Библиотека программиста

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文件数目：83个文件
文件大小：993.66 MB
收录时间：2022-12-15
访问次数：5
相关内容：Библиотека программиста

文件meta

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/Издательство Packt/Miller, Forte -- Mastering Predictive Analytics with R, 2nd ed. -- 2017.pdf
32.71 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/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/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/Издательство Packt/Lesmeister -- Mastering Machine Learning with R, 2nd ed. -- 2017.pdf
12.33 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/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/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/Издательство Packt/Dorman -- Learning R for Geospatial Analysis -- 2014.pdf
9.73 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/Издательство Packt/Mishra -- R Data Mining Blueprints -- 2016.pdf
9 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/Издательство Packt/Yu-Wei, Chiu -- Machine Learning With R Cookbook -- 2015.epub
8.11 MB
R/Gupta -- Applied Analytics through Case Studies Using SAS and R -- 2018.pdf
7.97 MB
R/Издательство Packt/Kumar, Paul -- Mastering Text Mining with R -- 2016.pdf
7.63 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/Издательство Packt/Makhabel -- Learning Data Mining with R -- 2015.pdf
6.98 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