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 : Trevor Hastie
Languange Used : en
Release Date : 2009
Publisher by :

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

The Nature Of Statistical Learning Theory


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Author by : Vladimir N. Vapnik
Languange Used : en
Release Date : 2013-04-17
Publisher by : Springer Science & Business Media

The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning a

Generalizability Theory


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Author by : Robert L. Brennan
Languange Used : en
Release Date : 2013-11-11
Publisher by : Springer Science & Business Media

Generalizability theory offers an extensive conceptual framework and a powerful set of statistical procedures

Computer Age Statistical Inference


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Author by : Bradley Efron
Languange Used : en
Release Date : 2016-07-20
Publisher by : Cambridge University Press

Take an exhilarating journey through the modern revolution in statistics with two of the ringleaders.

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