
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 | 1032 | Founded | 10 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyScience | |||

In Episode #1031, Ish Shah and Tyler Cox (Distinguished Engineers in the Office of the CTO for Dell Technologies' client group) join Jon Krohn to work out why agentic AI bills are exploding and what can be done about it. Over one weekend Ish burned r... more
During their #sponsored discussion, Senior Vice President Product Management AI and Metadata at Salesforce, Gaurav Pathak talks to Jon Krohn about why AI agents need well-labeled, high-quality data to deliver reliable answers in the enterprise. Liste... more
In Episode #1029, Dr. Katie Malone (Host of Linear Digressions) joins Jon Krohn to explain how AI brought her podcast back from the dead. After nearly 300 episodes, Katie shut down Linear Digressions due to burnout, but better tools helped her relaun... more
In Episode #1028, Anton McGonnell (VP of Product at SambaNova) joins Jon Krohn to explain why the chips running most AI inference today were never designed for the job. Agentic AI has changed the computational profile of inference, with much larger i... 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.
Key themes from listener reviews, highlighting what works and what could be improved about the show.
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Apple Podcasts | #36 |
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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. DataFramed
4. Last Week in AI
5. Training Data
Super Data Science: ML & AI Podcast launched 10 years ago and published 1032 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. Gaurav Pathak
2. Katie Malone
3. Anton McGonnell
4. Dilani Kahawala
5. Luis Serrano
6. Aishwarya Srinivasan
7. Tristan Handy
8. Priyanka Vergadia
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