Posted by **yoyoloit** at Feb. 7, 2022

by William E Schiesser

English | 2020 | ISBN: 9811222878 | 109 pages | True PDF EPUB | 17.43 MB

Posted by **insetes** at April 28, 2022

2010 | 317 Pages | ISBN: 1420088262 | PDF | 13 MB

Posted by **sammoh** at April 12, 2022

English | ISBN: 9781786466457 | July 29, 2016 | 500 Pages | True ( EPUB , PDF, MOBI ) | 83.38 MB

Big Data analytics is the process of examining large and complex data sets that often exceed the computational capabilities. R is a leading programming language of data science, consisting of powerful functions to tackle all problems related to Big Data processing.

Posted by **lucky_aut** at Feb. 19, 2022

Duration: 5h 2m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.29 GB

Genre: eLearning | Language: English

A thought-provoking and practical course that transforms the way you drive influence with data.

Posted by **AvaxGenius** at April 9, 2022

Englsh | PDF | 2015 | 628 Pages | ISBN : 1617291382 | 19.3 MB

R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on time series analysis, cluster analysis, and classification methodologies, including decision trees, random forests, and support vector machines.

Posted by **AvaxGenius** at April 23, 2022

English | PDF | 2010 | 317 Pages | ISBN : 038740273X | 15.5 MB

The first seven chapters use R for probability simulation and computation, including random number generation, numerical and Monte Carlo integration, and finding limiting distributions of Markov Chains with both discrete and continuous states. Applications include coverage probabilities of binomial confidence intervals, estimation of disease prevalence from screening tests, parallel redundancy for improved reliability of systems, and various kinds of genetic modeling.

Posted by **insetes** at May 2, 2022

2012 | 416 Pages | ISBN: 0470890819 | PDF | 16 MB

Posted by **yoyoloit** at March 22, 2022

by Kwartler, Ted;

English | 2022 | ISBN: 1119598079, 978-1119598077 | 268 pages | True PDF | 5.69 MB

Posted by **readerXXI** at Jan. 23, 2022

English | 2021 | ASIN: B09P7J4TSC | 162 Pages | PDF(conv)/ePUB | 2.3 MB

Posted by **AvaxGenius** at March 24, 2022

Applied Spatial Data Analysis with R, Second Edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data.