877 Odcinki

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

    Opublikowany: 14.07.2023

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

    Opublikowany: 11.07.2023

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

    Opublikowany: 7.07.2023

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

    Opublikowany: 4.07.2023

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

    Opublikowany: 30.06.2023

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

    Opublikowany: 27.06.2023

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

    Opublikowany: 23.06.2023

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

    Opublikowany: 20.06.2023

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

    Opublikowany: 16.06.2023

  10. 687: Generative Deep Learning, with David Foster

    Opublikowany: 13.06.2023

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

    Opublikowany: 9.06.2023

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

    Opublikowany: 6.06.2023

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

    Opublikowany: 2.06.2023

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

    Opublikowany: 30.05.2023

  15. 682: Business Intelligence Tools, with Mico Yuk

    Opublikowany: 26.05.2023

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

    Opublikowany: 23.05.2023

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

    Opublikowany: 19.05.2023

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

    Opublikowany: 16.05.2023

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

    Opublikowany: 12.05.2023

  20. 677: Digital Analytics with Avinash Kaushik

    Opublikowany: 9.05.2023

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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.

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