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Machine Learning Algorithms Overview 2018 by Selva Aym is a document available to read on EtoBox.

What is Machine Learning Algorithms Overview 2018 about?

This document provides an overview of machine learning algorithms and techniques across 10 chapters. It introduces common machine learning tasks like classification and clustering. It then covers various probabilistic, nearest neighbor, and discriminant analysis models. Following chapters describe support vector machines, decision trees, ensemble methods, and evolutionary learning approaches. The document serves as a high-level guide to foundational machine learning algorithms and their applications.

Author

Selva Aym

Language

EN