<p>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.</p>

An Introduction to Machine Learning

Computers & Technology

Miroslav Kubat

Computer Science

Springer; 1st ed. 2015 edition (2015-07-18)

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Books by Springer; 1st ed. 2015 edition (2015-07-18)

See the best price to sell, buy or rent books by the Springer; 1st ed. 2015 edition (2015-07-18) publisher. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

An Introduction to Machine Learning