Cover of The Elements of Statistical Learning

The Elements of Statistical Learning

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About “The Elements of Statistical Learning”

This book describes important statistical ideas used in machine learning, data mining, and bioinformatics. It covers a broad range of topics, from supervised learning (prediction) to unsupervised learning, including classification trees, neural networks, and support vector machines. This is the second edition, published in 2009.

Book details

First published
2009
Latest edition
2013 · ISBN 9780387216065
Pages
541
View more editions (5)
CoverEditionYearISBN
Elements of Statistical Learning20139780387216065Buy on Amazon
The Elements of Statistical Learning20099780387848570Buy on Amazon
The Elements of Statistical Learning20039780387952840Buy on Amazon
The elements of statistical learning20010387952845Buy on Amazon
The elements of statistical learning20010387952845Buy on Amazon

Frequently asked questions

How many pages is The Elements of Statistical Learning?

The Elements of Statistical Learning by Jerome Friedman has 541 pages.