Part I Introduction and preliminaries
1 Introduction to machine learning
Machine learning aims at building algorithms that autonomously learn how to perform a task from examples. This definition is rather vague on purpose, but to make it slightly clearer, by “autonomously” we mean that no expert is teaching (or coding by hand) the solution; by “learn” we mean that we have a measure of performance of the algorithm output on the task. In this chapter, we wish to give a general and accessible picture of machine learning through a mathematical formalism. We will introduce the notation, setup, and essential concepts of the field without dwelling on details. The current chapter should provide enough formalism and intuition to make the forthcoming ...
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