Super Data Science: ML & AI Podcast with Jon Krohn
Jon Krohn
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.
Categories: Technology
Listen to the last episode:
Llama 3.2 brings a new era of AI innovation with lightweight models tailored for on-device applications and powerful vision models for handling complex image inputs. Host Jon Krohn explores how this release pushes the boundaries of open-source AI, making it more accessible and versatile for developers. He also covers the Llama Stack toolkit, designed to streamline deployment, and Llama Guard 3, Meta’s latest content moderation solution. With extensive support from major cloud and hardware partners, Llama 3.2 is set to unlock groundbreaking possibilities for AI across mobile and beyond. Tune in to hear more. Additional materials: www.superdatascience.com/824 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
Previous episodes
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1679 - 824: Llama 3.2: Open-Source Edge and Multimodal LLMs Fri, 04 Oct 2024
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1678 - 823: Virtual Humans and AI Clones, with Natalie Monbiot Tue, 01 Oct 2024
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1677 - 822: NotebookLM: Jaw-Dropping Podcast Episodes Generated About Your Documents Fri, 27 Sep 2024
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1676 - 821: The Skills You Need to Be an Effective Data Scientist, with Marck Vaisman Tue, 24 Sep 2024
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1675 - 820: OpenAI's o1 "Strawberry" Models Fri, 20 Sep 2024
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1674 - 819: PyTorch: From Zero to Hero, with Luka Anicin Tue, 17 Sep 2024
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1673 - 818: In Case You Missed It in August 2024 Fri, 13 Sep 2024
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1672 - 817: The Positron IDE, Tidy NLP and MLOps with Dr. Julia Silge Tue, 10 Sep 2024
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1671 - 816: Explaining AGI to a 94-Year-Old Fri, 06 Sep 2024
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1670 - 815: Polars: Faster DataFrame Ops, with Marco Gorelli Tue, 03 Sep 2024
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1669 - 814: Summer Reflections Fri, 30 Aug 2024
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1668 - 813: Solving Business Problems Optimally with Data, with Jerry Yurchisin Tue, 27 Aug 2024
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1667 - 812: The AI Scientist: Towards Fully Automated, Open-Ended Scientific Discovery Fri, 23 Aug 2024
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1666 - 811: Scaling Data Science Teams Effectively, with Nick Elprin Tue, 20 Aug 2024
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1665 - 810: The Five Levels of Self-Driving Cars Fri, 16 Aug 2024
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1664 - 809: Agentic AI, with Shingai Manjengwa Tue, 13 Aug 2024
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1663 - 808: In Case You Missed It in July 2024 Fri, 09 Aug 2024
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1662 - 800: A Transformative Century of Technological Progress, with Annie P. Fri, 12 Jul 2024
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1661 - 807: Superintelligence and the Six Singularities, with Dr. Daniel Hulme Tue, 06 Aug 2024
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1660 - 806: Llama 3.1 405B: The First Open-Source Frontier LLM Fri, 02 Aug 2024
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1659 - 222: 2018 in Numbers Fri, 28 Dec 2018
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1658 - 805: How to Be a Supercommunicator, with Charles Duhigg Tue, 30 Jul 2024
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1657 - 804: AI x Solar Power = Abundant Energy Fri, 26 Jul 2024
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1656 - 803: How to Thrive in Your (Data Science) Career, with Daliana Liu Tue, 23 Jul 2024
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1655 - 802: In Case You Missed It in June 2024 Fri, 19 Jul 2024
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1654 - 801: Merged LLMs Are Smaller And More Capable, with Arcee AI's Mark McQuade and Charles Goddard Tue, 16 Jul 2024
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1653 - 799: AGI Could Be Near: Dystopian and Utopian Implications, with Dr. Andrey Kurenkov Tue, 09 Jul 2024
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1652 - 798: Claude 3.5 Sonnet: Frontier Capabilities & Slick New "Artifacts" UI Fri, 05 Jul 2024
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1651 - 797: Deep Learning Classics and Trends, with Dr. Rosanne Liu Tue, 02 Jul 2024
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1650 - 796: Earth's Coming Population Collapse and How AI Can Help, with Simon Kuestenmacher Fri, 28 Jun 2024
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1649 - 795: Fast-Evolving Data and AI Regulatory Frameworks, with Dr. Gina Guillaume-Joseph Tue, 25 Jun 2024
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1648 - 794: Exciting (and Frightening!) Trends in Open-Source AI Fri, 21 Jun 2024
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1647 - 793: Bayesian Methods and Applications, with Alexandre Andorra Tue, 18 Jun 2024
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1646 - 792: In Case You Missed It in May 2024 Fri, 14 Jun 2024
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1645 - 791: Reinforcement Learning from Human Feedback (RLHF), with Dr. Nathan Lambert Tue, 11 Jun 2024
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1644 - 790: Open-Source Libraries for Data Science at the New York R Conference Fri, 07 Jun 2024
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1643 - 789: ML for Wind-Powered Energy Generation, with Dr. Jason Yosinski Tue, 04 Jun 2024
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1642 - 788: Multi-Agent Systems: How Teams of LLMs Excel at Complex Tasks Fri, 31 May 2024
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1641 - 787: MLOps: The Job and The Key Tools, with Demetrios Brinkmann Tue, 28 May 2024
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1640 - 786: The Six Keys to Data Scientists' Success, with Kirill Eremenko Fri, 24 May 2024
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1639 - 785: Math, Quantum ML and Language Embeddings, with Dr. Luis Serrano Tue, 21 May 2024
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1638 - 784: Aligning Large Language Models, with Sinan Ozdemir Fri, 17 May 2024
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1637 - 783: Generative A.I. for Solar Power Installation, with Navdeep Martin Tue, 14 May 2024
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1636 - 782: In Case You Missed It in April 2024 Fri, 10 May 2024
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1635 - 781: Ensuring Successful Enterprise AI Deployments, with Sol Rashidi Tue, 07 May 2024
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1634 - 780: How to Become a Data Scientist, with Dr. Adam Ross Nelson Fri, 03 May 2024
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1633 - 779: The Tidyverse of Essential R Libraries and their Python Analogues, with Dr. Hadley Wickham Tue, 30 Apr 2024
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1632 - 778: Mixtral 8x22B: SOTA Open-Source LLM Capabilities at a Fraction of the Compute Fri, 26 Apr 2024
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1631 - 777: Generative AI in Practice, with Bernard Marr Tue, 23 Apr 2024
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1630 - 776: Deep Utopia: AI Could Solve All Human Problems in Our Lifetime Fri, 19 Apr 2024