Bayesian Computational Analyses With r

Bayesian Computational Analyses with R  

Posted by Rare-1 at Nov. 19, 2015
Bayesian Computational Analyses with R

Bayesian Computational Analyses with R
WEBRip | MP4/AVC, ~752 kb/s | 1280 x 720 | English: AAC, 61.8 kb/s (2 ch), 44.1 KHz | 3.41 GB
Genre: Business / Data & Analytics | Language: English | +Project Files

Learn the concepts and practical side of using the Bayesian approach to estimate likely event outcomes.

Udemy - Bayesian Computational Analyses with R  

Posted by U.N.Owen at Nov. 19, 2015
Udemy - Bayesian Computational Analyses with R

Udemy - Bayesian Computational Analyses with R
Size: 2.49GB | Duration: 11h 20m | Video: AVC (.mp4) 1280x720 30fps | Audio: AAC 44.1KHz 2ch
Genre: eLearning | Level: Appropriate for all | Language: English

Learn the concepts and practical side of using the Bayesian approach to estimate likely event outcomes.

Handbook of Fitting Statistical Distributions with R (repost)  eBooks & eLearning

Posted by fdts at Dec. 6, 2016
Handbook of Fitting Statistical Distributions with R (repost)

Handbook of Fitting Statistical Distributions with R
by Zaven A. Karian, Edward J. Dudewicz
English | 2010 | ISBN: 1584887117 | 1687 pages | PDF | 36.24 MB

Learning Path: Intermediate Data Science with R  eBooks & eLearning

Posted by FenixN at Dec. 5, 2016
Learning Path: Intermediate Data Science with R

Learning Path: Intermediate Data Science with R
HDRips | MP4/AVC, ~757 kb/s | 1920х1080 / 1280x720 | Duration: 13:00:13 | English: AAC, 128 kb/s (2 ch)
Size: 4,78 GB | Genre: Development / Programming

The R programming language has arguably become the single most important tool for computational statistics, visualization, and data science. With this Learning Path, master all the features you'll need as a data scientist, from the basics to more advanced techniques including R Graph and machine learning. You'll work your data like never before.

Learning Path: Introduction to Data Science with R  eBooks & eLearning

Posted by FenixN at Dec. 4, 2016
Learning Path: Introduction to Data Science with R

Learning Path: Introduction to Data Science with R
HDRips | MP4/AVC, ~372 kb/s | 1920х1080 / 1280x720 | Duration: 20:19:39 | English: AAC, 128 kb/s (2 ch) | 9.84 GB
Genre: Development / Programming

The R programming language has arguably become the single most important tool for computational statistics, visualization, and data science. With this Learning Path, master the basics that you'll need as a data scientist. You'll work your data like never before.

A Handbook of Statistical Analyses Using R (Repost)  eBooks & eLearning

Posted by leonardo78 at Oct. 30, 2016
A Handbook of Statistical Analyses Using R (Repost)

Brian S. Everitt, Torsten Hothorn, "A Handbook of Statistical Analyses Using R"
English | 2006-02-17 | ISBN: 1584885394 | 269 pages | PDF | 1,4 mb

R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly. And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields.

Computational Network Analysis With R: Applications in Biology, Medicine and Chemistry  eBooks & eLearning

Posted by Underaglassmoon at Sept. 24, 2016
Computational Network Analysis With R: Applications in Biology, Medicine and Chemistry

Computational Network Analysis With R: Applications in Biology, Medicine and Chemistry
Wiley VCH | Biology | Oct 3 2016 | ISBN-10: 3527339582 | 368 pages | pdf | 19.92 mb

by Matthias Dehmer (Author), Yongtang Shi (Editor), Frank Emmert-streib (Editor)

Learning Bayesian Models with R (Repost)  eBooks & eLearning

Posted by enmoys at May 26, 2016
Learning Bayesian Models with R (Repost)

Learning Bayesian Models with R By Dr. Hari M. Koduvely
2015 | 168 Pages | ISBN: 178398760X | EPUB | 3 MB

Bayesian Computation With R (repost)  eBooks & eLearning

Posted by arundhati at May 19, 2016
Bayesian Computation With R (repost)

Jim Albert, "Bayesian Computation With R"
2009 | ISBN: 0387922970 | 308 pages | PDF | 3 MB

Learning Bayesian Models with R [Repost]  eBooks & eLearning

Posted by tanas.olesya at April 5, 2016
Learning Bayesian Models with R [Repost]

Learning Bayesian Models with R by Dr. Hari M. Koduvely
English | 28 Oct. 2015 | ISBN: 178398760X | 191 Pages | EPUB | 3 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.