
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 conversa... more
| Publishes | Twice weekly | Episodes | 1038 | Founded | 10 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyScience | |||

In Episode #1037, Dr. Richard Socher (CEO and Co-Founder of Recursive) joins Jon Krohn to make the case for automating the scientific method itself. Richard’s startup came out of stealth this year with over half a billion dollars raised to build recu... more
In Episode #1036, Jon Krohn digs into the question parents and teachers keep asking: does AI stop children from learning? Drawing on a wave of new studies, he shows the answer turns entirely on how AI is used, as a shortcut that outsources the thinki... more
In Episode #1035, Carly Taylor (Founder of Rebel Data Science) returns to join Jon Krohn for a wide-ranging conversation about leading engineering teams when the ground keeps moving. Carly shipped nine Call of Duty titles in roughly five years at Act... more
In ICYMI Episode #1034, Jon Krohn moves from what sits underneath AI systems to what it takes to live with them every day. Hear from Aishwarya Srinivasan, Luis Serrano, Katie Malone, Ish Shah and Dilani Kahawala, discussing why the bottleneck in ship... more
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Love the work you do on this podcast! Returning to this community after years and super happy to see how much it has grown!
Jon Krohn is great!!!
I have been listening to this podcast for over a year, and it is one of my favorite podcasts: informative, guests with r/l expertise and varied backgrounds, leading edge developments, and the host approaches topics both with curiosity, knowledge, and academic objectivity. I would recommend to anyone who wants to learn more about AI-and who doesn’t?
Been listening to this podcast for a year or so..not an engineer..but I learn SO much!
One of the few data science podcasts I listen to not just for work.
Jon brings a rare mix of technical depth, curiosity, openness, and humility. In a field that often feels too focused on hype and money, this podcast feels different.
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The show centers on practical, hands-on discussions at the intersection of data science, AI, and real-world applications. Episodes frequently explore how to deploy models responsibly, optimize data workflows, and translate technical insights into business impact. Guests range from hands-on practitioners to thought leaders, covering technical depth, career development, governance, and AI strategy. A recurring strength is translating complex concepts into actionable guidance, with clear emphasis on ROI, product impact, and ethical considerations. The format often features concrete case studies, tooling discussions, and career advice, making it valuable for practitioners, engineers, and data leaders looking to stay current without losing sight... more
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These podcasts share a similar audience with Super Data Science: ML & AI Podcast:
1. The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
2. Practical AI
3. Last Week in AI
4. DataFramed
5. The AI Daily Brief: Artificial Intelligence News and Analysis
Super Data Science: ML & AI Podcast launched 10 years ago and published 1038 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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Recent guests on Super Data Science: ML & AI Podcast include:
1. Kate Niederhoffer
2. Jeff Hancock
3. Michael Andrew
4. Ish Shah
5. Tyler Cox
6. Gaurav Pathak
7. Katie Malone
8. Anton McGonnell
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