Posted by **AlenMiler** at June 8, 2015

English | 5 Jun. 2015 | ASIN: B00Z1DSDUU | 115 Pages | AZW3/EPUB/PDF (conv) | 5.34 MB

As modern data scientists in competitive fields it becomes more and more important to stay current with the most recent techniques in statistical modeling and to learn best practices from the masters in the field.

Posted by **BUGSY** at Jan. 11, 2017

English | July 31, 2008 | ISBN: 0387775005 | 372 Pages | PDF | 3 MB

Statistical Learning from a Regression Perspective considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors…

Posted by **AlenMiler** at Nov. 12, 2016

English | 7 Nov. 2016 | ISBN: 1539849996 | 39 Pages | PDF | 3.55 MB

Solutions designed as lessons to promote better problem solving skills for college STEM majors.

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 **AlenMiler** at Oct. 15, 2016

English | 21 Aug. 2016 | ISBN: 1537195727 | 36 Pages | AZW3/MOBI/EPUB/PDF (conv) | 1.91 MB

Linux is one of the most popular operating systems on the market today. It is a free, open source piece of software that can be run on a desktop computer or on a web server to host and run Internet based applications.

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 **ChrisRedfield** at Nov. 16, 2015

Published: 2011-03-28 | ISBN: 0521141044 | PDF | 222 pages | 3.43 MB

Posted by **bookwyrm** at Oct. 30, 2015

2006 | 864 Pages | ISBN: 0072472367 | PDF | 21 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.