Linear Digressions

289 Avsnitt

1. Interview with Joel Grus

   Publicerades: 2019-06-10
2. Re - Release: Factorization Machines

   Publicerades: 2019-06-03
3. Re-release: Auto-generating websites with deep learning

   Publicerades: 2019-05-27
4. Advice to those trying to get a first job in data science

   Publicerades: 2019-05-19
5. Re - Release: Machine Learning Technical Debt

   Publicerades: 2019-05-12
6. Estimating Software Projects, and Why It's Hard

   Publicerades: 2019-05-05
7. The Black Hole Algorithm

   Publicerades: 2019-04-29
8. Structure in AI

   Publicerades: 2019-04-21
9. The Great Data Science Specialist vs. Generalist Debate

   Publicerades: 2019-04-15
10. Google X, and Taking Risks the Smart Way

    Publicerades: 2019-04-08
11. Statistical Significance in Hypothesis Testing

    Publicerades: 2019-04-01
12. The Language Model Too Dangerous to Release

    Publicerades: 2019-03-25
13. The cathedral and the bazaar

    Publicerades: 2019-03-17
14. AlphaStar

    Publicerades: 2019-03-11
15. Are machine learning engineers the new data scientists?

    Publicerades: 2019-03-04
16. Interview with Alex Radovic, particle physicist turned machine learning researcher

    Publicerades: 2019-02-25
17. K Nearest Neighbors

    Publicerades: 2019-02-17
18. Not every deep learning paper is great. Is that a problem?

    Publicerades: 2019-02-11
19. The Assumptions of Ordinary Least Squares

    Publicerades: 2019-02-03
20. Quantile Regression

    Publicerades: 2019-01-28