An Introduction to Statistical Learning
with Applications in R and Python
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
- License
- Free PDF, all rights reserved (© the authors)
- Source
- statlearning.com (official)
Description
A broad, applied introduction to statistical learning: linear and logistic regression, resampling, regularization, trees and ensembles, support vector machines, and unsupervised learning, with lab exercises in R and Python.
Book information
- Language
- English
- Category
- Machine Learning
- Level
- Intermediate
- Published
- 2023
- Format
- License
- Free PDF, all rights reserved (© the authors)
- Source
- statlearning.com (official)
Topics
License
Official Free Distribution — Free PDF, all rights reserved (© the authors) (license text ↗)
This resource is listed with a link to its official source; TLP does not host the file.
The official site offers free PDF downloads of every edition but states "All Rights Reserved" with no redistribution license, so TLP links to the official page.
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