Classic machine learning methods
Machine Learning
2023-10-19 v1 Artificial Intelligence
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.
Cite
@article{arxiv.2310.11470,
title = {Classic machine learning methods},
author = {Johann Faouzi and Olivier Colliot},
journal= {arXiv preprint arXiv:2310.11470},
year = {2023}
}