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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition This book describes the important ideas in a variety of fields Topics included: Overview of Supervised Learning • Linear Methods for Regression • Linear Methods for Classification • Basis Expansions and The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & An Introduction to Statistical Learning (ISL) [2] is aimed at those with a high school level of math. Marchette: Computer Intrusion Detection and Network Monitoring: A Statistical Viewpoint. Автор: JI Marden · 2006 — These notes are based on a course in statistical learning using the text The Elements of. stanford. 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