ENGLISH

An Introduction to Machine Learning

By Miroslav Kubat (auth.)

Book information

Publisher
Springer International Publishing
Year
2015
ISBN
978-3-319-20009-5, 978-3-319-20010-1
DOI
10.1007/978-3-319-20010-1
Language
english
Format
PDF
Filesize
4 MB (4269898 bytes)
Edition
1
Pages
XIII, 291\296
Time added
2015-11-25 16:51:03
Artificial Intelligence (incl. Robotics); Simulati

Description

This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting 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.

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