877 Episoder

  1. 676: The Chinchilla Scaling Laws

    Udgivet: 5.5.2023
  2. 675: Pandas for Data Analysis and Visualization

    Udgivet: 2.5.2023
  3. 674: Parameter-Efficient Fine-Tuning of LLMs using LoRA (Low-Rank Adaptation)

    Udgivet: 28.4.2023
  4. 673: Taipy, the open-source Python application builder

    Udgivet: 25.4.2023
  5. 672: Open-source "ChatGPT": Alpaca, Vicuña, GPT4All-J, and Dolly 2.0

    Udgivet: 21.4.2023
  6. 671: Cloud Machine Learning

    Udgivet: 18.4.2023
  7. 670: LLaMA: GPT-3 performance, 10x smaller

    Udgivet: 14.4.2023
  8. 669: Streaming, reactive, real-time machine learning

    Udgivet: 11.4.2023
  9. 668: GPT-4: Apocalyptic stepping stone?

    Udgivet: 7.4.2023
  10. 667: Harnessing GPT-4 for your Commercial Advantage

    Udgivet: 4.4.2023
  11. 666: GPT-4

    Udgivet: 31.3.2023
  12. 665: How to be both socially impactful and financially successful in your data career

    Udgivet: 28.3.2023
  13. 664: MIT Study: ChatGPT Dramatically Increases Productivity

    Udgivet: 24.3.2023
  14. 663: Astonishing CICERO negotiates and builds trust with humans using natural language

    Udgivet: 21.3.2023
  15. 662: The Most Popular SuperDataScience Podcast Episodes of 2022

    Udgivet: 17.3.2023
  16. 661: Designing Machine Learning Systems

    Udgivet: 14.3.2023
  17. 660: Five Ways to Use ChatGPT for Data Science

    Udgivet: 10.3.2023
  18. 659: Open-Source Tools for Natural Language Processing

    Udgivet: 7.3.2023
  19. 658: How to Build Data and ML Products Users Love

    Udgivet: 3.3.2023
  20. 657: How to Learn Data Engineering

    Udgivet: 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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