Linear Digressions

289 Episoade

1. Interview with Joel Grus

   Publicat: 10.06.2019
2. Re - Release: Factorization Machines

   Publicat: 03.06.2019
3. Re-release: Auto-generating websites with deep learning

   Publicat: 27.05.2019
4. Advice to those trying to get a first job in data science

   Publicat: 19.05.2019
5. Re - Release: Machine Learning Technical Debt

   Publicat: 12.05.2019
6. Estimating Software Projects, and Why It's Hard

   Publicat: 05.05.2019
7. The Black Hole Algorithm

   Publicat: 29.04.2019
8. Structure in AI

   Publicat: 21.04.2019
9. The Great Data Science Specialist vs. Generalist Debate

   Publicat: 15.04.2019
10. Google X, and Taking Risks the Smart Way

    Publicat: 08.04.2019
11. Statistical Significance in Hypothesis Testing

    Publicat: 01.04.2019
12. The Language Model Too Dangerous to Release

    Publicat: 25.03.2019
13. The cathedral and the bazaar

    Publicat: 17.03.2019
14. AlphaStar

    Publicat: 11.03.2019
15. Are machine learning engineers the new data scientists?

    Publicat: 04.03.2019
16. Interview with Alex Radovic, particle physicist turned machine learning researcher

    Publicat: 25.02.2019
17. K Nearest Neighbors

    Publicat: 17.02.2019
18. Not every deep learning paper is great. Is that a problem?

    Publicat: 11.02.2019
19. The Assumptions of Ordinary Least Squares

    Publicat: 03.02.2019
20. Quantile Regression

    Publicat: 28.01.2019