The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

Robert Tibshirani


During the previous decade there was an explosion in computation and knowledge know-how. With it have come tremendous quantities of knowledge in quite a few fields similar to drugs, biology, finance, and advertising and marketing. The problem of knowing those info has ended in the improvement of recent instruments within the box of records, and spawned new parts reminiscent of information mining, laptop studying, and bioinformatics. lots of those instruments have universal underpinnings yet are frequently expressed with various terminology. This e-book describes the real principles in those components in a standard conceptual framework. whereas the strategy is statistical, the emphasis is on strategies instead of arithmetic. Many examples are given, with a liberal use of colour pics. It is a useful source for statisticians and someone attracted to information mining in technology or undefined. The book's insurance is large, from supervised studying (prediction) to unsupervised studying. the various subject matters comprise neural networks, aid vector machines, category timber and boosting---the first finished remedy of this subject in any book.

This significant new version gains many themes now not coated within the unique, together with graphical versions, random forests, ensemble equipment, least attitude regression & course algorithms for the lasso, non-negative matrix factorization, and spectral clustering. there's additionally a bankruptcy on equipment for ``wide'' facts (p greater than n), together with a number of trying out and fake discovery rates.

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