Linear Digressions

289 Afleveringen

1. Network effects re-release: when the power of a public health measure lies in widespread adoption

   Gepubliceerd: 15-3-2020
2. Causal inference when you can't experiment: difference-in-differences and synthetic controls

   Gepubliceerd: 9-3-2020
3. Better know a distribution: the Poisson distribution

   Gepubliceerd: 2-3-2020
4. The Lottery Ticket Hypothesis

   Gepubliceerd: 23-2-2020
5. Interesting technical issues prompted by GDPR and data privacy concerns

   Gepubliceerd: 17-2-2020
6. Thinking of data science initiatives as innovation initiatives

   Gepubliceerd: 10-2-2020
7. Building a curriculum for educating data scientists: Interview with Prof. Xiao-Li Meng

   Gepubliceerd: 2-2-2020
8. Running experiments when there are network effects

   Gepubliceerd: 27-1-2020
9. Zeroing in on what makes adversarial examples possible

   Gepubliceerd: 20-1-2020
10. Unsupervised Dimensionality Reduction: UMAP vs t-SNE

    Gepubliceerd: 13-1-2020
11. Data scientists: beware of simple metrics

    Gepubliceerd: 5-1-2020
12. Communicating data science, from academia to industry

    Gepubliceerd: 30-12-2019
13. Optimizing for the short-term vs. the long-term

    Gepubliceerd: 23-12-2019
14. Interview with Prof. Andrew Lo, on using data science to inform complex business decisions

    Gepubliceerd: 16-12-2019
15. Using machine learning to predict drug approvals

    Gepubliceerd: 8-12-2019
16. Facial recognition, society, and the law

    Gepubliceerd: 2-12-2019
17. Lessons learned from doing data science, at scale, in industry

    Gepubliceerd: 25-11-2019
18. Varsity A/B Testing

    Gepubliceerd: 18-11-2019
19. The Care and Feeding of Data Scientists: Growing Careers

    Gepubliceerd: 11-11-2019
20. The Care and Feeding of Data Scientists: Recruiting and Hiring Data Scientists

    Gepubliceerd: 4-11-2019