877 Epizód

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

    Közzétéve: 2023. 07. 14.

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

    Közzétéve: 2023. 07. 11.

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

    Közzétéve: 2023. 07. 07.

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

    Közzétéve: 2023. 07. 04.

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

    Közzétéve: 2023. 06. 30.

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

    Közzétéve: 2023. 06. 27.

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

    Közzétéve: 2023. 06. 23.

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

    Közzétéve: 2023. 06. 20.

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

    Közzétéve: 2023. 06. 16.

  10. 687: Generative Deep Learning, with David Foster

    Közzétéve: 2023. 06. 13.

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

    Közzétéve: 2023. 06. 09.

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

    Közzétéve: 2023. 06. 06.

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

    Közzétéve: 2023. 06. 02.

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

    Közzétéve: 2023. 05. 30.

  15. 682: Business Intelligence Tools, with Mico Yuk

    Közzétéve: 2023. 05. 26.

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

    Közzétéve: 2023. 05. 23.

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

    Közzétéve: 2023. 05. 19.

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

    Közzétéve: 2023. 05. 16.

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

    Közzétéve: 2023. 05. 12.

  20. 677: Digital Analytics with Avinash Kaushik

    Közzétéve: 2023. 05. 09.

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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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