Linear Digressions

289 Avsnitt

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

   Publicerades: 2019-11-04
2. The Care and Feeding of Data Scientists: Becoming a Data Science Manager

   Publicerades: 2019-10-28
3. Kalman Runners

   Publicerades: 2019-10-13
4. What's *really* so hard about feature engineering?

   Publicerades: 2019-10-06
5. Data storage for analytics: stars and snowflakes

   Publicerades: 2019-09-30
6. Data storage: transactions vs. analytics

   Publicerades: 2019-09-23
7. GROVER: an algorithm for making, and detecting, fake news

   Publicerades: 2019-09-16
8. Data science teams as innovation initiatives

   Publicerades: 2019-09-09
9. Can Fancy Running Shoes Cause You To Run Faster?

   Publicerades: 2019-09-01
10. Organizational Models for Data Scientists

    Publicerades: 2019-08-25
11. Data Shapley

    Publicerades: 2019-08-19
12. A Technical Deep Dive on Stanley, the First Self-Driving Car

    Publicerades: 2019-08-12
13. An Introduction to Stanley, the First Self-Driving Car

    Publicerades: 2019-08-05
14. Putting the "science" in data science: the scientific method, the null hypothesis, and p-hacking

    Publicerades: 2019-07-29
15. Interleaving

    Publicerades: 2019-07-22
16. Federated Learning

    Publicerades: 2019-07-14
17. Endogenous Variables and Measuring Protest Effectiveness

    Publicerades: 2019-07-07
18. Deepfakes

    Publicerades: 2019-07-01
19. Revisiting Biased Word Embeddings

    Publicerades: 2019-06-24
20. Attention in Neural Nets

    Publicerades: 2019-06-17