?updated=1722420554" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>173: Understanding Robotics Process Automation (RPA) to Disrupt Your Business</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the founders of Cigen, Leigh and Daniel Pullen. You will listen to an overview of RPA or Robotics Process Automation, hear what it’s all about, how it works, how business gets value from it, and also how people can learn this and integrate it into their careers. You will learn the different RPA tools or global tools that any business can use across any application. Also, you will know the concept of Robots-for-Hire and how it is valuable for entrepreneurs.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/173</description>
      <pubDate>Wed, 11 Jul 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/eb33ca94-1c33-11ef-9765-276a3afa821b/image/ac7a267ae4e58c54649649e611b8cc3e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the founders of Cigen, Leigh and Daniel Pullen. You will listen to an overview of RPA or Robotics Process Automation, hear what it’s all about, how it works, how business gets value from it, and also how people can learn this and integrate it into their careers. You will learn the different RPA tools or global tools that any business can use across any application. Also, you will know the concept of Robots-for-Hire and how it is valuable for entrepreneurs.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the founders of Cigen, Leigh and Daniel Pullen. You will listen to an overview of RPA or Robotics Process Automation, hear what it’s all about, how it works, how business gets value from it, and also how people can learn this and integrate it into their careers. You will learn the different RPA tools or global tools that any business can use across any application. Also, you will know the concept of Robots-for-Hire and how it is valuable for entrepreneurs.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/173</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the founders of Cigen, Leigh and Daniel Pullen. You will listen to an overview of RPA or Robotics Process Automation, hear what it’s all about, how it works, how business gets value from it, and also how people can learn this and integrate it into their careers. You will learn the different RPA tools or global tools that any business can use across any application. Also, you will know the concept of Robots-for-Hire and how it is valuable for entrepreneurs.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/173">www.superdatascience.com/173</a></p>]]>
      </content:encoded>
      <itunes:duration>4085</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/470181846]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5277889036.mp3?updated=1722420522" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>172: Why You Need to Go Beyond the Data</title>
      <description>In what past situation do you think you could have gone beyond the data?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/172</description>
      <pubDate>Fri, 06 Jul 2018 14:02:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ebbd9904-1c33-11ef-9765-973a08844c30/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In what past situation do you think you could have gone beyond the data?</itunes:subtitle>
      <itunes:summary>In what past situation do you think you could have gone beyond the data?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/172</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In what past situation do you think you could have gone beyond the data?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/172">www.superdatascience.com/172</a></p>]]>
      </content:encoded>
      <itunes:duration>468</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/468117315]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2149959230.mp3?updated=1722420480" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>171: Deep dive into R Programming &amp; R Studio</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Director of Solutions Engineering for RStudio, Nathan Stephens. You will hear about the analytic admin concept and the idea behind this role, know why the R language is the most inclusive programming language for other languages, and learn about analytics infrastructure &amp; how this can be used in the data lab and the production environment.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/171</description>
      <pubDate>Wed, 04 Jul 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ec541ed8-1c33-11ef-9765-1774b4543a17/image/edcdf1362d2f07aaa1032987e1190a8b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Director of Solutions Engineering for RStudio, Nathan Stephens. You will hear about the analytic admin concept and the idea behind this role, know why the R language is the most inclusive programming language for other languages, and learn about analytics infrastructure &amp; how this can be used in the data lab and the production environment.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Director of Solutions Engineering for RStudio, Nathan Stephens. You will hear about the analytic admin concept and the idea behind this role, know why the R language is the most inclusive programming language for other languages, and learn about analytics infrastructure &amp; how this can be used in the data lab and the production environment.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/171</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Director of Solutions Engineering for RStudio, Nathan Stephens. You will hear about the analytic admin concept and the idea behind this role, know why the R language is the most inclusive programming language for other languages, and learn about analytics infrastructure &amp; how this can be used in the data lab and the production environment.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/171">www.superdatascience.com/171</a></p>]]>
      </content:encoded>
      <itunes:duration>4403</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/467230470]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2792744320.mp3?updated=1722420443" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>170: Tips for a Bumpy Ride</title>
      <description>What are the goals you will accomplish for the week?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/170</description>
      <pubDate>Fri, 29 Jun 2018 13:41:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ecd908fa-1c33-11ef-9765-43550e448369/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What are the goals you will accomplish for the week?</itunes:subtitle>
      <itunes:summary>What are the goals you will accomplish for the week?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/170</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What are the goals you will accomplish for the week?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/170">www.superdatascience.com/170</a></p>]]>
      </content:encoded>
      <itunes:duration>447</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/465098016]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3449617132.mp3?updated=1722420411" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>169: Data Science: Technology and Philanthropy</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the CEO, Founder and AI Neuroscience Researcher, Tarry Singh. You will hear about the three essential components of businesses, learn the 5 main steps to excel in Deep Learning, and hear how Machine Learning, Artificial Intelligence and Deep Learning could drastically change the economic status of third-world countries.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/169</description>
      <pubDate>Wed, 27 Jun 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ed63b892-1c33-11ef-9765-abd5c917f958/image/f6f439b7536aaf1e49693a29c86af24a.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the CEO, Founder and AI Neuroscience Researcher, Tarry Singh. You will hear about the three essential components of businesses, learn the 5 main steps to excel in Deep Learning, and hear how Machine Learning, Artificial Intelligence and Deep Learning could drastically change the economic status of third-world countries.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the CEO, Founder and AI Neuroscience Researcher, Tarry Singh. You will hear about the three essential components of businesses, learn the 5 main steps to excel in Deep Learning, and hear how Machine Learning, Artificial Intelligence and Deep Learning could drastically change the economic status of third-world countries.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/169</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the CEO, Founder and AI Neuroscience Researcher, Tarry Singh. You will hear about the three essential components of businesses, learn the 5 main steps to excel in Deep Learning, and hear how Machine Learning, Artificial Intelligence and Deep Learning could drastically change the economic status of third-world countries.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/169">www.superdatascience.com/169</a></p>]]>
      </content:encoded>
      <itunes:duration>4023</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/464052867]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1553083836.mp3?updated=1722420371" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>168: Focus on Your Strengths and Ignore Your Weaknesses</title>
      <description>What are your strengths and what are some of your weaknesses that you can totally ignore and still become successful?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/168</description>
      <pubDate>Fri, 22 Jun 2018 14:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ede9ccd4-1c33-11ef-9765-cb1a05beb197/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What are your strengths and what are some of your weaknesses that you can totally ignore and still become successful?</itunes:subtitle>
      <itunes:summary>What are your strengths and what are some of your weaknesses that you can totally ignore and still become successful?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/168</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What are your strengths and what are some of your weaknesses that you can totally ignore and still become successful?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/168">www.superdatascience.com/168</a></p>]]>
      </content:encoded>
      <itunes:duration>261</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/461859483]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6234013831.mp3?updated=1722420331" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>167: Why All Companies Need a Data Science Culture</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Director of Data Science at Data Society, Nisha Iyer. You will hear how members of an organization or company benefit more when they are adept with data, learn how attending hands-on trainings could magnify your data science learning experience, and learn how communication and hospitality skills are important and helpful in your data science career.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/167</description>
      <pubDate>Wed, 20 Jun 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/eeaa603e-1c33-11ef-9765-e30d10d4070d/image/0069b3d5f23d85b275f526757c38fbad.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Director of Data Science at Data Society, Nisha Iyer. You will hear how members of an organization or company benefit more when they are adept with data, learn how attending hands-on trainings could magnify your data science learning experience, and learn how communication and hospitality skills are important and helpful in your data science career.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Director of Data Science at Data Society, Nisha Iyer. You will hear how members of an organization or company benefit more when they are adept with data, learn how attending hands-on trainings could magnify your data science learning experience, and learn how communication and hospitality skills are important and helpful in your data science career.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/167</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Director of Data Science at Data Society, Nisha Iyer. You will hear how members of an organization or company benefit more when they are adept with data, learn how attending hands-on trainings could magnify your data science learning experience, and learn how communication and hospitality skills are important and helpful in your data science career.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/167">www.superdatascience.com/167</a></p>]]>
      </content:encoded>
      <itunes:duration>3637</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/460944942]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6913881706.mp3?updated=1722420290" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>166: Should You Be Effective or Efficient?</title>
      <description>Which do you think is more important - being effective or being efficient? And why?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/166</description>
      <pubDate>Fri, 15 Jun 2018 14:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ef24f6fa-1c33-11ef-9765-c7804c46b92d/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Which do you think is more important - being effective or being efficient? And why?</itunes:subtitle>
      <itunes:summary>Which do you think is more important - being effective or being efficient? And why?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/166</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Which do you think is more important - being effective or being efficient? And why?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/166">www.superdatascience.com/166</a></p>]]>
      </content:encoded>
      <itunes:duration>192</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/458747199]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6678186212.mp3?updated=1722420254" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>165: Giving Back to the Data Science Community</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Founder of Business Science, Matt Dancho. You will hear what the business and data science industries could learn and benefit from each other, know the many different ways how to give back to the data science community, and get insights on becoming the greatest data scientist you could ever be.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/165</description>
      <pubDate>Wed, 13 Jun 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/efa516d2-1c33-11ef-9765-fbace12d6c79/image/81335a9a1085ac0d0a28b444dc0f64bc.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Founder of Business Science, Matt Dancho. You will hear what the business and data science industries could learn and benefit from each other, know the many different ways how to give back to the data science community, and get insights on becoming the greatest data scientist you could ever be.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Founder of Business Science, Matt Dancho. You will hear what the business and data science industries could learn and benefit from each other, know the many different ways how to give back to the data science community, and get insights on becoming the greatest data scientist you could ever be.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/165</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Founder of Business Science, Matt Dancho. You will hear what the business and data science industries could learn and benefit from each other, know the many different ways how to give back to the data science community, and get insights on becoming the greatest data scientist you could ever be.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/165">www.superdatascience.com/165</a></p>]]>
      </content:encoded>
      <itunes:duration>3523</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/457938606]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8705462720.mp3?updated=1722420216" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>164: Love Languages and How They Impact Your Life</title>
      <description>Have you discovered what your love language is?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/164</description>
      <pubDate>Fri, 08 Jun 2018 14:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f0160efa-1c33-11ef-9765-4f92f57e832b/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Have you discovered what your love language is?</itunes:subtitle>
      <itunes:summary>Have you discovered what your love language is?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/164</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Have you discovered what your love language is?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/164">www.superdatascience.com/164</a></p>]]>
      </content:encoded>
      <itunes:duration>504</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/455183430]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3870784921.mp3?updated=1722420181" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>163: How to Deal with Disruptive Technologies</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Strategy &amp; Innovation Consultant, Aaron Bare. You will hear why technologies like AI, blockchain, and machine learning are rapidly growing and disrupting the traditional processes of industries, know how to have the mindset to learn how to harness the use of exponential technologies and learn why companies should revisit their business models and purpose.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/163</description>
      <pubDate>Thu, 07 Jun 2018 16:42:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f0aea0de-1c33-11ef-9765-1b57ad739e6f/image/a8fb31340f7929c979b43cbaaa54678a.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Strategy &amp; Innovation Consultant, Aaron Bare. You will hear why technologies like AI, blockchain, and machine learning are rapidly growing and disrupting the traditional processes of industries, know how to have the mindset to learn how to harness the use of exponential technologies and learn why companies should revisit their business models and purpose.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Strategy &amp; Innovation Consultant, Aaron Bare. You will hear why technologies like AI, blockchain, and machine learning are rapidly growing and disrupting the traditional processes of industries, know how to have the mindset to learn how to harness the use of exponential technologies and learn why companies should revisit their business models and purpose.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/163</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Strategy &amp; Innovation Consultant, Aaron Bare. You will hear why technologies like AI, blockchain, and machine learning are rapidly growing and disrupting the traditional processes of industries, know how to have the mindset to learn how to harness the use of exponential technologies and learn why companies should revisit their business models and purpose.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/163">www.superdatascience.com/163</a></p>]]>
      </content:encoded>
      <itunes:duration>3226</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/455152134]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1083883677.mp3?updated=1722420145" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>162: What I Learned from a 10 Day Detox</title>
      <description>Will you be willing to try doing the 10-Day Detox cleanse for your health's wellness?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/162</description>
      <pubDate>Fri, 01 Jun 2018 14:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f125090e-1c33-11ef-9765-db77b37e2861/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Will you be willing to try doing the 10-Day Detox cleanse for your health's wellness?</itunes:subtitle>
      <itunes:summary>Will you be willing to try doing the 10-Day Detox cleanse for your health's wellness?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/162</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Will you be willing to try doing the 10-Day Detox cleanse for your health's wellness?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/162">www.superdatascience.com/162</a></p>]]>
      </content:encoded>
      <itunes:duration>600</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/452167527]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9192168956.mp3?updated=1722420105" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>161: Using AI to Automate Communication</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Founder and Chief Technology Officer of Kylie.AI, Sinan Ozdemir. You will hear about Feature Engineering and why it is vital in interpreting and analyzing data models; you will also hear about Automated Customer Care Services and its importance in the future of enterprises, and get insights on why humans should ensure that AI is ethically responsible when serving humanity.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/161</description>
      <pubDate>Wed, 30 May 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f1d99e78-1c33-11ef-9765-2f3f308b38e1/image/96660ca2d1020089c2f13340f7ca0e4b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Founder and Chief Technology Officer of Kylie.AI, Sinan Ozdemir. You will hear about Feature Engineering and why it is vital in interpreting and analyzing data models; you will also hear about Automated Customer Care Services and its importance in the future of enterprises, and get insights on why humans should ensure that AI is ethically responsible when serving humanity.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Founder and Chief Technology Officer of Kylie.AI, Sinan Ozdemir. You will hear about Feature Engineering and why it is vital in interpreting and analyzing data models; you will also hear about Automated Customer Care Services and its importance in the future of enterprises, and get insights on why humans should ensure that AI is ethically responsible when serving humanity.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/161</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Founder and Chief Technology Officer of Kylie.AI, Sinan Ozdemir. You will hear about Feature Engineering and why it is vital in interpreting and analyzing data models; you will also hear about Automated Customer Care Services and its importance in the future of enterprises, and get insights on why humans should ensure that AI is ethically responsible when serving humanity.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/161">www.superdatascience.com/161</a></p>]]>
      </content:encoded>
      <itunes:duration>4200</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/451345299]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1210906016.mp3?updated=1722420071" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>160: Up Your Presentation Skills with Toastmasters</title>
      <description>How confident are you to stand before many people and do your speech?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/160</description>
      <pubDate>Fri, 25 May 2018 16:26:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f2565224-1c33-11ef-9765-7fcff86daaf2/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How confident are you to stand before many people and do your speech?</itunes:subtitle>
      <itunes:summary>How confident are you to stand before many people and do your speech?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/160</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How confident are you to stand before many people and do your speech?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/160">www.superdatascience.com/160</a></p>]]>
      </content:encoded>
      <itunes:duration>556</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/449075592]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7280865199.mp3?updated=1722420035" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>159: From Developer to Data Scientist</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the aspiring data scientist, Mike Taveirne. You will hear about the five stages of the data science process for beginners, get valuable tips for people who want to learn and transition to data science, and learn how to apply your data science knowledge to your hobbies and interests.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/159</description>
      <pubDate>Wed, 23 May 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f2e4c28e-1c33-11ef-9765-1ff9f7e671c2/image/5ef1f1aaaf16c5c5108f451964fb21e8.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the aspiring data scientist, Mike Taveirne. You will hear about the five stages of the data science process for beginners, get valuable tips for people who want to learn and transition to data science, and learn how to apply your data science knowledge to your hobbies and interests.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the aspiring data scientist, Mike Taveirne. You will hear about the five stages of the data science process for beginners, get valuable tips for people who want to learn and transition to data science, and learn how to apply your data science knowledge to your hobbies and interests.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/159</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the aspiring data scientist, Mike Taveirne. You will hear about the five stages of the data science process for beginners, get valuable tips for people who want to learn and transition to data science, and learn how to apply your data science knowledge to your hobbies and interests.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/159">www.superdatascience.com/159</a></p>]]>
      </content:encoded>
      <itunes:duration>3640</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/447983133]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3139443739.mp3?updated=1722419997" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>158: Maximize Life with the Rapid Planning Method</title>
      <description>In what way do you do your planning and focus on the things that you need to get done? How effective is it and how does it impact you?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/158</description>
      <pubDate>Fri, 18 May 2018 14:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f35d8854-1c33-11ef-9765-0fa61377a856/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In what way do you do your planning and focus on the things that you need to get done? How effective is it and how does it impact you?</itunes:subtitle>
      <itunes:summary>In what way do you do your planning and focus on the things that you need to get done? How effective is it and how does it impact you?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/158</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In what way do you do your planning and focus on the things that you need to get done? How effective is it and how does it impact you?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/158">www.superdatascience.com/158</a></p>]]>
      </content:encoded>
      <itunes:duration>776</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/445404414]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6848313279.mp3?updated=1722419958" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>157: The Amazing World of a Data Science Meetup</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Meetup organizer and enthusiast, Mary Loubele. You will learn how to organize your first Meetup group, ways to encourage people in Meetups to interact with each other, and you will learn about the current state of deep learning and NLP.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/157</description>
      <pubDate>Wed, 16 May 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f3dc6db8-1c33-11ef-9765-5fe5c7b184ef/image/335581fed285a9cbdb2730f1ff1b5362.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Meetup organizer and enthusiast, Mary Loubele. You will learn how to organize your first Meetup group, ways to encourage people in Meetups to interact with each other, and you will learn about the current state of deep learning and NLP.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Meetup organizer and enthusiast, Mary Loubele. You will learn how to organize your first Meetup group, ways to encourage people in Meetups to interact with each other, and you will learn about the current state of deep learning and NLP.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/157</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Meetup organizer and enthusiast, Mary Loubele. You will learn how to organize your first Meetup group, ways to encourage people in Meetups to interact with each other, and you will learn about the current state of deep learning and NLP.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/157">www.superdatascience.com/157</a></p>]]>
      </content:encoded>
      <itunes:duration>2502</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/444855366]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3317914851.mp3?updated=1722419920" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>156: Parkinson's Law to Increase Productivity</title>
      <description>In what situations do you think Parkinson's Law has positive and negative effects on you?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/156</description>
      <pubDate>Fri, 11 May 2018 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f45fc15e-1c33-11ef-9765-430dfcf1a428/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In what situations do you think Parkinson's Law has positive and negative effects on you?</itunes:subtitle>
      <itunes:summary>In what situations do you think Parkinson's Law has positive and negative effects on you?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/156</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In what situations do you think Parkinson's Law has positive and negative effects on you?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/156">www.superdatascience.com/156</a></p>]]>
      </content:encoded>
      <itunes:duration>476</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/442529247]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7800358672.mp3?updated=1722419885" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>155: How AI and Blockchain Converge</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with complexity scientist, Francesco Corea. You will hear what is a complexity scientist, learn the benefits of the intersection of AI and blockchain, and know the pros and cons of being knowledgeable in different fields like AI and blockchain.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/155</description>
      <pubDate>Wed, 09 May 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f4e2f952-1c33-11ef-9765-575b1cca2bf8/image/dc6a941c984a6f825391d95c3e22cc57.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with complexity scientist, Francesco Corea. You will hear what is a complexity scientist, learn the benefits of the intersection of AI and blockchain, and know the pros and cons of being knowledgeable in different fields like AI and blockchain.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with complexity scientist, Francesco Corea. You will hear what is a complexity scientist, learn the benefits of the intersection of AI and blockchain, and know the pros and cons of being knowledgeable in different fields like AI and blockchain.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/155</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with complexity scientist, Francesco Corea. You will hear what is a complexity scientist, learn the benefits of the intersection of AI and blockchain, and know the pros and cons of being knowledgeable in different fields like AI and blockchain.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/155">www.superdatascience.com/155</a></p>]]>
      </content:encoded>
      <itunes:duration>2960</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/441650787]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7831749983.mp3?updated=1722419850" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>154: Why Socializing is Crucial</title>
      <description>What was the most memorable socialization you've experienced and what are the amazing things you learned from it?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/154</description>
      <pubDate>Fri, 04 May 2018 12:10:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f5765f26-1c33-11ef-9765-8b228f9b1d8d/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What was the most memorable socialization you've experienced and what are the amazing things you learned from it?</itunes:subtitle>
      <itunes:summary>What was the most memorable socialization you've experienced and what are the amazing things you learned from it?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/154</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What was the most memorable socialization you've experienced and what are the amazing things you learned from it?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/154">www.superdatascience.com/154</a></p>]]>
      </content:encoded>
      <itunes:duration>471</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3041452476.mp3?updated=1722419802" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>153: Tips to Improve your Memory</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the founder of Magnetic Memory Method, Anthony Metivier. You will hear about the 7 magnetic modes to easily memorize stuff, learn how to find your own memory palace and navigate through it, and know how to use memory techniques in your day-to-day life.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/153</description>
      <pubDate>Wed, 02 May 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f5fea7e6-1c33-11ef-9765-2f7ae8eeaeb1/image/8d5facadf44eeac9d686c011a71a161f.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the founder of Magnetic Memory Method, Anthony Metivier. You will hear about the 7 magnetic modes to easily memorize stuff, learn how to find your own memory palace and navigate through it, and know how to use memory techniques in your day-to-day life.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the founder of Magnetic Memory Method, Anthony Metivier. You will hear about the 7 magnetic modes to easily memorize stuff, learn how to find your own memory palace and navigate through it, and know how to use memory techniques in your day-to-day life.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/153</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the founder of Magnetic Memory Method, Anthony Metivier. You will hear about the 7 magnetic modes to easily memorize stuff, learn how to find your own memory palace and navigate through it, and know how to use memory techniques in your day-to-day life.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/153">www.superdatascience.com/153</a></p>]]>
      </content:encoded>
      <itunes:duration>3987</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/438272232]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5954128832.mp3?updated=1722419767" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>152: Data Science GO 2018</title>
      <description>Are you excited to see how DataScienceGO 2018 will propel your career forward?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/152</description>
      <pubDate>Fri, 27 Apr 2018 14:12:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f671e134-1c33-11ef-9765-87bdfdff718e/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Are you excited to see how DataScienceGO 2018 will propel your career forward?</itunes:subtitle>
      <itunes:summary>Are you excited to see how DataScienceGO 2018 will propel your career forward?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/152</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Are you excited to see how DataScienceGO 2018 will propel your career forward?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/152">www.superdatascience.com/152</a></p>]]>
      </content:encoded>
      <itunes:duration>668</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/435990117]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4247260103.mp3?updated=1722419726" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>151: Women in Data Science &amp; How to Help</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with R enthusiast, Lucy D’Agostino McGowan. You will hear about empowering gender minorities in the field of Data Science, learn about considering the use of propensity scores when dealing with non-randomized control samples, and learn how to use best practices in conveying information to avoid information overload.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/151</description>
      <pubDate>Wed, 25 Apr 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f6f618dc-1c33-11ef-9765-5b1581c629bc/image/cd803961e18f6fde96793e01d5015fdd.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with R enthusiast, Lucy D’Agostino McGowan. You will hear about empowering gender minorities in the field of Data Science, learn about considering the use of propensity scores when dealing with non-randomized control samples, and learn how to use best practices in conveying information to avoid information overload.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with R enthusiast, Lucy D’Agostino McGowan. You will hear about empowering gender minorities in the field of Data Science, learn about considering the use of propensity scores when dealing with non-randomized control samples, and learn how to use best practices in conveying information to avoid information overload.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/151</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with R enthusiast, Lucy D’Agostino McGowan. You will hear about empowering gender minorities in the field of Data Science, learn about considering the use of propensity scores when dealing with non-randomized control samples, and learn how to use best practices in conveying information to avoid information overload.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/151">www.superdatascience.com/151</a></p>]]>
      </content:encoded>
      <itunes:duration>4301</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/434868702]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9242183731.mp3?updated=1722419690" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>150: Have a Mentor</title>
      <description>Do you already have mentors helping to guide your career or life?

