Linear Digressions

289 Avsnitt

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

   Publicerades: 2018-08-19
2. Re - Release: How To Lose At Kaggle

   Publicerades: 2018-08-13
3. Troubling Trends In Machine Learning Scholarship

   Publicerades: 2018-08-06
4. Can Fancy Running Shoes Cause You To Run Faster?

   Publicerades: 2018-07-29
5. Compliance Bias

   Publicerades: 2018-07-22
6. AI Winter

   Publicerades: 2018-07-15
7. Rerelease: How to Find New Things to Learn

   Publicerades: 2018-07-08
8. Rerelease: Space Codes

   Publicerades: 2018-07-02
9. Rerelease: Anscombe's Quartet

   Publicerades: 2018-06-25
10. Rerelease: Hurricanes Produced

    Publicerades: 2018-06-18
11. GDPR

    Publicerades: 2018-06-11
12. Git for Data Scientists

    Publicerades: 2018-06-03
13. Analytics Maturity

    Publicerades: 2018-05-20
14. SHAP: Shapley Values in Machine Learning

    Publicerades: 2018-05-13
15. Game Theory for Model Interpretability: Shapley Values

    Publicerades: 2018-05-07
16. AutoML

    Publicerades: 2018-04-30
17. CPUs, GPUs, TPUs: Hardware for Deep Learning

    Publicerades: 2018-04-23
18. A Technical Introduction to Capsule Networks

    Publicerades: 2018-04-16
19. A Conceptual Introduction to Capsule Networks

    Publicerades: 2018-04-09
20. Convolutional Neural Nets

    Publicerades: 2018-04-02