ENGLISH

An introduction to machine learning

By Kubat , Miroslav

Book information

Publisher
Springer
Year
2015
ISBN
3319200097, 978-3-319-20009-5, 978-3-319-20010-1, 3319200100
DOI
10.1007/978-3-319-20010-1
Language
english
Format
PDF
Filesize
2 MB (2472158 bytes)
Edition
1st ed. 2015
Pages
291\296
Library
kolxoz
Time added
2016-05-22 07:20:00
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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