By Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani
An creation to Statistical Learning offers an obtainable assessment of the sphere of statistical studying, a necessary toolset for making experience of the titanic and intricate info units that experience emerged in fields starting from biology to finance to advertising to astrophysics long ago two decades. This publication offers probably the most vital modeling and prediction innovations, besides appropriate purposes. subject matters comprise linear regression, class, resampling equipment, shrinkage techniques, tree-based tools, aid vector machines, clustering, and extra. colour snap shots and real-world examples are used to demonstrate the equipment offered. because the objective of this textbook is to facilitate using those statistical studying innovations by way of practitioners in technological know-how, undefined, and different fields, each one bankruptcy includes a instructional on enforcing the analyses and techniques offered in R, a really well known open resource statistical software program platform.
Two of the authors co-wrote the weather of Statistical studying (Hastie, Tibshirani and Friedman, second version 2009), a well-liked reference ebook for facts and laptop studying researchers. An creation to Statistical Learning covers some of the related subject matters, yet at a degree obtainable to a much wider viewers. This booklet is focused at statisticians and non-statisticians alike who desire to use state of the art statistical studying innovations to investigate their info. The textual content assumes just a earlier path in linear regression and no wisdom of matrix algebra.
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Additional 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