Springer Texts in Statistics Ser.: Introduction to Statistical Learning :…

“Introduction to Statistical Learning: with Applications in R” is a comprehensive textbook published by Springer in the series “Springer Texts in Statistics Ser.”. Written by authors Trevor Hastie, Gareth James, Robert Tibshirani, and Daniela Witten, this 607-page hardcover book covers a range of subjects including programming, probability, and statistics. With a focus on practical applications, the book includes examples and exercises using the R programming language. This textbook is a valuable resource for students and professionals looking to deepen their understanding of statistical learning techniques.