An Introduction to Machine Learning (Paperback, Softcover reprint of the original 1st ed. 2015)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	October 2016
First published:	2015
Authors:	Miroslav Kubat
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Paperback
Pages:	291
Edition:	Softcover reprint of the original 1st ed. 2015
ISBN-13:	978-3-319-34886-5
Categories:	Books > Computing & IT > General
LSN:	3-319-34886-8
Barcode:	9783319348865

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