Linear Digressions

A podcast by Ben Jaffe and Katie Malone

Categories:

289 Episoade

  1. Anscombe's Quartet

    Publicat: 19.06.2017
  2. Traffic Metering Algorithms

    Publicat: 12.06.2017
  3. Page Rank

    Publicat: 05.06.2017
  4. Fractional Dimensions

    Publicat: 29.05.2017
  5. Things You Learn When Building Models for Big Data

    Publicat: 22.05.2017
  6. How to Find New Things to Learn

    Publicat: 15.05.2017
  7. Federated Learning

    Publicat: 08.05.2017
  8. Word2Vec

    Publicat: 01.05.2017
  9. Feature Processing for Text Analytics

    Publicat: 24.04.2017
  10. Education Analytics

    Publicat: 17.04.2017
  11. A Technical Deep Dive on Stanley, the First Self-Driving Car

    Publicat: 10.04.2017
  12. An Introduction to Stanley, the First Self-Driving Car

    Publicat: 03.04.2017
  13. Feature Importance

    Publicat: 27.03.2017
  14. Space Codes!

    Publicat: 20.03.2017
  15. Finding (and Studying) Wikipedia Trolls

    Publicat: 13.03.2017
  16. A Sprint Through What's New in Neural Networks

    Publicat: 06.03.2017
  17. Empirical Bayes

    Publicat: 20.02.2017
  18. Endogenous Variables and Measuring Protest Effectiveness

    Publicat: 13.02.2017
  19. Calibrated Models

    Publicat: 06.02.2017
  20. Ensemble Algorithms

    Publicat: 23.01.2017

9 / 15

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

Visit the podcast's native language site