An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform.

Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

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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,

An Introduction To Statistical Learning


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Author by : Gareth James
Languange Used : en
Release Date : 2014-07-11
Publisher by : Springer

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

An Introduction To Statistics With Python


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Author by : Thomas Haslwanter
Languange Used : en
Release Date : 2016-07-20
Publisher by : Springer

This textbook provides an introduction to the free software Python and its use for statistical data analysis.

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

Machine Learning And Data Science


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Author by : Daniel D. Gutierrez
Languange Used : en
Release Date : 2015-11-01
Publisher by : Technics Publications

A practitioner’s tools have a direct impact on the success of his or her work. This book will provide the da

All Of Statistics


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Author by : Larry Wasserman
Languange Used : en
Release Date : 2013-12-11
Publisher by : Springer Science & Business Media

Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the boo

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

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