Resource Detail

Go Back Return to Home
Библиотека программиста
Size 993.66 MB
Files 83
Info Hash: 5BB3FC69C624DEF8E90F6648ED13FEBA18B9EB01
Indexed 2025-12-14 07:20:30
Updated 2026-06-09 17:05:18
📂 File List (83)
📄
R/Издательство Packt/Miller, Forte -- Mastering Predictive Analytics with R, 2nd ed. -- 2017.pdf
32.71 MB
📄
R/Издательство Packt/Sinha -- Bioinformatics with R Cookbook -- 2014.pdf
28.7 MB
📄
R/Издательство Packt/Bali, Sarkar, Lantz -- R. Unleash Machine Learning Techniques -- 2016.pdf
26.29 MB
📄
R/Издательство Packt/Lesmeister -- Mastering Machine Learning with R, 2nd ed. -- 2017.pdf
12.33 MB
📄
R/Издательство Packt/Tattar -- R. Statistical Application Development by Example -- 2013.pdf
10.59 MB
📄
R/Издательство Packt/Quick -- Statistical Analysis with R -- 2010.pdf
10.3 MB
📄
R/Издательство Packt/Dorman -- Learning R for Geospatial Analysis -- 2014.pdf
9.73 MB
📄
R/Издательство Packt/Mishra -- R Data Mining Blueprints -- 2016.pdf
9 MB
📄
R/Издательство Packt/Yu-Wei, Chiu -- Machine Learning With R Cookbook -- 2015.epub
8.11 MB
📄
R/Издательство Packt/Kumar, Paul -- Mastering Text Mining with R -- 2016.pdf
7.63 MB
📄
R/Издательство Packt/Makhabel -- Learning Data Mining with R -- 2015.pdf
6.98 MB
📄
R/Издательство Packt/Lantz -- Machine Learning with R -- 2013.pdf
5.39 MB
📄
R/Издательство Packt/Forte -- Mastering Predictive Analytics with R -- 2015.epub
5.04 MB
📄
R/Издательство Packt/Fischetti -- Data Analysis with R -- 2015.pdf
4.9 MB
📄
R/Издательство Packt/Chapple, Troup, Forster -- Mastering Parallel Programming with R -- 2016.pdf
4.24 MB
📄
R/Издательство Packt/Daroczi, Puhle, Berlinger -- Introduction to R for Quantitative Finance -- 2013.pdf
4.09 MB
📄
R/Издательство Packt/Gerrard, Johnson -- Mastering Scientific Computing with R -- 2015.pdf
3.97 MB
📄
R/Издательство Packt/Mayor -- Learning Predictive Analytics with R -- 2015.pdf
3.61 MB
📄
R/Издательство Packt/Toomey -- R for Data Science -- 2014.pdf
3.15 MB
📄
R/Издательство Packt/Prajapati -- Big Data Analytics with R and Hadoop -- 2013.pdf
3.05 MB
📄
R/Издательство Packt/Lim, Tjhi -- R High Performance Programming -- 2015.epub
2.32 MB
📄
R/Издательство Packt/Abedin, Das -- Data Manipulation with R, 2nd ed. -- 2015.pdf
1.22 MB
📦
R/Издательство Packt/Lesmeister -- Mastering Machine Learning with R, 2nd ed. -- 2017 -- code.7z
370.17 KB
📦
R/Издательство Packt/Makhabel -- Learning Data Mining with R -- 2015 -- code.7z
311.04 KB
📄
R/Rahlf -- Data Visualisation with R -- 2017.pdf
99.38 MB
📄
R/Wiley -- Advanced R Statistical Programming and Data Models -- 2019.pdf
69.35 MB
📄
R/Chang -- R Graphics Cookbook -- 2012.pdf
62.85 MB
📄
R/Мастицкий -- Визуализация данных с помощью ggplot2 -- 2017.pdf
41.49 MB
📄
R/Wickham, Grolemund -- R for Data Science -- 2017.pdf
32.31 MB
📄
R/Мастицкий, Шитиков -- Статистический анализ и визуализация данных с помощью R -- 2015.pdf
29.79 MB
📄
R/Crawley -- The R Book -- 2007.pdf
26.17 MB
📄
R/Kruschke -- Doing Bayesian Data Analysis -- 2014.pdf
24.88 MB
📄
R/Conway, White -- Machine Learning for Hackers -- 2012.pdf
23.08 MB
📄
R/Kabacoff -- R in Action, 2nd ed. -- 2015.pdf
19.35 MB
📄
R/Brunsdon, Comber -- An Introduction to R for Spatial Analysis & Mapping, 2nd ed. -- 2019.pdf
18.64 MB
📄
R/Gardener -- Beginning R. The Statistical Programming Language -- 2012.pdf
17.61 MB
📄
R/Лонг, Титор -- R. Книга рецептов -- 2020.pdf
17.44 MB
📄
R/Hilfiger -- Graphing Data with R An Introduction -- 2015.pdf
17.05 MB
📄
R/Muenchen, Hilbe -- R for Stata Users -- 2010.pdf
14.78 MB
