Algèbre linéaire (Automne 2023)
Notes de cours (version modifiée du polycopié de Guillaume Legendre)
Notes
Some teaching notes on basic ML algorithms.
Mathematical Tools for Data Science (Spring 2022)
In Spring 2021, I taught with Carlos Fernandez-Granda the Mathematical Tools for Data Science course in the Master’s in Data Science at NYU (DS-GA 1013).
The full lecture notes can be found here.
| Week | Lecture notes | Manuscript notes | Homeworks | Solutions |
|---|---|---|---|---|
| 1 | Empirical risk minimization | Manuscript 1 | Homework 1 | Solution 1 |
| 2 | Convex optimization | Manuscript 2 | Homework 2 | Solution 2 |
| 3 | Kernel methods | Manuscript 3 | Homework 3 | Solution 3 |
| 4 | Local averaging methods | Manuscript 4 | Homework 4 | Solution 4 |
| 5 | Clustering methods | Manuscript 5 | Homework 5 | Solution 5 |
| 5 | Stochastic convex optimization | Manuscript 6 | Homework 6 | Solution 6 |