An Introduction to Statistical Learning with Applications in R by Gareth James,
A comprehensive guide to statistical learning with applications in R and Python.
Tarification: freemium — First edition free; subsequent editions paid. · Visiter le site
An Introduction to Statistical Learning is a widely used textbook that provides an accessible overview of key concepts in statistical learning. It covers essential topics such as regression, classification, model selection, and unsupervised learning. The book includes practical labs for hands-on experience using R or Python.
Avantages
- Comprehensive coverage of statistical learning techniques
- Includes practical labs with code examples
- Translated into multiple languages
Inconvénients
- Less technical compared to other advanced texts
- Primarily focuses on R and Python applications
FAQ
Is the book free or paid?
The first edition is available for free, but subsequent editions are paid.
What programming languages does it support?
R and Python.
Who is the target audience?
Anyone interested in data analysis and statistical learning.
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Mis à jour le : 2026-09-15