Super Data Science: ML & AI Podcast with Jon Krohn

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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 conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

Recent Episodes
  • 881: Beyond GPUs: The Power of Custom AI Accelerators, with Emily Webber
    Apr 22, 2025 – 01:17:06
  • 880: Manus, DeepSeek and China’s AI Boom
    Apr 18, 2025 – 10:17
  • 879: Serverless, Parallel, and AI-Assisted: The Future of Data Science is Here, with Zerve’s Dr. Greg Michaelson
    Apr 15, 2025 – 01:07:14
  • 878: In Case You Missed It in March 2025
    Apr 11, 2025 – 30:49
  • 877: The Neural Processing Units Bringing AI to PCs, with Shirish Gupta
    Apr 8, 2025 – 01:09:32
  • 876: Hugging Face’s smolagents: Agentic AI in Python Made Easy
    Apr 4, 2025 – 15:11
  • 875: How Semiconductors Are Made (And Fuel the AI Boom), with Kai Beckmann
    Apr 1, 2025 – 01:10:29
  • 874: How AI is Transforming Baseball (with Lessons For All of Us)
    Mar 28, 2025 – 14:27
  • 873: Become Your Best Self Through AI Augmentation — feat. Natalie Monbiot
    Mar 25, 2025 – 01:12:32
  • 872: Microsoft’s “Majorana 1” Chip Brings Quantum ML Closer
    Mar 21, 2025 – 12:20
  • 871: NoSQL Is Ideal for AI Applications, with MongoDB’s Richmond Alake
    Mar 18, 2025 – 01:13:11
  • 870: OpenAI’s “Deep Research”: Get Days of Human Work Done in Minutes
    Mar 14, 2025 – 17:22
  • 869: AI Should Make Humans Wiser (But It Isn’t), with Varun Godbole
    Mar 11, 2025 – 01:19:42
  • 868: In Case You Missed It in February 2025
    Mar 7, 2025 – 26:31
  • 867: LLMs and Agents Are Overhyped, with Dr. Andriy Burkov
    Mar 4, 2025 – 01:33:12
  • 866: Bringing Back Extinct Animals like the Woolly Mammoth and Dodo Bird
    Feb 28, 2025 – 07:31
  • 865: How to Grow (and Sell) a Data Science Consultancy, with Cal Al-Dhubaib
    Feb 25, 2025 – 53:50
  • 864: OpenAI’s o3-mini: SOTA reasoning and exponentially cheaper
    Feb 21, 2025 – 08:17
  • 863: TabPFN: Deep Learning for Tabular Data (That Actually Works!), with Prof. Frank Hutter
    Feb 18, 2025 – 01:06:06
  • 862: In Case You Missed It in January 2025
    Feb 14, 2025 – 31:51
  • 861: From Pro Athlete to Data Engineer: Colleen Fotsch’s Inspiring Journey
    Feb 11, 2025 – 02:00:42
  • 860: DeepSeek R1: SOTA Reasoning at 1% of the Cost
    Feb 7, 2025 – 13:08
  • 859: BAML: The Programming Language for AI, with Vaibhav Gupta
    Feb 4, 2025 – 59:30
  • 858: Are You The Account Executive We’re Looking For?
    Jan 31, 2025 – 07:13
  • 857: How to Ensure AI Agents Are Accurate and Reliable, with Brooke Hopkins
    Jan 28, 2025 – 01:22:43
  • 856: The Fastest-Growing Jobs Are AI Jobs
    Jan 24, 2025 – 10:02
  • 855: Exponential Views on AI and Humanity’s Greatest Challenges, with Azeem Azhar
    Jan 21, 2025 – 01:28:12
  • 854: The Six Epochs of Intelligence Evolution
    Jan 17, 2025 – 13:56
  • 853: Generative AI for Business, with Kirill Eremenko and Hadelin de Ponteves
    Jan 14, 2025 – 01:29:00
  • 852: In Case You Missed It in December 2024
    Jan 10, 2025 – 40:15
  • 851: Quantum ML: Real-World Applications Today, with Dr. Florian Neukart
    Jan 7, 2025 – 01:11:51
  • 850: Continuous Calendar for 2025
    Jan 3, 2025 – 05:04
  • 849: 2025 AI and Data Science Predictions, with Sadie St. Lawrence
    Dec 31, 2024 – 01:18:29
  • 848: Happy Holidays from the SuperDataScience Podcast
    Dec 27, 2024 – 03:23
  • 847: AI Engineering 101, with Ed Donner
    Dec 24, 2024 – 01:12:14
  • 846: Making Enterprise Data Ready for AI, with Anu Jain and Mahesh Kumar
    Dec 20, 2024 – 18:04
  • 845: Tech is Our New Religion And It Needs Reformation, with Greg Epstein
    Dec 17, 2024 – 01:36:56
  • 844: In Case You Missed It in November 2024
    Dec 13, 2024 – 38:08
  • 843: Safe, Fast and Efficient AI, with Protopia’s Dr. Eiman Ebrahimi
    Dec 10, 2024 – 01:27:50
  • 842: Flexible AI Deployments Are Critical, with Chris Bennett and Joseph Balsamo
    Dec 6, 2024 – 17:18
  • 841: Andrew Ng on AI Vision, Agents and Business Value
    Dec 3, 2024 – 26:21
  • 840: Delicate Viticultural Robotics
    Nov 29, 2024 – 09:54
  • 839: Double Your Data Salary in 11 Months, with Jess Ramos
    Nov 26, 2024 – 59:58
  • 838: Consciousness and Machines, with Jennifer K. Hill
    Nov 22, 2024 – 44:06
  • 837: Career Success in the AI Era, with Deepali Vyas
    Nov 19, 2024 – 01:10:26
  • 836: How to Become Happier, with Dr. Nat Ware
    Nov 15, 2024 – 31:22
  • 835: AI Systems as Productivity Engines, with You.com’s Bryan McCann
    Nov 12, 2024 – 01:33:04
  • 834: In Case You Missed It in October 2024
    Nov 8, 2024 – 44:59
  • 833: The 10 Reasons AI Projects Fail, with Dr. Martin Goodson
    Nov 5, 2024 – 01:25:25
  • 832: The Anthropic CEO’s Techno-Utopia
    Nov 1, 2024 – 08:43
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