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2001•549 pages•Published•ENG•User Reviews

The Elements of Statistical Learning

4.5/ 5
4 ratings

About This Book

Describes important statistical ideas in machine learning, data mining, and bioinformatics. Covers a broad range, from supervised learning (prediction), to unsupervised learning, including classification trees, neural networks, and support vector machines.

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Supervised learning (Machine learning)Database managementArtificial Intelligence (incl. Robotics)StatisticsArtificial intelligenceBiologyData processingComputer scienceMathematical statisticsComputer Appl. in Life SciencesProbability and Statistics in Computer ScienceStatistical Theory and Methods

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Book Details

First Published

2001

Pages

549 pages

Rating

4.5 / 5

Ratings

4

Editions

7

Publisher

Springer

Language

ENG

Status

Published

The People Behind The Book

Authors

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