Learning Base R

Learning Path: R Programming for Data Analysts  eBooks & eLearning

Posted by FenixN at Nov. 16, 2016
Learning Path: R Programming for Data Analysts

Learning Path: R Programming for Data Analysts
HDRips | MP4/AVC, ~1500 kb/s | 960x528 | Duration: 15:12:01 | English: AAC, 128 kb/s (2 ch) | 5,46 GB
Genre: Development / Programming

R Programming Data Analyst Learning Path, is a tour through the most important parts of R, the statistical programming language, from the very basics to complex modeling. It covers reading data, programming basics, visualization, data munging, regression, classification, clustering, modern machine learning, network analysis, web graphics, and techniques for dealing with large data, both in memory and in databases.

Mastering Machine Learning with R (repost)  eBooks & eLearning

Posted by andr1078 at Aug. 11, 2016
Mastering Machine Learning with R (repost)

Cory Lesmeister "Mastering Machine Learning with R"
Publisher: Packt Publishing | English | 2015 | ISBN: 178398452X | 400 pages | PDF | 8.8 MB

If you want to learn how to use R's machine learning capabilities to solve complex business problems, then this book is for you. Some experience with R and a working knowledge of basic statistical or machine learning will prove helpful.

Unsupervised Learning with R [Repost]  eBooks & eLearning

Posted by tanas.olesya at June 19, 2016
Unsupervised Learning with R  [Repost]

Unsupervised Learning with R by Erik Rodriguez Pacheco
English | 3 Dec. 2015 | ISBN: 1785887092 | 265 Pages | PDF | 5 MB

Learning Veeam(r) Backup and Replication for Vmware Vsphere (Repost)  eBooks & eLearning

Posted by enmoys at May 29, 2016
Learning Veeam(r) Backup and Replication for Vmware Vsphere (Repost)

Learning Veeam(r) Backup and Replication for Vmware Vsphere By Christian Mohn
2014 | 110 Pages | ISBN: 1782174176 | PDF | 6 MB

Pluralsight - Understanding Machine Learning with R  

Posted by naag at Feb. 18, 2016
Pluralsight - Understanding Machine Learning with R

Understanding Machine Learning with R
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1h 25m | 205 MB
Genre: eLearning | Language: English

This course walks through the process of creating a machine learning prediction solution. The course introduces and uses R, the primary language for Machine Learning.

Machine Learning with R Programming  eBooks & eLearning

Posted by C2U at Jan. 21, 2016
Machine Learning with R Programming

Machine Learning with R Programming
2 Hours | Video: AVC (.mp4) 1280x720 | Audio: AAC 48KHz 2ch | 572 MB
Genre: eLearning | English

Learn in Detail How to execute Machine Learning Algorithms in R Programming

Unsupervised Learning with R  

Posted by AlenMiler at Dec. 17, 2015
Unsupervised Learning with R

Unsupervised Learning with R by Erik Rodriguez Pacheco
English | 3 Dec. 2015 | ISBN: 1785887092 | 192 Pages | AZW3/EPUB/PDF (conv) | 16.15 MB

Work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data.

Mastering Machine Learning with R  

Posted by AlenMiler at Oct. 30, 2015
Mastering Machine Learning with R

Mastering Machine Learning with R by Cory Lesmeister
English | 28 Oct. 2015 | ISBN: 178398452X | 400 Pages | AZW3 (Kindle)/HTML/EPUB/PDF (conv) | 47 MB

If you want to learn how to use R's machine learning capabilities to solve complex business problems, then this book is for you. Some experience with R and a working knowledge of basic statistical or machine learning will prove helpful.

Machine Learning with R (Repost)  

Posted by bookwarrior at Oct. 20, 2015
Machine Learning with R (Repost)

Machine Learning with R By Brett Lantz
2013 | 396 Pages | ISBN: 1782162143 | EPUB + PDF | 14 MB

Machine Learning with R  

Posted by AlenMiler at Aug. 13, 2015
Machine Learning with R

Machine Learning with R - Second Edition by Brett Lantz
English | 31 July 2015 | ISBN: 1784393908 | 452 Pages | EPUB/MOBI/PDF (True) | 38.67 MB
With: Code Files

Perhaps you already know a bit about machine learning but have never used R, or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly.