Linear Digressions

Un pódcast de Ben Jaffe and Katie Malone

Categorías:

289 Episodo

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

    Publicado: 19/8/2018
  2. Re - Release: How To Lose At Kaggle

    Publicado: 13/8/2018
  3. Troubling Trends In Machine Learning Scholarship

    Publicado: 6/8/2018
  4. Can Fancy Running Shoes Cause You To Run Faster?

    Publicado: 29/7/2018
  5. Compliance Bias

    Publicado: 22/7/2018
  6. AI Winter

    Publicado: 15/7/2018
  7. Rerelease: How to Find New Things to Learn

    Publicado: 8/7/2018
  8. Rerelease: Space Codes

    Publicado: 2/7/2018
  9. Rerelease: Anscombe's Quartet

    Publicado: 25/6/2018
  10. Rerelease: Hurricanes Produced

    Publicado: 18/6/2018
  11. GDPR

    Publicado: 11/6/2018
  12. Git for Data Scientists

    Publicado: 3/6/2018
  13. Analytics Maturity

    Publicado: 20/5/2018
  14. SHAP: Shapley Values in Machine Learning

    Publicado: 13/5/2018
  15. Game Theory for Model Interpretability: Shapley Values

    Publicado: 7/5/2018
  16. AutoML

    Publicado: 30/4/2018
  17. CPUs, GPUs, TPUs: Hardware for Deep Learning

    Publicado: 23/4/2018
  18. A Technical Introduction to Capsule Networks

    Publicado: 16/4/2018
  19. A Conceptual Introduction to Capsule Networks

    Publicado: 9/4/2018
  20. Convolutional Neural Nets

    Publicado: 2/4/2018

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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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