Linear Digressions

289 Episodes

1. Interview with Joel Grus

   Published: 10/06/2019
2. Re - Release: Factorization Machines

   Published: 3/06/2019
3. Re-release: Auto-generating websites with deep learning

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

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

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

   Published: 5/05/2019
7. The Black Hole Algorithm

   Published: 29/04/2019
8. Structure in AI

   Published: 21/04/2019
9. The Great Data Science Specialist vs. Generalist Debate

   Published: 15/04/2019
10. Google X, and Taking Risks the Smart Way

    Published: 8/04/2019
11. Statistical Significance in Hypothesis Testing

    Published: 1/04/2019
12. The Language Model Too Dangerous to Release

    Published: 25/03/2019
13. The cathedral and the bazaar

    Published: 17/03/2019
14. AlphaStar

    Published: 11/03/2019
15. Are machine learning engineers the new data scientists?

    Published: 4/03/2019
16. Interview with Alex Radovic, particle physicist turned machine learning researcher

    Published: 25/02/2019
17. K Nearest Neighbors

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

    Published: 11/02/2019
19. The Assumptions of Ordinary Least Squares

    Published: 3/02/2019
20. Quantile Regression

    Published: 28/01/2019