The Elements of Statistical Learning

Ebook

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas 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 color 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 factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates.

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The Elements Of Statistical Learning


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Author by : Trevor Hastie
Languange Used : en
Release Date : 2013-11-11
Publisher by : Springer Science & Business Media

During the past decade there has been an explosion in computation and information technology. With it have com

An Introduction To Statistical Learning


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Author by : Gareth James
Languange Used : en
Release Date : 2013-06-24
Publisher by : Springer Science & Business Media

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning,

The Elements Of Statistical Learning


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Author by : CTI Reviews
Languange Used : en
Release Date : 2016-10-16
Publisher by : Cram101 Textbook Reviews

Facts101 is your complete guide to The Elements of Statistical Learning. In this book, you will learn topics s

Statistical Learning With Sparsity


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Author by : Trevor Hastie
Languange Used : en
Release Date : 2015-05-07
Publisher by : CRC Press

Discover New Methods for Dealing with High-Dimensional Data A sparse statistical model has only a small number

Statistical Learning From A Regression Perspective


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Author by : Richard A. Berk
Languange Used : en
Release Date : 2016-10-26
Publisher by : Springer

This textbook considers statistical learning applications when interest centers on the conditional distributio

Outlines And Highlights For The Elements Of Statistical Learning By Hastie Isbn


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Author by : Cram101 Textbook Reviews
Languange Used : en
Release Date : 2010-12
Publisher by : Academic Internet Pub Incorporated

Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from

Applied Predictive Modeling


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Author by : Max Kuhn
Languange Used : en
Release Date : 2013-05-17
Publisher by : Springer Science & Business Media

Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps o

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