An Introduction to Statistical Learning with Applications in R
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
- Edition
- 1st
- Publisher
- Springer
- Year
- 2013
- ISBN-13
- 9781461471370
An Introduction to Statistical Learning with Applications in R (1st edition) by Gareth James et al. is a canonical statistics textbook. Recommended reading in courses at Stanford, Georgia Tech, UW. Published by Springer in 2013. Compare new, used, and international prices across Amazon, eBay, AbeBooks, Alibris, and Pearson InformIT to find the cheapest copy.
Where to buy
Click through to each retailer to see live pricing. The commission they pay us is already baked into their margin — the price you pay is the same whether you come through us or not. Higher commission rates never move a retailer up our rankings. See our affiliate disclosure.
Live price comparison (with the cheapest option highlighted automatically) ships with our price-fetching cron in summer 2026. Until then, clicking through searches the retailer by ISBN.
More statistics textbooks
Other canonical titles in the same field — compare prices on each across the same five retailers.
All of Statistics: A Concise Course in Statistical Inference
Larry Wasserman
1st Edition
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Aurélien Géron
2nd Edition
Pattern Recognition and Machine Learning
Christopher M. Bishop
1st Edition
Probabilistic Graphical Models: Principles and Techniques
Daphne Koller, Nir Friedman
1st Edition
Probabilistic Machine Learning: Advanced Topics
Kevin P. Murphy
1st Edition
Probabilistic Machine Learning: An Introduction
Kevin P. Murphy
1st Edition