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/150</description>
      <pubDate>Fri, 20 Apr 2018 14:00:00 -0000</pubDate>
      <itunes:title>150: Have a Mentor</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f77fe3aa-1c33-11ef-9765-573a65319a48/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Do you already have mentors helping to guide your career or life?</itunes:subtitle>
      <itunes:summary>Do you already have mentors helping to guide your career or life?

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/150</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Do you already have mentors helping to guide your career or life?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/150">https://www.superdatascience.com/150</a></p>]]>
      </content:encoded>
      <itunes:duration>1337</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/432498282]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1935626460.mp3?updated=1717502107" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>149: Data Science Tips for Startups to Large Companies</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Associate Director of Data Science for Merck and Co., You will learn about Data Science Leadership and how to serve your team, hear about the rapidly evolving world of AI startups, and the ethical implications of Artificial Intelligence with its rapid integration in the society.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/149</description>
      <pubDate>Wed, 18 Apr 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f7fc96fc-1c33-11ef-9765-b3a2158490db/image/08378445b0898dad4a029b852f712b01.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Associate Director of Data Science for Merck and Co., You will learn about Data Science Leadership and how to serve your team, hear about the rapidly evolving world of AI startups, and the ethical implications of Artificial Intelligence with its rapid integration in the society.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Associate Director of Data Science for Merck and Co., You will learn about Data Science Leadership and how to serve your team, hear about the rapidly evolving world of AI startups, and the ethical implications of Artificial Intelligence with its rapid integration in the society.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/149</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Associate Director of Data Science for Merck and Co., You will learn about Data Science Leadership and how to serve your team, hear about the rapidly evolving world of AI startups, and the ethical implications of Artificial Intelligence with its rapid integration in the society.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/149">www.superdatascience.com/149</a></p>]]>
      </content:encoded>
      <itunes:duration>4171</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/431657913]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6934907526.mp3?updated=1722346229" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>148: The Trolley Problem</title>
      <description>What would possibly be your attitude towards self-driving cars?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/148</description>
      <pubDate>Fri, 13 Apr 2018 18:12:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f89020b6-1c33-11ef-9765-6bb240d5fd89/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What would possibly be your attitude towards self-driving cars?</itunes:subtitle>
      <itunes:summary>What would possibly be your attitude towards self-driving cars?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/148</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What would possibly be your attitude towards self-driving cars?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/148">www.superdatascience.com/148</a></p>]]>
      </content:encoded>
      <itunes:duration>719</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/429269202]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4491521375.mp3?updated=1722346191" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>147: How to Live a More Fulfilling Life - Time &amp; Energy Management</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with independent turnaround consultant, Vitaly Dolgov. You'll hear about a scheduling system that gets so many things done, know how to block out your time in your calendar and then commit to it, and learn the power of routines by removing unnecessary decision-making.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/147</description>
      <pubDate>Wed, 11 Apr 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f8fa5aee-1c33-11ef-9765-d317485afa0c/image/28fc2f602597dc71e29dd5726842818d.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with independent turnaround consultant, Vitaly Dolgov. You'll hear about a scheduling system that gets so many things done, know how to block out your time in your calendar and then commit to it, and learn the power of routines by removing unnecessary decision-making.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with independent turnaround consultant, Vitaly Dolgov. You'll hear about a scheduling system that gets so many things done, know how to block out your time in your calendar and then commit to it, and learn the power of routines by removing unnecessary decision-making.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/147</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with independent turnaround consultant, Vitaly Dolgov. You'll hear about a scheduling system that gets so many things done, know how to block out your time in your calendar and then commit to it, and learn the power of routines by removing unnecessary decision-making.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/147">www.superdatascience.com/147</a></p>]]>
      </content:encoded>
      <itunes:duration>5014</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/428216073]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5936221740.mp3?updated=1722346154" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>146: Empathy and Compassion</title>
      <description>Can you think of any situation in the past where compassion would have helped you?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/146</description>
      <pubDate>Fri, 06 Apr 2018 16:56:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/f9acc6fc-1c33-11ef-9765-2b11f4893c42/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Can you think of any situation in the past where compassion would have helped you?</itunes:subtitle>
      <itunes:summary>Can you think of any situation in the past where compassion would have helped you?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/146</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Can you think of any situation in the past where compassion would have helped you?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/146">www.superdatascience.com/146</a></p>]]>
      </content:encoded>
      <itunes:duration>588</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/425771337]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5588227704.mp3?updated=1722346120" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>145: How to Use Data Science In Offline Business</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Serial Entrepreneur, Josey Parks. You will learn how a brick-and-mortar entrepreneur is leveraging data to build a business empire, know how Josey is training his salesmen as data analysts, and get valuable tips on spreading the power of data in the contractor industry.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/145</description>
      <pubDate>Wed, 04 Apr 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fa32c91e-1c33-11ef-9765-d701fbf507d7/image/5132f135eb5a487a394c0d611e70634d.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Serial Entrepreneur, Josey Parks. You will learn how a brick-and-mortar entrepreneur is leveraging data to build a business empire, know how Josey is training his salesmen as data analysts, and get valuable tips on spreading the power of data in the contractor industry.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Serial Entrepreneur, Josey Parks. You will learn how a brick-and-mortar entrepreneur is leveraging data to build a business empire, know how Josey is training his salesmen as data analysts, and get valuable tips on spreading the power of data in the contractor industry.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/145</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Serial Entrepreneur, Josey Parks. You will learn how a brick-and-mortar entrepreneur is leveraging data to build a business empire, know how Josey is training his salesmen as data analysts, and get valuable tips on spreading the power of data in the contractor industry.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/145">www.superdatascience.com/145</a></p>]]>
      </content:encoded>
      <itunes:duration>3825</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/424757778]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3152118539.mp3?updated=1722346085" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>144: Two Things to Remember and Two Things to Forget</title>
      <description>What could be the two things you want to remember and the two things that you need to forget?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/144</description>
      <pubDate>Fri, 30 Mar 2018 15:56:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fab7060c-1c33-11ef-9765-e3c43175c500/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What could be the two things you want to remember and the two things that you need to forget?</itunes:subtitle>
      <itunes:summary>What could be the two things you want to remember and the two things that you need to forget?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/144</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What could be the two things you want to remember and the two things that you need to forget?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/144">www.superdatascience.com/144</a></p>]]>
      </content:encoded>
      <itunes:duration>379</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/422371887]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1114186438.mp3?updated=1722346052" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>143: Why Sensors and the Internet of Things are Becoming A Critical Part of Data Science</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Senior Consultant of Data Science at b.telligent, Dr. Andreas Hopfgartner. You will hear about the "Internet of Things", Sensor Data, and their integration into our daily lives; you will also learn about the different skills, techniques, and the future of some of the tools used in Data Science; and also learn a systematic and structured approach to breaking into a Data Science career.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/143</description>
      <pubDate>Wed, 28 Mar 2018 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fb2e77d2-1c33-11ef-9765-a78d3e6f594d/image/6dd361593e9658ce5b85d19d28cc81b5.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Senior Consultant of Data Science at b.telligent, Dr. Andreas Hopfgartner. You will hear about the "Internet of Things", Sensor Data, and their integration into our daily lives; you will also learn about the different skills, techniques, and the future of some of the tools used in Data Science; and also learn a systematic and structured approach to breaking into a Data Science career.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Senior Consultant of Data Science at b.telligent, Dr. Andreas Hopfgartner. You will hear about the "Internet of Things", Sensor Data, and their integration into our daily lives; you will also learn about the different skills, techniques, and the future of some of the tools used in Data Science; and also learn a systematic and structured approach to breaking into a Data Science career.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/143</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Senior Consultant of Data Science at b.telligent, Dr. Andreas Hopfgartner. You will hear about the "Internet of Things", Sensor Data, and their integration into our daily lives; you will also learn about the different skills, techniques, and the future of some of the tools used in Data Science; and also learn a systematic and structured approach to breaking into a Data Science career.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/143">www.superdatascience.com/143</a></p>]]>
      </content:encoded>
      <itunes:duration>4089</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/421565244]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2847319162.mp3?updated=1722345922" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>142: Coworking</title>
      <description>Have you ever tried going to a coworking space? How do you think can this impact your career?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/142</description>
      <pubDate>Fri, 23 Mar 2018 15:58:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fba3c37a-1c33-11ef-9765-c32101363e5c/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Have you ever tried going to a coworking space? How do you think can this impact your career?</itunes:subtitle>
      <itunes:summary>Have you ever tried going to a coworking space? How do you think can this impact your career?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/142</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Have you ever tried going to a coworking space? How do you think can this impact your career?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/142">www.superdatascience.com/142</a></p>]]>
      </content:encoded>
      <itunes:duration>355</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/418352024]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7391582787.mp3?updated=1722345888" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>141: Supply Chain Analytics, Worldwide Consulting and Learning Data Science In Your Career</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Project Leader at The Boston Consulting Group, Artem Vladimirov. You will learn about the different aspects of supply chain analytics and consulting, the data science used for solving supply chain challenges, and how to get into, survive, and succeed in a worldwide consulting firm.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/141</description>
      <pubDate>Wed, 21 Mar 2018 23:09:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fc1d4c36-1c33-11ef-9765-7b105f406fbd/image/a3fc8b055f047d92a4063fe0472d640e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Project Leader at The Boston Consulting Group, Artem Vladimirov. You will learn about the different aspects of supply chain analytics and consulting, the data science used for solving supply chain challenges, and how to get into, survive, and succeed in a worldwide consulting firm.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Project Leader at The Boston Consulting Group, Artem Vladimirov. You will learn about the different aspects of supply chain analytics and consulting, the data science used for solving supply chain challenges, and how to get into, survive, and succeed in a worldwide consulting firm.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/141</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Project Leader at The Boston Consulting Group, Artem Vladimirov. You will learn about the different aspects of supply chain analytics and consulting, the data science used for solving supply chain challenges, and how to get into, survive, and succeed in a worldwide consulting firm.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/141">www.superdatascience.com/141</a></p>]]>
      </content:encoded>
      <itunes:duration>3400</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/417306318]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4267838978.mp3?updated=1722345859" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>140: Upper Limiting</title>
      <description>What do you think is your thermostat set to? And what can you do to set it higher?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/140</description>
      <pubDate>Fri, 16 Mar 2018 15:34:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fc92da8c-1c33-11ef-9765-73fc7cbc4e64/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What do you think is your thermostat set to? And what can you do to set it higher?</itunes:subtitle>
      <itunes:summary>What do you think is your thermostat set to? And what can you do to set it higher?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/140</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What do you think is your thermostat set to? And what can you do to set it higher?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/140">www.superdatascience.com/140</a></p>]]>
      </content:encoded>
      <itunes:duration>624</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/414640104]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3297153215.mp3?updated=1722345827" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>139: The Rise of Blockchain: A Disruptive Super-Technology Much More Than Bitcoin</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Artificial Intelligence Entrepreneur, the one and only, Hadelin de Ponteves. You will hear why learning Blockchain makes perfect sense in this generation right now, the no. 1 reason why Blockchain is so disruptive, and learn valuable insights on real life and innovative applications of Blockchain technology.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/139</description>
      <pubDate>Wed, 14 Mar 2018 23:02:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fd22eba4-1c33-11ef-9765-cfc6aabbbb42/image/1f560b5c856084938757301dcae8a112.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Artificial Intelligence Entrepreneur, the one and only, Hadelin de Ponteves. You will hear why learning Blockchain makes perfect sense in this generation right now, the no. 1 reason why Blockchain is so disruptive, and learn valuable insights on real life and innovative applications of Blockchain technology.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Artificial Intelligence Entrepreneur, the one and only, Hadelin de Ponteves. You will hear why learning Blockchain makes perfect sense in this generation right now, the no. 1 reason why Blockchain is so disruptive, and learn valuable insights on real life and innovative applications of Blockchain technology.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/139</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Artificial Intelligence Entrepreneur, the one and only, Hadelin de Ponteves. You will hear why learning Blockchain makes perfect sense in this generation right now, the no. 1 reason why Blockchain is so disruptive, and learn valuable insights on real life and innovative applications of Blockchain technology.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/139">www.superdatascience.com/139</a></p>]]>
      </content:encoded>
      <itunes:duration>3313</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/413786049]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6745791275.mp3?updated=1722345785" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>138: Zone of Genius</title>
      <description>Which part of your life would you classify as being the “Zone of Genius”?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/138</description>
      <pubDate>Fri, 09 Mar 2018 16:33:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fda1b9a2-1c33-11ef-9765-17910ba77bf6/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Which part of your life would you classify as being the “Zone of Genius”?</itunes:subtitle>
      <itunes:summary>Which part of your life would you classify as being the “Zone of Genius”?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/138</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Which part of your life would you classify as being the “Zone of Genius”?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/138">www.superdatascience.com/138</a></p>]]>
      </content:encoded>
      <itunes:duration>600</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/411152682]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5974382745.mp3?updated=1722345744" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>137: Cloud Technology: How It’s Changing Data Science, Collaboration and Enterprise</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the General Manager and Chief Business Officer for the Watson Cloud Platform at IBM, Derek Schoettle. You will hear what IBM is doing in the Cloud technology space, learn how data scientists are using Cloud technology to be more efficient and collaborative and know why executives need to be data literate and how they can approach learning data literacy.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/137</description>
      <pubDate>Thu, 08 Mar 2018 00:01:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fe1c2a2a-1c33-11ef-9765-fbe7f604a144/image/71833c14d66f1f541afab4adae8a671c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the General Manager and Chief Business Officer for the Watson Cloud Platform at IBM, Derek Schoettle. You will hear what IBM is doing in the Cloud technology space, learn how data scientists are using Cloud technology to be more efficient and collaborative and know why executives need to be data literate and how they can approach learning data literacy.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the General Manager and Chief Business Officer for the Watson Cloud Platform at IBM, Derek Schoettle. You will hear what IBM is doing in the Cloud technology space, learn how data scientists are using Cloud technology to be more efficient and collaborative and know why executives need to be data literate and how they can approach learning data literacy.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/137</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the General Manager and Chief Business Officer for the Watson Cloud Platform at IBM, Derek Schoettle. You will hear what IBM is doing in the Cloud technology space, learn how data scientists are using Cloud technology to be more efficient and collaborative and know why executives need to be data literate and how they can approach learning data literacy.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/137">www.superdatascience.com/137</a></p>]]>
      </content:encoded>
      <itunes:duration>3480</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/410284746]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3092463712.mp3?updated=1722345712" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>136: Learn Blockchain!</title>
      <description>Have you already heard about Blockchain? What is its aspect that has been very challenging for you?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/136</description>
      <pubDate>Fri, 02 Mar 2018 16:10:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/fea53554-1c33-11ef-9765-af776faaa357/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Have you already heard about Blockchain? What is its aspect that has been very challenging for you?</itunes:subtitle>
      <itunes:summary>Have you already heard about Blockchain? What is its aspect that has been very challenging for you?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/136</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Have you already heard about Blockchain? What is its aspect that has been very challenging for you?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/136">www.superdatascience.com/136</a></p>]]>
      </content:encoded>
      <itunes:duration>570</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/407626113]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3381381323.mp3?updated=1722345677" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>135: How Directors of Data Science Changes the World with Machine Learning and AI</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Senior Director of Data Sciences at BigSquid, Jorge Zuloaga and the Director of Data Science at HireVue Lindsey Zuloaga. You will hear about high-level automation of Machine Learning and the concept of the citizen data scientist, learn the application of Deep Learning in HR and how to prevent bias in Artificial Intelligence, know how this data-centric "power couple" managed to break into the industry of Data Science, and also learn about the future of data science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/135</description>
      <pubDate>Wed, 28 Feb 2018 23:50:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ff2086d2-1c33-11ef-9765-9b2ff68753fa/image/94bd171b6131f6da457efcbaaafc6e34.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Senior Director of Data Sciences at BigSquid, Jorge Zuloaga and the Director of Data Science at HireVue Lindsey Zuloaga. You will hear about high-level automation of Machine Learning and the concept of the citizen data scientist, learn the application of Deep Learning in HR and how to prevent bias in Artificial Intelligence, know how this data-centric "power couple" managed to break into the industry of Data Science, and also learn about the future of data science.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Senior Director of Data Sciences at BigSquid, Jorge Zuloaga and the Director of Data Science at HireVue Lindsey Zuloaga. You will hear about high-level automation of Machine Learning and the concept of the citizen data scientist, learn the application of Deep Learning in HR and how to prevent bias in Artificial Intelligence, know how this data-centric "power couple" managed to break into the industry of Data Science, and also learn about the future of data science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/135</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Senior Director of Data Sciences at BigSquid, Jorge Zuloaga and the Director of Data Science at HireVue Lindsey Zuloaga. You will hear about high-level automation of Machine Learning and the concept of the citizen data scientist, learn the application of Deep Learning in HR and how to prevent bias in Artificial Intelligence, know how this data-centric "power couple" managed to break into the industry of Data Science, and also learn about the future of data science.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/135">www.superdatascience.com/135</a></p>]]>
      </content:encoded>
      <itunes:duration>4110</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/406753101]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1443640807.mp3?updated=1722345643" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>134: How do Lobsters Grow?</title>
      <description>What stressful situations have you encountered, or you think might come across in the next couple of days, and can you maybe treat them as signals for growth rather than simply adverse situations?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/134</description>
      <pubDate>Fri, 23 Feb 2018 15:23:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ffa13d90-1c33-11ef-9765-fbab79cef0db/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What stressful situations have you encountered, or you think might come across in the next couple of days, and can you maybe treat them as signals for growth rather than simply adverse situations?</itunes:subtitle>
      <itunes:summary>What stressful situations have you encountered, or you think might come across in the next couple of days, and can you maybe treat them as signals for growth rather than simply adverse situations?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/134</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What stressful situations have you encountered, or you think might come across in the next couple of days, and can you maybe treat them as signals for growth rather than simply adverse situations?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/134">www.superdatascience.com/134</a></p>]]>
      </content:encoded>
      <itunes:duration>283</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/404053725]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1987347988.mp3?updated=1722345612" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>133: How a Passion for Tableau Changed a Life</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Founder of The Information Lab, Tom Brown. You will hear about the origins of the Data School, discover a Tableau addiction, and be inspired by how passionate Tom is about Tableau and how that passion has driven his career and shaped him along the way.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/133</description>
      <pubDate>Thu, 22 Feb 2018 00:13:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/002772d4-1c34-11ef-9765-ef17ddad138d/image/6035931bfb0c325ee5a1f3d83eb12b73.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Founder of The Information Lab, Tom Brown. You will hear about the origins of the Data School, discover a Tableau addiction, and be inspired by how passionate Tom is about Tableau and how that passion has driven his career and shaped him along the way.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Founder of The Information Lab, Tom Brown. You will hear about the origins of the Data School, discover a Tableau addiction, and be inspired by how passionate Tom is about Tableau and how that passion has driven his career and shaped him along the way.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/133</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Founder of The Information Lab, Tom Brown. You will hear about the origins of the Data School, discover a Tableau addiction, and be inspired by how passionate Tom is about Tableau and how that passion has driven his career and shaped him along the way.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/133">www.superdatascience.com/133</a></p>]]>
      </content:encoded>
      <itunes:duration>4034</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/403250052]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8065440324.mp3?updated=1722345564" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>132: The Data-Driven Executive</title>
      <description>How do you think your organization can become more data-driven this month?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/132</description>
      <pubDate>Fri, 16 Feb 2018 15:04:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/00a195f0-1c34-11ef-9765-7f79ea8978e1/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How do you think your organization can become more data-driven this month?</itunes:subtitle>
      <itunes:summary>How do you think your organization can become more data-driven this month?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/132</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How do you think your organization can become more data-driven this month?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/132">www.superdatascience.com/132</a></p>]]>
      </content:encoded>
      <itunes:duration>789</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/400563882]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5514422847.mp3?updated=1722345522" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>131: The One Purpose to Data Science and The Truth about Analytics</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Data Science Thought Leader, Eugene Dubossarsky. You will hear about the one purpose to data science, learn how to distinguish real data science from fake analytics, hear about large-scale data science consulting, and get ideas on how executives should think about data science in the years to come.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/131</description>
      <pubDate>Thu, 15 Feb 2018 00:40:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/01154aa4-1c34-11ef-9765-777889fe410d/image/daf90144ab6b6ad9a11644820361a55e.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Data Science Thought Leader, Eugene Dubossarsky. You will hear about the one purpose to data science, learn how to distinguish real data science from fake analytics, hear about large-scale data science consulting, and get ideas on how executives should think about data science in the years to come.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Data Science Thought Leader, Eugene Dubossarsky. You will hear about the one purpose to data science, learn how to distinguish real data science from fake analytics, hear about large-scale data science consulting, and get ideas on how executives should think about data science in the years to come.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/131</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Data Science Thought Leader, Eugene Dubossarsky. You will hear about the one purpose to data science, learn how to distinguish real data science from fake analytics, hear about large-scale data science consulting, and get ideas on how executives should think about data science in the years to come.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/131">www.superdatascience.com/131</a></p>]]>
      </content:encoded>
      <itunes:duration>4379</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/399791304]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9342788187.mp3?updated=1722345484" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>130: Instant Gratification Monkey</title>
      <description>What are your ways of controlling procrastination?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/130</description>
      <pubDate>Fri, 09 Feb 2018 16:34:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0191bc4c-1c34-11ef-9765-bb76daddf5e8/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What are your ways of controlling procrastination?</itunes:subtitle>
      <itunes:summary>What are your ways of controlling procrastination?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/130</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What are your ways of controlling procrastination?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/130">www.superdatascience.com/130</a></p>]]>
      </content:encoded>
      <itunes:duration>518</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/396937647]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8629390069.mp3?updated=1722345421" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>129: Database Challenges for Data Science and How to Deal With Them</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Managing Partner at SQL Database Modeller, Ajay Singh. You will hear all about database normalizations, primary keys, foreign keys, and schemas. Also, you will learn what are the common database design issues and learn the three trends to look out for in the world of databases.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/129</description>
