An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) 1st ed. 2013, Corr. 7th printing 2017 Edition
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"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)
- Hardcover : 440 pages
- Item Weight : 2.24 pounds
- ISBN-10 : 1461471370
- ISBN-13 : 978-1461471370
- Product Dimensions : 6.3 x 1 x 9.3 inches
- Publisher : Springer; 1st ed. 2013, Corr. 7th printing 2017 Edition (June 25, 2013)
- Language: : English
- Best Sellers Rank: #10,845 in Books (See Top 100 in Books)
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