Posted by **arundhati** at April 26, 2017

2017 | ISBN-10: 3319496360 | 361 pages | PDF | 4 MB

Posted by **AlenMiler** at April 13, 2017

English | 10 Apr. 2017 | ASIN: B06Y6DMXG5 | 512 Pages | AZW3 | 14.32 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 **leonardo78** at April 8, 2017

1975 | ISBN: 0070602204 | 372 pages | DJVU | 4,5 MB

This book gives theory and solved problems for a combined course in probability and mathematical statistics. A calculus background is employed.

Posted by **arundhati** at April 7, 2017

2008 | ISBN-10: 3764387238 | 202 pages | PDF | 1 MB

Posted by **nebulae** at March 31, 2017

English | ISBN: 3319524011 | 2017 | 662 pages | PDF | 9 MB

Posted by **AvaxGenius** at March 30, 2017

English | PDF | 2017 | 664 Pages | ISBN : 3319524003 | 13.13 MB

This updated and revised first-course textbook in applied probability provides a contemporary and lively post-calculus introduction to the subject of probability. The exposition reflects a desirable balance between fundamental theory and many applications involving a broad range of real problem scenarios.

Posted by **nebulae** at March 14, 2017

English | ISBN: 1119243521 | 2017 | 600 pages | PDF | 4 MB

Posted by **interes** at Feb. 22, 2017

English | 2015 | ISBN: 0321852990 | 528 pages | PDF | 7 MB

Posted by **FenixN** at Feb. 7, 2017

HDRips | MP4/AVC, ~720 kb/s | 1280x720 | Duration: 06:46:40 | English: AAC, 128 kb/s (2 ch) | 1.8 GB

A comprehensive guide to working on statistical data with the R language.