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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
Machine Learning
Artificial Intelligence
Generative AI
Large Language Models
AI Agents
Data Analytics
Agentic AI
AWS
Openai
Natural Language Processing
Job Applications
Quantum Computing
Cloud Computing
Polars
Mathematical Optimization
Python
Artificial General Intelligence
Software Development
Foundation Models

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

PublishesDailyEpisodes1009Founded10 years ago
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Artwork for Super Data Science: ML & AI Podcast

Latest Episodes

In Episode #1008, Jon Krohn digs into Anthropic's 35-page Founder's Playbook and pulls out the practical guidance for each of its four startup stages: Idea, MVP, Launch and Scale. AI has erased the three bottlenecks that historically gated company-bu... more

Benjamin Todd, co-founder and President of 80,000 Hours and author of the new Penguin Random House book 80,000 Hours: How to Have a Fulfilling Career That Does Good, joins Jon Krohn for a major update on career strategy in the AI era, his first appea... more

In this month's episode of ICYMI, hear from Chip Huyen, Andrey Kurenkov, Frank Basso and Gilbert Eijkelenboom, discussing why moats are shifting toward physical systems and accumulated product intuition, how Astrocade built vibe coding before the ter... more

Gilbert Eijkelenboom, bestselling author of People Skills for Analytical Thinkers and founder of the training firm MindSpeaking joins Jon Krohn to make the case that communication is a core data skill, not an optional extra. Gilbert shares the “And, ... more

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Find out how many people listen to this podcast per episode and each month.

Recent Guests

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
Jon's Father (Willamigham)
Jon's father, guest in the live call
Family guest
Episode: 1000: Ten Years of the Super Data Science Podcast, with Jon, Kirill and Special Guests
Jepson Taylor
AI entrepreneur and guest
Unspecified host guest
Episode: 1000: Ten Years of the Super Data Science Podcast, with Jon, Kirill and Special Guests
Chip Huyen
AI engineer, entrepreneur, author of AI Engineering
Author; Former founder of Claypot
Episode: 999: What's Left to Build When Software Is Free, with Chip Huyen
Andrey Kurenkov
Founding AI Lead at Astrocade
Astrocade
Episode: 997: How This Text-to-Video-Game AI Startup Hit 20M Users
Nikunj Bajaj
CEO and co-founder of TrueFoundry
TrueFoundry
Episode: 996: TrueFoundry’s Nikunj Bajaj on How to Get $100M Returns on AI Agent Deployments
Jazmia Henry
Foundational Model Engineer at Collide (oil and gas AI), PhD researcher
Collide
Episode: 995: End-to-End Foundation Models for the Energy Industry, with Jazmia Henry

Host

Jon Krohn
Host of the show

Reviews

4.7 out of 5 stars from 861 ratings
  • 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
    Denmark6 days 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 States4 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 States5 months ago
  • Links pls

    Love the show so much!

    I do wish the episode links worked from Apple Podcasts.

    Apple Podcasts
    5
    jorygonian
    United States6 months ago
  • Awesome podcast

    I have been following the Super Data Science Podcast ever since the early days with Kirill Eremenko, all the way through to Jon Krohn. When I was a student, it helped me a lot to understand and make decisions about my career path.

    Thanks to all the team for bringing us this podcast.

    Apple Podcasts
    5
    TheBecaye
    Canadaa year 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
#129
United States/Technology
Apple Podcasts
#104
United Kingdom/Technology
Apple Podcasts
#115
Canada/Technology
Apple Podcasts
#174
Germany/Technology
Apple Podcasts
#33
Brazil/Technology
Apple Podcasts
#41
India/Technology

Talking Points

Recent interactions between the hosts and their guests.

1001: How AI Erased My Career Moat, an Episode #1001 Special: Jon Krohn interviewed by Kirill Eremenko
Q: What are the biggest challenges when moving from prototype to production in AI projects?
Main challenges include data availability and quality, data pipelines, production costs, security, and ensuring the produced workflow can scale and be deployed with reliability; many projects fail due to missing data infrastructure in production.
1001: How AI Erased My Career Moat, an Episode #1001 Special: Jon Krohn interviewed by Kirill Eremenko
Q: What is Rice Scoring and how does it help organizations prioritize AI projects for production?
Rice Scoring evaluates each project by reach, impact, confidence, and effort to produce a score; higher scores indicate higher ROI potential and faster paths to production, guiding prioritization without dogmatic adherence.
1001: How AI Erased My Career Moat, an Episode #1001 Special: Jon Krohn interviewed by Kirill Eremenko
Q: AGI is often discussed; is it necessary to have consciousness to achieve AGI or can it be achieved by predicting the next token?
Consciousness is not deemed necessary; AGI can be achieved through advanced predictive capabilities and architectures that may not replicate consciousness, focusing on breadth and real-world embodied tasks rather than human-like awareness.
1000: Ten Years of the Super Data Science Podcast, with Jon, Kirill and Special Guests
Q: What piece of advice would you give to someone trying to break into the field today?
Focus on building a strong GitHub portfolio with your own projects and actively leveraging in-person networking and meetups to get noticed, rather than only applying online; personal connections often cut through the noise.
995: End-to-End Foundation Models for the Energy Industry, with Jazmia Henry
Q: Could you summarize the NeurIPS paper about scaling laws and data quality?
The paper argues that data quality is crucial and that more data with low quality can degrade performance; conversely, higher quality data with reasonable compute can yield better results than simply scaling up with bad data.

Audience Metrics

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

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

1. Practical AI
2. DataFramed
3. The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
4. NVIDIA AI Podcast
5. The AI Daily Brief: Artificial Intelligence News and Analysis

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

Super Data Science: ML & AI Podcast launched 10 years ago and published 1009 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. Frank Basso
2. Jon Krohn
3. Josh Jansen
4. Jon's Father (Willamigham)
5. Jepson Taylor
6. Chip Huyen
7. Andrey Kurenkov
8. Nikunj Bajaj

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