The Elements Of Statistical Learning (2024)

: Techniques for finding structure in unlabeled data, such as Clustering , Principal Component Analysis (PCA) , and Non-negative Matrix Factorization.

: While the book is mathematically rigorous, it emphasizes concepts and intuition over pure mathematical proofs, using liberal color graphics and real-world examples from finance, biology, and medicine. The Elements of Statistical Learning

: Methods for prediction, including linear regression, classification trees, Neural Networks , Support Vector Machines (SVM) , and Boosting . : Techniques for finding structure in unlabeled data,