      <pubDate>Thu, 08 Feb 2018 00:08:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/020b0548-1c34-11ef-9765-4b02f3e4bdf1/image/3f0fe3f04b84915d65ced47ba06e2e9d.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Managing Partner at SQL Database Modeller, Ajay Singh. You will hear all about database normalizations, primary keys, foreign keys, and schemas. Also, you will learn what are the common database design issues and learn the three trends to look out for in the world of databases.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Managing Partner at SQL Database Modeller, Ajay Singh. You will hear all about database normalizations, primary keys, foreign keys, and schemas. Also, you will learn what are the common database design issues and learn the three trends to look out for in the world of databases.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/129</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Managing Partner at SQL Database Modeller, Ajay Singh. You will hear all about database normalizations, primary keys, foreign keys, and schemas. Also, you will learn what are the common database design issues and learn the three trends to look out for in the world of databases.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/129">www.superdatascience.com/129</a></p>]]>
      </content:encoded>
      <itunes:duration>2962</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/396098355]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9287070340.mp3?updated=1722345374" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>128: Confident Data Skills</title>
      <description>Are you ready to learn how to gain confident data skills?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/128</description>
      <pubDate>Fri, 02 Feb 2018 16:26:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/028143e8-1c34-11ef-9765-df925154f864/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Are you ready to learn how to gain confident data skills?</itunes:subtitle>
      <itunes:summary>Are you ready to learn how to gain confident data skills?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/128</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Are you ready to learn how to gain confident data skills?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/128">www.superdatascience.com/128</a></p>]]>
      </content:encoded>
      <itunes:duration>450</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/393474213]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1515231876.mp3?updated=1722345339" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>127: No Compromise: Tableau, Twitter and Fearless Career Shifts</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Head of Business Intelligence at EXASOL, Eva Murray. You will listen to the start of a visual analytics journey, hear about Eva's career decisions which took her around the world, learn about Tableau and an intro to those who are new to the tool, and learn about the current opportunities at Exasol.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/127</description>
      <pubDate>Wed, 31 Jan 2018 23:59:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/02fe76f6-1c34-11ef-9765-17b08191cd29/image/972945df8ca5253554c2b930ec51661a.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Head of Business Intelligence at EXASOL, Eva Murray. You will listen to the start of a visual analytics journey, hear about Eva's career decisions which took her around the world, learn about Tableau and an intro to those who are new to the tool, and learn about the current opportunities at Exasol.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Head of Business Intelligence at EXASOL, Eva Murray. You will listen to the start of a visual analytics journey, hear about Eva's career decisions which took her around the world, learn about Tableau and an intro to those who are new to the tool, and learn about the current opportunities at Exasol.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/127</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Head of Business Intelligence at EXASOL, Eva Murray. You will listen to the start of a visual analytics journey, hear about Eva's career decisions which took her around the world, learn about Tableau and an intro to those who are new to the tool, and learn about the current opportunities at Exasol.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/127">www.superdatascience.com/127</a></p>]]>
      </content:encoded>
      <itunes:duration>4309</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/392655654]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8238928561.mp3?updated=1722345301" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>126: Ender's Game</title>
      <description>What's your favorite fiction book? And, what experience or lessons have you taken out from it?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/126</description>
      <pubDate>Fri, 26 Jan 2018 17:28:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0381489c-1c34-11ef-9765-e7664d99a1a7/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What's your favorite fiction book? And, what experience or lessons have you taken out from it?</itunes:subtitle>
      <itunes:summary>What's your favorite fiction book? And, what experience or lessons have you taken out from it?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/126</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What's your favorite fiction book? And, what experience or lessons have you taken out from it?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/126">www.superdatascience.com/126</a></p>]]>
      </content:encoded>
      <itunes:duration>446</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/389505468]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3744383380.mp3?updated=1722345263" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>125: A Glimpse into the Virtual Reality World of the Future</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Co-Founder of the MMOne Project, Andrew Borisov. You will hear about the Out-of-Home VR Entertainment Market Landscape and the future of Virtual Reality, and learn about future trends, particularly moving to virtual worlds and job losses.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/125</description>
      <pubDate>Wed, 24 Jan 2018 23:35:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/03fe2222-1c34-11ef-9765-f76ecbab5463/image/27708ecc06614f2228da3387bcdcd2a1.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Co-Founder of the MMOne Project, Andrew Borisov. You will hear about the Out-of-Home VR Entertainment Market Landscape and the future of Virtual Reality, and learn about future trends, particularly moving to virtual worlds and job losses.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Co-Founder of the MMOne Project, Andrew Borisov. You will hear about the Out-of-Home VR Entertainment Market Landscape and the future of Virtual Reality, and learn about future trends, particularly moving to virtual worlds and job losses.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/125</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Co-Founder of the MMOne Project, Andrew Borisov. You will hear about the Out-of-Home VR Entertainment Market Landscape and the future of Virtual Reality, and learn about future trends, particularly moving to virtual worlds and job losses.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/125">www.superdatascience.com/125</a></p>]]>
      </content:encoded>
      <itunes:duration>3395</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/388658922]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8360358194.mp3?updated=1722345220" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>124: Reckless Commitment</title>
      <description>What are some of your reckless commitments?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/124</description>
      <pubDate>Fri, 19 Jan 2018 12:14:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0484c8e0-1c34-11ef-9765-af0c5e3c642f/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What are some of your reckless commitments?</itunes:subtitle>
      <itunes:summary>What are some of your reckless commitments?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/124</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What are some of your reckless commitments?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/124">www.superdatascience.com/124</a></p>]]>
      </content:encoded>
      <itunes:duration>619</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/385938635]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2065761337.mp3?updated=1722345163" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>123: How to be Unstoppable: Data Science, Reckless Commitment &amp; Artificial Intelligence</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the unstoppable, Rico Meinl. You will learn the practical applications of AI and why it is important, know the different tactics for applying your passion while still learning, and listen to a discussion on how to set up an AI lab at an e-commerce-ready company.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/123</description>
      <pubDate>Wed, 17 Jan 2018 23:20:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/05373e4e-1c34-11ef-9765-83992b67bc65/image/87cca001ecbb22bef71f99aff7931af0.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the unstoppable, Rico Meinl. You will learn the practical applications of AI and why it is important, know the different tactics for applying your passion while still learning, and listen to a discussion on how to set up an AI lab at an e-commerce-ready company.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the unstoppable, Rico Meinl. You will learn the practical applications of AI and why it is important, know the different tactics for applying your passion while still learning, and listen to a discussion on how to set up an AI lab at an e-commerce-ready company.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/123</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the unstoppable, Rico Meinl. You will learn the practical applications of AI and why it is important, know the different tactics for applying your passion while still learning, and listen to a discussion on how to set up an AI lab at an e-commerce-ready company.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/123">www.superdatascience.com/123</a></p>]]>
      </content:encoded>
      <itunes:duration>3422</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/385203032]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5478238462.mp3?updated=1722345119" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>122: Who Moved My Cheese?</title>
      <description>What changes in life are you starting to work on in this new year?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/122</description>
      <pubDate>Fri, 12 Jan 2018 15:17:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/05c2eb9c-1c34-11ef-9765-b33b6375807b/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What changes in life are you starting to work on in this new year?</itunes:subtitle>
      <itunes:summary>What changes in life are you starting to work on in this new year?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/122</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What changes in life are you starting to work on in this new year?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/122">www.superdatascience.com/122</a></p>]]>
      </content:encoded>
      <itunes:duration>464</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/382548653]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2993331191.mp3?updated=1722345026" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>121: Building a Successful Data Science Practice and How to be an Effective Data Scientist</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Senior Data Scientist at the Australian Federal Government, Dr. Alex Antic. You will hear how Alex loves meet-ups and how he spreads the word about data science, learn the 3 things you need to build a successful data practice, know the 4 point framework in becoming an effective data scientist, and listen to his incredible career journey, including investment banks, insurance &amp; government.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/121</description>
      <pubDate>Wed, 10 Jan 2018 23:03:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0633e194-1c34-11ef-9765-ebc31f126c41/image/dc084416237aa333bdfc42a3d2f6472f.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Senior Data Scientist at the Australian Federal Government, Dr. Alex Antic. You will hear how Alex loves meet-ups and how he spreads the word about data science, learn the 3 things you need to build a successful data practice, know the 4 point framework in becoming an effective data scientist, and listen to his incredible career journey, including investment banks, insurance &amp; government.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Senior Data Scientist at the Australian Federal Government, Dr. Alex Antic. You will hear how Alex loves meet-ups and how he spreads the word about data science, learn the 3 things you need to build a successful data practice, know the 4 point framework in becoming an effective data scientist, and listen to his incredible career journey, including investment banks, insurance &amp; government.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/121</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Senior Data Scientist at the Australian Federal Government, Dr. Alex Antic. You will hear how Alex loves meet-ups and how he spreads the word about data science, learn the 3 things you need to build a successful data practice, know the 4 point framework in becoming an effective data scientist, and listen to his incredible career journey, including investment banks, insurance &amp; government.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/121">www.superdatascience.com/121</a></p>]]>
      </content:encoded>
      <itunes:duration>4674</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/381751550]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8774907237.mp3?updated=1722344899" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>120: Technological Singularity</title>
      <description>What is your opinion about superintelligence and singularity, and how do you think it can affect society and humanity?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/120</description>
      <pubDate>Fri, 05 Jan 2018 19:28:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/06a632bc-1c34-11ef-9765-e37219eff20c/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What is your opinion about superintelligence and singularity, and how do you think it can affect society and humanity?</itunes:subtitle>
      <itunes:summary>What is your opinion about superintelligence and singularity, and how do you think it can affect society and humanity?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/120</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What is your opinion about superintelligence and singularity, and how do you think it can affect society and humanity?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/120">www.superdatascience.com/120</a></p>]]>
      </content:encoded>
      <itunes:duration>1015</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/379280489]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3494106647.mp3?updated=1721208701" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>119: Data Science Trends for 2018</title>
      <description>In this episode of the SuperDataScience Podcast, we are bringing you into the future as Hadelin de Ponteves and I discuss the key data science trends to look out for in 2018 including those we are most excited about and why. We will discuss Blockchain and AI as a powerful disruptive combination, talk about how Deep Learning technology is becoming mainstream, mention the different upskilling executives in data, and discuss the importance of data strategy.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/119</description>
      <pubDate>Wed, 03 Jan 2018 23:01:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/072aabbe-1c34-11ef-9765-1bba6e808589/image/436c709d91ad03db6aad4a05530a4798.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, we are bringing you into the future as Hadelin de Ponteves and I discuss the key data science trends to look out for in 2018 including those we are most excited about and why. We will discuss Blockchain and AI as a powerful disruptive combination, talk about how Deep Learning technology is becoming mainstream, mention the different upskilling executives in data, and discuss the importance of data strategy.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, we are bringing you into the future as Hadelin de Ponteves and I discuss the key data science trends to look out for in 2018 including those we are most excited about and why. We will discuss Blockchain and AI as a powerful disruptive combination, talk about how Deep Learning technology is becoming mainstream, mention the different upskilling executives in data, and discuss the importance of data strategy.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/119</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, we are bringing you into the future as Hadelin de Ponteves and I discuss the key data science trends to look out for in 2018 including those we are most excited about and why. We will discuss Blockchain and AI as a powerful disruptive combination, talk about how Deep Learning technology is becoming mainstream, mention the different upskilling executives in data, and discuss the importance of data strategy.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/119">www.superdatascience.com/119</a></p>]]>
      </content:encoded>
      <itunes:duration>4005</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/378406061]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5348789473.mp3?updated=1721208723" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>118: New Year Resolutions</title>
      <description>If you were to make your New Year resolutions for 2018, what would these be?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/118</description>
      <pubDate>Fri, 29 Dec 2017 18:57:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/07b01786-1c34-11ef-9765-a7e5fc208d73/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>If you were to make your New Year resolutions for 2018, what would these be?</itunes:subtitle>
      <itunes:summary>If you were to make your New Year resolutions for 2018, what would these be?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/118</itunes:summary>
      <content:encoded>
        <![CDATA[<p>If you were to make your New Year resolutions for 2018, what would these be?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/118">www.superdatascience.com/118</a></p>]]>
      </content:encoded>
      <itunes:duration>951</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/376251794]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2218617102.mp3?updated=1721208746" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>117: 1-on-1 with Kirill: What I learned in 2017</title>
      <description>Welcome to a special episode I bring you before the year ends. I am going to share with you a one-on-one talk about everything I have learned throughout the year 2017, what exactly that meant for me, and also how these learnings changed me as a person. In this episode, I talk about the 6 needs, my personal reflections on 2017, and my insights about the secret to happiness.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/117</description>
      <pubDate>Thu, 28 Dec 2017 01:01:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0828db1c-1c34-11ef-9765-af9f11dce20d/image/bf40c076c7b290eb931b75a4873e5a9c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Welcome to a special episode I bring you before the year ends. I am going to share with you a one-on-one talk about everything I have learned throughout the year 2017, what exactly that meant for me, and also how these learnings changed me as a person. In this episode, I talk about the 6 needs, my personal reflections on 2017, and my insights about the secret to happiness.</itunes:subtitle>
      <itunes:summary>Welcome to a special episode I bring you before the year ends. I am going to share with you a one-on-one talk about everything I have learned throughout the year 2017, what exactly that meant for me, and also how these learnings changed me as a person. In this episode, I talk about the 6 needs, my personal reflections on 2017, and my insights about the secret to happiness.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/117</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Welcome to a special episode I bring you before the year ends. I am going to share with you a one-on-one talk about everything I have learned throughout the year 2017, what exactly that meant for me, and also how these learnings changed me as a person. In this episode, I talk about the 6 needs, my personal reflections on 2017, and my insights about the secret to happiness.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/117">www.superdatascience.com/117</a></p>]]>
      </content:encoded>
      <itunes:duration>8110</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/375537704]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6283438432.mp3?updated=1721208768" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>116: The Power of Gratitude</title>
      <description>What are the things you did or that happened to you during the day, that you are thankful for?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/116</description>
      <pubDate>Fri, 22 Dec 2017 17:32:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/089ce91c-1c34-11ef-9765-778c744b0002/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What are the things you did or that happened to you during the day, that you are thankful for?</itunes:subtitle>
      <itunes:summary>What are the things you did or that happened to you during the day, that you are thankful for?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/116</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What are the things you did or that happened to you during the day, that you are thankful for?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/116">www.superdatascience.com/116</a></p>]]>
      </content:encoded>
      <itunes:duration>495</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/373127300]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5446018266.mp3?updated=1721208788" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>115: Application of Geospatial Analytics to Business and Real Life</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Data Scientist, Neelabh Pant. You will hear about the indexing of spatial databases, learn about the disruptive innovation with data science, and learn how to create models to solve everyday problems.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/115</description>
      <pubDate>Thu, 21 Dec 2017 00:30:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/091ed760-1c34-11ef-9765-5bd3b8d5a6a3/image/dc26e8dbca7491aa18cff2ad5d302e89.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Data Scientist, Neelabh Pant. You will hear about the indexing of spatial databases, learn about the disruptive innovation with data science, and learn how to create models to solve everyday problems.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Data Scientist, Neelabh Pant. You will hear about the indexing of spatial databases, learn about the disruptive innovation with data science, and learn how to create models to solve everyday problems.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/115</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Data Scientist, Neelabh Pant. You will hear about the indexing of spatial databases, learn about the disruptive innovation with data science, and learn how to create models to solve everyday problems.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/115">www.superdatascience.com/115</a></p>]]>
      </content:encoded>
      <itunes:duration>4729</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/372370592]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3166658456.mp3?updated=1721208821" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>114: Expand Your Comfort Zone</title>
      <description>In what ways do you think you can step out of your comfort zone?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/114</description>
      <pubDate>Fri, 15 Dec 2017 18:07:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/09938e8e-1c34-11ef-9765-af6438a51bb2/image/b879357fcc6cf3112793474933f87175.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In what ways do you think you can step out of your comfort zone?</itunes:subtitle>
      <itunes:summary>In what ways do you think you can step out of your comfort zone?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/114</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In what ways do you think you can step out of your comfort zone?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/114">www.superdatascience.com/114</a></p>]]>
      </content:encoded>
      <itunes:duration>370</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/370019822]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2846961969.mp3?updated=1721208620" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>113: How Constant Learning Created a Jet-Set Career</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Senior Manager of Analytics at Kraft Heinz, Michael Colella. You will hear about taking the time out to understand yourself and your passion, know how to make use of open-source learning and learn about supply chain and logistics consultancy.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/113</description>
      <pubDate>Wed, 13 Dec 2017 23:01:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0a094ee4-1c34-11ef-9765-d72d50024781/image/5874333c6a8f3cad06829f87a6f36a0a.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Senior Manager of Analytics at Kraft Heinz, Michael Colella. You will hear about taking the time out to understand yourself and your passion, know how to make use of open-source learning and learn about supply chain and logistics consultancy.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Senior Manager of Analytics at Kraft Heinz, Michael Colella. You will hear about taking the time out to understand yourself and your passion, know how to make use of open-source learning and learn about supply chain and logistics consultancy.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/113</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Senior Manager of Analytics at Kraft Heinz, Michael Colella. You will hear about taking the time out to understand yourself and your passion, know how to make use of open-source learning and learn about supply chain and logistics consultancy.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/113">www.superdatascience.com/113</a></p>]]>
      </content:encoded>
      <itunes:duration>3774</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/369183254]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9392331163.mp3?updated=1721208567" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>112: How to Win Friends &amp; Influence People</title>
      <description>Think of someone around you whom you can give honest and sincere appreciation this weekend.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/112</description>
      <pubDate>Fri, 08 Dec 2017 16:16:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0a7e14ae-1c34-11ef-9765-177cbf214c52/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Think of someone around you whom you can give honest and sincere appreciation this weekend.</itunes:subtitle>
      <itunes:summary>Think of someone around you whom you can give honest and sincere appreciation this weekend.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/112</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Think of someone around you whom you can give honest and sincere appreciation this weekend.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/112">www.superdatascience.com/112</a></p>]]>
      </content:encoded>
      <itunes:duration>452</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/366756071]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8866342884.mp3?updated=1721208548" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>111: The Power of Soft Skills in Data Science</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Senior Data Scientist at LinkedIn Learning, Eric Weber. You will learn how soft skills can make you a rock star data scientist, hear about Data Science at LinkedIn learning, and learn how to help businesses justify their investment in data science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/111</description>
      <pubDate>Wed, 06 Dec 2017 23:04:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0af9498a-1c34-11ef-9765-1bee9ff4cb1a/image/dedd991131e8fae52364d09c36316050.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Senior Data Scientist at LinkedIn Learning, Eric Weber. You will learn how soft skills can make you a rock star data scientist, hear about Data Science at LinkedIn learning, and learn how to help businesses justify their investment in data science.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Senior Data Scientist at LinkedIn Learning, Eric Weber. You will learn how soft skills can make you a rock star data scientist, hear about Data Science at LinkedIn learning, and learn how to help businesses justify their investment in data science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/111</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Senior Data Scientist at LinkedIn Learning, Eric Weber. You will learn how soft skills can make you a rock star data scientist, hear about Data Science at LinkedIn learning, and learn how to help businesses justify their investment in data science.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/111">www.superdatascience.com/111</a></p>]]>
      </content:encoded>
      <itunes:duration>4184</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/365989733]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5875744409.mp3?updated=1721208527" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>110: AlphaGo Zero</title>
      <description>How do you think the progression of artificial intelligence will affect your career plans and the projects you are working on?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/110</description>
      <pubDate>Sat, 02 Dec 2017 00:51:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0b6f5fd0-1c34-11ef-9765-57f6570d418d/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How do you think the progression of artificial intelligence will affect your career plans and the projects you are working on?</itunes:subtitle>
      <itunes:summary>How do you think the progression of artificial intelligence will affect your career plans and the projects you are working on?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/110</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How do you think the progression of artificial intelligence will affect your career plans and the projects you are working on?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/110">www.superdatascience.com/110</a></p>]]>
      </content:encoded>
      <itunes:duration>1043</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/363750677]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8018228472.mp3?updated=1721208463" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>109: Business Consultancy in the Space of Data Science</title>
      <description>In this episode of the SuperDataScience Podcast, we will listen to the CEO and Founder of Business Science LLC, Matt Dancho. You will hear about combining data science with business and finance, learn why data science consultancies are in demand, and learn about the open-source software developed by Business Science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/109</description>
      <pubDate>Wed, 29 Nov 2017 23:04:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0be957f4-1c34-11ef-9765-07a76d498184/image/85a448e1089913e2774c16cfd6519d5b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, we will listen to the CEO and Founder of Business Science LLC, Matt Dancho. You will hear about combining data science with business and finance, learn why data science consultancies are in demand, and learn about the open-source software developed by Business Science.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, we will listen to the CEO and Founder of Business Science LLC, Matt Dancho. You will hear about combining data science with business and finance, learn why data science consultancies are in demand, and learn about the open-source software developed by Business Science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/109</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, we will listen to the CEO and Founder of Business Science LLC, Matt Dancho. You will hear about combining data science with business and finance, learn why data science consultancies are in demand, and learn about the open-source software developed by Business Science.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/109">www.superdatascience.com/109</a></p>]]>
      </content:encoded>
      <itunes:duration>3787</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/362713265]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2287319225.mp3?updated=1721208445" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>108: Working Remotely</title>
      <description>What other field of work can you share with us that allows working remotely?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/108</description>
      <pubDate>Fri, 24 Nov 2017 16:49:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0c63f536-1c34-11ef-9765-cb3159fda376/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What other field of work can you share with us that allows working remotely?</itunes:subtitle>
      <itunes:summary>What other field of work can you share with us that allows working remotely?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/108</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What other field of work can you share with us that allows working remotely?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/108">www.superdatascience.com/108</a></p>]]>
      </content:encoded>
      <itunes:duration>737</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/360368153]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6369393594.mp3?updated=1721208407" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>107: Charting a Career in Energy Analytics</title>
      <description>In this episode of the SuperDataScience Podcast, we will listen to the Data Scientist at Utopus Insights, Gabor Solymosi. You will hear about survival analytics, you will learn how to find the freedom to work remotely, and also, you will get to know more about Text analytics.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/107</description>
