[pdf] Beginning Data Science With R

Beginning Data Science with R eBooks & eLearning

Posted by arundhati at June 8, 2020

Manas A. Pathak, "Beginning Data Science with R"
English | ISBN: 3319120654 | 2014 | 157 pages | PDF | 4 MB

Beginning Data Science with R [Repost] eBooks & eLearning

Posted by hill0 at June 22, 2017

Beginning Data Science with R by Manas A. Pathak
English | 31 Dec. 2014 | ISBN: 3319120654 | 172 Pages | PDF | 3.86 MB

“We live in the age of data. In the last few years, the methodology of extracting insights from data or "data science" has emerged as a discipline in its own right. The R programming language has become one-stop solution for all types of data analysis. The growing popularity of R is due its statistical roots and a vast open source package library.

Details

Mathematical Foundations of Data Science Using R (De Gruyter STEM), 2nd Edition eBooks & eLearning

Posted by yoyoloit at Oct. 14, 2022

Details

Pack Language (Langage) R eBooks & eLearning

Posted by TimMa at June 1, 2019

Pack Language (Langage) R
English/Français | EPUB/MOBI/PDF | 101 books | 1.8 GB

R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Polls, data mining surveys, and studies of scholarly literature databases show substantial increases in popularity in recent years as of May 2019, R ranks 21st in the TIOBE index, a measure of popularity of programming languages. …

Details

Data Science with Julia eBooks & eLearning

Posted by IrGens at Jan. 24, 2019

Details

Data Science for Public Policy eBooks & eLearning

Posted by hill0 at Sept. 1, 2021

Details

Beginning R 4: From Beginner to Pro eBooks & eLearning

Posted by AvaxGenius at Oct. 17, 2020

Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data import settings for text (as well as the statistical methods to model text-based, categorical data).

Details

Software for Data Analysis: Programming with R (Repost) eBooks & eLearning

Posted by AvaxGenius at Dec. 24, 2019

Software for Data Analysis: Programming with R by John Chambers
English | PDF | 2008 | 515 Pages | ISBN : 1441926127 | 9.04 MB

John Chambers has been the principal designer of the S language since its beginning, and in 1999 received the ACM System Software award for S, the only statistical software to receive this award. He is author or coauthor of the landmark books on S.

Details

Bayesian Essentials with R, Second Edition eBooks & eLearning

Posted by AvaxGenius at April 30, 2021

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 called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical and philosophical justifications.

Details

Introduction to Stochastic Processes with R (repost) eBooks & eLearning

Posted by arundhati at April 4, 2019

Details