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arXiv · 2310.11470

Classic machine learning methods

Johann Faouzi·Olivier Colliot
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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.

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Johann Faouzi, Olivier Colliot. 2023-05-24. Classic machine learning methods. https://arxiv.org/abs/2310.11470

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