      <pubDate>Wed, 22 Nov 2017 23:06:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0cd97644-1c34-11ef-9765-131e74720fb3/image/7cd54d711381e8ab3c253965b1acab4c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, we will listen to the Data Scientist at Utopus Insights, Gabor Solymosi. You will hear about survival analytics, you will learn how to find the freedom to work remotely, and also, you will get to know more about Text analytics.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, we will listen to the Data Scientist at Utopus Insights, Gabor Solymosi. You will hear about survival analytics, you will learn how to find the freedom to work remotely, and also, you will get to know more about Text analytics.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/107</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, we will listen to the Data Scientist at Utopus Insights, Gabor Solymosi. You will hear about survival analytics, you will learn how to find the freedom to work remotely, and also, you will get to know more about Text analytics.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/107">www.superdatascience.com/107</a></p>]]>
      </content:encoded>
      <itunes:duration>3691</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/359622452]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5794362283.mp3?updated=1721208384" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>106: Recap of our DataScienceGO 2017 Conference</title>
      <description>Do you want to get a memory of this event and access all the sessions of the speakers?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/106</description>
      <pubDate>Fri, 17 Nov 2017 18:13:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0d52aa46-1c34-11ef-9765-53df34cbc7c3/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Do you want to get a memory of this event and access all the sessions of the speakers?</itunes:subtitle>
      <itunes:summary>Do you want to get a memory of this event and access all the sessions of the speakers?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/106</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Do you want to get a memory of this event and access all the sessions of the speakers?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/106">www.superdatascience.com/106</a></p>]]>
      </content:encoded>
      <itunes:duration>487</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/357206027]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2494731580.mp3?updated=1721208354" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>105: DataScienceGO’s Discussion Panel on Careers</title>
      <description>In this episode of the SuperDataScience Podcast, we will listen to the Panel Discussion during the DataScienceGO 2017 event in San Diego California, last November 11-12. You will hear one of the insightful sessions that we had during the event - the Panel Discussion, together with our 3 guests - Ben Taylor, Urie Suhr and Hadelin de Ponteves. It was conducted during the second day of the event where everyone was able to submit their questions through Twitter using a special hashtag.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/105</description>
      <pubDate>Wed, 15 Nov 2017 23:19:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0dc711ba-1c34-11ef-9765-eb3a1e322a2d/image/b56dde4f6fda5542ab8ee83d4b6d63e2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, we will listen to the Panel Discussion during the DataScienceGO 2017 event in San Diego California, last November 11-12. You will hear one of the insightful sessions that we had during the event - the Panel Discussion, together with our 3 guests - Ben Taylor, Urie Suhr and Hadelin de Ponteves. It was conducted during the second day of the event where everyone was able to submit their questions through Twitter using a special hashtag.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, we will listen to the Panel Discussion during the DataScienceGO 2017 event in San Diego California, last November 11-12. You will hear one of the insightful sessions that we had during the event - the Panel Discussion, together with our 3 guests - Ben Taylor, Urie Suhr and Hadelin de Ponteves. It was conducted during the second day of the event where everyone was able to submit their questions through Twitter using a special hashtag.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/105</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, we will listen to the Panel Discussion during the DataScienceGO 2017 event in San Diego California, last November 11-12. You will hear one of the insightful sessions that we had during the event - the Panel Discussion, together with our 3 guests - Ben Taylor, Urie Suhr and Hadelin de Ponteves. It was conducted during the second day of the event where everyone was able to submit their questions through Twitter using a special hashtag.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/105">www.superdatascience.com/105</a></p>]]>
      </content:encoded>
      <itunes:duration>3225</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/356368637]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4873254797.mp3?updated=1721208329" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>104: Board Games</title>
      <description>What board game will you choose to get for yourself or as a present for someone else?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/104</description>
      <pubDate>Fri, 10 Nov 2017 19:44:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0e63c03c-1c34-11ef-9765-235ab0ec51a9/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What board game will you choose to get for yourself or as a present for someone else?</itunes:subtitle>
      <itunes:summary>What board game will you choose to get for yourself or as a present for someone else?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/104</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What board game will you choose to get for yourself or as a present for someone else?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/104">www.superdatascience.com/104</a></p>]]>
      </content:encoded>
      <itunes:duration>462</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/353940743]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7381715244.mp3?updated=1721208305" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>103: Why this Is the Golden Age of Data Science &amp; How to Get In</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Data Science Freelance Consultant, Emanuele Carbone. You will hear about creating a massive value with Tableau and Excel, learn how to get established as a data science consultant and learn how Emanuele went from novice to pro in just one year.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/103</description>
      <pubDate>Wed, 08 Nov 2017 23:01:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0ed8ca58-1c34-11ef-9765-a3a5656285ae/image/34b50bb6caa7e1bfaac1a45668dc0cff.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Data Science Freelance Consultant, Emanuele Carbone. You will hear about creating a massive value with Tableau and Excel, learn how to get established as a data science consultant and learn how Emanuele went from novice to pro in just one year.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Data Science Freelance Consultant, Emanuele Carbone. You will hear about creating a massive value with Tableau and Excel, learn how to get established as a data science consultant and learn how Emanuele went from novice to pro in just one year.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/103</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Data Science Freelance Consultant, Emanuele Carbone. You will hear about creating a massive value with Tableau and Excel, learn how to get established as a data science consultant and learn how Emanuele went from novice to pro in just one year.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/103">www.superdatascience.com/103</a></p>]]>
      </content:encoded>
      <itunes:duration>3130</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/353073368]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9660900540.mp3?updated=1721208253" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>102: Intuition vs Mathematics in Data Science</title>
      <description>Do you know somebody apprehensive about getting into data science because they think it's too complex?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/102</description>
      <pubDate>Fri, 03 Nov 2017 20:49:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0f4fb910-1c34-11ef-9765-e390c43e5976/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Do you know somebody apprehensive about getting into data science because they think it's too complex?</itunes:subtitle>
      <itunes:summary>Do you know somebody apprehensive about getting into data science because they think it's too complex?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/102</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Do you know somebody apprehensive about getting into data science because they think it's too complex?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/102">www.superdatascience.com/102</a></p>]]>
      </content:encoded>
      <itunes:duration>483</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/350789977]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2763788971.mp3?updated=1721208230" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>101: What a Data Science Headhunter is Looking For</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Director of Talent Acquisition at Collective[i], Urie Suhr. You will hear about a headhunter's perspective on finding and recruiting talent, learn how to connect with the right people at the right time, and when your years of experience do not match a job description.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/101</description>
      <pubDate>Wed, 01 Nov 2017 22:58:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0fc53c1c-1c34-11ef-9765-47e6dd92c1bb/image/92225c877de41dd7729fc193d134de46.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Director of Talent Acquisition at Collective[i], Urie Suhr. You will hear about a headhunter's perspective on finding and recruiting talent, learn how to connect with the right people at the right time, and when your years of experience do not match a job description.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Director of Talent Acquisition at Collective[i], Urie Suhr. You will hear about a headhunter's perspective on finding and recruiting talent, learn how to connect with the right people at the right time, and when your years of experience do not match a job description.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/101</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Director of Talent Acquisition at Collective[i], Urie Suhr. You will hear about a headhunter's perspective on finding and recruiting talent, learn how to connect with the right people at the right time, and when your years of experience do not match a job description.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/101">www.superdatascience.com/101</a></p>]]>
      </content:encoded>
      <itunes:duration>3824</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/349886539]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5383381008.mp3?updated=1721208211" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>100: 100 Episodes</title>
      <description>We've now reached our 100th episode...It's a celebration! How does this podcast change your life and how does it impact you?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/100</description>
      <pubDate>Fri, 27 Oct 2017 17:42:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/103b2954-1c34-11ef-9765-2f57866c1752/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>We've now reached our 100th episode...It's a celebration! How does this podcast change your life and how does it impact you?</itunes:subtitle>
      <itunes:summary>We've now reached our 100th episode...It's a celebration! How does this podcast change your life and how does it impact you?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/100</itunes:summary>
      <content:encoded>
        <![CDATA[<p>We've now reached our 100th episode...It's a celebration! How does this podcast change your life and how does it impact you?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/100">www.superdatascience.com/100</a></p>]]>
      </content:encoded>
      <itunes:duration>680</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/348883922]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4210977606.mp3?updated=1720702428" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>099: How a Software Developer Re-Focused his life to Learn Artificial Intelligence</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with AI Learner, Tuatini Godard. You will get to explore the world of Deep Learning and AI, you will learn the role of games in AI development, and about the appropriate hardware for Deep Learning.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/99</description>
      <pubDate>Wed, 25 Oct 2017 22:58:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/10b64f44-1c34-11ef-9765-77bd88f8b57d/image/190112c26a10fd220261258ec674e7c6.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with AI Learner, Tuatini Godard. You will get to explore the world of Deep Learning and AI, you will learn the role of games in AI development, and about the appropriate hardware for Deep Learning.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with AI Learner, Tuatini Godard. You will get to explore the world of Deep Learning and AI, you will learn the role of games in AI development, and about the appropriate hardware for Deep Learning.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/99</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with AI Learner, Tuatini Godard. You will get to explore the world of Deep Learning and AI, you will learn the role of games in AI development, and about the appropriate hardware for Deep Learning.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/99">www.superdatascience.com/99</a></p>]]>
      </content:encoded>
      <itunes:duration>3920</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/348602088]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1714338288.mp3?updated=1720702397" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>098: Willpower</title>
      <description>How do you think you may be able to focus on training up your willpower to achieve your goals?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/98</description>
      <pubDate>Fri, 20 Oct 2017 18:38:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/112e0ea8-1c34-11ef-9765-671699d84f5a/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How do you think you may be able to focus on training up your willpower to achieve your goals?</itunes:subtitle>
      <itunes:summary>How do you think you may be able to focus on training up your willpower to achieve your goals?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/98</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How do you think you may be able to focus on training up your willpower to achieve your goals?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/98">www.superdatascience.com/98</a></p>]]>
      </content:encoded>
      <itunes:duration>360</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/347819316]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4530119844.mp3?updated=1720702366" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>097: Leveraging Data Science Techniques into E-Commerce &amp; Other Fields</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Digital eCommerce specialist, Nick Pape. You will hear about eCommerce, CMS/Customer Management System &amp; Geodemographic Segmentation. You will also get some interesting insights into the purchasing habits of people, and you will also hear what's actually going on with eCommerce and what customers are going through in this process.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/97</description>
      <pubDate>Wed, 18 Oct 2017 22:43:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/11afa260-1c34-11ef-9765-ff60aebfb8f6/image/0044037c56c02e0b738ec47e95b97e56.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Digital eCommerce specialist, Nick Pape. You will hear about eCommerce, CMS/Customer Management System &amp; Geodemographic Segmentation. You will also get some interesting insights into the purchasing habits of people, and you will also hear what's actually going on with eCommerce and what customers are going through in this process.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Digital eCommerce specialist, Nick Pape. You will hear about eCommerce, CMS/Customer Management System &amp; Geodemographic Segmentation. You will also get some interesting insights into the purchasing habits of people, and you will also hear what's actually going on with eCommerce and what customers are going through in this process.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/97</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Digital eCommerce specialist, Nick Pape. You will hear about eCommerce, CMS/Customer Management System &amp; Geodemographic Segmentation. You will also get some interesting insights into the purchasing habits of people, and you will also hear what's actually going on with eCommerce and what customers are going through in this process.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/97">www.superdatascience.com/97</a></p>]]>
      </content:encoded>
      <itunes:duration>3960</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/347537990]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9732453395.mp3?updated=1720702340" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>096: Bayes Theorem</title>
      <description>What situation in your daily life do you think is another example of Bayes Theorem?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/96</description>
      <pubDate>Fri, 13 Oct 2017 21:18:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/122c3cbc-1c34-11ef-9765-dba6c815aba2/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What situation in your daily life do you think is another example of Bayes Theorem?</itunes:subtitle>
      <itunes:summary>What situation in your daily life do you think is another example of Bayes Theorem?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/96</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What situation in your daily life do you think is another example of Bayes Theorem?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/96">www.superdatascience.com/96</a></p>]]>
      </content:encoded>
      <itunes:duration>621</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/346780926]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6196413045.mp3?updated=1720702316" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>095: From Uber to Data Science – A Winner’s Journey</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Regional Operations Manager at Uber, Josh Kennedy. You will hear what it's like to work at Uber, you will learn about the importance of job satisfaction and quality of life, and you will also hear about the role of ideas vs. execution.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/95</description>
      <pubDate>Wed, 11 Oct 2017 22:51:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/12a1f844-1c34-11ef-9765-035bfdbd1a2c/image/e541c355d062e9c0048ca8880979e8d8.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Regional Operations Manager at Uber, Josh Kennedy. You will hear what it's like to work at Uber, you will learn about the importance of job satisfaction and quality of life, and you will also hear about the role of ideas vs. execution.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Regional Operations Manager at Uber, Josh Kennedy. You will hear what it's like to work at Uber, you will learn about the importance of job satisfaction and quality of life, and you will also hear about the role of ideas vs. execution.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/95</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Regional Operations Manager at Uber, Josh Kennedy. You will hear what it's like to work at Uber, you will learn about the importance of job satisfaction and quality of life, and you will also hear about the role of ideas vs. execution.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/95">www.superdatascience.com/95</a></p>]]>
      </content:encoded>
      <itunes:duration>2687</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/346474895]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5788240771.mp3?updated=1720702230" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>094: The Power of Now</title>
      <description>How does my two experiments made you see if you can experience stopping your mind?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/94</description>
      <pubDate>Fri, 06 Oct 2017 18:26:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1319707c-1c34-11ef-9765-c7fbf979d843/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How does my two experiments made you see if you can experience stopping your mind?</itunes:subtitle>
      <itunes:summary>How does my two experiments made you see if you can experience stopping your mind?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/94</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How does my two experiments made you see if you can experience stopping your mind?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/94">www.superdatascience.com/94</a></p>]]>
      </content:encoded>
      <itunes:duration>886</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/345665300]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1839646603.mp3?updated=1720702210" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>093: Why Evolutionary Programming Machine Learning is Important</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Data Scientist at Liquid Biosciences, Beau Walker. You will get a deeper understanding of Evolutionary Programming-Based Machine Learning, you will learn about patents and trade secrets, and hear how Beau went through all his different careers &amp; what choices he made down his career path.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/93</description>
      <pubDate>Wed, 04 Oct 2017 22:49:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/138e3d94-1c34-11ef-9765-532df001c287/image/2c1e6ad61a62f193056b1790cec4fc65.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Data Scientist at Liquid Biosciences, Beau Walker. You will get a deeper understanding of Evolutionary Programming-Based Machine Learning, you will learn about patents and trade secrets, and hear how Beau went through all his different careers &amp; what choices he made down his career path.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Data Scientist at Liquid Biosciences, Beau Walker. You will get a deeper understanding of Evolutionary Programming-Based Machine Learning, you will learn about patents and trade secrets, and hear how Beau went through all his different careers &amp; what choices he made down his career path.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/93</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Data Scientist at Liquid Biosciences, Beau Walker. You will get a deeper understanding of Evolutionary Programming-Based Machine Learning, you will learn about patents and trade secrets, and hear how Beau went through all his different careers &amp; what choices he made down his career path.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/93">www.superdatascience.com/93</a></p>]]>
      </content:encoded>
      <itunes:duration>3183</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/345398724]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4376591029.mp3?updated=1720702190" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>092: Exponential Thinking</title>
      <description>What exponential trends would you like to recognize and leverage for yourself?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/92</description>
      <pubDate>Fri, 29 Sep 2017 17:18:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/14075ae4-1c34-11ef-9765-039ab86e4e22/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What exponential trends would you like to recognize and leverage for yourself?</itunes:subtitle>
      <itunes:summary>What exponential trends would you like to recognize and leverage for yourself?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/92</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What exponential trends would you like to recognize and leverage for yourself?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/92">www.superdatascience.com/92</a></p>]]>
      </content:encoded>
      <itunes:duration>858</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/344600341]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1055552659.mp3?updated=1720702171" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>091: Lessons From a Successful Career in Data Visualization</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Head Coach at The Information Lab, Andy Kriebel. You will learn how to maintain a Data Viz Blog, how to be a Tableau Zen Master and hear about how discovering Tableau at Coca-Cola changed Andy's career trajectory.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/91</description>
      <pubDate>Wed, 27 Sep 2017 23:05:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/148321ba-1c34-11ef-9765-a732ec0300e9/image/cb376ec1d192b4956dd9baab80f0975c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Head Coach at The Information Lab, Andy Kriebel. You will learn how to maintain a Data Viz Blog, how to be a Tableau Zen Master and hear about how discovering Tableau at Coca-Cola changed Andy's career trajectory.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Head Coach at The Information Lab, Andy Kriebel. You will learn how to maintain a Data Viz Blog, how to be a Tableau Zen Master and hear about how discovering Tableau at Coca-Cola changed Andy's career trajectory.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/91</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Head Coach at The Information Lab, Andy Kriebel. You will learn how to maintain a Data Viz Blog, how to be a Tableau Zen Master and hear about how discovering Tableau at Coca-Cola changed Andy's career trajectory.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/91">www.superdatascience.com/91</a></p>]]>
      </content:encoded>
      <itunes:duration>3323</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/344339568]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4027638152.mp3?updated=1720702151" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>090: Do What You Want</title>
      <description>What are those things that you do because you want to do them and what are those that you do just for anything else?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/90</description>
      <pubDate>Fri, 22 Sep 2017 17:02:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/14f7c772-1c34-11ef-9765-cb30cad1ea4b/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What are those things that you do because you want to do them and what are those that you do just for anything else?</itunes:subtitle>
      <itunes:summary>What are those things that you do because you want to do them and what are those that you do just for anything else?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/90</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What are those things that you do because you want to do them and what are those that you do just for anything else?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/90">www.superdatascience.com/90</a></p>]]>
      </content:encoded>
      <itunes:duration>1227</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>089: Using Excel in Data Science and Life-Long Learning</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Best Selling Data Science Instructor, Chris Dutton. You will learn about Excel's role in Data Science, get more insights about choosing what to learn in Data Science, and the modeling luck in a baseball hitter's batting average.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/89</description>
      <pubDate>Wed, 20 Sep 2017 22:55:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/159ac346-1c34-11ef-9765-97028b9d9986/image/3c7eb59ee772f1b4585f560642ee4d5f.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Best Selling Data Science Instructor, Chris Dutton. You will learn about Excel's role in Data Science, get more insights about choosing what to learn in Data Science, and the modeling luck in a baseball hitter's batting average.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Best Selling Data Science Instructor, Chris Dutton. You will learn about Excel's role in Data Science, get more insights about choosing what to learn in Data Science, and the modeling luck in a baseball hitter's batting average.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/89</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Best Selling Data Science Instructor, Chris Dutton. You will learn about Excel's role in Data Science, get more insights about choosing what to learn in Data Science, and the modeling luck in a baseball hitter's batting average.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/89">www.superdatascience.com/89</a></p>]]>
      </content:encoded>
      <itunes:duration>3577</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>088: Fermi Questions</title>
      <description>Have you ever encountered being asked with Fermi Questions? What was your strategy in getting through the logic then?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/88</description>
      <pubDate>Fri, 15 Sep 2017 17:02:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/161d01bc-1c34-11ef-9765-230117fd1eff/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Have you ever encountered being asked with Fermi Questions? What was your strategy in getting through the logic then?</itunes:subtitle>
      <itunes:summary>Have you ever encountered being asked with Fermi Questions? What was your strategy in getting through the logic then?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/88</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Have you ever encountered being asked with Fermi Questions? What was your strategy in getting through the logic then?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/88">www.superdatascience.com/88</a></p>]]>
      </content:encoded>
      <itunes:duration>571</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/342511234]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9886713351.mp3?updated=1720702042" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>087: Business Intelligence – The Role of Data Visualization</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Tableau and Qlik Intrapreneur, Deepak Prasad. You will hear about Business Intelligence, particularly in business decision-making through data insights, learn about dashboard design best practices, and answering questions through interactive dashboards.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/87</description>
      <pubDate>Wed, 13 Sep 2017 22:55:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/16900856-1c34-11ef-9765-8f09cd7c1367/image/d39032a56d08936dc723c1f9c017c881.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Tableau and Qlik Intrapreneur, Deepak Prasad. You will hear about Business Intelligence, particularly in business decision-making through data insights, learn about dashboard design best practices, and answering questions through interactive dashboards.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Tableau and Qlik Intrapreneur, Deepak Prasad. You will hear about Business Intelligence, particularly in business decision-making through data insights, learn about dashboard design best practices, and answering questions through interactive dashboards.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/87</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Tableau and Qlik Intrapreneur, Deepak Prasad. You will hear about Business Intelligence, particularly in business decision-making through data insights, learn about dashboard design best practices, and answering questions through interactive dashboards.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/87">www.superdatascience.com/87</a></p>]]>
      </content:encoded>
      <itunes:duration>3485</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/342248457]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6286204172.mp3?updated=1720701994" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>086: Computer Vision</title>
      <description>What makes you excited about the impact of computer vision?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/86</description>
      <pubDate>Fri, 08 Sep 2017 18:37:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/170929fc-1c34-11ef-9765-6f6431dc5d6d/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What makes you excited about the impact of computer vision?</itunes:subtitle>
      <itunes:summary>What makes you excited about the impact of computer vision?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/86</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What makes you excited about the impact of computer vision?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/86">www.superdatascience.com/86</a></p>]]>
      </content:encoded>
      <itunes:duration>578</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/341509066]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2825966273.mp3?updated=1720701970" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>085: The AI Revolution – What the Future Will Look Like</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Chief Data Officer at Ziff, Ben Taylor. You will hear about the future of AI &amp; what the world could look like in future, learn about the different approaches to Deep Learning revolution, and also get to know the consequences of the oncoming AI developments.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/85</description>
      <pubDate>Wed, 06 Sep 2017 23:03:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/178df01a-1c34-11ef-9765-173646859716/image/ada8dd9610467348644da49c24dc757b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Chief Data Officer at Ziff, Ben Taylor. You will hear about the future of AI &amp; what the world could look like in future, learn about the different approaches to Deep Learning revolution, and also get to know the consequences of the oncoming AI developments.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Chief Data Officer at Ziff, Ben Taylor. You will hear about the future of AI &amp; what the world could look like in future, learn about the different approaches to Deep Learning revolution, and also get to know the consequences of the oncoming AI developments.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/85</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Chief Data Officer at Ziff, Ben Taylor. You will hear about the future of AI &amp; what the world could look like in future, learn about the different approaches to Deep Learning revolution, and also get to know the consequences of the oncoming AI developments.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/85">www.superdatascience.com/85</a></p>]]>
