Book of R
The Book of R: A First Course in Programming and Statistics eBooks & eLearning
Posted by libr at March 22, 2017
The Book of R: A First Course in Programming and Statistics by Tilman M. Davies
English | 2016 | ISBN: 1593276516 | 832 pages | PDF + EPUB | 33 + 11 MB
English | 2016 | ISBN: 1593276516 | 832 pages | PDF + EPUB | 33 + 11 MB
The Subversion of the Apocalypses in the Book of Jubilees eBooks & eLearning
Posted by readerXXI at Sept. 27, 2022
The Subversion of the Apocalypses in the Book of Jubilees
by Todd R. Hanneken
English | 2013 | ISBN: 1589836421 | 346 Pages | True PDF | 2.1 MB
by Todd R. Hanneken
English | 2013 | ISBN: 1589836421 | 346 Pages | True PDF | 2.1 MB
R Programming eBooks & eLearning
Posted by eBookRat at Dec. 12, 2024
R Programming: Comprehensive Language for Statistical Computing and Data Analysis with Extensive Libraries for Visualization and Modelling (Mastering Programming Languages Series)
by Theophilus Edet
English | November 10, 2024 | ASIN: B0DKG6P67D | 670 pages | PDF | 255 Mb
by Theophilus Edet
English | November 10, 2024 | ASIN: B0DKG6P67D | 670 pages | PDF | 255 Mb
R Advanced: Advanced Techniques for Finance Pro's: The comprehensive guide to R progarmming in Finance eBooks & eLearning
Posted by TiranaDok at Jan. 13, 2024
R Advanced: Advanced Techniques for Finance Pro's: The comprehensive guide to R progarmming in Finance (The Finance Pro Programming Trifecta Book 1) by Hayden Van Der Post
English | October 19, 2023 | ISBN: N/A | ASIN: B0CLH1P3ZZ | 297 pages | EPUB | 2.05 Mb
English | October 19, 2023 | ISBN: N/A | ASIN: B0CLH1P3ZZ | 297 pages | EPUB | 2.05 Mb
Deep Learning with R Cookbook: Over 45 unique recipes to delve into neural network techniques using R 3.5.x (Repost) eBooks & eLearning
Posted by step778 at Sept. 20, 2022
Swarna Gupta, Rehan Ali Ansari, Dipayan Sarkar, "Deep Learning with R Cookbook: Over 45 unique recipes to delve into neural network techniques using R 3.5.x"
English | 2020 | pages: 328 | ISBN: 1789805678 | EPUB | 15,2 mb
English | 2020 | pages: 328 | ISBN: 1789805678 | EPUB | 15,2 mb
Extending Excel with Python and R: Unlock the potential of analytics languages for advanced data manipulation eBooks & eLearning
Posted by Free butterfly at Aug. 24, 2024
Extending Excel with Python and R: Unlock the potential of analytics languages for advanced data manipulation and visualization by Steven Sanderson, David Kun
English | April 30, 2024 | ISBN: 1804610690 | 344 pages | PDF | 11 Mb
English | April 30, 2024 | ISBN: 1804610690 | 344 pages | PDF | 11 Mb
Mastering Machine Learning with R eBooks & eLearning
Posted by Free butterfly at Sept. 26, 2023
Mastering Machine Learning with R: Advanced machine learning techniques for building smart applications with R 3.5, 3rd Edition by Cory Lesmeister
English | January 31, 2019 | ISBN: 1789618002 | 354 pages | MOBI | 8.55 Mb
English | January 31, 2019 | ISBN: 1789618002 | 354 pages | MOBI | 8.55 Mb
R for PowerBI: Master Advanced Data Analytics and Custom Visualizations in Power BI with R eBooks & eLearning
Posted by Free butterfly at June 4, 2024
R for PowerBI: Master Advanced Data Analytics and Custom Visualizations in Power BI with R: A Comprehensive Guide to Data Visualization by Hayden Van Der Post, Vincent Bisette, Alice Schwartz
English | May 24, 2024 | ISBN: N/A | ASIN: B0D57J7T8L | 478 pages | EPUB | 1.30 Mb
English | May 24, 2024 | ISBN: N/A | ASIN: B0D57J7T8L | 478 pages | EPUB | 1.30 Mb
R Data Analysis without Programming eBooks & eLearning
Posted by Free butterfly at March 15, 2024
R Data Analysis without Programming by David W. Gerbing
English | January 30, 2023 | ISBN: 1032244038 | 378 pages | MOBI | 23 Mb
English | January 30, 2023 | ISBN: 1032244038 | 378 pages | MOBI | 23 Mb
Primer to Analysis of Genomic Data Using R eBooks & eLearning
Posted by AvaxGenius at Aug. 27, 2021
Primer to Analysis of Genomic Data Using R by Cedric Gondro
English | PDF | 2015 | 283 Pages | ISBN : 331914474X | 7.6 MB
Through this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to automate analytical steps. The philosophy behind the book is to start with real world raw datasets and perform all the analytical steps needed to reach final results. Though theory plays an important role, this is a practical book for advanced undergraduate and graduate classes in bioinformatics, genomics and statistical genetics or for use in lab sessions.