Linear Digressions

289 Folgen

1. Interview with Joel Grus

   Vom: 10.6.2019
2. Re - Release: Factorization Machines

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

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

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

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

   Vom: 5.5.2019
7. The Black Hole Algorithm

   Vom: 29.4.2019
8. Structure in AI

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

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

    Vom: 8.4.2019
11. Statistical Significance in Hypothesis Testing

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

    Vom: 25.3.2019
13. The cathedral and the bazaar

    Vom: 17.3.2019
14. AlphaStar

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

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

    Vom: 25.2.2019
17. K Nearest Neighbors

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

    Vom: 11.2.2019
19. The Assumptions of Ordinary Least Squares

    Vom: 3.2.2019
20. Quantile Regression

    Vom: 28.1.2019