      </content:encoded>
      <itunes:duration>4116</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/341233132]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1837184699.mp3?updated=1720701951" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>084: Why I Became Vegetarian</title>
      <description>What do you think are the other essential reasons why some people choose to be vegetarian?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/84</description>
      <pubDate>Fri, 01 Sep 2017 17:16:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/182d9778-1c34-11ef-9765-17dce7ddff52/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What do you think are the other essential reasons why some people choose to be vegetarian?</itunes:subtitle>
      <itunes:summary>What do you think are the other essential reasons why some people choose to be vegetarian?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/84</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What do you think are the other essential reasons why some people choose to be vegetarian?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/84">www.superdatascience.com/84</a></p>]]>
      </content:encoded>
      <itunes:duration>728</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/340481718]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4137115493.mp3?updated=1720701931" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>083: Leveraging Your Experience into Data Science</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Head of Centre of Excellence and Customer Advocacy at The Information Lab, Emma Whyte. You will hear what a data-driven corporate culture looks like, understand the importance of having a data-driven culture and how to win stakeholders over, you will also learn about how Emma transitioned from a non-technical background to the world of Data Science, and how she is helping businesses now to make strategic data-driven decisions.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/83</description>
      <pubDate>Wed, 30 Aug 2017 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/18a8407c-1c34-11ef-9765-ef59b6c596c5/image/21ecf895e80b97fcddf48575c2ccc463.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Head of Centre of Excellence and Customer Advocacy at The Information Lab, Emma Whyte. You will hear what a data-driven corporate culture looks like, understand the importance of having a data-driven culture and how to win stakeholders over, you will also learn about how Emma transitioned from a non-technical background to the world of Data Science, and how she is helping businesses now to make strategic data-driven decisions.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Head of Centre of Excellence and Customer Advocacy at The Information Lab, Emma Whyte. You will hear what a data-driven corporate culture looks like, understand the importance of having a data-driven culture and how to win stakeholders over, you will also learn about how Emma transitioned from a non-technical background to the world of Data Science, and how she is helping businesses now to make strategic data-driven decisions.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/83</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Head of Centre of Excellence and Customer Advocacy at The Information Lab, Emma Whyte. You will hear what a data-driven corporate culture looks like, understand the importance of having a data-driven culture and how to win stakeholders over, you will also learn about how Emma transitioned from a non-technical background to the world of Data Science, and how she is helping businesses now to make strategic data-driven decisions.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/83">www.superdatascience.com/83</a></p>]]>
      </content:encoded>
      <itunes:duration>3070</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/340217024]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8821469605.mp3?updated=1720701838" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>082: Data Science Go</title>
      <description>How do you think you can benefit from attending Data Science Go?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/82</description>
      <pubDate>Fri, 25 Aug 2017 16:46:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/191ae3f2-1c34-11ef-9765-97a0b698c993/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How do you think you can benefit from attending Data Science Go?</itunes:subtitle>
      <itunes:summary>How do you think you can benefit from attending Data Science Go?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/82</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How do you think you can benefit from attending Data Science Go?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/82">www.superdatascience.com/82</a></p>]]>
      </content:encoded>
      <itunes:duration>260</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/339472717]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9730175038.mp3?updated=1720701861" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>081: Data Visualization &amp; How to Freelance Your Passion</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Data Visualisation Designer, Nadieh Bremer. You will hear about the relationship between algorithm and visualization, learn the top data visualization tips, and ways of creating presentable visualizations and how to present them.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/81</description>
      <pubDate>Wed, 23 Aug 2017 23:22:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/19947550-1c34-11ef-9765-ef4d216192ec/image/af7255e1d5e19b4e08c4a374aaeee5ed.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Data Visualisation Designer, Nadieh Bremer. You will hear about the relationship between algorithm and visualization, learn the top data visualization tips, and ways of creating presentable visualizations and how to present them.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Data Visualisation Designer, Nadieh Bremer. You will hear about the relationship between algorithm and visualization, learn the top data visualization tips, and ways of creating presentable visualizations and how to present them.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/81</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Data Visualisation Designer, Nadieh Bremer. You will hear about the relationship between algorithm and visualization, learn the top data visualization tips, and ways of creating presentable visualizations and how to present them.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/81">www.superdatascience.com/81</a></p>]]>
      </content:encoded>
      <itunes:duration>3617</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/339219492]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8875014752.mp3?updated=1720701881" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>080: Your Questions</title>
      <description>What is one question you would really like to ask a podcast guest?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/80</description>
      <pubDate>Sat, 19 Aug 2017 07:41:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1a1409e6-1c34-11ef-9765-a7deb65790ac/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What is one question you would really like to ask a podcast guest?</itunes:subtitle>
      <itunes:summary>What is one question you would really like to ask a podcast guest?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/80</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What is one question you would really like to ask a podcast guest?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/80">www.superdatascience.com/80</a></p>]]>
      </content:encoded>
      <itunes:duration>278</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/338537341]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1475893395.mp3?updated=1720701790" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>079: Reinforcement Learning - What You Need to Know</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Associate Professor of Reinforcement Learning, Ravindran Balaraman. You will listen to an overview of Reinforcement Learning, learn about Prescriptive Analytics and some examples of Reinforcement Learning Applications, and you will also hear how to get started in Reinforcement Learning.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/79</description>
      <pubDate>Wed, 16 Aug 2017 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1a8f905c-1c34-11ef-9765-07e1d0c8fbaa/image/3752095b1cccc64369d9b005b640fc49.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Associate Professor of Reinforcement Learning, Ravindran Balaraman. You will listen to an overview of Reinforcement Learning, learn about Prescriptive Analytics and some examples of Reinforcement Learning Applications, and you will also hear how to get started in Reinforcement Learning.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Associate Professor of Reinforcement Learning, Ravindran Balaraman. You will listen to an overview of Reinforcement Learning, learn about Prescriptive Analytics and some examples of Reinforcement Learning Applications, and you will also hear how to get started in Reinforcement Learning.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/79</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Associate Professor of Reinforcement Learning, Ravindran Balaraman. You will listen to an overview of Reinforcement Learning, learn about Prescriptive Analytics and some examples of Reinforcement Learning Applications, and you will also hear how to get started in Reinforcement Learning.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/79">www.superdatascience.com/79</a></p>]]>
      </content:encoded>
      <itunes:duration>3370</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/338195055]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3034552866.mp3?updated=1720701770" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>078: Breaking Patterns</title>
      <description>What are the habits in your life that you would like to keep and those that you would like to break?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/78</description>
      <pubDate>Fri, 11 Aug 2017 20:37:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1b0b2d20-1c34-11ef-9765-97fd8f0108a1/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What are the habits in your life that you would like to keep and those that you would like to break?</itunes:subtitle>
      <itunes:summary>What are the habits in your life that you would like to keep and those that you would like to break?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/78</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What are the habits in your life that you would like to keep and those that you would like to break?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/78">www.superdatascience.com/78</a></p>]]>
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      <itunes:duration>452</itunes:duration>
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    </item>
    <item>
      <title>077: Finding the Right Data Science Company That Best Fits You</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Data Science and Analytics Headhunter, Richard Downes. You will learn the different CV practices, know the ways to leverage LinkedIn, and get valuable tips on how to prepare and answer tough interview questions.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/77</description>
      <pubDate>Wed, 09 Aug 2017 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1b847860-1c34-11ef-9765-97ce2b527adb/image/f26d718d5795e9864cff41372a2082ea.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Data Science and Analytics Headhunter, Richard Downes. You will learn the different CV practices, know the ways to leverage LinkedIn, and get valuable tips on how to prepare and answer tough interview questions.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Data Science and Analytics Headhunter, Richard Downes. You will learn the different CV practices, know the ways to leverage LinkedIn, and get valuable tips on how to prepare and answer tough interview questions.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/77</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Data Science and Analytics Headhunter, Richard Downes. You will learn the different CV practices, know the ways to leverage LinkedIn, and get valuable tips on how to prepare and answer tough interview questions.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/77">www.superdatascience.com/77</a></p>]]>
      </content:encoded>
      <itunes:duration>3998</itunes:duration>
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    </item>
    <item>
      <title>076: Do It For Yourself</title>
      <description>How do the outcomes differ between doing big actions or challenging things for yourself, and doing these for other reasons?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/76</description>
      <pubDate>Fri, 04 Aug 2017 15:31:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1c0595f8-1c34-11ef-9765-ebf8ecf363d8/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How do the outcomes differ between doing big actions or challenging things for yourself, and doing these for other reasons?</itunes:subtitle>
      <itunes:summary>How do the outcomes differ between doing big actions or challenging things for yourself, and doing these for other reasons?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/76</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How do the outcomes differ between doing big actions or challenging things for yourself, and doing these for other reasons?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/76">www.superdatascience.com/76</a></p>]]>
      </content:encoded>
      <itunes:duration>451</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/336255012]]></guid>
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    </item>
    <item>
      <title>075: How to Re-Focus Your Career &amp; Become an Entry Level Data Scientist</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Data Visualisation Consultant at The Information Lab, Rachel Phang. You will get to explore the data school at The Information Lab, you will know the importance of diverse backgrounds for Data Scientists, and you will be able to learn ways how to improve your data visualization skills.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/75</description>
      <pubDate>Wed, 02 Aug 2017 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1ca6eaf2-1c34-11ef-9765-8752c0aa6e85/image/3a4ba2cfe304efcd17ea0f89add50cac.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Data Visualisation Consultant at The Information Lab, Rachel Phang. You will get to explore the data school at The Information Lab, you will know the importance of diverse backgrounds for Data Scientists, and you will be able to learn ways how to improve your data visualization skills.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Data Visualisation Consultant at The Information Lab, Rachel Phang. You will get to explore the data school at The Information Lab, you will know the importance of diverse backgrounds for Data Scientists, and you will be able to learn ways how to improve your data visualization skills.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/75</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Data Visualisation Consultant at The Information Lab, Rachel Phang. You will get to explore the data school at The Information Lab, you will know the importance of diverse backgrounds for Data Scientists, and you will be able to learn ways how to improve your data visualization skills.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/75">www.superdatascience.com/75</a></p>]]>
      </content:encoded>
      <itunes:duration>3247</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>074: The Five Balls of Life</title>
      <description>How can you relate your work as a rubber ball, and how can you further give importance to those 4 other glass balls?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/74</description>
      <pubDate>Fri, 28 Jul 2017 18:57:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1d24a24e-1c34-11ef-9765-e7ea62956fab/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How can you relate your work as a rubber ball, and how can you further give importance to those 4 other glass balls?</itunes:subtitle>
      <itunes:summary>How can you relate your work as a rubber ball, and how can you further give importance to those 4 other glass balls?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/74</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How can you relate your work as a rubber ball, and how can you further give importance to those 4 other glass balls?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/74">www.superdatascience.com/74</a></p>]]>
      </content:encoded>
      <itunes:duration>298</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>073: How to Stand Out to Recruiters in Data Science</title>
      <description>In this episode of the SuperDataScience Podcast, I chat Founder of Break Into Data Science, Mark Meloon. You will learn how to get into Data Science even without a PhD, take a walk-through of a Data Science interview and learn how to turbo boost your LinkedIn profile.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/73</description>
      <pubDate>Wed, 26 Jul 2017 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1dc1b098-1c34-11ef-9765-5b34259883ee/image/83210005c7e802b23d48b1ceb7f3f88d.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat Founder of Break Into Data Science, Mark Meloon. You will learn how to get into Data Science even without a PhD, take a walk-through of a Data Science interview and learn how to turbo boost your LinkedIn profile.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat Founder of Break Into Data Science, Mark Meloon. You will learn how to get into Data Science even without a PhD, take a walk-through of a Data Science interview and learn how to turbo boost your LinkedIn profile.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/73</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat Founder of Break Into Data Science, Mark Meloon. You will learn how to get into Data Science even without a PhD, take a walk-through of a Data Science interview and learn how to turbo boost your LinkedIn profile.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/73">www.superdatascience.com/73</a></p>]]>
      </content:encoded>
      <itunes:duration>3914</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/334995136]]></guid>
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    </item>
    <item>
      <title>072: Connecting the Dots</title>
      <description>What are some events in your life where you can now see the dots connecting?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/72</description>
      <pubDate>Fri, 21 Jul 2017 17:38:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1e669928-1c34-11ef-9765-9b05d5a88f9d/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What are some events in your life where you can now see the dots connecting?</itunes:subtitle>
      <itunes:summary>What are some events in your life where you can now see the dots connecting?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/72</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What are some events in your life where you can now see the dots connecting?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/72">www.superdatascience.com/72</a></p>]]>
      </content:encoded>
      <itunes:duration>459</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/334203545]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7818366149.mp3?updated=1720701569" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>071: Where the World is Headed to in the Field of Artificial Intelligence</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Data Science Entrepreneur Hadelin de Ponteves. You will learn about teaching AI to play games, get an overview of key values and how they operate, be able to discuss why a career in Artificial Intelligence should be something worth considering, and know what impact Artificial Intelligence can have on making a better world.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/71</description>
      <pubDate>Thu, 20 Jul 2017 00:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1eef2f0e-1c34-11ef-9765-b35713c7c235/image/545ef87617432a2be2462d7514a75aa7.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Data Science Entrepreneur Hadelin de Ponteves. You will learn about teaching AI to play games, get an overview of key values and how they operate, be able to discuss why a career in Artificial Intelligence should be something worth considering, and know what impact Artificial Intelligence can have on making a better world.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Data Science Entrepreneur Hadelin de Ponteves. You will learn about teaching AI to play games, get an overview of key values and how they operate, be able to discuss why a career in Artificial Intelligence should be something worth considering, and know what impact Artificial Intelligence can have on making a better world.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/71</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Data Science Entrepreneur Hadelin de Ponteves. You will learn about teaching AI to play games, get an overview of key values and how they operate, be able to discuss why a career in Artificial Intelligence should be something worth considering, and know what impact Artificial Intelligence can have on making a better world.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/71">www.superdatascience.com/71</a></p>]]>
      </content:encoded>
      <itunes:duration>3001</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>070: The Quant Crunch</title>
      <description>How would a report by IBM on the landscape of the data science industry help with your career planning?

If you enjoyed the show, please take a minute to leave us an iTunes review. Check out show notes, resources, and more at www.superdatascience.com/70</description>
      <pubDate>Fri, 14 Jul 2017 14:34:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1f6b4486-1c34-11ef-9765-c377bdde7b55/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How would a report by IBM on the landscape of the data science industry help with your career planning?</itunes:subtitle>
      <itunes:summary>How would a report by IBM on the landscape of the data science industry help with your career planning?

If you enjoyed the show, please take a minute to leave us an iTunes review. Check out show notes, resources, and more at www.superdatascience.com/70</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How would a report by IBM on the landscape of the data science industry help with your career planning?</p><p><br></p><p>If you enjoyed the show, please take a minute to leave us an iTunes review. Check out show notes, resources, and more at <a href="https://www.superdatascience.com/70">www.superdatascience.com/70</a></p>]]>
      </content:encoded>
      <itunes:duration>495</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>069: Steps on How To Become a Thought Leader in the Field of Data Science</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Data and Analytics Recruiter for FutureYou Executive Recruitment, Caroline McColl. You’ll learn how to build up the courage and not be afraid to ask questions when you most need to, know what the 10 Steps to Thought Leadership are, and finally learn about the value of presentation skills for Data Scientists.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/69</description>
      <pubDate>Wed, 12 Jul 2017 23:12:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1fe485da-1c34-11ef-9765-6bf0e6f69992/image/e641b8f37e3ab84ba52a758ef1824909.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Data and Analytics Recruiter for FutureYou Executive Recruitment, Caroline McColl. You’ll learn how to build up the courage and not be afraid to ask questions when you most need to, know what the 10 Steps to Thought Leadership are, and finally learn about the value of presentation skills for Data Scientists.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Data and Analytics Recruiter for FutureYou Executive Recruitment, Caroline McColl. You’ll learn how to build up the courage and not be afraid to ask questions when you most need to, know what the 10 Steps to Thought Leadership are, and finally learn about the value of presentation skills for Data Scientists.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/69</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Data and Analytics Recruiter for FutureYou Executive Recruitment, Caroline McColl. You’ll learn how to build up the courage and not be afraid to ask questions when you most need to, know what the 10 Steps to Thought Leadership are, and finally learn about the value of presentation skills for Data Scientists.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/69">www.superdatascience.com/69</a></p>]]>
      </content:encoded>
      <itunes:duration>3285</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/332941211]]></guid>
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    </item>
    <item>
      <title>068: Stimulate Your Creativity</title>
      <description>In what ways do you stimulate your creativity?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/68</description>
      <pubDate>Fri, 07 Jul 2017 19:24:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/205836c4-1c34-11ef-9765-ffd1211b3e2f/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In what ways do you stimulate your creativity?</itunes:subtitle>
      <itunes:summary>In what ways do you stimulate your creativity?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/68</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In what ways do you stimulate your creativity?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/68">www.superdatascience.com/68</a></p>]]>
      </content:encoded>
      <itunes:duration>375</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>067: Latest Developments in the Field of AI and How it is Changing the World</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Vice President of Research at Sentient AI, Risto Miikkulainen. You will hear about the applications of AI across multiple fields, learn about the 2 types of AI - the Evolutionary Algorithms and Reinforcement Learning Algorithms, and also get valuable insights on how AI is changing the employment landscape.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/67</description>
      <pubDate>Thu, 06 Jul 2017 01:37:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/20cfecfa-1c34-11ef-9765-33768a41dc59/image/75e0ae925000b8388b2c9535dbbc58c9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Vice President of Research at Sentient AI, Risto Miikkulainen. You will hear about the applications of AI across multiple fields, learn about the 2 types of AI - the Evolutionary Algorithms and Reinforcement Learning Algorithms, and also get valuable insights on how AI is changing the employment landscape.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Vice President of Research at Sentient AI, Risto Miikkulainen. You will hear about the applications of AI across multiple fields, learn about the 2 types of AI - the Evolutionary Algorithms and Reinforcement Learning Algorithms, and also get valuable insights on how AI is changing the employment landscape.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/67</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Vice President of Research at Sentient AI, Risto Miikkulainen. You will hear about the applications of AI across multiple fields, learn about the 2 types of AI - the Evolutionary Algorithms and Reinforcement Learning Algorithms, and also get valuable insights on how AI is changing the employment landscape.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/67">www.superdatascience.com/67</a></p>]]>
      </content:encoded>
      <itunes:duration>2337</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/331780263]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5652057639.mp3?updated=1720701350" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>066: The Best Ideas</title>
      <description>In what situations do you have your best idea?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/66</description>
      <pubDate>Fri, 30 Jun 2017 17:06:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/21438cfa-1c34-11ef-9765-b7f7447bfb0e/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In what situations do you have your best idea?</itunes:subtitle>
      <itunes:summary>In what situations do you have your best idea?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/66</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In what situations do you have your best idea?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/66">www.superdatascience.com/66</a></p>]]>
      </content:encoded>
      <itunes:duration>331</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/330948378]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3098057600.mp3?updated=1720701322" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>065: How Data Science Brings Value through Consulting Firms</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with CEO &amp; Co-founder at SFL Scientific Michael Segala. You will hear about several exciting case studies from the consulting world, see how Data Science can be used in different areas of an organization, learn how it drives real value into business, and finally get valuable insights on data strategy and fantastic tips for those who are building a career in Data Science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/65</description>
      <pubDate>Wed, 28 Jun 2017 23:31:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/21c19a0a-1c34-11ef-9765-1b3d150927fc/image/21e46167d9de8401ae80a862875455f4.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with CEO &amp; Co-founder at SFL Scientific Michael Segala. You will hear about several exciting case studies from the consulting world, see how Data Science can be used in different areas of an organization, learn how it drives real value into business, and finally get valuable insights on data strategy and fantastic tips for those who are building a career in Data Science.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with CEO &amp; Co-founder at SFL Scientific Michael Segala. You will hear about several exciting case studies from the consulting world, see how Data Science can be used in different areas of an organization, learn how it drives real value into business, and finally get valuable insights on data strategy and fantastic tips for those who are building a career in Data Science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/65</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with CEO &amp; Co-founder at SFL Scientific Michael Segala. You will hear about several exciting case studies from the consulting world, see how Data Science can be used in different areas of an organization, learn how it drives real value into business, and finally get valuable insights on data strategy and fantastic tips for those who are building a career in Data Science.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/65">www.superdatascience.com/65</a></p>]]>
      </content:encoded>
      <itunes:duration>3812</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/330612353]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8232325101.mp3?updated=1720701155" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>064: My Best Tool</title>
      <description>What's your favorite tool that you have been using in your career and in what way do you think can you improve your skills using it?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/64</description>
      <pubDate>Fri, 23 Jun 2017 19:42:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2249c088-1c34-11ef-9765-777a2b31f394/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What's your favorite tool that you have been using in your career and in what way do you think can you improve your skills using it?</itunes:subtitle>
      <itunes:summary>What's your favorite tool that you have been using in your career and in what way do you think can you improve your skills using it?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/64</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What's your favorite tool that you have been using in your career and in what way do you think can you improve your skills using it?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/64">www.superdatascience.com/64</a></p>]]>
      </content:encoded>
      <itunes:duration>433</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/329698649]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1929236032.mp3?updated=1720701202" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>063: How to Keep up with Data Science Trends</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Aspiring Data Scientist Erika Dorland. You will learn about the different ways to keep up in Data Science, hear about the women in data science community, know the importance of communication skills and you will also get valuable tips on how to leverage your unique strengths when it comes to Data Science whichever background you’re coming from.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/63</description>
      <pubDate>Wed, 21 Jun 2017 23:11:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/22b241b2-1c34-11ef-9765-0f5a3575431c/image/0c659af77df573043a934c2cd7a695ee.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Aspiring Data Scientist Erika Dorland. You will learn about the different ways to keep up in Data Science, hear about the women in data science community, know the importance of communication skills and you will also get valuable tips on how to leverage your unique strengths when it comes to Data Science whichever background you’re coming from.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Aspiring Data Scientist Erika Dorland. You will learn about the different ways to keep up in Data Science, hear about the women in data science community, know the importance of communication skills and you will also get valuable tips on how to leverage your unique strengths when it comes to Data Science whichever background you’re coming from.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/63</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Aspiring Data Scientist Erika Dorland. You will learn about the different ways to keep up in Data Science, hear about the women in data science community, know the importance of communication skills and you will also get valuable tips on how to leverage your unique strengths when it comes to Data Science whichever background you’re coming from.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/63">www.superdatascience.com/63</a></p>]]>
