[PDF/ePUB] An Introduction to Statistical Learning – Gareth James

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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.

Details of e-book An Introduction to Statistical Learning

  • Author(s):
  • Title: An Introduction to Statistical Learning
  • Rating: 4.6 out of 5 base on 1765 reviews
  • Publisher: Springer; 1st ed. 2013, Corr. 7th printing 2017 edition (June 25, 2013)
  • ISBN-10: 1461471370
  • ISBN-13: 9781461471370
  • Language: English
  • Print length: 440 pages
  • Categories: Science & Math

Readers' Opinions
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Sarah Franklin
Very well written, and thought out. I really enjoyed this book and this was well worth the read.
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Rosa Bax
All tips and instructions in the book are clearly explained and backed up with intelligent logic of why things should be done a certain way. Before reading this book, I had no idea how wrong my profile was, and now equipped with more knowledge and the benefit of insight, I can now understand why my profile would never work for attracting potential clients.
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Laura Hill
It's easy to read, really rewarding and best of all it provides plenty of examples to figure it out.


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