Linear Digressions

En podcast av Ben Jaffe and Katie Malone

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289 Avsnitt

  1. Anscombe's Quartet

    Publicerades: 2017-06-19
  2. Traffic Metering Algorithms

    Publicerades: 2017-06-12
  3. Page Rank

    Publicerades: 2017-06-05
  4. Fractional Dimensions

    Publicerades: 2017-05-29
  5. Things You Learn When Building Models for Big Data

    Publicerades: 2017-05-22
  6. How to Find New Things to Learn

    Publicerades: 2017-05-15
  7. Federated Learning

    Publicerades: 2017-05-08
  8. Word2Vec

    Publicerades: 2017-05-01
  9. Feature Processing for Text Analytics

    Publicerades: 2017-04-24
  10. Education Analytics

    Publicerades: 2017-04-17
  11. A Technical Deep Dive on Stanley, the First Self-Driving Car

    Publicerades: 2017-04-10
  12. An Introduction to Stanley, the First Self-Driving Car

    Publicerades: 2017-04-03
  13. Feature Importance

    Publicerades: 2017-03-27
  14. Space Codes!

    Publicerades: 2017-03-20
  15. Finding (and Studying) Wikipedia Trolls

    Publicerades: 2017-03-13
  16. A Sprint Through What's New in Neural Networks

    Publicerades: 2017-03-06
  17. Empirical Bayes

    Publicerades: 2017-02-20
  18. Endogenous Variables and Measuring Protest Effectiveness

    Publicerades: 2017-02-13
  19. Calibrated Models

    Publicerades: 2017-02-06
  20. Ensemble Algorithms

    Publicerades: 2017-01-23

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In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.

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