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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) 1st ed. 2013, Corr. 7th printing 2017 Edition

4.7 out of 5 stars 851 ratings
Part of: Springer Texts in Statistics (72 Books)

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Frequently bought together

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

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)


Product details

  • Item Weight : 2.24 pounds
  • Hardcover : 440 pages
  • ISBN-10 : 1461471370
  • ISBN-13 : 978-1461471370
  • Dimensions : 6.3 x 1 x 9.3 inches
  • Publisher : Springer; 1st ed. 2013, Corr. 7th printing 2017 edition (June 25, 2013)
  • Language: : English
  • Customer Reviews:
    4.7 out of 5 stars 851 ratings
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Customer reviews

4.7 out of 5 stars
4.7 out of 5
851 global ratings
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Top reviews from the United States

Reviewed in the United States on December 16, 2017
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98 people found this helpful
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Reviewed in the United States on June 4, 2017
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69 people found this helpful
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Reviewed in the United States on February 13, 2014
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Reviewed in the United States on December 2, 2018
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Top reviews from other countries

Rahul Madhavan
5.0 out of 5 stars Love hate relationship with this book. Yet, a 5 rating with a recommended buy
Reviewed in India on June 4, 2019
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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 March 6, 2018
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8 people found this helpful
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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 March 10, 2020
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Docpappy
5.0 out of 5 stars Best statistics book I've read
Reviewed in the United Kingdom on December 12, 2018
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xenus
5.0 out of 5 stars Recommended introductory text
Reviewed in the United Kingdom on September 17, 2018
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