An Introduction to Statistical Learning with Applications in R
Book Details
| Author | Gareth James • Daniela Witten • Trevor Hastie Robert Tibshirani |
|---|---|
| Publisher | Springer |
| Published Year | 1905 |
| Pages | 440 |
| Language | English |
| ISBN-10 | 1071614177 |
| ISBN-13 | 978-1071614174 |
An Introduction to Statistical Learning with Applications in R is a widely acclaimed textbook by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani. It provides a clear and accessible introduction to statistical and machine learning techniques, with a strong focus on practical applications using the R programming language. The book covers key topics such as linear regression, classification, resampling methods, model selection, and more, making it ideal for beginners and practitioners in data science and statistics.
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