An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

Gareth James Statistical Learning in R Reviews Summary

Ratings Breakdown

Rated 4.7 by 322 people

Pros from Reviews

  • Accessible for beginners
  • Practical examples in R
  • Balanced theory and practice
  • Clear explanations of concepts
  • Covers key statistical concepts
  • Includes practical coding exercises
  • Great for data scientists
  • Useful for machine learning

Cons from Reviews

  • Small print font size

Notable Features

Statistical Applications
R Programming
Second Edition
You might also be interested in: