The book is devoted to one of the most practically applicable, active and rapidly developing areas of modern computer science, combining many methods from various fields of mathematics and not only mathematics - machine learning. The book discusses the basics of many basic machine learning machines: decision trees, artificial neural networks, genetic algorithms, Bayesian classifiers, clustering algorithms, and reinforcement learning.