An Introduction to Statistical Learning

"An Introduction to Statistical Learning" by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani provides an overview of the field of statistical learning.

This book gives an accessible introduction to statistical learning and how to make sense of the complex data sets. The books presents the most vital modeling and prediction techniques as well as relevant applications. Chapters include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Real-world examples and graphics is used widely to illustrate the method.

 

"An Introduction to Statistical Learning" is written by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani.