877 Epizód

  1. 636: The Equality Machine

    Közzétéve: 2022. 12. 16.
  2. 635: The Perils of Manually Labeling Data for Machine Learning Models

    Közzétéve: 2022. 12. 13.
  3. 634: Model Error Analysis

    Közzétéve: 2022. 12. 09.
  4. 633: Responsible Decentralized Intelligence

    Közzétéve: 2022. 12. 06.
  5. 632: Liquid Neural Networks

    Közzétéve: 2022. 12. 02.
  6. 631: Data Analytics Career Orientation

    Közzétéve: 2022. 11. 29.
  7. 630: Resilient Machine Learning

    Közzétéve: 2022. 11. 25.
  8. 629: Software for Efficient Data Science

    Közzétéve: 2022. 11. 22.
  9. 628: The Critical Human Element of Successful A.I. Deployments

    Közzétéve: 2022. 11. 18.
  10. 627: AutoML: Automated Machine Learning

    Közzétéve: 2022. 11. 15.
  11. 626: Subword Tokenization with Byte-Pair Encoding

    Közzétéve: 2022. 11. 11.
  12. 625: Analyzing Blockchain Data and Cryptocurrencies

    Közzétéve: 2022. 11. 08.
  13. 624: Imagen Video: Incredible Text-to-Video Generation

    Közzétéve: 2022. 11. 04.
  14. 623: Data Analyst, Data Scientist, and Data Engineer Career Paths

    Közzétéve: 2022. 11. 01.
  15. 622: Burnout: Causes and Solutions

    Közzétéve: 2022. 10. 28.
  16. 621: Blockchains and Cryptocurrencies: Analytics and Data Applications

    Közzétéve: 2022. 10. 25.
  17. 620: OpenAI Whisper: General-Purpose Speech Recognition

    Közzétéve: 2022. 10. 21.
  18. 619: Tools for Deploying Data Models into Production

    Közzétéve: 2022. 10. 18.
  19. 618: The Joy of Atelic Activities

    Közzétéve: 2022. 10. 14.
  20. 617: Causal Modeling and Sequence Data

    Közzétéve: 2022. 10. 11.

13 / 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