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Название: An Introduction to Machine Learning, 2nd Edition
Автор: Miroslav Kubat
Издательство: Springer
Год: 2017
Страниц: 348
Формат: PDF
Размер: 10 Mb
Язык: English
This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of “boosting,” how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms.