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The "Introduction to Statistical Learning with Applications in R (2nd ed)" is a comprehensive textbook authored by Trevor Hastie, Gareth James, Robert Tibshirani, and Daniela Witten. Published by Springer, this hardcover book covers mathematical and statistical software, probability and statistics, AI and semantics, and general topics related to intelligence. With 607 pages, this second edition provides students and professionals with a thorough introduction to statistical learning techniques, making it an essential resource for those looking to deepen their understanding of data analytics and machine learning in the context of R.
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