Linear Digressions

289 Folgen

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

   Vom: 4.11.2019
2. The Care and Feeding of Data Scientists: Becoming a Data Science Manager

   Vom: 28.10.2019
3. Kalman Runners

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

   Vom: 6.10.2019
5. Data storage for analytics: stars and snowflakes

   Vom: 30.9.2019
6. Data storage: transactions vs. analytics

   Vom: 23.9.2019
7. GROVER: an algorithm for making, and detecting, fake news

   Vom: 16.9.2019
8. Data science teams as innovation initiatives

   Vom: 9.9.2019
9. Can Fancy Running Shoes Cause You To Run Faster?

   Vom: 1.9.2019
10. Organizational Models for Data Scientists

    Vom: 25.8.2019
11. Data Shapley

    Vom: 19.8.2019
12. A Technical Deep Dive on Stanley, the First Self-Driving Car

    Vom: 12.8.2019
13. An Introduction to Stanley, the First Self-Driving Car

    Vom: 5.8.2019
14. Putting the "science" in data science: the scientific method, the null hypothesis, and p-hacking

    Vom: 29.7.2019
15. Interleaving

    Vom: 22.7.2019
16. Federated Learning

    Vom: 14.7.2019
17. Endogenous Variables and Measuring Protest Effectiveness

    Vom: 7.7.2019
18. Deepfakes

    Vom: 1.7.2019
19. Revisiting Biased Word Embeddings

    Vom: 24.6.2019
20. Attention in Neural Nets

    Vom: 17.6.2019