Introduction To Statistical Learning – Springer

The book is divided into two parts – Introduction to Statistical Learning is a comprehensive textbook that provides an accessible overview of statistical and machine learning methods. It covers fundamental topics such as regression, classification, resampling, and tree-based methods, with practical examples using R. Ideal for beginners and professionals in data science and analytics.