
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 | Daily | Episodes | 1027 | Founded | 10 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyScience | |||

In Episode #1026, Jon Krohn breaks down GPT-6 Astra, OpenAI’s new flagship that its president has floated as a possible marker of AGI. Jon covers what the model is, what it costs, its state-of-the-art results across computer use, coding, abstract rea... more
In Episode #1025, Dr. Luis Serrano (Founder of Serrano Academy) joins Jon Krohn to explain the paper he co-authored on the curved spacetime of transformer architectures, in which attention stops being a lookup table and becomes something closer to gr... more
In ICYMI Episode #1024, Jon Krohn tracks the gap between AI investment and AI return, from the technology side to the people side. Hear from Pete Johnson, Jerry Yurchisin, Priyanka Vergadia and Tristan Handy, discussing why four out of five organizat... more
In Episode #1023, Aishwarya Srinivasan (Co-Founder of The Gen Academy) joins Jon Krohn to work out where a competitive moat comes from once anything you can build in ten minutes, somebody else can build in ten minutes too. Ash came to teaching throug... more
People also subscribe to these shows.





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.
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #137 | |
Apple Podcasts | #111 | |
Apple Podcasts | #141 | |
Apple Podcasts | #67 | |
Apple Podcasts | #155 | |
Apple Podcasts | #237 |
Recent interactions between the hosts and their guests.
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | |
|---|---|
| Gender Skew | |
| Location | |
| Interests | |
| Professions | |
| Age Range | |
| Household Income | |
| Social Media Reach |
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
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.
Rephonic provides a full set of podcast information for four 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.
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.
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.
These podcasts share a similar audience with Super Data Science: ML & AI Podcast:
1. Practical AI
2. DataFramed
3. Machine Learning Street Talk (MLST)
4. Training Data
5. The AI Daily Brief: Artificial Intelligence News and Analysis
Super Data Science: ML & AI Podcast launched 10 years ago and published 1027 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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.
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.
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.
Recent guests on Super Data Science: ML & AI Podcast include:
1. Tristan Handy
2. Priyanka Vergadia
3. Pete Johnson
4. Cathy O'Neil
5. Dr. Catherine Williams
6. Steve Mock
7. Benjamin Todd
8. Chip Huyen
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.