The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie, Jerome Friedman, Robert Tibshirani (Hardback, 2009)

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The Elements of Statistical Learning Data Mining, Inference, and Prediction, Second Edition by Trevor Hastie 9780387848570 (Hardback, 2009) Delivery Australian shipping is usually within 7 to 10 working days.

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Description

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 t covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, n-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.

Key Features

Author(s)
Jerome Friedman, Robert Tibshirani, Trevor Hastie
Publisher
Springer-Verlag New York Inc.
Date of Publication
09/02/2009
Language
English
Format
Hardback
ISBN-10
0387848576
ISBN-13
9780387848570
Subject
Computing: Professional & Programming
Series Title
Springer Series in Statistics

Publication Data

Place of Publication
New York, NY
Country of Publication
United States
Imprint
Springer-Verlag New York Inc.
Content Note
36 black & white illustrations, 604 colour illustrations, biography

Dimensions

Weight
1429 g
Width
155 mm
Height
235 mm
Spine
38 mm

Editorial Details

Edition Statement
2nd ed. 2009. Corr. 7th printing 2013

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The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie, Jerome Friedman, Robert Tibshirani (Hardback, 2009)

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item 1 The Elements of Statistical Learning: Data Mining, Inference, and Prediction... -The Elements of Statistical Learning: Data Mining, Inference, and Prediction...

item 2 The Elements of Statistical Learning: Data Mining, Inference, and Prediction -The Elements of Statistical Learning: Data Mining, Inference, and Prediction

item 3 The Elements of Statistical Learning: Data Mining, Inference, and Prediction -The Elements of Statistical Learning: Data Mining, Inference, and Prediction

item 4 NEW Elements Of Statistical Learning by Jerome Friedman BOOK (Hardback) -NEW Elements Of Statistical Learning by Jerome Friedman BOOK (Hardback)

item 5 The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Sp -The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Sp

item 6 Elements Of Statistical Learning: Data Mining; Inference And Prediction, 2Nd Edi -Elements Of Statistical Learning: Data Mining; Inference And Prediction, 2Nd Edi

item 7 The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Se -The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Se

About this product

Description

Key Features

Publication Data

Dimensions

Editorial Details

Best-selling in Non-Fiction Books

The Subtle Art of Not Giving a F*Ck: A Counterintuitive Approach to Living a Good Life by Mark Manson (Paperback, 2016)

12 Rules for Life an Antidote to Chaos by Peterson Jordan B. 0241351642 The

Diagnostic and Statistical Manual of Mental Disorders (DSM-5) by American Psychiatric Association (Paperback, 2013)

The Art of War by Sun Tzu (Paperback, 2011)

5 Love Languages: The Secret to Love That Lasts by Gary Chapman (Paperback, 2014)

Good Night Stories for Rebel Girls by Elena Favilli, Francesca Cavallo (Hardback, 2017)

Financial Management: Principles and Applications by Sheridan Titman, John D. Martin, Tony Martin, Arthur J. Keown (Paperback, 2015)

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