      </content:encoded>
      <itunes:duration>3643</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/329408868]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1246204302.mp3?updated=1720701179" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>062: Dreams vs. Goals</title>
      <description>Do you have dreams in your life which you think it’s time to turn into goals?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/62</description>
      <pubDate>Fri, 16 Jun 2017 19:10:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/232a5904-1c34-11ef-9765-5ff1a742d093/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Do you have dreams in your life which you think it’s time to turn into goals?</itunes:subtitle>
      <itunes:summary>Do you have dreams in your life which you think it’s time to turn into goals?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/62</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Do you have dreams in your life which you think it’s time to turn into goals?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/62">www.superdatascience.com/62</a></p>]]>
      </content:encoded>
      <itunes:duration>395</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/328437462]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1846362529.mp3?updated=1720701101" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>061: Discovering Data Science Workflows and The Importance of Mentorship</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Data Science Speaker Daniel Whitenack. You will hear about Pachyderm and what the company's mission is, discuss Data Science Workflows and how it's becoming a growing area in data science, learn about the Go Programming Language, and also know the importance of mentorship and the role it plays in both mentees and mentors.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/61</description>
      <pubDate>Wed, 14 Jun 2017 23:41:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/23a3d086-1c34-11ef-9765-3f333735d8a2/image/27c9c0942819928f9da5063735108d09.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Data Science Speaker Daniel Whitenack. You will hear about Pachyderm and what the company's mission is, discuss Data Science Workflows and how it's becoming a growing area in data science, learn about the Go Programming Language, and also know the importance of mentorship and the role it plays in both mentees and mentors.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Data Science Speaker Daniel Whitenack. You will hear about Pachyderm and what the company's mission is, discuss Data Science Workflows and how it's becoming a growing area in data science, learn about the Go Programming Language, and also know the importance of mentorship and the role it plays in both mentees and mentors.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/61</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Data Science Speaker Daniel Whitenack. You will hear about Pachyderm and what the company's mission is, discuss Data Science Workflows and how it's becoming a growing area in data science, learn about the Go Programming Language, and also know the importance of mentorship and the role it plays in both mentees and mentors.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/61">www.superdatascience.com/61</a></p>]]>
      </content:encoded>
      <itunes:duration>3715</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/328093903]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9872822645.mp3?updated=1720701050" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>060: Maker's Schedule vs. Manager's Schedule</title>
      <description>Which type of schedule do you usually participate in and how does it affect your role?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/60</description>
      <pubDate>Fri, 09 Jun 2017 17:45:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/241521b4-1c34-11ef-9765-17b9d15e1dc0/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Which type of schedule do you usually participate in and how does it affect your role?</itunes:subtitle>
      <itunes:summary>Which type of schedule do you usually participate in and how does it affect your role?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/60</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Which type of schedule do you usually participate in and how does it affect your role?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/60">www.superdatascience.com/60</a></p>]]>
      </content:encoded>
      <itunes:duration>401</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/327313735]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6231807715.mp3?updated=1720701022" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>059: Changing Human Behaviour Through a Driving App</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Data Scientist at True Motion Dan Shiebler. You will learn about the True Motion app and how it works, you will listen to great insights about how sensor data from your phone can be collected and analyzed and how data science can be applied to that, you will also understand how a behavior can change through an app, and be able to explore data science passions outside of a job.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/59</description>
      <pubDate>Wed, 07 Jun 2017 22:58:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2497fe36-1c34-11ef-9765-5f8461424223/image/f5bb4fa0215cb5ca3c1ca1ed816c01ab.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Data Scientist at True Motion Dan Shiebler. You will learn about the True Motion app and how it works, you will listen to great insights about how sensor data from your phone can be collected and analyzed and how data science can be applied to that, you will also understand how a behavior can change through an app, and be able to explore data science passions outside of a job.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Data Scientist at True Motion Dan Shiebler. You will learn about the True Motion app and how it works, you will listen to great insights about how sensor data from your phone can be collected and analyzed and how data science can be applied to that, you will also understand how a behavior can change through an app, and be able to explore data science passions outside of a job.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/59</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Data Scientist at True Motion Dan Shiebler. You will learn about the True Motion app and how it works, you will listen to great insights about how sensor data from your phone can be collected and analyzed and how data science can be applied to that, you will also understand how a behavior can change through an app, and be able to explore data science passions outside of a job.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/59">www.superdatascience.com/59</a></p>]]>
      </content:encoded>
      <itunes:duration>3462</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/327047808]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1778383660.mp3?updated=1720700995" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>058: Conferences</title>
      <description>When was the last time you attended a conference?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/58</description>
      <pubDate>Fri, 02 Jun 2017 15:47:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/251834b6-1c34-11ef-9765-c3eb691cb652/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>When was the last time you attended a conference?</itunes:subtitle>
      <itunes:summary>When was the last time you attended a conference?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/58</itunes:summary>
      <content:encoded>
        <![CDATA[<p>When was the last time you attended a conference?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/58">www.superdatascience.com/58</a></p>]]>
      </content:encoded>
      <itunes:duration>443</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/325713347]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9483405035.mp3?updated=1720700964" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>057: Building Image Datasets and Their Importance in Machine Learning</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Head of Applied Machine Learning Ryan Compton. You will learn about how a Neural Network Filters NSFW images differently from humans, the different applications of Neural Network Image Filters, why artificial intelligence is used in the world and how it is helping organizations deliver better services; and you will also learn about the 2 Growth Areas in AI - the automation and pushing boundaries.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/57</description>
      <pubDate>Wed, 31 May 2017 23:25:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/259c1696-1c34-11ef-9765-b7391031e58f/image/5aa533463415bd3b06895d5218ac03ad.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Head of Applied Machine Learning Ryan Compton. You will learn about how a Neural Network Filters NSFW images differently from humans, the different applications of Neural Network Image Filters, why artificial intelligence is used in the world and how it is helping organizations deliver better services; and you will also learn about the 2 Growth Areas in AI - the automation and pushing boundaries.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Head of Applied Machine Learning Ryan Compton. You will learn about how a Neural Network Filters NSFW images differently from humans, the different applications of Neural Network Image Filters, why artificial intelligence is used in the world and how it is helping organizations deliver better services; and you will also learn about the 2 Growth Areas in AI - the automation and pushing boundaries.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/57</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Head of Applied Machine Learning Ryan Compton. You will learn about how a Neural Network Filters NSFW images differently from humans, the different applications of Neural Network Image Filters, why artificial intelligence is used in the world and how it is helping organizations deliver better services; and you will also learn about the 2 Growth Areas in AI - the automation and pushing boundaries.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/57">www.superdatascience.com/57</a></p>]]>
      </content:encoded>
      <itunes:duration>3204</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/325439952]]></guid>
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    </item>
    <item>
      <title>056: Date With Destiny</title>
      <description>How can you change or improve your life for the better and achieve more greatness?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/56</description>
      <pubDate>Fri, 26 May 2017 17:48:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2615be60-1c34-11ef-9765-57049c59eb87/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How can you change or improve your life for the better and achieve more greatness?</itunes:subtitle>
      <itunes:summary>How can you change or improve your life for the better and achieve more greatness?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/56</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How can you change or improve your life for the better and achieve more greatness?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/56">www.superdatascience.com/56</a></p>]]>
      </content:encoded>
      <itunes:duration>403</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/324636754]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8608442223.mp3?updated=1720700905" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>055: Building and Managing a Successful Data Science Team</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Head of Data Jaco Van Der Berg. You will hear about many different topics in the space of data such as data strategy, data security, data flow within an organization and the single point of truth. You will also get to learn about managing and hiring for a data science team and gain lots of knowledge about the structure of a data team.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/55</description>
      <pubDate>Wed, 24 May 2017 23:04:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/268b1598-1c34-11ef-9765-bbdb4691f328/image/202e76c0d6f7d7fa20b68f4664f18913.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Head of Data Jaco Van Der Berg. You will hear about many different topics in the space of data such as data strategy, data security, data flow within an organization and the single point of truth. You will also get to learn about managing and hiring for a data science team and gain lots of knowledge about the structure of a data team.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Head of Data Jaco Van Der Berg. You will hear about many different topics in the space of data such as data strategy, data security, data flow within an organization and the single point of truth. You will also get to learn about managing and hiring for a data science team and gain lots of knowledge about the structure of a data team.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/55</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Head of Data Jaco Van Der Berg. You will hear about many different topics in the space of data such as data strategy, data security, data flow within an organization and the single point of truth. You will also get to learn about managing and hiring for a data science team and gain lots of knowledge about the structure of a data team.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/55">www.superdatascience.com/55</a></p>]]>
      </content:encoded>
      <itunes:duration>3134</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/324341412]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1648489414.mp3?updated=1720700879" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>054: Selective Ignorance</title>
      <description>How long do you think you can go without checking on websites about news, reading the news, picking up a newspaper, or watching the news on your TV?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/54</description>
      <pubDate>Fri, 19 May 2017 19:28:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/26f7c260-1c34-11ef-9765-cf8cbe3cc6b5/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How long do you think you can go without checking on websites about news, reading the news, picking up a newspaper, or without watching the news on your TV?</itunes:subtitle>
      <itunes:summary>How long do you think you can go without checking on websites about news, reading the news, picking up a newspaper, or watching the news on your TV?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/54</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How long do you think you can go without checking on websites about news, reading the news, picking up a newspaper, or watching the news on your TV?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/54">www.superdatascience.com/54</a></p>]]>
      </content:encoded>
      <itunes:duration>457</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/323442262]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8141097657.mp3?updated=1720700852" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>053: Career Transitioning to Data Science: Important Lessons from an Aspiring Data Scientist</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Aspiring Data Scientist Virginia Mendonca. You will know how Virginia goes about understanding what skills she needs to learn and how to break into the space of data science, what steps to take when building a new career in a different space, and also how goals and dreams are different and that how important your passion is to the success of your dreams.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/53</description>
      <pubDate>Wed, 17 May 2017 23:20:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/276f664e-1c34-11ef-9765-c3cc904294d7/image/61d172dd7a790b74d2f2414af699568d.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Aspiring Data Scientist Virginia Mendonca. You will know how Virginia goes about understanding what skills she needs to learn and how to break into the space of data science, what steps to take when building a new career in a different space, and also how goals and dreams are different and that how important your passion is to the success of your dreams.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Aspiring Data Scientist Virginia Mendonca. You will know how Virginia goes about understanding what skills she needs to learn and how to break into the space of data science, what steps to take when building a new career in a different space, and also how goals and dreams are different and that how important your passion is to the success of your dreams.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/53</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Aspiring Data Scientist Virginia Mendonca. You will know how Virginia goes about understanding what skills she needs to learn and how to break into the space of data science, what steps to take when building a new career in a different space, and also how goals and dreams are different and that how important your passion is to the success of your dreams.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/53">www.superdatascience.com/53</a></p>]]>
      </content:encoded>
      <itunes:duration>3486</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/323139753]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1454018297.mp3?updated=1720700779" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>052: Getting Things Done</title>
      <description>What are the particular things that you do where you could demonstrate getting these things done from start to finish?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/52</description>
      <pubDate>Fri, 12 May 2017 16:02:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/27d979d0-1c34-11ef-9765-1b76f6531e9b/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What are the particular things that you do where you could demonstrate getting these things done from start to finish?</itunes:subtitle>
      <itunes:summary>What are the particular things that you do where you could demonstrate getting these things done from start to finish?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/52</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What are the particular things that you do where you could demonstrate getting these things done from start to finish?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/52">www.superdatascience.com/52</a></p>]]>
      </content:encoded>
      <itunes:duration>413</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/322288571]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD5932440363.mp3?updated=1720700750" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>051: Understanding the Newest Big Data Technology Buzz Terms</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Global Analytics Consultant Scott King. You will predominantly hear about Hadoop, get to learn about HDFS, MapReduce, Hive, Kudu, Spark, YARN &amp; Seahorse, what is a Data Lake and how it is useful, hear advice for public speaking and get some tips and tricks on how to prepare on Data Science presentations and prepare for your audiences.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/51</description>
      <pubDate>Wed, 10 May 2017 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/286680c8-1c34-11ef-9765-7fc1df6cea69/image/1f9e26881a84fbd9b2c72fad9ebcd68f.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Global Analytics Consultant Scott King. You will predominantly hear about Hadoop, get to learn about HDFS, MapReduce, Hive, Kudu, Spark, YARN &amp; Seahorse, what is a Data Lake and how it is useful, hear advice for public speaking and get some tips and tricks on how to prepare on Data Science presentations and prepare for your audiences.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Global Analytics Consultant Scott King. You will predominantly hear about Hadoop, get to learn about HDFS, MapReduce, Hive, Kudu, Spark, YARN &amp; Seahorse, what is a Data Lake and how it is useful, hear advice for public speaking and get some tips and tricks on how to prepare on Data Science presentations and prepare for your audiences.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/51</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Global Analytics Consultant Scott King. You will predominantly hear about Hadoop, get to learn about HDFS, MapReduce, Hive, Kudu, Spark, YARN &amp; Seahorse, what is a Data Lake and how it is useful, hear advice for public speaking and get some tips and tricks on how to prepare on Data Science presentations and prepare for your audiences.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/51">www.superdatascience.com/51</a></p>]]>
      </content:encoded>
      <itunes:duration>3909</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/321996611]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9400528273.mp3?updated=1720700721" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>050: Teamwork</title>
      <description>What are the tasks that you are now doing just by yourself that you think would be better accomplished within a team?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/50</description>
      <pubDate>Fri, 05 May 2017 15:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/28dfc8b6-1c34-11ef-9765-23105ccbafb4/image/de141ea57b1131fefdfa10366de226c2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What are the tasks that you are now doing just by yourself that you think would be better accomplished within a team?</itunes:subtitle>
      <itunes:summary>What are the tasks that you are now doing just by yourself that you think would be better accomplished within a team?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/50</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What are the tasks that you are now doing just by yourself that you think would be better accomplished within a team?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/50">www.superdatascience.com/50</a></p>]]>
      </content:encoded>
      <itunes:duration>347</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/321116259]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6334232595.mp3?updated=1720698410" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>049: Great Tips on Building a Successful Analytics Culture</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the President and Founder of Tiber Solutions Jim Hadley. You will be able to learn a different approach to hiring, get great tips and hacks on how to build an analytics culture, you will also hear about Star Schema and ETL, and be able to discover what a successful analytics workplace should look like.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/49</description>
      <pubDate>Wed, 03 May 2017 23:02:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2956afb2-1c34-11ef-9765-7bbe01aa5965/image/6d5795cdbff4ff780e3402ca3a07757d.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the President and Founder of Tiber Solutions Jim Hadley. You will be able to learn a different approach to hiring, get great tips and hacks on how to build an analytics culture, you will also hear about Star Schema and ETL, and be able to discover what a successful analytics workplace should look like.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the President and Founder of Tiber Solutions Jim Hadley. You will be able to learn a different approach to hiring, get great tips and hacks on how to build an analytics culture, you will also hear about Star Schema and ETL, and be able to discover what a successful analytics workplace should look like.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/49</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the President and Founder of Tiber Solutions Jim Hadley. You will be able to learn a different approach to hiring, get great tips and hacks on how to build an analytics culture, you will also hear about Star Schema and ETL, and be able to discover what a successful analytics workplace should look like.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/49">www.superdatascience.com/49</a></p>]]>
      </content:encoded>
      <itunes:duration>3881</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/320816337]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2736666461.mp3?updated=1720698378" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>048: Push Yourself</title>
      <description>In what way do you think you can push yourself out of your comfort zone at some point within the next 7 days?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/48</description>
      <pubDate>Fri, 28 Apr 2017 16:25:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/29d7eb0e-1c34-11ef-9765-9faa36601d84/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In what way do you think you can push yourself out of your comfort zone at some point within the next 7 days?</itunes:subtitle>
      <itunes:summary>In what way do you think you can push yourself out of your comfort zone at some point within the next 7 days?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/48</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In what way do you think you can push yourself out of your comfort zone at some point within the next 7 days?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/48">www.superdatascience.com/48</a></p>]]>
      </content:encoded>
      <itunes:duration>437</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/319919003]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2648817112.mp3?updated=1720698342" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>047: An Expert Overview of the Deep Learning Models, Supervised and Unsupervised</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with the Deep Learning Expert Hadelin de Ponteves. You will be able to have a look at the 6 supervised and unsupervised deep learning models, learn why deep learning instead of machine learning, and discover TensorFlow and PyTorch as the two major tools in Deep Learning.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/47</description>
      <pubDate>Wed, 26 Apr 2017 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2a44b806-1c34-11ef-9765-a3f523ee37be/image/545ef87617432a2be2462d7514a75aa7.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with the Deep Learning Expert Hadelin de Ponteves. You will be able to have a look at the 6 supervised and unsupervised deep learning models, learn why deep learning instead of machine learning, and discover TensorFlow and PyTorch as the two major tools in Deep Learning.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with the Deep Learning Expert Hadelin de Ponteves. You will be able to have a look at the 6 supervised and unsupervised deep learning models, learn why deep learning instead of machine learning, and discover TensorFlow and PyTorch as the two major tools in Deep Learning.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/47</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with the Deep Learning Expert Hadelin de Ponteves. You will be able to have a look at the 6 supervised and unsupervised deep learning models, learn why deep learning instead of machine learning, and discover TensorFlow and PyTorch as the two major tools in Deep Learning.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/47">www.superdatascience.com/47</a></p>]]>
      </content:encoded>
      <itunes:duration>3780</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>046: What is Reality?</title>
      <description>What if our consciousness has merely created a similar user interface for us to interact with reality? What are your thoughts?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/46</description>
      <pubDate>Fri, 21 Apr 2017 13:59:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2ab79542-1c34-11ef-9765-1ff880419131/image/9dd5db9592d901c4e2baf2d45a5a55cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What if our consciousness has merely created a similar user interface for us to interact with reality? What are your thoughts?</itunes:subtitle>
      <itunes:summary>What if our consciousness has merely created a similar user interface for us to interact with reality? What are your thoughts?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/46</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What if our consciousness has merely created a similar user interface for us to interact with reality? What are your thoughts?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/46">www.superdatascience.com/46</a></p>]]>
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      <itunes:duration>392</itunes:duration>
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    </item>
    <item>
      <title>045: Exclusive Interview with the Legendary in Kaggle Competitions Eu Jin Lok</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Kaggle Grandmaster Eu Jin Lok. You will be able to learn how to forecast year-ahead hospital stays using an ensemble of algorithms, discover feature extraction in a credit scoring model, discuss his great competition experiences, and get ideas on how to be involved in a Kaggle competition.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/45</description>
      <pubDate>Wed, 19 Apr 2017 22:59:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2b477748-1c34-11ef-9765-7f9b7f1cffa0/image/9e6dfb205670707a8913cb903640fa81.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Kaggle Grandmaster Eu Jin Lok. You will be able to learn how to forecast year-ahead hospital stays using an ensemble of algorithms, discover feature extraction in a credit scoring model, discuss his great competition experiences, and get ideas on how to be involved in a Kaggle competition.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Kaggle Grandmaster Eu Jin Lok. You will be able to learn how to forecast year-ahead hospital stays using an ensemble of algorithms, discover feature extraction in a credit scoring model, discuss his great competition experiences, and get ideas on how to be involved in a Kaggle competition.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/45</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Kaggle Grandmaster Eu Jin Lok. You will be able to learn how to forecast year-ahead hospital stays using an ensemble of algorithms, discover feature extraction in a credit scoring model, discuss his great competition experiences, and get ideas on how to be involved in a Kaggle competition.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/45">www.superdatascience.com/45</a></p>]]>
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    <item>
      <title>044: Addicted to Data</title>
      <description>Do you feel obliged to check your phone most of the time?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/44</description>
      <pubDate>Sat, 15 Apr 2017 07:54:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
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      <itunes:image href="https://megaphone.imgix.net/podcasts/2bea4b4e-1c34-11ef-9765-fbf7c94f6d6a/image/de141ea57b1131fefdfa10366de226c2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Do you feel obliged to check your phone most of the time?</itunes:subtitle>
      <itunes:summary>Do you feel obliged to check your phone most of the time?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/44</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Do you feel obliged to check your phone most of the time?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/44">www.superdatascience.com/44</a></p>]]>
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      <itunes:duration>460</itunes:duration>
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    <item>
      <title>043: Solving an Optimization Problem with a Custom Built Algorithm</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with AI Researcher Deblina Bhattacharjee. You will be able to discover about the great research opportunities around the world, learn about building an automated healthcare solution and hear how to apply the Fibonacci sequence to solve optimization problems.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/43</description>
      <pubDate>Wed, 12 Apr 2017 22:59:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2c5813c2-1c34-11ef-9765-37ba93e642dc/image/58f2118d8a554ae4bd576f589ff017d4.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with AI Researcher Deblina Bhattacharjee. You will be able to discover about the great research opportunities around the world, learn about building an automated healthcare solution and hear how to apply the Fibonacci sequence to solve optimization problems.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with AI Researcher Deblina Bhattacharjee. You will be able to discover about the great research opportunities around the world, learn about building an automated healthcare solution and hear how to apply the Fibonacci sequence to solve optimization problems.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/43</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with AI Researcher Deblina Bhattacharjee. You will be able to discover about the great research opportunities around the world, learn about building an automated healthcare solution and hear how to apply the Fibonacci sequence to solve optimization problems.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/43">www.superdatascience.com/43</a></p>]]>
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      <itunes:duration>3480</itunes:duration>
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    <item>
      <title>042: Secret to Success</title>
      <description>What do you think are the things that may help you reach your goals?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/42</description>
      <pubDate>Fri, 07 Apr 2017 14:03:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2cd79228-1c34-11ef-9765-db95a04b29ba/image/de141ea57b1131fefdfa10366de226c2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What do you think are the things that may help you reach your goals?</itunes:subtitle>
