Linear Digressions

En podkast av Ben Jaffe and Katie Malone

Kategorier:

289 Episoder

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

    Publisert: 19.8.2018
  2. Re - Release: How To Lose At Kaggle

    Publisert: 13.8.2018
  3. Troubling Trends In Machine Learning Scholarship

    Publisert: 6.8.2018
  4. Can Fancy Running Shoes Cause You To Run Faster?

    Publisert: 29.7.2018
  5. Compliance Bias

    Publisert: 22.7.2018
  6. AI Winter

    Publisert: 15.7.2018
  7. Rerelease: How to Find New Things to Learn

    Publisert: 8.7.2018
  8. Rerelease: Space Codes

    Publisert: 2.7.2018
  9. Rerelease: Anscombe's Quartet

    Publisert: 25.6.2018
  10. Rerelease: Hurricanes Produced

    Publisert: 18.6.2018
  11. GDPR

    Publisert: 11.6.2018
  12. Git for Data Scientists

    Publisert: 3.6.2018
  13. Analytics Maturity

    Publisert: 20.5.2018
  14. SHAP: Shapley Values in Machine Learning

    Publisert: 13.5.2018
  15. Game Theory for Model Interpretability: Shapley Values

    Publisert: 7.5.2018
  16. AutoML

    Publisert: 30.4.2018
  17. CPUs, GPUs, TPUs: Hardware for Deep Learning

    Publisert: 23.4.2018
  18. A Technical Introduction to Capsule Networks

    Publisert: 16.4.2018
  19. A Conceptual Introduction to Capsule Networks

    Publisert: 9.4.2018
  20. Convolutional Neural Nets

    Publisert: 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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