Trevor Hastie, Robert Tibshirani, Jerome Friedman
The Elements of Statistical Learning (2nd ed.) by Trevor Hastie, Robert Tibshirani, Jerome Friedman (2009) is a book on our Risk & quant shelf. The advanced companion to An Introduction to Statistical Learning. It suits readers interested in risk & quant, and it is legally free from Springer (free author edition at hastie.su.domains). Licence: Free PDF from the authors (no signup).
Download free from Springer (free author edition at hastie.su.domains)The advanced companion to An Introduction to Statistical Learning. Regression, classification, regularisation, trees, boosting, random forests, support vector machines, neural networks and unsupervised learning, explained by the Stanford statisticians who invented several of these methods.
The licence listed for this title is: Free PDF from the authors (no signup). It is published free of charge by Springer (free author edition at hastie.su.domains), and TopFreeBooks links only to that official source; we do not host the file.
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