Introduction

Cambridge University Press eBooks, pp. 1–13

Abstract

In this chapter, we introduce the reader to basic concepts in machine learning. We start by defining the artificial intelligence, machine learning, and deep learning. We give a historical viewpoint on the field, also from the perspective of statistical physics. Then, we give a very basic introduction to different tasks that are amenable for machine learning such as regression or classification and explain various types of learning. We end the chapter by explaining how to read the book and how chapters depend on each other.

Authors 2

1. Borja Requena

   Institute of Photonic Sciences

   Affiliation as printed

   ICFO - The Institute of Photonic Sciences

2. Marylou Gabrié

   Institut Polytechnique de Paris

   Affiliation as printed

   Institut Polytechnique de Paris