The official website also hosts datasets, R packages, and lecture slides. Why Read ESL?
Advanced treatments of model assessment, cross-validation, and the bootstrap. the elements of statistical learning pdf free download
Deep dives into linear methods for regression and classification, basis expansions, and regularization (including the Lasso , which author Robert Tibshirani proposed). The official website also hosts datasets, R packages,
Mathematical foundations of Support Vector Machines and early neural network architectures. The official website also hosts datasets
ESL is known for its rigor. To fully grasp the material, you generally need a solid background in: The Elements of Statistical Learning
Explorations of clustering, principal components, and non-negative matrix factorization. Prerequisites and Difficulty