Posted by **ChrisRedfield** at Nov. 21, 2017

Published: 2013-10-29 | ISBN: 1461486866, 1493950495 | PDF | 296 pages | 7.42 MB

Posted by **insetes** at Oct. 13, 2017

2015 | 168 Pages | ISBN: 178398760X | EPUB | 3 MB

Posted by **readerXXI** at Oct. 6, 2017

English | 2015 | ISBN: 178398760X | 168 Pages | Mobi+Code Files | 6.5 MB

Posted by **hill0** at Jan. 19, 2018

English | 29 Oct. 2013 | ISBN: 1461486866 | 312 Pages | EPUB | 5.34 MB

This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package

Posted by **enmoys** at May 26, 2016

2015 | 168 Pages | ISBN: 178398760X | EPUB | 3 MB

Posted by **arundhati** at May 19, 2016

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

English | 28 Oct. 2015 | ISBN: 178398760X | 168 Pages | AZW3 (Kindle)/HTML/EPUB/PDF (conv) | 19 MB

This book is for statisticians, analysts, and data scientists who want to build a Bayes-based system with R and implement it in their day-to-day models and projects. It is mainly intended for Data Scientists and Software Engineers who are involved in the development of Advanced Analytics applications.

Posted by **tot167** at April 23, 2009

CRC | 2009 | ISBN: 0387922970 | 308 pages | PDF | 2,75 MB

Posted by **readerXXI** at April 10, 2017

English | 2015 | ISBN: 178398760X | 165 Pages | True PDF | 1.48 MB

Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems.

Posted by **ChrisRedfield** at Feb. 13, 2017

Published: 2013-01-03 | ISBN: 1461456959, 1489997040 | PDF | 232 pages | 2.9 MB