Linear Digressions

A podcast by Ben Jaffe and Katie Malone

Categories:

289 Episoade

  1. Agile Development for Data Scientists, Part 1: The Good

    Publicat: 19.08.2018
  2. Re - Release: How To Lose At Kaggle

    Publicat: 13.08.2018
  3. Troubling Trends In Machine Learning Scholarship

    Publicat: 06.08.2018
  4. Can Fancy Running Shoes Cause You To Run Faster?

    Publicat: 29.07.2018
  5. Compliance Bias

    Publicat: 22.07.2018
  6. AI Winter

    Publicat: 15.07.2018
  7. Rerelease: How to Find New Things to Learn

    Publicat: 08.07.2018
  8. Rerelease: Space Codes

    Publicat: 02.07.2018
  9. Rerelease: Anscombe's Quartet

    Publicat: 25.06.2018
  10. Rerelease: Hurricanes Produced

    Publicat: 18.06.2018
  11. GDPR

    Publicat: 11.06.2018
  12. Git for Data Scientists

    Publicat: 03.06.2018
  13. Analytics Maturity

    Publicat: 20.05.2018
  14. SHAP: Shapley Values in Machine Learning

    Publicat: 13.05.2018
  15. Game Theory for Model Interpretability: Shapley Values

    Publicat: 07.05.2018
  16. AutoML

    Publicat: 30.04.2018
  17. CPUs, GPUs, TPUs: Hardware for Deep Learning

    Publicat: 23.04.2018
  18. A Technical Introduction to Capsule Networks

    Publicat: 16.04.2018
  19. A Conceptual Introduction to Capsule Networks

    Publicat: 09.04.2018
  20. Convolutional Neural Nets

    Publicat: 02.04.2018

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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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