Linear Digressions

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