Linear Digressions

289 Episoder

1. Interview with Joel Grus

   Publisert: 10.6.2019
2. Re - Release: Factorization Machines

   Publisert: 3.6.2019
3. Re-release: Auto-generating websites with deep learning

   Publisert: 27.5.2019
4. Advice to those trying to get a first job in data science

   Publisert: 19.5.2019
5. Re - Release: Machine Learning Technical Debt

   Publisert: 12.5.2019
6. Estimating Software Projects, and Why It's Hard

   Publisert: 5.5.2019
7. The Black Hole Algorithm

   Publisert: 29.4.2019
8. Structure in AI

   Publisert: 21.4.2019
9. The Great Data Science Specialist vs. Generalist Debate

   Publisert: 15.4.2019
10. Google X, and Taking Risks the Smart Way

    Publisert: 8.4.2019
11. Statistical Significance in Hypothesis Testing

    Publisert: 1.4.2019
12. The Language Model Too Dangerous to Release

    Publisert: 25.3.2019
13. The cathedral and the bazaar

    Publisert: 17.3.2019
14. AlphaStar

    Publisert: 11.3.2019
15. Are machine learning engineers the new data scientists?

    Publisert: 4.3.2019
16. Interview with Alex Radovic, particle physicist turned machine learning researcher

    Publisert: 25.2.2019
17. K Nearest Neighbors

    Publisert: 17.2.2019
18. Not every deep learning paper is great. Is that a problem?

    Publisert: 11.2.2019
19. The Assumptions of Ordinary Least Squares

    Publisert: 3.2.2019
20. Quantile Regression

    Publisert: 28.1.2019