The Elements of Statistical Learning

Name: The Elements of Statistical Learning
SKU: 2779358
Price: 249.00 NZD
Availability: InStock

Data Mining, Inference, and Prediction, Second Edition

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Format:

Hardback

Series:

Springer Series in Statistics

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Description

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorisation, and spectral clustering. There is also a chapter on methods for "wide'' data (p bigger than n), including multiple testing and false discovery rates.

Author Biography:

Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.

Release date NZ

February 9th, 2009

Author

Audience

Professional & Vocational

Edition

2nd ed. 2009

Illustrations

604 Illustrations, color; 54 Illustrations, black and white; XXII, 745 p. 658 illus., 604 illus. in color.

Pages

745

Series

Springer Series in Statistics

Dimensions

155x235x38

ISBN-13

9780387848570

Product ID

2779358

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