
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 | Twice weekly | Episodes | 938 | Founded | 9 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | ScienceTechnology | |||

AI tools won’t eliminate but elevate data scientists, says Marc Dupuis. The CEO of fabi.ai talks to Jon Krohn about the new wave of AI-driven platforms that integrate workflows within popular work tools like Slack and email, and how building AI-first... more
How much power – and risk – do we carry around with us in our pockets? A Reuters investigation about how easily LLMs can be utilized for online phishing scams is the subject of this week’s Five-Minute Friday with Jon Krohn. By asking six of the most ... more
Jon Krohn speaks to researcher, broadcaster and author Stephanie Hare about how the Hippocratic Oath might apply to artificial intelligence, and a guiding ethos for pushing innovation while protecting users from harm. A code of conduct, she says, cou... more
With the number of jobs dramatically slowing in the last year, many question if this decline is down to companies turning to AI for completing entry-level tasks in particular. Research published earlier this month by Yale University shows no major di... more
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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.
Thank you for your making data science accessible to everyone. Whenever I meet a data scientist in the DC area, I always make sure to mention your podcast.
Jon Krohn’s Super Data Science podcast is a fantastic way to keep up with the world of AI and the people who work in the industry. His guests are spot on and always interesting.
Fun bonus comment - I came across John’s work on YouTube as well where he has a course on calculus. Since I’m taking a DS course right now I needed to brush up on the math.
I’ve been listening to SDS for a couple of years now and the content is always fascinating. Sometimes a bit over my head, but you can bet I am looking up the information and learning with every episode. Love the site as well, keep up the great work!
The podcast is great; highly technical, accessible, humanistic and optimistic.
John gives the guests a ton of space to explore and share to get their voices and explore their work. It's great.
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Focusing on machine learning, artificial intelligence, and data careers, this podcast features engaging conversations with leading figures in the data science industry. The content combines both technical insights and practical advice, making it suitable for listeners ranging from data enthusiasts to experienced professionals. Each episode cuts through the hype surrounding AI and data, offering thoughtful discussions that address real-world applications, tools, techniques, and implementation strategies. It encourages listeners to explore data-driven processes in their careers and businesses, ultimately empowering them to make a significant impact in a rapidly evolving field.
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These podcasts share a similar audience with Super Data Science: ML & AI Podcast:
1. Practical AI
2. DataFramed
3. This Day in AI Podcast
4. NVIDIA AI Podcast
5. Data Skeptic
Super Data Science: ML & AI Podcast launched 9 years ago and published 938 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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Recent guests on Super Data Science: ML & AI Podcast include:
1. Marc Dupuis
2. Sheamus McGovern
3. Larissa Schneider
4. Adrian Kosowski
5. David Loker
6. Carl Benedikt Frey
7. Amy Hodler
8. Hugo Dozois-Caouette
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