877 Epizód

  1. 676: The Chinchilla Scaling Laws

    Közzétéve: 2023. 05. 05.

  2. 675: Pandas for Data Analysis and Visualization

    Közzétéve: 2023. 05. 02.

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

    Közzétéve: 2023. 04. 28.

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

    Közzétéve: 2023. 04. 25.

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

    Közzétéve: 2023. 04. 21.

  6. 671: Cloud Machine Learning

    Közzétéve: 2023. 04. 18.

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

    Közzétéve: 2023. 04. 14.

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

    Közzétéve: 2023. 04. 11.

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

    Közzétéve: 2023. 04. 07.

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

    Közzétéve: 2023. 04. 04.

  11. 666: GPT-4

    Közzétéve: 2023. 03. 31.

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

    Közzétéve: 2023. 03. 28.

  13. 664: MIT Study: ChatGPT Dramatically Increases Productivity

    Közzétéve: 2023. 03. 24.

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

    Közzétéve: 2023. 03. 21.

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

    Közzétéve: 2023. 03. 17.

  16. 661: Designing Machine Learning Systems

    Közzétéve: 2023. 03. 14.

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

    Közzétéve: 2023. 03. 10.

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

    Közzétéve: 2023. 03. 07.

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

    Közzétéve: 2023. 03. 03.

  20. 657: How to Learn Data Engineering

    Közzétéve: 2023. 02. 28.

11 / 44

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.

Visit the podcast's native language site