Tutorial based on workshop at Rutgers University. NetSciX 2016 School of Code Workshop, Wroclaw, Poland, 64 p. This tutorial covers basics of network analysis and visualization with the R package igraph (maintained by Gabor Csardi and Tamas Nepusz). The igraph library provides versatile options for descriptive network analysis and visualization in R, Python, and C/C++. This workshop will focus on the R implementation.
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O’Reilly Media – 2012, 724 p., 2nd Edition ISBN: 144931208X, 9781449312084 If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open-source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize,...
Machine Learning Mastery, 2016. — 223 p. — ISBN: N\A Do you want to do machine learning using R, but you’re having trouble getting started? In this post you will complete your first machine learning project using R. In this step-by-step tutorial you will: Download and install R and get the most useful package for machine learning in R. Load a dataset and understand it’s...
Second Edition. — Springer, 2008. — (501 + 305) p. — ISBN: 0387759586. The book was developed for a one-semester course usually attended by students in statistics, economics, business, engineering, and quantitative social sciences. Basic applied statistics through multiple linear regression is assumed. Calculus is assumed only to the extent of minimizing sums of squares, but a...
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CreateSpace Independent Publishing Platform, 2015. — 598 p. — ISBN: 151751679X, 9781517516796 This jam-packed book takes you under the hood with step by step instructions using the popular and free R predictive analytics package. It provides numerous examples, illustrations and exclusive use of real data to help you leverage the power of predictive analytics. A book for every...
CreateSpace Independent Publishing Platform, 2016. — 251 p. — ISBN: 1519514212, 9781519514219 Master Deep Learning with this fun, practical, hands on guide. With the explosion of big data deep learning is now on the radar. Large companies such as Google, Microsoft, and Facebook have taken notice, and are actively growing in-house deep learning teams. Other large corporations...