An Introduction To Statistical Learning Hardcover

An Introduction to Statistical Learning: With Applications in R, 2nd Edition by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani provides an accessible introduction to statistical learning and modern data analysis techniques.

The book covers important topics including linear regression, classification, resampling methods, regularization, tree-based methods, support vector machines, unsupervised learning, deep learning, survival analysis, and multiple testing. Each chapter includes practical applications and R-based examples to help readers apply statistical learning techniques to real-world data.

The 2nd Edition adds new chapters on deep learning, survival analysis, and multiple testing, while expanding coverage of several existing statistical learning methods.

Book Details Book Title: An Introduction to Statistical Learning: With Applications in R Edition: 2nd Edition Authors: Gareth James, Daniela Witten, Trevor Hastie & Robert Tibshirani Format: Hardcover ISBN-13: 9781071614174 ISBN-10: 1071614177 Language: English Series: Springer Texts in Statistics Subject: Statistics / Data Science / Machine Learning