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"Introduction to Statistical Learning with Applications in R" is a comprehensive textbook published by Springer in 2021. Written by authors Trevor Hastie, Gareth James, Robert Tibshirani, and Daniela Witten, this book covers a wide range of statistical learning topics with a focus on R. With 607 pages and a hardcover format, the textbook is designed for students and professionals seeking a deeper understanding of mathematical and statistical concepts. The authors provide practical examples and insights to help readers apply these concepts in real-world scenarios, making it a valuable resource for those interested in computing, mathematics, and statistical software.
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