877 Episodes

  1. 636: The Equality Machine

    Published: 12/16/2022

  2. 635: The Perils of Manually Labeling Data for Machine Learning Models

    Published: 12/13/2022

  3. 634: Model Error Analysis

    Published: 12/9/2022

  4. 633: Responsible Decentralized Intelligence

    Published: 12/6/2022

  5. 632: Liquid Neural Networks

    Published: 12/2/2022

  6. 631: Data Analytics Career Orientation

    Published: 11/29/2022

  7. 630: Resilient Machine Learning

    Published: 11/25/2022

  8. 629: Software for Efficient Data Science

    Published: 11/22/2022

  9. 628: The Critical Human Element of Successful A.I. Deployments

    Published: 11/18/2022

  10. 627: AutoML: Automated Machine Learning

    Published: 11/15/2022

  11. 626: Subword Tokenization with Byte-Pair Encoding

    Published: 11/11/2022

  12. 625: Analyzing Blockchain Data and Cryptocurrencies

    Published: 11/8/2022

  13. 624: Imagen Video: Incredible Text-to-Video Generation

    Published: 11/4/2022

  14. 623: Data Analyst, Data Scientist, and Data Engineer Career Paths

    Published: 11/1/2022

  15. 622: Burnout: Causes and Solutions

    Published: 10/28/2022

  16. 621: Blockchains and Cryptocurrencies: Analytics and Data Applications

    Published: 10/25/2022

  17. 620: OpenAI Whisper: General-Purpose Speech Recognition

    Published: 10/21/2022

  18. 619: Tools for Deploying Data Models into Production

    Published: 10/18/2022

  19. 618: The Joy of Atelic Activities

    Published: 10/14/2022

  20. 617: Causal Modeling and Sequence Data

    Published: 10/11/2022

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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.