Posted by **insetes** at Oct. 17, 2017

2014 | 426 Pages | ISBN: 1461471370 | PDF | 11 MB

Posted by **AvaxGenius** at Feb. 22, 2018

English | PDF,EPUB | 2018 | 243 Pages | ISBN : 3319557076 | 10.13 MB

This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of data from different sources, as well as social networks. It covers both methodological aspects as well as applications to a wide range of areas such as economics, marketing, education, social sciences, medicine, environmental sciences and the pharmaceutical industry.

Posted by **arundhati** at Jan. 15, 2018

2004 | ISBN-10: 0821836781 | 307 pages | PDF | 56 MB

Posted by **AvaxGenius** at Dec. 7, 2017

English | PDF | 2008 | 373 Pages | ISBN :0387775005 | 4.46 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, and when it is important to characterize how the predictors are related to the response. As a first approximation, this is can be seen as an extension of nonparametric regression.

Posted by **First1** at Oct. 26, 2017

English | 2016 | ISBN: 3319440470 | 347 Pages | EPUB | 3.51 MB

This textbook considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response.

Posted by **step778** at Oct. 9, 2017

2007 | pages: 119 | ISBN: 0262083604 | PDF | 0,8 mb

Posted by **ChrisRedfield** at Jan. 22, 2017

Published: 2013-08-12 | ISBN: 1461471370 | PDF | 426 pages | 10.71 MB

Posted by **nebulae** at Jan. 10, 2016

English | ISBN: 3319234277 | 2016 | 391 pages | PDF | 5 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 **nebulae** at Dec. 30, 2014

English | ISBN: 0470641835 | 2011 | 234 pages | PDF | 3 MB