Linear Digressions

289 Episodes

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

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

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

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

   Published: 7/29/2018
5. Compliance Bias

   Published: 7/22/2018
6. AI Winter

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

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

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

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

    Published: 6/18/2018
11. GDPR

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

    Published: 6/3/2018
13. Analytics Maturity

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

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

    Published: 5/7/2018
16. AutoML

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

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

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

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

    Published: 4/2/2018