877 Episodes

  1. 676: The Chinchilla Scaling Laws

    Published: 5/5/2023

  2. 675: Pandas for Data Analysis and Visualization

    Published: 5/2/2023

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

    Published: 4/28/2023

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

    Published: 4/25/2023

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

    Published: 4/21/2023

  6. 671: Cloud Machine Learning

    Published: 4/18/2023

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

    Published: 4/14/2023

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

    Published: 4/11/2023

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

    Published: 4/7/2023

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

    Published: 4/4/2023

  11. 666: GPT-4

    Published: 3/31/2023

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

    Published: 3/28/2023

  13. 664: MIT Study: ChatGPT Dramatically Increases Productivity

    Published: 3/24/2023

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

    Published: 3/21/2023

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

    Published: 3/17/2023

  16. 661: Designing Machine Learning Systems

    Published: 3/14/2023

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

    Published: 3/10/2023

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

    Published: 3/7/2023

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

    Published: 3/3/2023

  20. 657: How to Learn Data Engineering

    Published: 2/28/2023

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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.