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Super Data Science: ML & AI Podcast with Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn

1,032 episodesEN

Show overview

Super Data Science: ML & AI Podcast with Jon Krohn has been publishing since 2016, and across the 10 years since has built a catalogue of 1,032 episodes. That works out to roughly 730 hours of audio in total. Releases follow a several-times-a-week cadence.

Episodes typically run thirty-five to sixty minutes — most land between 10 min and 1h 9m — with run-times ranging widely across the catalogue. None of the episodes are flagged explicit by the publisher. It is catalogued as a EN-language Technology show.

The show is actively publishing — the most recent episode landed 2 days ago, with 78 episodes already out so far this year. Published by Jon Krohn.

Episodes
1,032
Running
2016–2026 · 10y
Median length
47 min
Cadence
Several per week

From the publisher

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.

1031: Tokenomics: Why Your Agentic AI Bill Is Exploding (and How to Fix It), with Tyler Cox and Ish Shah

Sep 29, 20261h 15m

1030: Garbage In, Gospel Out: Why Agents Need Better Data, with Salesforce's Gaurav Pathak

Sep 25, 202622 min

1029: How AI Brought a Podcast Back From the Dead, with Linear Digressions’ Katie Malone

Sep 22, 20261h 10m

1028: The Chip Built for Agentic AI Inference, with SambaNova's Anton McGonnell

Sep 18, 202629 min

1027: Building an Always-On AI Agent for Busy Parents, with Dr. Dilani Kahawala

Sep 15, 20261h 2m

1026: OpenAI’s GPT-6 Astra

Sep 11, 202619 min

1025: Word Gravity: How Transformers Bend Space, with Dr. Luis Serrano

Sep 8, 20261h 10m

1024: In Case You Missed It in August 2026

Sep 4, 202634 min

1023: Agentic AI Skills That Matter Now, with Aishwarya Srinivasan

Sep 1, 20261h 18m

1022: CLAUDE.md, AGENTS.md, Skills, Hooks and Subagents: A Field Guide to Steering AI Agents

Aug 28, 202617 min

1021: How dbt Won Analytics Engineering, with dbt Lab’s CEO Tristan Handy

Aug 25, 202651 min

1020: How to Choose Model Size and Effort Level: The Two Critical Dials

Aug 21, 202616 min

1019: Anyone Can Write Code Now, So What Gets You Hired? (With Priyanka Vergadia)

Aug 18, 202659 min

1018: Alibaba's Qwen3.8-Max: Open-Weight Model Surpasses Most American Frontier Labs

Aug 14, 202612 min

1017: Vector Search, Agentic Memory and Effective RAG, with MongoDB’s Pete Johnson

Aug 11, 202657 min

1016: In Case You Missed It in July 2026

Aug 7, 202630 min

1015: Mathematical Optimization in the Agentic AI Era, with Gurobi's Jerry Yurchisin

Aug 4, 20261h 18m

1014: OpenAI Agent Breaches Hugging Face: All You Must Know incl. How to Protect Yourself

Jul 31, 202620 min

1013: Weapons of Math Destruction, Ten Years On, with Dr. Cathy O’Neil

Jul 28, 20261h 24m

1012: The Open-Weight 2.8-Trillion Parameter Competing at the Frontier

Jul 24, 202612 min
© 2024 Super Data Science: ML & AI Podcast with Jon Krohn