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This textbook, titled "An Introduction to Statistical Learning: with Applications in R", is a valuable resource for anyone interested in statistics. It was published by Springer New York in 2017 and is part of the Springer Texts in Statistics Ser. series. The book, written by Trevor Hastie, Gareth James, Robert Tibshirani, and Daniela Witten, is a hardcover format and has xiv, 426 pages. The book covers various topics related to statistics, with a focus on statistical learning. It includes exercises and examples that can be replicated using R. This textbook is perfect for students and professionals alike who are looking to expand their knowledge in the field of statistics.
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