The Elements Of Statistical Learning 💯

: Co-inventor of CART (Classification and Regression Trees) , MARS, and Gradient Boosting . Purchase Options

: It is considered an advanced PhD-level text designed for statisticians, researchers, and anyone interested in the mathematical foundations of data mining and machine learning. The Elements of Statistical Learning

: Modern topics like the Lasso , Random Forests, and methods for "wide data" where the number of predictors exceeds the number of observations. Authors' Significance : Co-inventor of CART (Classification and Regression Trees)

The authors are pioneers in the field who developed many of the tools described in the book: and managing the bias-variance tradeoff.

: Vital chapters on cross-validation, model selection, and managing the bias-variance tradeoff.