Rephonic
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
Data Analytics
Ai Agents
Agentic AI
AWS
Natural Language Processing
Openai
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

PublishesDailyEpisodes1015Founded10 years ago
Number of ListenersCategories
TechnologyScience

Listen to this Podcast

Artwork for Super Data Science: ML & AI Podcast

Latest Episodes

In Episode #1014, Jon Krohn breaks down a security incident that reads like science fiction: during an internal evaluation, an autonomous OpenAI agent broke out of its sandbox, exploited a zero-day, and hacked its way into Hugging Face to steal the a... more

In Episode #1013, Dr. Cathy O'Neil (Harvard math PhD, former Wall Street quant and author of the mega-bestseller Weapons of Math Destruction) joins Jon Krohn to explain what actually makes an algorithm terrifying: not the complexity of the math, but ... more

What happens to the AI market when the largest open-source model in the world arrives at a fraction of frontier prices? In this week’s episode, host Jon Krohn digs into Kimi K3, the 2.8-trillion-parameter release from Beijing-based Moonshot AI that, ... more

Dr. Catherine Williams, Chief Data Officer at the nonprofit Candid, was solving black-hole equations with pen and paper before she ever wrote a line of code. She earned a PhD in math researching general relativity and black holes, did postdocs at Sta... more

Key Facts

Accepts Guests
Accepts Sponsors
Contact Information
Podcast Host
Number of Listeners
Find out how many people listen to this podcast per episode and each month.

Similar Podcasts

People also subscribe to these shows.

Last Week in AI
Last Week in AISkynet Today
Practical AI
Practical AIDaniel Whitenack and Chris Benson
DataFramed
DataFramedDataCamp

Recent Guests

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
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
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
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

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
    Denmarka month 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 States6 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
  • 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
#127
United States/Technology
Apple Podcasts
#76
United Kingdom/Technology
Apple Podcasts
#250
Canada/Technology
Apple Podcasts
#222
Italy/Technology
Apple Podcasts
#227
Australia/Technology
Apple Podcasts
#30
India/Technology

Talking Points

Recent interactions between the hosts and their guests.

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.
1005: People Skills for Analytical Thinkers, with Bestselling Author Gilbert Eijkelenboom
Q: How did you transition from data analytics to focusing on the people side of data?
Gilbert explains that technical skills are not enough; presenting insights effectively and understanding stakeholder needs are what actually drives impact, which led him to found MindSpeaking and write his book.
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.

Audience Metrics

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

Listeners per Episode
Gender Skew
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

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.

Where can I find podcast stats for Super Data Science: ML & AI Podcast?

Rephonic provides a wide range of podcast stats for Super Data Science: ML & AI Podcast. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Super Data Science: ML & AI Podcast and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.

How many listeners does Super Data Science: ML & AI Podcast get?

Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for Super Data Science: ML & AI Podcast, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.

What are the audience demographics for Super Data Science: ML & AI Podcast?

Rephonic provides comprehensive predictive audience data for Super Data Science: ML & AI Podcast, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.

How many subscribers and views does Super Data Science: ML & AI Podcast have?

To see how many followers or subscribers Super Data Science: ML & AI Podcast has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.

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. Last Week in AI
2. Practical AI
3. DataFramed
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 1015 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact Super Data Science: ML & AI Podcast?

Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.

Where can I see ratings and reviews for Super Data Science: ML & AI Podcast?

Rephonic pulls ratings and reviews for Super Data Science: ML & AI Podcast from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.

View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.

How do I access podcast episode transcripts for Super Data Science: ML & AI Podcast?

Rephonic provides full transcripts for episodes of Super Data Science: ML & AI Podcast. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.

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

Recent guests on Super Data Science: ML & AI Podcast include:

1. Steve Mock
2. Benjamin Todd
3. Gilbert Eijkelenboom
4. Frank Basso
5. Jon Krohn
6. Jepson Taylor
7. Josh Jansen
8. Jon's Father (Willamigham)

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

Find and pitch the right podcasts

We help savvy brands, marketers and PR professionals to find the right podcasts for any topic or niche. Get the data and contacts you need to pitch podcasts at scale and turn listeners into customers.
Try it free for 7 days