877 Episodo

  1. 676: The Chinchilla Scaling Laws

    Publicado: 5/5/2023

  2. 675: Pandas for Data Analysis and Visualization

    Publicado: 2/5/2023

  3. 674: Parameter-Efficient Fine-Tuning of LLMs using LoRA (Low-Rank Adaptation)

    Publicado: 28/4/2023

  4. 673: Taipy, the open-source Python application builder

    Publicado: 25/4/2023

  5. 672: Open-source "ChatGPT": Alpaca, Vicuña, GPT4All-J, and Dolly 2.0

    Publicado: 21/4/2023

  6. 671: Cloud Machine Learning

    Publicado: 18/4/2023

  7. 670: LLaMA: GPT-3 performance, 10x smaller

    Publicado: 14/4/2023

  8. 669: Streaming, reactive, real-time machine learning

    Publicado: 11/4/2023

  9. 668: GPT-4: Apocalyptic stepping stone?

    Publicado: 7/4/2023

  10. 667: Harnessing GPT-4 for your Commercial Advantage

    Publicado: 4/4/2023

  11. 666: GPT-4

    Publicado: 31/3/2023

  12. 665: How to be both socially impactful and financially successful in your data career

    Publicado: 28/3/2023

  13. 664: MIT Study: ChatGPT Dramatically Increases Productivity

    Publicado: 24/3/2023

  14. 663: Astonishing CICERO negotiates and builds trust with humans using natural language

    Publicado: 21/3/2023

  15. 662: The Most Popular SuperDataScience Podcast Episodes of 2022

    Publicado: 17/3/2023

  16. 661: Designing Machine Learning Systems

    Publicado: 14/3/2023

  17. 660: Five Ways to Use ChatGPT for Data Science

    Publicado: 10/3/2023

  18. 659: Open-Source Tools for Natural Language Processing

    Publicado: 7/3/2023

  19. 658: How to Build Data and ML Products Users Love

    Publicado: 3/3/2023

  20. 657: How to Learn Data Engineering

    Publicado: 28/2/2023

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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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