Database Programming Using r

Using R for Digital Soil Mapping  eBooks & eLearning

Posted by roxul at Nov. 29, 2016
Using R for Digital Soil Mapping

Brendan P. Malone and Budiman Minasny, "Using R for Digital Soil Mapping"
English | ISBN: 3319443259 | 2016 | 262 pages | PDF | 5 MB
Statistics and Data Analysis for Microarrays Using R and Bioconductor (2nd Edition) (Repost)

Statistics and Data Analysis for Microarrays Using R and Bioconductor (2nd Edition) By Sorin Draghici
2012 | 1036 Pages | ISBN: 1439809755 | PDF | 131 MB

John Verzani - Using R for Introductory Statistics [Repost]  eBooks & eLearning

Posted by rotten comics at Nov. 25, 2016
John Verzani - Using R for Introductory Statistics [Repost]

John Verzani - Using R for Introductory Statistics
2004 | ISBN: 1584884509 | English | 432 pages | PDF | 3 MB

Understanding Control Flow: Concurrent Programming Using μC++  eBooks & eLearning

Posted by interes at Nov. 20, 2016
Understanding Control Flow: Concurrent Programming Using μC++

Understanding Control Flow: Concurrent Programming Using μC++ by Peter A. Buhr
English | 2016 | ISBN: 3319257013 | 741 pages | PDF | 6,6 MB

Getting Started with Reactive Programming Using RxJS (2016)  eBooks & eLearning

Posted by naag at Nov. 16, 2016
Getting Started with Reactive Programming Using RxJS (2016)

Getting Started with Reactive Programming Using RxJS
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 374 MB
Genre: eLearning | Language: English

This course is designed to get you started using the reactive programming library for JavaScript, RxJS. You'll see the powerful, flexible approach RxJS provides for asynchronous programming by using RxJS to manage events, HTTP calls, and more.

Relational Database Programming: A Set-Oriented Approach (Repost)  eBooks & eLearning

Posted by roxul at Nov. 15, 2016
Relational Database Programming: A Set-Oriented Approach (Repost)

Ardeleanu, Stefan, "Relational Database Programming: A Set-Oriented Approach"
English | 2016 | ISBN-10: 148422079X | 170 pages | EPUB | 1 MB

Nonparametric Statistical Methods Using R (Repost)  eBooks & eLearning

Posted by DZ123 at Nov. 13, 2016
Nonparametric Statistical Methods Using R (Repost)

John Kloke, Joseph W. McKean, "Nonparametric Statistical Methods Using R"
English | 2014 | ISBN: 1439873437 | PDF | pages: 283 | 2.0 mb

The Comprehensive Programming in R Course [repost]  eBooks & eLearning

Posted by ParRus at Nov. 10, 2016
The Comprehensive Programming in R Course [repost]

The Comprehensive Programming in R Course
WEBRip | English | MP4 | 1280 x 720 | AVC ~799 kbps | 30 fps
AAC | 64 Kbps | 44.1 KHz | 2 channels | 22:56:53 | 8.1 GB
Genre: eLearning Video / Business, Data Analysis

The Comprehensive Programming in R Course is actually a combination of two R programming courses that together comprise a gentle, yet thorough introduction to the practice of general-purpose application development in the R environment. The original first course (Sections 1-8) consists of approximately 12 hours of video content and provides extensive example-based instruction on details for programming R data structures.

Nonparametric Statistical Methods Using R (Repost)  eBooks & eLearning

Posted by insetes at Nov. 6, 2016
Nonparametric Statistical Methods Using R (Repost)

Nonparametric Statistical Methods Using R By John Kloke, Joseph W. McKean
2014 | 287 Pages | ISBN: 1439873437 | PDF | 2 MB

Udemy - R - Business Analytics Using R Programming [repost]  eBooks & eLearning

Posted by house23 at Nov. 5, 2016
Udemy - R - Business Analytics Using R Programming [repost]

Udemy - R - Business Analytics Using R Programming
MP4 | AVC 470kbps | English | 1280x720 | 30fps | 17 hours | AAC stereo 59kbps | 2.68 GB
Genre: Video Training

This course ensure quick learning in a simplified way. It explains the most important aspects of working on data and conduct analysis through example. You will start by learning how to install and navigate R studio. Learn Data/Object Types and Operations, Importing into R, and Loops and Conditions. you will be introduced to the use of R in Analytics, where you will learn a little about each object type in R and use that in Data Mining/Analytical Operations. learn the use of R in Statistics, using R to evaluate Descriptive Statistics, Probability Distributions, Hypothesis Testing, Linear Modeling, Generalized Linear Models, Non-Linear Regression, and Trees. Learn to create 2-dimensional Univariate and Multi-variate plots.