📄
R/Уикем -- Изучаем Shiny -- 2022.pdf
12.75 MB
📄
R/Ramasubramanian, Singh -- Machine Learning Using R -- 2017.pdf
11.47 MB
📄
R/Wiley, Pace -- Beginning R, 2nd ed. -- 2015.pdf
11.15 MB
📄
R/Lantz -- Machine Learning with R, 2nd Ed -- 2015.pdf
10.88 MB
📄
R/James, Witten, Hastie -- An Introduction to Statistical Learning with Applications in R -- 2015.pdf
10.04 MB
📄
R/Silge, Robinson -- Text Mining with R -- 2017.pdf
9.74 MB
📄
R/Adler -- R in a Nutshell, 2nd ed. -- 2012.pdf
9.22 MB
📄
R/Wickham -- ggplot2. Elegant Graphics for Data Analysis, 2nd ed. -- 2016.pdf
9.05 MB
📄
R/Шолле -- Глубокое обучение на R -- 2018.pdf
8.88 MB
📄
R/Torgo -- Data Mining with R -- 2017.pdf
8.4 MB
📄
R/Teetor -- R Cookbook -- 2011.pdf
8.37 MB
📄
R/Gupta -- Applied Analytics through Case Studies Using SAS and R -- 2018.pdf
7.97 MB
📄
R/Chambers -- Software for Data Analysis. Programming with R -- 2008.pdf
7.4 MB
📄
R/Wiley -- Advanced R 4 Data Programming and the Cloud -- 2020.pdf
7.26 MB
📄
R/Beysolow -- Introduction to Deep Learning Using R -- 2017.pdf
7.08 MB
📄
R/Brown -- Business Case Analysis with R -- 2018.pdf
7.06 MB
📄
R/Boehmke -- Data Wrangling with R -- 2016.pdf
7.04 MB
📄
R/Derryberry -- Basic Data Analysis for Time Series with R -- 2014.pdf
6.85 MB
📄
R/Hui -- Learn R for Applied Statistics -- 2019.pdf
6.79 MB
📄
R/Conlan -- Automated Trading with R -- 2016.pdf
6.7 MB
📄
R/Sheather -- A Modern Approach To Regression With R -- 2009.pdf
6.54 MB
📄
R/Mailund -- Beginning Data Science in R -- 2017.pdf
6.46 MB
📄
R/Cichosz -- Data Mining Algorithms explained Using R -- 2015.pdf
6.37 MB
📄
R/Pfaff -- Financial Risk Modelling and Portfolio Optimization with R, 2nd ed. -- 2016.pdf
6.28 MB
📄
R/Maindonald, Braun -- Data Analysis and Graphics Using R, 3rd ed. -- 2010.pdf
5.98 MB
📄
R/Pace -- R Recipes -- 2014.pdf
5.9 MB
📄
R/Horton, Kleinman -- Using R for Data Management, Statistical Analysis, and Graphics -- 2010.pdf
5.75 MB
📄
R/Cowpertwait, Metcalfe -- Introductory Time Series with R -- 2009.pdf
5.74 MB
📄
R/Cryer, Chan -- Time Series Analysis With Applications in R -- 2008.pdf
5.44 MB
📄
R/Gillespie, Lovelace -- Efficient R Programming -- 2016.pdf
5.3 MB
📄
R/Dalgaard -- Introductory Statistics with R, 2nd ed. -- 2008.pdf
4.33 MB
📄
R/Everitt -- A Handbook of Statistical Analyses Using R, 2nd ed. -- 2009.pdf
4.29 MB
📄
R/Mailund -- Functional Data Structures in R -- 2017.pdf
4 MB
📄
R/Logan -- Biostatistical Design and Analysis Using R -- 2010.pdf
3.58 MB
📄
R/Chambers -- Extending R -- 2016.pdf
3.54 MB
📄
R/Crawley -- Statistics. An Introduction Using R -- 2005.djvu
3.47 MB
📄
R/Croissant, Millo -- Panel Data Econometrics with R -- 2019.pdf
3.43 MB
📄
R/Ghatak -- Machine Learning with R -- 2017.pdf
3.27 MB
📄
R/Wickham -- Advanced R -- 2014.pdf
2.7 MB
📄
R/Nason -- Wavelet Methods in Statistics with R -- 2008.djvu
2.6 MB
📄
R/Mailund -- Domain-Specific Languages in R -- 2018.pdf
2.43 MB
📄
R/Matloff -- Parallel Computing for Data Science With Examples in R -- 2015.pdf
1.94 MB
📄
R/Mailund -- Advanced Object-Oriented Programming in R -- 2017.pdf
1.06 MB
📄
R/Mailund -- Functional Programming in R -- 2017.pdf
968.5 KB
⬇️ Offline Download

Disclaimer

This website only provides DHT network resource indexing services and does not store any resource files. All resources come from the DHT network, and this site cannot control their content. Please comply with local laws and regulations and use network resources rationally. If there are copyright issues, please contact [email protected].