Work

Classic Machine Learning Methods

Year: 2023

Type: book-chapter

Abstract: In this chapter, we present the main classic machine learning methods. A large part of the chapter is devoted to supervised learning techniques for classification and regression, including nearest neighbor methods, linear and logistic regressions, support vector machines, and tree-based algorithms. We also describe the problem of overfitting as well as strategies to overcome it. We finally provide a brief overview of unsupervised learning methods, namely, for clustering and dimensionality reduction. The chapter does not cover neural networks and deep learning as these will be presented in Chaps. 3 , 4 , 5 , and 6 .

Source: Neuromethods

DOI: 10.1007/978-1-0716-3195-9_2

Authors: Johann Faouzi, Olivier Colliot