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Artwork for Super Data Science: ML & AI Podcast

Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
Data Science
Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Data Analytics
Agentic AI
AI Agents
Openai
Job Applications
Quantum Computing
Natural Language Processing
AWS
Anthropic
Mathematical Optimization
Foundation Models
Education
Pytorch
Polars
Automation

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

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Artwork for Super Data Science: ML & AI Podcast

Latest Episodes

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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Recent Guests

Pete Johnson
Field CTO of AI at MongoDB
MongoDB
Episode: 1017: Vector Search, Agentic Memory and Effective RAG, with MongoDB’s Pete Johnson
Cathy O'Neil
Harvard-trained mathematician, author, and activist focused on auditing algorithms
Orcaa, Ocean, AI Skeptics Podcast
Episode: 1013: Weapons of Math Destruction, Ten Years On, with Dr. Cathy O’Neil
Dr. Catherine Williams
Chief Data Officer at Candid
Candid
Episode: 1011: The Math Still Matters: Deep Skills in the Age of AI, with Dr. Catherine Williams
Steve Mock
Investor at Blumberg Capital; entrepreneur and creator of aisavedme.org
Blumberg Capital; aisavedme.org
Episode: 1009: How AI Is Quietly Saving Lives, with Steve Mock
Benjamin Todd
Founder and co-founder of 80,000 Hours
80,000 Hours
Episode: 1007: How to Find Solid Career Ground in the AI Era, with 80,000 Hours Founder Ben Todd
Gilbert Eijkelenboom
Author of People Skills for Analytical Thinkers; founder of MindSpeaking
MindSpeaking
Episode: 1005: People Skills for Analytical Thinkers, with Bestselling Author Gilbert Eijkelenboom
Frank Basso
Vice President of Infrastructure, Lightning AI
Lightning AI
Episode: 1003: Building an AI Data Center End to End, with Lightning AI’s Frank Basso
Jon Krohn
Host of the show; neuroscientist-turned-AI educator and entrepreneur
Episode: 1001: How AI Erased My Career Moat, an Episode #1001 Special: Jon Krohn interviewed by Kirill Eremenko
Josh Jansen
Instructors and bootcamp alumnus
Y Carrot / Bootcamp Alumni
Episode: 1000: Ten Years of the Super Data Science Podcast, with Jon, Kirill and Special Guests

Host

Jon Krohn
Host of the show

Reviews

4.7 out of 5 stars from 863 ratings
  • My go-to favorite

    Been listening to this podcast for a year or so..not an engineer..but I learn SO much!

    Apple Podcasts
    5
    CivilServiceIT
    United Statesa month ago
  • One of the few I listen to by choice

    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.

    Apple Podcasts
    5
    Guilhermesfc
    Denmark2 months ago
  • The only AI podcast you need

    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!

    Apple Podcasts
    5
    Thelizzzzw
    United States5 months ago
  • High Quality AI, High Quality Human

    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

    Apple Podcasts
    5
    Hadassah02
    United States7 months ago
  • Links pls

    Love the show so much!

    I do wish the episode links worked from Apple Podcasts.

    Apple Podcasts
    5
    jorygonian
    United States7 months ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Listeners appreciate technical depth balanced with accessible explanations and stories.
People value practical, hands-on AI and data topics that are applicable in the real world.
Some listeners note occasionally challenging episodes but still find them valuable.
The show is praised for thoughtful debates and actionable insights, not just hype.
Guests and topics are seen as consistently high quality and relevant to current AI trends.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#124
United States/Technology
Apple Podcasts
#157
Canada/Technology
Apple Podcasts
#104
Australia/Technology
Apple Podcasts
#160
Germany/Technology
Apple Podcasts
#170
Italy/Technology
Apple Podcasts
#20
Singapore/Technology

Talking Points

Recent interactions between the hosts and their guests.

1017: Vector Search, Agentic Memory and Effective RAG, with MongoDB’s Pete Johnson
Q: Why is vector search considered the new frontier for enterprise AI?
Because it enables injecting proprietary content into LLM workflows without retraining, supports live data calls, and improves retrieval quality for RAG pipelines, which is essential for reliable, scalable AI in real-world business contexts.
1013: Weapons of Math Destruction, Ten Years On, with Dr. Cathy O’Neil
Q: What can listeners do at an individual or community level to tackle these problems?
Start conversations in local communities, participate in jury service, organize with parents and educators, and push for accountability through court systems and state laws that require auditing and公开透明的算法评估.
1005: People Skills for Analytical Thinkers, with Bestselling Author Gilbert Eijkelenboom
Q: How do you scale a consulting practice like MindSpeaking without sacrificing energy or authenticity?
Focus on content-driven client attraction (LinkedIn then YouTube), manage energy and rest, and use a mix of group training and one-on-one sessions to stay energized; referrals from large organizations have been key.
1005: People Skills for Analytical Thinkers, with Bestselling Author Gilbert Eijkelenboom
Q: What practical steps can someone take to improve their self-awareness and communication?
Journaling and meditation help, along with asking for specific feedback in the form of 'keep doing / stop doing / start doing' to surface personal algorithms and biases.
1005: People Skills for Analytical Thinkers, with Bestselling Author Gilbert Eijkelenboom
Q: What is the most common pitfall data professionals face when presenting insights?
Overloading audiences with complexity and details; the solution is to strip down to insights and decisions, using a clear narrative and purpose.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
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Frequently Asked Questions About Super Data Science: ML & AI Podcast

What is Super Data Science: ML & AI Podcast about and what kind of topics does it cover?

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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Which podcasts are similar to Super Data Science: ML & AI Podcast?

These podcasts share a similar audience with Super Data Science: ML & AI Podcast:

1. Practical AI
2. Last Week in AI
3. DataFramed
4. NVIDIA AI Podcast
5. Machine Learning Street Talk (MLST)

How many episodes of Super Data Science: ML & AI Podcast are there?

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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What guests have appeared on Super Data Science: ML & AI Podcast?

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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