Latest


2024.12.17: Resources sessions 4/5.
2024.12.11: Board session 2+resources session 3.
2024.12.09: Board for session 1.
2024.12.08: Course webpage online.

Instructors

Paul Caillon
paul.caillon@dauphine.psl.eu

Clément Royer
clement.royer@lamsade.dauphine.fr

Back to the general teaching page

Optimization for Machine Learning

M2 IASD Apprentissage, Université Paris Dauphine-PSL, 2024-2025


Aim of the course

     Study the main optimization techniques used in machine learning and data science, as well as their underlying principles.

Course material

     Lecture notes (updated regularly) PDF

     Board for lecture 1 (in French) PDF

     Board for lecture 2 (in French) PDF

Tutorials and labs (in French)

     Lab on gradient descent Notebook

     Exercises on gradient descent PDF

     Lab on stochastic gradient Notebook

     Exercises on stochastic gradient PDF



Materials on this page are available under Creative Commons CC BY-NC 4.0 license.
La version française de cette page se trouve ici.