Trevor Hastie, Robert Tibshirani, & Jerome Friedman (2009)
Springer Series in Statistics.
DOI: https://doi.org/10.1007/978-0-387-84858-7
Abstract. A standard reference on statistical learning theory covering linear methods, kernel smoothing, trees, boosting, random forests, neural networks, SVMs, and unsupervised learning with mathematical rigour.
Tags: textbook statistics machine-learning
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