877 Episodes

  1. 696: Brain-Computer Interfaces and Neural Decoding, with Prof. Bob Knight

    Published: 7/14/2023

  2. 695: NLP with Transformers, feat. Hugging Face's Lewis Tunstall

    Published: 7/11/2023

  3. 694: CatBoost: Powerful, efficient ML for large tabular datasets

    Published: 7/7/2023

  4. 693: YOLO-NAS: The State of the Art in Machine Vision, with Harpreet Sahota

    Published: 7/4/2023

  5. 692: Lossless LLM Weight Compression: Run Huge Models on a Single GPU

    Published: 6/30/2023

  6. 691: A.I. Accelerators: Hardware Specialized for Deep Learning

    Published: 6/27/2023

  7. 690: How to Catch and Fix Harmful Generative A.I. Outputs

    Published: 6/23/2023

  8. 689: Observing LLMs in Production to Automatically Catch Issues

    Published: 6/20/2023

  9. 688: Six Reasons Why Building LLM Products Is Tricky

    Published: 6/16/2023

  10. 687: Generative Deep Learning, with David Foster

    Published: 6/13/2023

  11. 686: Open-Source "Responsible A.I." Tools, with Ruth Yakubu

    Published: 6/9/2023

  12. 685: Tools for Building Real-Time Machine Learning Applications, with Richmond Alake

    Published: 6/6/2023

  13. 684: Get More Language Context out of your LLM

    Published: 6/2/2023

  14. 683: Contextual A.I. for Adapting to Adversaries, with Dr. Matar Haller

    Published: 5/30/2023

  15. 682: Business Intelligence Tools, with Mico Yuk

    Published: 5/26/2023

  16. 681: XGBoost: The Ultimate Classifier, with Matt Harrison

    Published: 5/23/2023

  17. 680: Automating Industrial Machines with Data Science and the Internet of Things (IoT)

    Published: 5/19/2023

  18. 679: The A.I. and Machine Learning Landscape, with investor George Mathew

    Published: 5/16/2023

  19. 678: StableLM: Open-source "ChatGPT"-like LLMs you can fit on one GPU

    Published: 5/12/2023

  20. 677: Digital Analytics with Avinash Kaushik

    Published: 5/9/2023

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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.