Risk & quantAn Introduction to Statistical LearningGareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan TaylorTopFreeBooks

An Introduction to Statistical Learning

Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor

An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor (2023) is a book on our Risk & quant shelf. The most popular beginner's book on machine learning and statistical modelling: regression, classification, resampling, trees, support vector machines and deep learning, with labs in R or Python. It suits readers interested in risk & quant, and it is legally free from Springer (free author edition at statlearning.com). Licence: Free PDF from the authors (no signup).

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About this book

The most popular beginner's book on machine learning and statistical modelling: regression, classification, resampling, trees, support vector machines and deep learning, with labs in R or Python.

Why it is free

The licence listed for this title is: Free PDF from the authors (no signup). It is published free of charge by Springer (free author edition at statlearning.com), and TopFreeBooks links only to that official source; we do not host the file.

Author
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor
Publisher / source
Springer (free author edition at statlearning.com)
Year
2023
Format
PDF
Licence
Free PDF from the authors (no signup)
Shelf
Risk & quant
Link checked
2026-10-30

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