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This book provides an introduction to statistical learning with applications in R. It covers topics such as statistical learning, data mining, and linear regression analysis. The book is written by Trevor Hastie, Gareth James, Robert Tibshirani, and Daniela Witten, and was published by Springer NY in 2017. The hardcover textbook is part of the Springer Texts in Statistics Ser. series, with acid-free paper and a total of XIV, 426 pages. It has a size of 9.5in. x 6.4in. x 1in. and weighs 32 oz. The book is suitable for adults and further education, with an advanced level. It is available in English and was published in the United States. Book in good condition. See listing photos for details
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