Espaces pédagogiques interactifs

This series of lectures aims at describing the main notions involved in the mathematical analysis of Statistical Learning problems.

Here is the outline of the topics we plan to cover:

1. Introduction: What is Statistical learning about?
2. Concentration of Sub-Gaussian Random variables
3. Concentration of Sub-Exponential RVs and Bernstein's inequality
4. The Empirical Risk Minimization principle
5. Complexity measures
6. Davis-Kahan theorem: PCA and Spiked covariance model

Informations sur l'espace de cours

Rattachements à l'offre de formation