Managing Uncertainty
For any comment or request, send an email to Frederic Pennerath at supelec.fr
Summary:

This course is divided in two parts: the first part of the lectures is about Bayesian Machine Learning and is given by myself. The second part is about Reinforcement Learning and is given by Matthieu Geist.
Bayesian Machine Learning is the application of the general and sound principle of Bayesian estimation to various machine learning problems.
Slides of the lectures (Part 1 only)
Lectures 1 & 2
Lecture 3 & 4
Lectures 5 & 6
Lectures 7 & 8