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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) Hardcover – 29 September 2017

4.5 out of 5 stars 527 ratings

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Frequently bought together

  • An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
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  • The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
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  • Deep Learning (Adaptive Computation and Machine Learning series)
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Review

“Data and statistics are an increasingly important part of modern life, and nearly everyone would be better off with a deeper understanding of the tools that help explain our world. Even if you don’t want to become a data analyst―which happens to be one of the fastest-growing jobs out there, just so you know―these books are invaluable guides to help explain what’s going on.” (Pocket, February 23, 2018)

Review

"An Introduction to Statistical Learning (ISL)" by James, Witten, Hastie and Tibshirani is the "how to'' manual for statistical learning. Inspired by "The Elements of Statistical Learning'' (Hastie, Tibshirani and Friedman), this book provides clear and intuitive guidance on how to implement cutting edge statistical and machine learning methods. ISL makes modern methods accessible to a wide audience without requiring a background in Statistics or Computer Science. The authors give precise, practical explanations of what methods are available, and when to use them, including explicit R code. Anyone who wants to intelligently analyze complex data should own this book." (Larry Wasserman, Professor, Department of Statistics and Machine Learning Department, Carnegie Mellon University)

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Reviewed in India on 5 June 2019
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Reviewed in India on 3 February 2018
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Reviewed in India on 25 September 2019
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Top international reviews

ZigZag
5.0 out of 5 stars This is one of the best books on the cutting edge between statistics and machine ...
Reviewed in the United Kingdom on 7 March 2018
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Docpappy
5.0 out of 5 stars Best statistics book I've read
Reviewed in the United Kingdom on 13 December 2018
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wooMonkey
2.0 out of 5 stars You need a bit of maths/stats knowledge beforehand
Reviewed in the United Kingdom on 10 March 2020
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xenus
5.0 out of 5 stars Recommended introductory text
Reviewed in the United Kingdom on 17 September 2018
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W. M. A.
1.0 out of 5 stars Great book, poor delivery.
Reviewed in the United Kingdom on 25 October 2019
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Pekka Kohonen
5.0 out of 5 stars An absolute classic of statistical aspects of machine learning methods ...
Reviewed in the United Kingdom on 5 October 2017
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David Connell
5.0 out of 5 stars Great read, really enjoying this book
Reviewed in the United Kingdom on 17 February 2017
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Akeel Ahamed
5.0 out of 5 stars Amazing book on the Fundamental algorithms governing the fields of ...
Reviewed in the United Kingdom on 19 January 2018
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VISA
5.0 out of 5 stars this book is a perfect introduction to the book 'Elements of Statistical Learning'
Reviewed in the United Kingdom on 30 November 2018
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Ivan
5.0 out of 5 stars A book you must have on the shelf if you are a computer scientist
Reviewed in the United Kingdom on 4 April 2020
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Gandhis
5.0 out of 5 stars Good
Reviewed in the United Kingdom on 31 July 2018
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Inquisitive Self
5.0 out of 5 stars Five Stars
Reviewed in the United Kingdom on 30 September 2018
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Inspector
5.0 out of 5 stars Insightful!
Reviewed in the United Kingdom on 16 March 2020
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Petros Kontos
5.0 out of 5 stars Excellent
Reviewed in the United Kingdom on 4 May 2016
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rita.andotherstories
5.0 out of 5 stars An Introduction to Statistical Learning
Reviewed in Germany on 29 December 2019
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