
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 | Daily | Episodes | 1021 | Founded | 10 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyScience | |||

In Episode #1020, Jon Krohn unpacks the two dials that increasingly decide what you get out of a large language model: which model size you pick and how much effort you tell it to spend. Using a July Anthropic blog post by Claude Code’s Lydia Holly a... more
In Episode #1019, Priyanka Vergadia (founder of The Cloud Girl, former Senior Director of AI Transformation at Microsoft and Head of North America Developer Relations at Google) joins Jon Krohn to explain why almost every company has bought AI tools ... more
In Episode #1018, Jon Krohn breaks down Qwen3.8-Max, Alibaba’s enormous new flagship, a 2.4-trillion-parameter mixture-of-experts model that, if its promised weights ship, becomes the largest open-weight release in history. Landing just weeks after M... more
In Episode #1017, Pete Johnson (Field CTO of AI at MongoDB) joins Jon Krohn to explain why four out of five organizations have AI steering committees and success metrics, yet only one in five sees a return on the investment. Having made nineteen stop... more
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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.
You know how we all have that one podcast that we go to when we need consistently valuable information but don’t have a lot of time? For me, it’s the Super Data Science ML & AI Podcast. Hands down, my go to source for keeping a pulse on what matters. The content is always timely and speaks grounded truth for practitioners. I’ve learned more from this podcast than any other source available. Times I’ve regretted listening with my free time: 0 - Thank you!
One of the most high-quality and practical AI podcasts out there. This show creates space for both deep, technical, thoughtful discussion as well as genuine human moments, like navigating ambition, burnout, and the personal realities of being a go-getter in this space.
I’ve been listening for the past two years and consistently walk away learning something new and feeling inspired. It’s clear how much care goes into making this a valuable resource for anyone thinking seriously about AI and its... more
Love the show so much!
I do wish the episode links worked from Apple Podcasts.
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This show consistently covers practical AI, ML, and data science topics with a strong focus on real-world applications, tooling, and career growth. Episodes frequently explore how to build, deploy, and govern AI systems in enterprise settings, with attention to memory, agent-based workflows, and data governance. Guests span industry practitioners, product and platform leaders, and researchers who share actionable insights, case studies, and frameworks that listeners can apply to their own teams. A standout aspect is the blend of hands-on engineering discussions with strategic governance and security considerations, making it valuable for both individual contributors and decision-makers exploring AI-powered transformations.
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1. Practical AI
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5. Machine Learning Street Talk (MLST)
Super Data Science: ML & AI Podcast launched 10 years ago and published 1021 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. Pete Johnson
2. Cathy O'Neil
3. Dr. Catherine Williams
4. Steve Mock
5. Benjamin Todd
6. Gilbert Eijkelenboom
7. Frank Basso
8. Jon Krohn
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