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Dive into the world of data analysis and machine learning with "An Introduction to Statistical Learning: with Applications in R" from the Springer Texts in Statistics Series. Authored by esteemed experts Trevor Hastie, Gareth James, Robert Tibshirani, and Daniela Witten, this text is a crucial resource for students and practitioners alike, seeking a comprehensive understanding of statistical learning methods.This hardcover edition, published in 2021, is an English-language textbook that explores a variety of topics including mathematical and statistical software, as well as applications in R. Whether you're pursuing a career in computers or mathematics, this book is an essential addition to your collection.
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