Fundamental problems in statistical physics XIV: Lecture on Machine Learning

Abstract

The recent progresses in Machine Learning opened the door to actual applications of learning algorithms but also, to new research directions both in the field of Machine Learning directly and at the edges with other disciplines. The case that interests us is the interface with physics, and more specifically statistical physics. In this short lecture, I will try to present first a brief introduction to Machine Learning from the angle of neural networks. After explaining quickly the based model and the global aspects of the training procedure, I will discuss into more detail two examples to show some interesting developments that can be done from the statistical physics perspective.