      <itunes:summary>What do you think are the things that may help you reach your goals?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/42</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What do you think are the things that may help you reach your goals?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/42">www.superdatascience.com/42</a></p>]]>
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      <itunes:duration>572</itunes:duration>
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    <item>
      <title>041: An Inspiring Journey from a Totally Different Background to Data Science</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Aspiring Data Scientist Nicholas Cepeda. You will be able to discover the many different pathways in Data Science, learn R from a SQL background and hear about SAS Enterprise Miner.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/41</description>
      <pubDate>Wed, 05 Apr 2017 22:58:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2d50db88-1c34-11ef-9765-476c281a78d7/image/eb896e4f7464cb2a78f8b9de63c0f5f1.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Aspiring Data Scientist Nicholas Cepeda. You will be able to discover the many different pathways in Data Science, learn R from a SQL background and hear about SAS Enterprise Miner.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Aspiring Data Scientist Nicholas Cepeda. You will be able to discover the many different pathways in Data Science, learn R from a SQL background and hear about SAS Enterprise Miner.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/41</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Aspiring Data Scientist Nicholas Cepeda. You will be able to discover the many different pathways in Data Science, learn R from a SQL background and hear about SAS Enterprise Miner.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/41">www.superdatascience.com/41</a></p>]]>
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      <itunes:duration>2958</itunes:duration>
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    <item>
      <title>040: Get in Touch</title>
      <description>If you were given the chance to choose a guest to be interviewed on our podcast, who would that be, and what question would you most want to hear them answer?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/40</description>
      <pubDate>Fri, 31 Mar 2017 15:59:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2dcd5b04-1c34-11ef-9765-6bfc13bcb576/image/de141ea57b1131fefdfa10366de226c2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>If you were given the chance to choose a guest to be interviewed on our podcast, who would that be, and what question would you most want to hear them answer?</itunes:subtitle>
      <itunes:summary>If you were given the chance to choose a guest to be interviewed on our podcast, who would that be, and what question would you most want to hear them answer?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/40</itunes:summary>
      <content:encoded>
        <![CDATA[<p>If you were given the chance to choose a guest to be interviewed on our podcast, who would that be, and what question would you most want to hear them answer?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/40">www.superdatascience.com/40</a></p>]]>
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      <itunes:duration>329</itunes:duration>
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    <item>
      <title>039: Key Data Science and Statistical Skills to Get Hired at VSCO</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Director of Data Science at VSCO Ruben Kogel. You will hear how to build a data culture in an organization, learn about setting up and analyzing A/B tests and know the ideal qualities of data scientists.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/39</description>
      <pubDate>Wed, 29 Mar 2017 23:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2e583ae4-1c34-11ef-9765-173a19672841/image/d0a597c69a80023b4afb2c844dbb4070.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Director of Data Science at VSCO Ruben Kogel. You will hear how to build a data culture in an organization, learn about setting up and analyzing A/B tests and know the ideal qualities of data scientists.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Director of Data Science at VSCO Ruben Kogel. You will hear how to build a data culture in an organization, learn about setting up and analyzing A/B tests and know the ideal qualities of data scientists.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/39</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Director of Data Science at VSCO Ruben Kogel. You will hear how to build a data culture in an organization, learn about setting up and analyzing A/B tests and know the ideal qualities of data scientists.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/39">www.superdatascience.com/39</a></p>]]>
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    <item>
      <title>038: How to Get a Job in Data Science</title>
      <description>What can you start doing today to be able to get your dream job in data science?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/38</description>
      <pubDate>Fri, 24 Mar 2017 14:10:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2ecc026c-1c34-11ef-9765-17341ae5ec30/image/de141ea57b1131fefdfa10366de226c2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What can you start doing today to be able to get your dream job in data science?</itunes:subtitle>
      <itunes:summary>What can you start doing today to be able to get your dream job in data science?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/38</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What can you start doing today to be able to get your dream job in data science?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/38">www.superdatascience.com/38</a></p>]]>
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      <itunes:duration>461</itunes:duration>
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    </item>
    <item>
      <title>037: Develop your Dream Data Science Career with Experfy</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Founder and Co-CEO of Experfy, Harpreet Singh. You will learn and assess on Experfy, get to hear about data science application case studies and know the secret to data science success.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/37</description>
      <pubDate>Wed, 22 Mar 2017 22:58:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2f459f0a-1c34-11ef-9765-bf3031fac993/image/9812eab20756a5cf6f6c024664e2d616.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Founder and Co-CEO of Experfy, Harpreet Singh. You will learn and assess on Experfy, get to hear about data science application case studies and know the secret to data science success.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Founder and Co-CEO of Experfy, Harpreet Singh. You will learn and assess on Experfy, get to hear about data science application case studies and know the secret to data science success.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/37</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Founder and Co-CEO of Experfy, Harpreet Singh. You will learn and assess on Experfy, get to hear about data science application case studies and know the secret to data science success.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/37">www.superdatascience.com/37</a></p>]]>
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      <itunes:duration>3635</itunes:duration>
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    <item>
      <title>036: Happiness and Problem Solving</title>
      <description>What are those problems that you have encountered in your life which you enjoyed solving at the same time?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/36</description>
      <pubDate>Fri, 17 Mar 2017 00:06:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2fc4db62-1c34-11ef-9765-533d362590de/image/de141ea57b1131fefdfa10366de226c2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What are those problems that you have encountered in your life which you enjoyed solving at the same time?</itunes:subtitle>
      <itunes:summary>What are those problems that you have encountered in your life which you enjoyed solving at the same time?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/36</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What are those problems that you have encountered in your life which you enjoyed solving at the same time?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/36">www.superdatascience.com/36</a></p>]]>
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      <itunes:duration>400</itunes:duration>
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    <item>
      <title>035: Build Your Own Data Science Masters Degree with David Venturi</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Data Science Course Critic David Venturi. You will hear about a data-driven approach to building a masters degree in data science, learn about the alternative strategies necessary to secure employment and get some essential study hacks you would love to know.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/35</description>
      <pubDate>Wed, 15 Mar 2017 23:24:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/303d048e-1c34-11ef-9765-972de820c865/image/d4940a7b13a9bd4df2d77fdb96ff018c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Data Science Course Critic David Venturi. You will hear about a data-driven approach to building a masters degree in data science, learn about the alternative strategies necessary to secure employment and get some essential study hacks you would love to know.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Data Science Course Critic David Venturi. You will hear about a data-driven approach to building a masters degree in data science, learn about the alternative strategies necessary to secure employment and get some essential study hacks you would love to know.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/35</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Data Science Course Critic David Venturi. You will hear about a data-driven approach to building a masters degree in data science, learn about the alternative strategies necessary to secure employment and get some essential study hacks you would love to know.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/35">www.superdatascience.com/35</a></p>]]>
      </content:encoded>
      <itunes:duration>2851</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/312617942]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3557452445.mp3?updated=1720613193" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>034: Failure</title>
      <description>How do you think has your most recent failure, large or small, helped you learn and grow as a person?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/34</description>
      <pubDate>Thu, 09 Mar 2017 23:14:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/30b32f74-1c34-11ef-9765-6fdd079e5948/image/de141ea57b1131fefdfa10366de226c2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How do you think has your most recent failure, large or small, helped you learn and grow as a person?</itunes:subtitle>
      <itunes:summary>How do you think has your most recent failure, large or small, helped you learn and grow as a person?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/34</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How do you think has your most recent failure, large or small, helped you learn and grow as a person?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/34">www.superdatascience.com/34</a></p>]]>
      </content:encoded>
      <itunes:duration>347</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/311602676]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9147605670.mp3?updated=1720613166" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>033: Building a Personal Brand in Data Science with Senior Insights Manager Josh Coulson</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Senior Insights Manager at LinkedIn Josh Coulson. You will hear about the implications of moving into the Gig Economy, learn how to build a personal brand in data science, discuss data democratization across organizations and get insights on how to enhance your career and build better opportunities in the space of data science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/33</description>
      <pubDate>Wed, 08 Mar 2017 23:38:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/312b9c70-1c34-11ef-9765-2b46437e92bb/image/a465e4aa999367be2bbe390f7f6ab455.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with Senior Insights Manager at LinkedIn Josh Coulson. You will hear about the implications of moving into the Gig Economy, learn how to build a personal brand in data science, discuss data democratization across organizations and get insights on how to enhance your career and build better opportunities in the space of data science.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Senior Insights Manager at LinkedIn Josh Coulson. You will hear about the implications of moving into the Gig Economy, learn how to build a personal brand in data science, discuss data democratization across organizations and get insights on how to enhance your career and build better opportunities in the space of data science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/33</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Senior Insights Manager at LinkedIn Josh Coulson. You will hear about the implications of moving into the Gig Economy, learn how to build a personal brand in data science, discuss data democratization across organizations and get insights on how to enhance your career and build better opportunities in the space of data science.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/33">www.superdatascience.com/33</a></p>]]>
      </content:encoded>
      <itunes:duration>3909</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/311435239]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9883174046.mp3?updated=1720613126" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>032: Get Out There!</title>
      <description>What could be that one thing you would want to do with other people this week?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/32</description>
      <pubDate>Fri, 03 Mar 2017 00:16:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/31a97c12-1c34-11ef-9765-7792e0a17239/image/de141ea57b1131fefdfa10366de226c2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>What could be that one thing you would want to do with other people this week?</itunes:subtitle>
      <itunes:summary>What could be that one thing you would want to do with other people this week?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/32</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What could be that one thing you would want to do with other people this week?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/32">www.superdatascience.com/32</a></p>]]>
      </content:encoded>
      <itunes:duration>357</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/310422825]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6896296065.mp3?updated=1720613096" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>031: AB Testing, Kissmetrics and Ways to a Better Lifestyle with David Tanaskovic</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with my good friend and a Director of a media marketing agency David Tanaskovic. You will cover of the tools that are used in the marketing space, talk about Kissmetrics, discuss how David views AB Testing and learn tips on how to have a better lifestyle.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/31</description>
      <pubDate>Wed, 01 Mar 2017 23:35:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3226d5ea-1c34-11ef-9765-236a7ce8e4c6/image/e67099d3d1854988aca32e198184ff48.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this episode of the SuperDataScience Podcast, I chat with my good friend and a Director of a media marketing agency David Tanaskovic. You will cover of the tools that are used in the marketing space, talk about Kissmetrics, discuss how David views AB Testing and learn tips on how to have a better lifestyle.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with my good friend and a Director of a media marketing agency David Tanaskovic. You will cover of the tools that are used in the marketing space, talk about Kissmetrics, discuss how David views AB Testing and learn tips on how to have a better lifestyle.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/31</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with my good friend and a Director of a media marketing agency David Tanaskovic. You will cover of the tools that are used in the marketing space, talk about Kissmetrics, discuss how David views AB Testing and learn tips on how to have a better lifestyle.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/31">www.superdatascience.com/31</a></p>]]>
      </content:encoded>
      <itunes:duration>3860</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/310233575]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3201318204.mp3?updated=1720613064" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>030: Compartmentalization</title>
      <description>How do you handle and prioritize your problems in life?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/30</description>
      <pubDate>Fri, 24 Feb 2017 14:14:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/329fbabe-1c34-11ef-9765-e32f708e18f4/image/de141ea57b1131fefdfa10366de226c2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How do you handle and prioritize your problems in life?</itunes:subtitle>
      <itunes:summary>How do you handle and prioritize your problems in life?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/30</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How do you handle and prioritize your problems in life?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/30">www.superdatascience.com/30</a></p>]]>
      </content:encoded>
      <itunes:duration>350</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/309339921]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9488311139.mp3?updated=1720613033" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>029: Dive Into Deep Learning and Find Out Where Machines Can Outperform Humans With Ben Taylor</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Chief Data Scientist Ben Taylor. You will learn about the role of AI in recruitment, know about a crash course in deep learning and discuss on where machines can outperform humans.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/29</description>
      <pubDate>Thu, 23 Feb 2017 00:51:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/331a1282-1c34-11ef-9765-a714e6ce2c0d/image/ada8dd9610467348644da49c24dc757b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Learn about the role of AI in recruitment, know about a crash course in deep learning and discuss on where machines can outperform humans.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Chief Data Scientist Ben Taylor. You will learn about the role of AI in recruitment, know about a crash course in deep learning and discuss on where machines can outperform humans.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/29</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Chief Data Scientist Ben Taylor. You will learn about the role of AI in recruitment, know about a crash course in deep learning and discuss on where machines can outperform humans.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/29">www.superdatascience.com/29</a></p>]]>
      </content:encoded>
      <itunes:duration>3967</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/309092719]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4310327154.mp3?updated=1720613004" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>028: Pride and Humility</title>
      <description>How do you think can you find a way to feel satisfied with your achievements without taking away your energy from future greatness?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/28</description>
      <pubDate>Thu, 16 Feb 2017 22:58:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3393517e-1c34-11ef-9765-7b96de98f114/image/de141ea57b1131fefdfa10366de226c2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How do you think can you find a way to feel satisfied with your achievements without taking away your energy from future greatness?</itunes:subtitle>
      <itunes:summary>How do you think can you find a way to feel satisfied with your achievements without taking away your energy from future greatness?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/28</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How do you think can you find a way to feel satisfied with your achievements without taking away your energy from future greatness?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/28">www.superdatascience.com/28</a></p>]]>
      </content:encoded>
      <itunes:duration>320</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/308117101]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7499529496.mp3?updated=1720612971" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>027: Career Choice, Disruptions in Finance and Application Stacks with Aziz Mamatov</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Vice President of Finance Aziz Mamatov. You will get advice on how to choose a career, learn about the disruptions in the financial industry landscape and get to know about application stacks.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/27</description>
      <pubDate>Thu, 16 Feb 2017 22:56:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/341a1c86-1c34-11ef-9765-47ab64b1d009/image/80978e0878aa4263ee0422f2f7e42e90.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Get advice on how to choose a career, learn about the disruptions in the financial industry landscape and get to know about application stacks.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Vice President of Finance Aziz Mamatov. You will get advice on how to choose a career, learn about the disruptions in the financial industry landscape and get to know about application stacks.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/27</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Vice President of Finance Aziz Mamatov. You will get advice on how to choose a career, learn about the disruptions in the financial industry landscape and get to know about application stacks.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/27">www.superdatascience.com/27</a></p>]]>
      </content:encoded>
      <itunes:duration>3723</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/308116906]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2571943942.mp3?updated=1720612942" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>026: Sweat Every Day</title>
      <description>Do you sweat every day? Why do you think would you want to?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/26</description>
      <pubDate>Thu, 09 Feb 2017 23:11:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3704cc5c-1c34-11ef-9765-3be9fae23698/image/de141ea57b1131fefdfa10366de226c2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Do you sweat every day? Why do you think would you want to?</itunes:subtitle>
      <itunes:summary>Do you sweat every day? Why do you think would you want to?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/26</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Do you sweat every day? Why do you think would you want to?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/26">www.superdatascience.com/26</a></p>]]>
      </content:encoded>
      <itunes:duration>381</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/306966584]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9918473329.mp3?updated=1720612914" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>025: Women in STEM, Bench Science to Data Science and Data and Medical Ethics w/ Kimberly Deas</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Data Analyst Kimberly Deas. You will get to listen to a discussion about women in STEM, know how being into bench science field could get you to data science and be able to learn about data and medical ethics.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/25</description>
      <pubDate>Wed, 08 Feb 2017 22:21:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/377e4ff0-1c34-11ef-9765-eba5e80b7a73/image/9d477b9e1e9071c5f42a228a3b957f28.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Listen to a discussion about women in STEM, know how being into bench science field could get you to data science and be able to learn about data and medical ethics.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Data Analyst Kimberly Deas. You will get to listen to a discussion about women in STEM, know how being into bench science field could get you to data science and be able to learn about data and medical ethics.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/25</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Data Analyst Kimberly Deas. You will get to listen to a discussion about women in STEM, know how being into bench science field could get you to data science and be able to learn about data and medical ethics.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/25">www.superdatascience.com/25</a></p>]]>
      </content:encoded>
      <itunes:duration>3753</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/306786675]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7679282646.mp3?updated=1720612885" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>024: "What are you passionate about?"</title>
      <description>How will discovering the passions of the people around you enrich your own life?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/24</description>
      <pubDate>Fri, 03 Feb 2017 13:05:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/385f78b8-1c34-11ef-9765-f7efb0f77c5d/image/de141ea57b1131fefdfa10366de226c2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How will discovering the passions of the people around you enrich your own life?</itunes:subtitle>
      <itunes:summary>How will discovering the passions of the people around you enrich your own life?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/24</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How will discovering the passions of the people around you enrich your own life?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/24">www.superdatascience.com/24</a></p>]]>
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      <itunes:duration>316</itunes:duration>
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    </item>
    <item>
      <title>023: Data in Marketing, Statistical Significance and Management and Career Advice</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Marketing Expert Sam Flegal. You will know about the essential roles of data in marketing, learn about statistical significance, and get insights and advice about management and career.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/23</description>
      <pubDate>Wed, 01 Feb 2017 22:55:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/39041af8-1c34-11ef-9765-935cc917986a/image/a91d4419de4889da9fa9a7a397bfb924.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Learn about the essential roles of data in marketing, about statistical significance, and get insights and advice about management and career.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Marketing Expert Sam Flegal. You will know about the essential roles of data in marketing, learn about statistical significance, and get insights and advice about management and career.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/23</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Marketing Expert Sam Flegal. You will know about the essential roles of data in marketing, learn about statistical significance, and get insights and advice about management and career.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/23">www.superdatascience.com/23</a></p>]]>
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      <itunes:duration>3820</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/305668091]]></guid>
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    </item>
    <item>
      <title>022: Seoi Pei - The Skin of Water</title>
      <description>How different is the real version of ourselves from the version we first present to others and why?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/22</description>
      <pubDate>Fri, 27 Jan 2017 23:23:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/39840d08-1c34-11ef-9765-93871328f344/image/de141ea57b1131fefdfa10366de226c2.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How different is the real version of ourselves from the version we first present to others and why?</itunes:subtitle>
      <itunes:summary>How different is the real version of ourselves from the version we first present to others and why?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/22</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How different is the real version of ourselves from the version we first present to others and why?</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/22">www.superdatascience.com/22</a></p>]]>
      </content:encoded>
      <itunes:duration>582</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/304870968]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6573198910.mp3?updated=1720612786" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>021: Applications of Data Science, Democratizing AI and Advice with Sinan Ozdemir</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Data Science Author Sinan Ozdemir. You will learn the different applications of data science, advance your knowledge in democratizing AI and hear advices that will help the learners of data science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/21</description>
      <pubDate>Wed, 25 Jan 2017 23:51:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/39ff8302-1c34-11ef-9765-4b4fc5ad3bc4/image/585e7577cee97e17ad00d4ca6d1607a4.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Learn the different applications of data science, advance your knowledge in democratizing AI and hear advices that will help the learners of data science.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Data Science Author Sinan Ozdemir. You will learn the different applications of data science, advance your knowledge in democratizing AI and hear advices that will help the learners of data science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/21</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Data Science Author Sinan Ozdemir. You will learn the different applications of data science, advance your knowledge in democratizing AI and hear advices that will help the learners of data science.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/21">www.superdatascience.com/21</a></p>]]>
      </content:encoded>
      <itunes:duration>3564</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/304540051]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9358301498.mp3?updated=1720612754" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>020: Generation Z Insights, Data Privacy and SQL and Database Design with Ilya Eremenko</title>
      <description>In this episode of the Super Data Science Podcast, I chat with my brother, QUT student Ilya Eremenko. You will hear insights about Generation Z, learn about data privacy and get more knowledge about SQL and database design.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/20</description>
      <pubDate>Thu, 19 Jan 2017 23:14:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3a845cb2-1c34-11ef-9765-f7de90399ac1/image/b1ca68bc446809c25958655eadc82bd9.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Hear insights about Generation Z, learn about data privacy and get more knowledge about SQL and database design.</itunes:subtitle>
      <itunes:summary>In this episode of the Super Data Science Podcast, I chat with my brother, QUT student Ilya Eremenko. You will hear insights about Generation Z, learn about data privacy and get more knowledge about SQL and database design.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/20</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the Super Data Science Podcast, I chat with my brother, QUT student Ilya Eremenko. You will hear insights about Generation Z, learn about data privacy and get more knowledge about SQL and database design.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/20">www.superdatascience.com/20</a></p>]]>
      </content:encoded>
      <itunes:duration>4206</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/303571300]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6698276315.mp3?updated=1720612721" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>019: Government Work, Revisiting Left Brain/Right Brain and Artistic Thinking with Ot</title>
      <description>In this episode of the Super Data Science Podcast, I chat with Business Analyst Ot Ratsaphong. You will learn about how data science is used in government works, get to revisit left brain versus right brain, and gain more insights about artistic/lateral thinking.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/19</description>
      <pubDate>Thu, 12 Jan 2017 23:25:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3b0e3f86-1c34-11ef-9765-27b5370139f0/image/5a26db53f7be51a6fd04c49e2910aa60.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Learn how data science is used in government works, get to revisit left brain versus right brain, and gain more insights about artistic/lateral thinking.</itunes:subtitle>
      <itunes:summary>In this episode of the Super Data Science Podcast, I chat with Business Analyst Ot Ratsaphong. You will learn about how data science is used in government works, get to revisit left brain versus right brain, and gain more insights about artistic/lateral thinking.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/19</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the Super Data Science Podcast, I chat with Business Analyst Ot Ratsaphong. You will learn about how data science is used in government works, get to revisit left brain versus right brain, and gain more insights about artistic/lateral thinking.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/19">www.superdatascience.com/19</a></p>]]>
      </content:encoded>
      <itunes:duration>3503</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/302426045]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8640930036.mp3?updated=1720612688" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>018: 20 Years in Data Analytics, Entrepreneurship, and Megatrends in Data with Jen Underwood</title>
