By Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani
An creation to Statistical Learning offers an available assessment of the sector of statistical studying, a necessary toolset for making feel of the huge and complicated facts units that experience emerged in fields starting from biology to finance to advertising and marketing to astrophysics some time past two decades. This ebook provides one of the most very important modeling and prediction innovations, besides suitable purposes. subject matters comprise linear regression, category, resampling tools, shrinkage techniques, tree-based tools, help vector machines, clustering, and extra. colour portraits and real-world examples are used to demonstrate the equipment provided. because the aim of this textbook is to facilitate using those statistical studying options by way of practitioners in technology, undefined, and different fields, every one bankruptcy includes a educational on enforcing the analyses and strategies offered in R, a really renowned open resource statistical software program platform.
Two of the authors co-wrote the weather of Statistical studying (Hastie, Tibshirani and Friedman, 2d version 2009), a well-liked reference e-book for data and desktop studying researchers. An advent to Statistical Learning covers some of the related themes, yet at a degree obtainable to a much wider viewers. This ebook is concentrated at statisticians and non-statisticians alike who desire to use state of the art statistical studying innovations to research their information. The textual content assumes just a prior direction in linear regression and no wisdom of matrix algebra.
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Extra resources for An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) by Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani