Posted by **Underaglassmoon** at Oct. 31, 2016

Springer | Statistics Text | November 17, 2016 | ISBN-10: 3319440470 | 347 pages | pdf | 7.9 mb

Authors: Berk, Richard A.

Offers accessible coverage on statistical learning procedures for practitioners

Examines a wide array of real applications

Presents intuitive explanations and visual representation of underlying statistical concepts

Posted by **interes** at Aug. 23, 2014

English | 2008-08-28 | ISBN: 0387781889 | 756 pages | PDF | 10,7 mb

Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has opened up the field of bioinformatics.

Posted by **libr** at July 30, 2013

English | 2008-08-28 | ISBN: 0387781889 | 756 pages | PDF | 10,7 mb

Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has opened up the field of bioinformatics.

Posted by **Specialselection** at March 22, 2012

English | 2008-08-28 | ISBN: 0387781889 | 756 pages | PDF | 10.8 mb

Posted by **tot167** at April 14, 2010

Springer | 2008 | ISBN: 0387781889 | 734 pages | PDF | 14,7 MB

Posted by **tanas.olesya** at July 8, 2016

English | 19 Nov. 1999 | ISBN: 0387987800 | 334 Pages | PDF | 10 MB

The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization.

Posted by **tarantoga** at Feb. 15, 2016

ISBN: 0387848576 | 2009 | EPUB | 745 pages | 13 MB

Posted by **AlenMiler** at Oct. 21, 2015

English | 18 Sept. 2015 | ISBN: 1634620968 | 282 Pages | True AZW3 (Kindle)/(EPUB/PDF conv) | 15.44 MB

A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniques required to excel with statistical learning methods in the areas of data access, data munging, exploratory data analysis, supervised machine learning, unsupervised machine learning and model evaluation.

Posted by **BUGSY** at June 22, 2015

English | Nov 19, 1999 | ISBN: 0387987800 | 334 Pages | PDF | 10 MB

The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data.

Posted by **andr1078** at May 14, 2015

Publisher: Springer | English | 2015 | ISBN:3319170902 | 444 pages | PDF | 15.4 MB

This book constitutes the refereed proceedings of the Third International Symposium on Statistical Learning and Data Sciences, SLDS 2015, held in Egham, Surrey, UK, April 2015.