      <description>In this episode of the Super Data Science Podcast, I chat with Analytics Industry Expert Jen Underwood. You will learn about the 6 megatrends in data, get more insights about entrepreneurship and know about Jen's wealthy experiences in the world of data analytics for two decades.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/18</description>
      <pubDate>Thu, 05 Jan 2017 23:09:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3b91449e-1c34-11ef-9765-5f97a4920711/image/03131c34fb77356e5d91e00e41363d16.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Learn about the 6 megatrends in data, get more insights about entrepreneurship and know about Jen's wealthy experiences in the world of data analytics for two decades.</itunes:subtitle>
      <itunes:summary>In this episode of the Super Data Science Podcast, I chat with Analytics Industry Expert Jen Underwood. You will learn about the 6 megatrends in data, get more insights about entrepreneurship and know about Jen's wealthy experiences in the world of data analytics for two decades.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/18</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the Super Data Science Podcast, I chat with Analytics Industry Expert Jen Underwood. You will learn about the 6 megatrends in data, get more insights about entrepreneurship and know about Jen's wealthy experiences in the world of data analytics for two decades.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/18">www.superdatascience.com/18</a></p>]]>
      </content:encoded>
      <itunes:duration>3570</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/301127777]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2033884026.mp3?updated=1720612656" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>017: Partitioning, Roles in Database Infrastructure and SQL Databases with Colin Sloss</title>
      <description>In this episode of the Super Data Science Podcast, I chat with Data Engineer Colin Sloss. You will know about horizontal partitioning at Skype, discover the different roles in database infrastructure and learn the different types of SQL database.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/17</description>
      <pubDate>Fri, 30 Dec 2016 00:08:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3c0c82da-1c34-11ef-9765-27a939c6ddd8/image/f6ade08a4661e4cbcb26f530df91eb07.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Learn about horizontal partitioning at Skype, discover the different roles in database infrastructure and learn the different types of SQL database.</itunes:subtitle>
      <itunes:summary>In this episode of the Super Data Science Podcast, I chat with Data Engineer Colin Sloss. You will know about horizontal partitioning at Skype, discover the different roles in database infrastructure and learn the different types of SQL database.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/17</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the Super Data Science Podcast, I chat with Data Engineer Colin Sloss. You will know about horizontal partitioning at Skype, discover the different roles in database infrastructure and learn the different types of SQL database.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/17">www.superdatascience.com/17</a></p>]]>
      </content:encoded>
      <itunes:duration>3980</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/300122807]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8690487742.mp3?updated=1720612622" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>016: Data-Driven Operations, Consulting Approaches, and Mentoring with Richard Hopkins</title>
      <description>In this episode of the Super Data Science Podcast, I chat with Director at PricewaterhouseCoopers Richard Hopkins. You will know how data drives business operations, learn about bottom-up and top-down consulting approaches and get insights about mentoring.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/16</description>
      <pubDate>Thu, 22 Dec 2016 23:33:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3c964330-1c34-11ef-9765-6398131b9a9f/image/d4ba3373ed17579884ec9b8be2148e76.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Know how data drives business operations, learn about bottom-up and top-down consulting approaches and get insights about mentoring.</itunes:subtitle>
      <itunes:summary>In this episode of the Super Data Science Podcast, I chat with Director at PricewaterhouseCoopers Richard Hopkins. You will know how data drives business operations, learn about bottom-up and top-down consulting approaches and get insights about mentoring.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/16</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the Super Data Science Podcast, I chat with Director at PricewaterhouseCoopers Richard Hopkins. You will know how data drives business operations, learn about bottom-up and top-down consulting approaches and get insights about mentoring.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/16">www.superdatascience.com/16</a></p>]]>
      </content:encoded>
      <itunes:duration>3582</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/299219156]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1871990413.mp3?updated=1720611715" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>015: Side Income, Stoic Philosophy, and the Importance of QA with Paul Brown</title>
      <description>In this episode of the Super Data Science Podcast, I chat with Data Science Enthusiast Paul Brown. You will learn about data science for side income, discover what is stoic philosophy and know the importance of QA.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/15</description>
      <pubDate>Sat, 17 Dec 2016 21:03:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3d03c7b6-1c34-11ef-9765-fbb1c313c145/image/7a82f35fcb41eb1dcf2e835098e800ea.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Learn about data science for side income, discover what is stoic philosophy and know the importance of QA.</itunes:subtitle>
      <itunes:summary>In this episode of the Super Data Science Podcast, I chat with Data Science Enthusiast Paul Brown. You will learn about data science for side income, discover what is stoic philosophy and know the importance of QA.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/15</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the Super Data Science Podcast, I chat with Data Science Enthusiast Paul Brown. You will learn about data science for side income, discover what is stoic philosophy and know the importance of QA.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/15">www.superdatascience.com/15</a></p>]]>
      </content:encoded>
      <itunes:duration>3621</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/298390735]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9606722448.mp3?updated=1720611683" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>014: Credit Scoring Models, the Law of Large Numbers, and Model Building with Greg Poppe</title>
      <description>In this episode of the SuperDataScience Podcast, I chat with Senior Vice President of Risk Management, Greg Poppe. You will get to know about credit scoring models, learn the law of large numbers and get more insights on model building.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/14</description>
      <pubDate>Mon, 12 Dec 2016 00:28:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3d947144-1c34-11ef-9765-439a3400999d/image/4318c11f9e0ef48a4c4da02c7c672f69.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Get to know about credit scoring models, learn the law of large numbers and get more insights on model building.</itunes:subtitle>
      <itunes:summary>In this episode of the SuperDataScience Podcast, I chat with Senior Vice President of Risk Management, Greg Poppe. You will get to know about credit scoring models, learn the law of large numbers and get more insights on model building.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/14</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the SuperDataScience Podcast, I chat with Senior Vice President of Risk Management, Greg Poppe. You will get to know about credit scoring models, learn the law of large numbers and get more insights on model building.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/14">www.superdatascience.com/14</a></p>]]>
      </content:encoded>
      <itunes:duration>4152</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/297457670]]></guid>
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    </item>
    <item>
      <title>013: 95% Accuracy Models, Winning People Over, and Saving Lives with Damian Mingle</title>
      <description>In this episode of the Super Data Science Podcast, I chat with Chief Data Scientist Damian R Mingle. You will learn how to build models with 95% accuracy rates, know the 3 top tips on quick wins and winning people over; and get ideas on how to save lives with data science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/13</description>
      <pubDate>Thu, 01 Dec 2016 23:03:00 -0000</pubDate>
      <itunes:title>013: 95% Accuracy Models, Winning People Over, and Saving Lives with Damian Mingle</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3e1256fe-1c34-11ef-9765-ab70b8001354/image/8cac5090b11f1949eed20bfdb3ce9421.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Learn how to build models with 95% accuracy rates, know the 3 top tips on quick wins and winning people over; and get ideas on how to save lives with data science.</itunes:subtitle>
      <itunes:summary>In this episode of the Super Data Science Podcast, I chat with Chief Data Scientist Damian R Mingle. You will learn how to build models with 95% accuracy rates, know the 3 top tips on quick wins and winning people over; and get ideas on how to save lives with data science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/13</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the Super Data Science Podcast, I chat with Chief Data Scientist Damian R Mingle. You will learn how to build models with 95% accuracy rates, know the 3 top tips on quick wins and winning people over; and get ideas on how to save lives with data science.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/13">www.superdatascience.com/13</a></p>]]>
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      <itunes:duration>3759</itunes:duration>
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    </item>
    <item>
      <title>SDS Special : Giving Up Coffee, IQ vs EQ and Asking the Right Questions with Vitaly Dolgov</title>
      <description>In this special episode of the Super Data Science Podcast, I chat with my friend and one of the World’s leading business turnaround consultants Vitaly Dolgov. You will get to listen to one of our casual chats. You will know the reason why Vitaly started giving up coffee, learn insights about IQ vs EQ and get ideas on his effective business coaching techniques.If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/special</description>
      <pubDate>Wed, 23 Nov 2016 22:26:22 -0000</pubDate>
      <itunes:title>SDS Special : Giving Up Coffee, IQ vs EQ and Asking the Right Questions with Vitaly Dolgov</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3eaf92b6-1c34-11ef-9765-137bd6833a74/image/f6deba8c2f6097cab4237e9b52ee11cf.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this special episode of the Super Data Science Podcast, I chat with my friend and one of the World’s leading business turnaround consultants Vitaly Dolgov. You will get to listen to one of our casual chats. You will know the reason why Vitaly started giving up coffee, learn insights about IQ vs EQ and get ideas on his effective business coaching techniques.If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/special</itunes:subtitle>
      <itunes:summary>In this special episode of the Super Data Science Podcast, I chat with my friend and one of the World’s leading business turnaround consultants Vitaly Dolgov. You will get to listen to one of our casual chats. You will know the reason why Vitaly started giving up coffee, learn insights about IQ vs EQ and get ideas on his effective business coaching techniques.If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/special</itunes:summary>
      <content:encoded>
        <![CDATA[In this special episode of the Super Data Science Podcast, I chat with my friend and one of the World’s leading business turnaround consultants Vitaly Dolgov. You will get to listen to one of our casual chats. You will know the reason why Vitaly started giving up coffee, learn insights about IQ vs EQ and get ideas on his effective business coaching techniques.If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/special]]>
      </content:encoded>
      <itunes:duration>1457</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>012: Online Learning, Tableau Insights and Ad Hoc Analytics with Megan Putney</title>
      <description>In this session of the Super Data Science Podcast, I chat with Up and Rising Tableau Expert Megan Putney. Learn how Megan started with Tableau through online learning, learn about Ad Hoc Analytics and gain some powerful Tableau insights.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/12</description>
      <pubDate>Tue, 22 Nov 2016 01:47:00 -0000</pubDate>
      <itunes:title>012: Online Learning, Tableau Insights and Ad Hoc Analytics with Megan Putney</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4948733c-1c34-11ef-9765-7f57921eaf7f/image/397625f5c007b1c2d65be7c67306c397.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Learn how Megan started with Tableau through online learning, learn about Ad Hoc Analytics and gain some powerful Tableau insights.</itunes:subtitle>
      <itunes:summary>In this session of the Super Data Science Podcast, I chat with Up and Rising Tableau Expert Megan Putney. Learn how Megan started with Tableau through online learning, learn about Ad Hoc Analytics and gain some powerful Tableau insights.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/12</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this session of the Super Data Science Podcast, I chat with Up and Rising Tableau Expert Megan Putney. Learn how Megan started with Tableau through online learning, learn about Ad Hoc Analytics and gain some powerful Tableau insights.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/12">www.superdatascience.com/12</a></p>]]>
      </content:encoded>
      <itunes:duration>2847</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>011: Learning Resources, Thinking Like a Data Scientist and Data Exploration with Garth Zoller</title>
      <description>In this session of the Super Data Science Podcast, I chat with Aspiring Data Scientist Garth Zoller. You will know how a creative person ends up in data science, discover how organisations build a culture of data science and be able to walk through an interesting case study on how Garth deals with vague business problems.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/11</description>
      <pubDate>Thu, 17 Nov 2016 23:08:00 -0000</pubDate>
      <itunes:title>011: Learning Resources, Thinking Like a Data Scientist and Data Exploration with Garth Zoller</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/5178bb02-1c34-11ef-9765-7f4f8af9740a/image/ac8ef390de1921669698fe3c4eee337c.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>You will know how a creative person ends up in data science, discover how organisations build a culture of data science and be able to walk through an interesting case study on how Garth deals with vague business problems.</itunes:subtitle>
      <itunes:summary>In this session of the Super Data Science Podcast, I chat with Aspiring Data Scientist Garth Zoller. You will know how a creative person ends up in data science, discover how organisations build a culture of data science and be able to walk through an interesting case study on how Garth deals with vague business problems.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/11</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this session of the Super Data Science Podcast, I chat with Aspiring Data Scientist Garth Zoller. You will know how a creative person ends up in data science, discover how organisations build a culture of data science and be able to walk through an interesting case study on how Garth deals with vague business problems.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/11">www.superdatascience.com/11</a></p>]]>
      </content:encoded>
      <itunes:duration>3873</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/293556904]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7143556925.mp3?updated=1720611605" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>010: Model Validation, Data Exhaust and Organisational Cultural Change with Yaw Tan</title>
      <description>In this session of the Super Data Science Podcast, I chat with Senior Data Scientist Yaw Tan. You will learn about model validation and a lot more about modelling, get to know about the power of data exhaust and hear some thoughts about cultural change in organisations.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/10</description>
      <pubDate>Thu, 10 Nov 2016 23:00:00 -0000</pubDate>
      <itunes:title>010: Model Validation, Data Exhaust and Organisational Cultural Change with Yaw Tan</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/59964cf0-1c34-11ef-9765-d3f1bdf2b208/image/a5649b30b5fe7c83a212c2793e5931b1.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Learn about model validation and a lot more about modelling, get to know about the power of data exhaust and hear some thoughts about cultural change in organisations.</itunes:subtitle>
      <itunes:summary>In this session of the Super Data Science Podcast, I chat with Senior Data Scientist Yaw Tan. You will learn about model validation and a lot more about modelling, get to know about the power of data exhaust and hear some thoughts about cultural change in organisations.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/10</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this session of the Super Data Science Podcast, I chat with Senior Data Scientist Yaw Tan. You will learn about model validation and a lot more about modelling, get to know about the power of data exhaust and hear some thoughts about cultural change in organisations.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/10">https://www.superdatascience.com/10</a></p>]]>
      </content:encoded>
      <itunes:duration>3849</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/292464033]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2656972753.mp3?updated=1717502057" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>009: Neuroscience, Machine Learning and Moore’s Law with Muhsin Karim, Phd</title>
      <description>In this session of the Super Data Science Podcast, I chat with Neuroscience PhD Turned Retail Data Analyst Muhsin Karim. You will know what is neuroscience, learn more about machine learning and discover some surprising implications from Moore’s Law.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/9</description>
      <pubDate>Thu, 03 Nov 2016 23:00:00 -0000</pubDate>
      <itunes:title>009: Neuroscience, Machine Learning and Moore’s Law with Muhsin Karim, Phd</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/60c5cd02-1c34-11ef-9765-335b4f751e81/image/0c9ff30ca48468cbdb599fec12b39074.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Know what is neuroscience, learn more about machine learning and discover some surprising implications from Moore’s Law.</itunes:subtitle>
      <itunes:summary>In this session of the Super Data Science Podcast, I chat with Neuroscience PhD Turned Retail Data Analyst Muhsin Karim. You will know what is neuroscience, learn more about machine learning and discover some surprising implications from Moore’s Law.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/9</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this session of the Super Data Science Podcast, I chat with Neuroscience PhD Turned Retail Data Analyst Muhsin Karim. You will know what is neuroscience, learn more about machine learning and discover some surprising implications from Moore’s Law.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/9">https://www.superdatascience.com/9</a></p>]]>
      </content:encoded>
      <itunes:duration>3583</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>008: Data Science in Computer Games, Learning to Learn and a 40M Euro Case Study with Ulf Morys</title>
      <description>In this session of the Super Data Science Podcast, I chat with Ubisoft Finance Director Ulf Morys. You will learn what data science is in computer games, how to build a data landscape and know what are the different ways of using data to save millions.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/8</description>
      <pubDate>Fri, 28 Oct 2016 01:28:00 -0000</pubDate>
      <itunes:title>008: Data Science in Computer Games, Learning to Learn and a 40M Euro Case Study with Ulf Morys</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/64166e62-1c34-11ef-9765-47a990496ebd/image/7b32cb44f4383b7b43b8371d973ef42a.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Learn what data science is in computer games, how to build a data landscape and know what are the different ways of using data to save millions.</itunes:subtitle>
      <itunes:summary>In this session of the Super Data Science Podcast, I chat with Ubisoft Finance Director Ulf Morys. You will learn what data science is in computer games, how to build a data landscape and know what are the different ways of using data to save millions.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/8</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this session of the Super Data Science Podcast, I chat with Ubisoft Finance Director Ulf Morys. You will learn what data science is in computer games, how to build a data landscape and know what are the different ways of using data to save millions.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/8">https://www.superdatascience.com/8</a></p>]]>
      </content:encoded>
      <itunes:duration>3719</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/290327187]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7926426932.mp3?updated=1717501931" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>007: Advanced Analytics, Dynamic Simulations and Consulting World-wide with Artem Vladimirov</title>
      <description>In this session of the Super Data Science Podcast, I chat with Top Analytics Consultant, Artem Vladimirov. You will learn about advanced analytics, get to know about what dynamic simulation is and learn some tips on how to get with data science.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/7</description>
      <pubDate>Fri, 21 Oct 2016 02:18:00 -0000</pubDate>
      <itunes:title>007: Advanced Analytics, Dynamic Simulations and Consulting World-wide with Artem Vladimirov</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/64907824-1c34-11ef-9765-3b30584f1947/image/d1aab7d0346f3c23614abc67a1548e3b.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this session of the Super Data Science Podcast, I chat with Top Analytics Consultant, Artem Vladimirov. You will learn about advanced analytics, get to know about what dynamic simulation is and learn some tips on how to get with data science.If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/7</itunes:subtitle>
      <itunes:summary>In this session of the Super Data Science Podcast, I chat with Top Analytics Consultant, Artem Vladimirov. You will learn about advanced analytics, get to know about what dynamic simulation is and learn some tips on how to get with data science.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/7</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this session of the Super Data Science Podcast, I chat with Top Analytics Consultant, Artem Vladimirov. You will learn about advanced analytics, get to know about what dynamic simulation is and learn some tips on how to get with data science.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/7">https://www.superdatascience.com/7</a></p>]]>
      </content:encoded>
      <itunes:duration>4030</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/289247232]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6477401720.mp3?updated=1717501887" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>006: Financial Modeling and Data Science, Inputs vs Assumptions and Going Big with Xinran Liu</title>
      <description>In this session of the Super Data Science Podcast, I chat with Expert Financial Modeler Xinran Liu. You will learn about Financial Modeling, how Data Scientists can get into this space, the difference between inputs and assumptions and more.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/6</description>
      <pubDate>Sun, 16 Oct 2016 21:48:00 -0000</pubDate>
      <itunes:title>006: Financial Modeling and Data Science, Inputs vs Assumptions and Going Big with Xinran Liu</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/651313a6-1c34-11ef-9765-cf1a619d621a/image/634d008e96c580074585ca3130ef8734.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Learn about Financial Modeling, how Data Scientists can get into this space, the difference between inputs and assumptions and more.</itunes:subtitle>
      <itunes:summary>In this session of the Super Data Science Podcast, I chat with Expert Financial Modeler Xinran Liu. You will learn about Financial Modeling, how Data Scientists can get into this space, the difference between inputs and assumptions and more.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/6</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this session of the Super Data Science Podcast, I chat with Expert Financial Modeler Xinran Liu. You will learn about Financial Modeling, how Data Scientists can get into this space, the difference between inputs and assumptions and more.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/6">https://www.superdatascience.com/6</a></p>]]>
      </content:encoded>
      <itunes:duration>3219</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[tag:soundcloud,2010:tracks/288447397]]></guid>
      <enclosure url="https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8272522651.mp3?updated=1717501832" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>005: Computer Forensics, Fraud Analytics And Knowing When To Take A Break With Dmitry Korneev</title>
      <description>In this session of the Super Data Science Podcast, I chat with Forensics Investigator Dmitry Korneev. You will learn about Computer Forensics, what Fraud Analytics actually is and we will discuss how to know when to take a break from work.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/5</description>
      <pubDate>Sun, 09 Oct 2016 13:51:00 -0000</pubDate>
      <itunes:title>005: Computer Forensics, Fraud Analytics And Knowing When To Take A Break With Dmitry Korneev</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6593071e-1c34-11ef-9765-93e579194a12/image/bc112cdf01ec7e83fa87c177dbb3657d.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Learn about Computer Forensics, what Fraud Analytics actually is and how to know when to take a break from work.</itunes:subtitle>
      <itunes:summary>In this session of the Super Data Science Podcast, I chat with Forensics Investigator Dmitry Korneev. You will learn about Computer Forensics, what Fraud Analytics actually is and we will discuss how to know when to take a break from work.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/5</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this session of the Super Data Science Podcast, I chat with Forensics Investigator Dmitry Korneev. You will learn about Computer Forensics, what Fraud Analytics actually is and we will discuss how to know when to take a break from work.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/5">https://www.superdatascience.com/5</a></p>]]>
      </content:encoded>
      <itunes:duration>3827</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>004: Data and Strategy, Three Pillars of Research and Building your Career with Brendan Hogan</title>
      <description>In this session of the Super Data Science Podcast, I chat with business strategy expert Brendan Hogan. You will learn how he uses Data to alter strategy of businesses, you will learn about the three pillars of research and how to build a successful career from your strengths.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/4</description>
      <pubDate>Sun, 02 Oct 2016 06:33:00 -0000</pubDate>
      <itunes:title>004: Data and Strategy, Three Pillars of Research and Building your Career with Brendan Hogan</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6605de10-1c34-11ef-9765-530b0aab7a44/image/0f4e4c0dcd2c0281dd31d1b25d3259aa.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Learn how to use data to alter strategy of businesses, what are the three pillars of research and how to build a successful career from your strengths.</itunes:subtitle>
      <itunes:summary>In this session of the Super Data Science Podcast, I chat with business strategy expert Brendan Hogan. You will learn how he uses Data to alter strategy of businesses, you will learn about the three pillars of research and how to build a successful career from your strengths.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/4</itunes:summary>
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        <![CDATA[<p>In this session of the Super Data Science Podcast, I chat with business strategy expert Brendan Hogan. You will learn how he uses Data to alter strategy of businesses, you will learn about the three pillars of research and how to build a successful career from your strengths.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/4</p>]]>
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      <title>003: Defining the Data Problem, Academia vs Career and R Modeling Libraries with Dr. Wilson Pok</title>
      <description>In this session of the Super Data Science Podcast, I chat with Nano Science PHD turned Data Scientist Dr Wilson Pok. You will learn about the importance of defining business problems, a scientific approach to thinking about data analytics and more.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/3</description>
      <pubDate>Sun, 25 Sep 2016 14:56:00 -0000</pubDate>
      <itunes:title>003: Defining the Data Problem, Academia vs Career and R Modeling Libraries with Dr. Wilson Pok</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
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      <itunes:subtitle>Learn about the importance of defining business problems, a scientific approach to thinking about data analytics and more.</itunes:subtitle>
      <itunes:summary>In this session of the Super Data Science Podcast, I chat with Nano Science PHD turned Data Scientist Dr Wilson Pok. You will learn about the importance of defining business problems, a scientific approach to thinking about data analytics and more.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/3</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this session of the Super Data Science Podcast, I chat with Nano Science PHD turned Data Scientist Dr Wilson Pok. You will learn about the importance of defining business problems, a scientific approach to thinking about data analytics and more.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/3">https://www.superdatascience.com/3</a></p>]]>
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      <itunes:duration>3214</itunes:duration>
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      <title>002: Machine Learning, Recommender Systems and The Future of Data with Hadelin de Ponteves</title>
      <description>In this session of the Super Data Science Podcast, I chat with machine learning expert Hadelin de Ponteves about his work at Google, Canal+ and what career implications may come from the rapid growth of the Data Science field.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/2</description>
      <pubDate>Wed, 14 Sep 2016 16:01:00 -0000</pubDate>
      <itunes:title>002: Machine Learning, Recommender Systems and The Future of Data with Hadelin de Ponteves</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/66f3ca1c-1c34-11ef-9765-5f511ec7ec33/image/bfd14d92d8954d0fd03a1222983ed562.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this session of the Super Data Science Podcast, I chat with machine learning expert Hadelin de Ponteves about his work at Google, Canal+ and what career implications may come from the rapid growth of the Data Science field.</itunes:subtitle>
      <itunes:summary>In this session of the Super Data Science Podcast, I chat with machine learning expert Hadelin de Ponteves about his work at Google, Canal+ and what career implications may come from the rapid growth of the Data Science field.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/2</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this session of the Super Data Science Podcast, I chat with machine learning expert Hadelin de Ponteves about his work at Google, Canal+ and what career implications may come from the rapid growth of the Data Science field.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/2">https://www.superdatascience.com/2</a></p>]]>
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      <itunes:duration>3070</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <title>001: Self-serve Analytics, Data Science MBA and Managing a Team of Analysts with Ruben Kogel</title>
      <description>In this session of the Super Data Science Podcast, I chat with Ruben Kogel who has done some amazing data analytics in the startup space.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/1</description>
      <pubDate>Sat, 10 Sep 2016 14:08:00 -0000</pubDate>
      <itunes:title>001: Self-serve Analytics, Data Science MBA and Managing a Team of Analysts with Ruben Kogel</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Jon Krohn</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6769a9e4-1c34-11ef-9765-73a6a230f30b/image/d0a597c69a80023b4afb2c844dbb4070.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>In this session of the Super Data Science Podcast, I chat with Ruben Kogel who has done some amazing data analytics in the startup space.</itunes:subtitle>
      <itunes:summary>In this session of the Super Data Science Podcast, I chat with Ruben Kogel who has done some amazing data analytics in the startup space.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/1</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this session of the Super Data Science Podcast, I chat with Ruben Kogel who has done some amazing data analytics in the startup space.</p><p><br></p><p>If you enjoyed this episode, check out show notes, resources, and more at <a href="https://www.superdatascience.com/1">https://www.superdatascience.com/1</a></p>]]>
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      <itunes:duration>2530</itunes:duration>
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