An Introduction to Statistical Learning

  • Publsiher : Springer Science & Business Media
  • Release : 24 June 2013
  • ISBN : 9781461471387
  • Page : 426 pages
  • Rating : 5/5 from 1 voters

Download or read book entitled An Introduction to Statistical Learning written by Gareth James and published by Springer Science & Business Media online. This book was released on 24 June 2013 with total pages 426. Available in PDF, EPUB and Kindle. Get best books that you want by click Get Book Button and Read as many books as you like.

Book Excerpt : 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.

An Introduction to Statistical Learning

An Introduction to Statistical Learning
Author: Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani
Publisher: Springer Science & Business Media
Relase: 2013-06-24
ISBN: 9781461471387
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An Introduction to Statistical Learning

An Introduction to Statistical Learning
Author: Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani
Publisher: Springer
Relase: 2014-07-11
ISBN: 1461471370
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An Introduction to Statistical Learning

An Introduction to Statistical Learning
Author: Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani
Publisher: Unknown
Relase: 2021-12-09
ISBN: OCLC:1020513587
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The Elements of Statistical Learning

The Elements of Statistical Learning
Author: Trevor Hastie,Robert Tibshirani,Jerome Friedman
Publisher: Springer Science & Business Media
Relase: 2013-11-11
ISBN: 9780387216065
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An Elementary Introduction to Statistical Learning Theory

An Elementary Introduction to Statistical Learning Theory
Author: Sanjeev Kulkarni,Gilbert Harman
Publisher: John Wiley & Sons
Relase: 2011-06-09
ISBN: 1118023463
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Introduction to Statistical Machine Learning

Introduction to Statistical Machine Learning
Author: Masashi Sugiyama
Publisher: Morgan Kaufmann
Relase: 2015-10-31
ISBN: 9780128023501
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Statistical Learning with Sparsity

Statistical Learning with Sparsity
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Publisher: CRC Press
Relase: 2015-05-07
ISBN: 9781498712170
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Statistical Learning from a Regression Perspective

Statistical Learning from a Regression Perspective
Author: Richard A. Berk
Publisher: Springer Nature
Relase: 2020-06-29
ISBN: 9783030401894
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Machine Learning and Data Science

Machine Learning and Data Science
Author: Daniel D. Gutierrez
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Relase: 2015-11-01
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The Nature of Statistical Learning Theory

The Nature of Statistical Learning Theory
Author: Vladimir Vapnik
Publisher: Springer Science & Business Media
Relase: 2013-06-29
ISBN: 9781475732641
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A Computational Approach to Statistical Learning

A Computational Approach to Statistical Learning
Author: Taylor Arnold,Michael Kane,Bryan W. Lewis
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Relase: 2019-01-23
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Mathematics for Machine Learning

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Author: Marc Peter Deisenroth,A. Aldo Faisal,Cheng Soon Ong
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Relase: 2020-03-31
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An Introduction to Statistics with Python

An Introduction to Statistics with Python
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Introduction to Statistical Relational Learning

Introduction to Statistical Relational Learning
Author: Lise Getoor,Ben Taskar
Publisher: MIT Press
Relase: 2019-09-22
ISBN: 9780262538688
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Introduction to Statistical and Machine Learning Methods for Data Science

Introduction to Statistical and Machine Learning Methods for Data Science
Author: Carlos Andre Reis Pinheiro,Mike Patetta
Publisher: SAS Institute
Relase: 2021-08-06
ISBN: 9781953329622
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