Linear Digressions

289 Episoade

1. The Care and Feeding of Data Scientists: Recruiting and Hiring Data Scientists

   Publicat: 04.11.2019
2. The Care and Feeding of Data Scientists: Becoming a Data Science Manager

   Publicat: 28.10.2019
3. Kalman Runners

   Publicat: 13.10.2019
4. What's *really* so hard about feature engineering?

   Publicat: 06.10.2019
5. Data storage for analytics: stars and snowflakes

   Publicat: 30.09.2019
6. Data storage: transactions vs. analytics

   Publicat: 23.09.2019
7. GROVER: an algorithm for making, and detecting, fake news

   Publicat: 16.09.2019
8. Data science teams as innovation initiatives

   Publicat: 09.09.2019
9. Can Fancy Running Shoes Cause You To Run Faster?

   Publicat: 01.09.2019
10. Organizational Models for Data Scientists

    Publicat: 25.08.2019
11. Data Shapley

    Publicat: 19.08.2019
12. A Technical Deep Dive on Stanley, the First Self-Driving Car

    Publicat: 12.08.2019
13. An Introduction to Stanley, the First Self-Driving Car

    Publicat: 05.08.2019
14. Putting the "science" in data science: the scientific method, the null hypothesis, and p-hacking

    Publicat: 29.07.2019
15. Interleaving

    Publicat: 22.07.2019
16. Federated Learning

    Publicat: 14.07.2019
17. Endogenous Variables and Measuring Protest Effectiveness

    Publicat: 07.07.2019
18. Deepfakes

    Publicat: 01.07.2019
19. Revisiting Biased Word Embeddings

    Publicat: 24.06.2019
20. Attention in Neural Nets

    Publicat: 17.06.2019