Guide to Machine Learning with R from InsideBigData

July 14, 2014

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

InsideBigData has published a new Guide to Machine Learning, in collaboration with Revolution Analytics. As the name suggests, the Guide provides an overview of machine learning techniques, with a focus on implementation with the R language and (for big-data applications) Revolution R Enterprise. You can download the Guide here (email registration required), or for a quick overview of the contents check out the series of posts by Daniel Gutierrez on the topics covered in the Guide:

insideBigData: Guide to Machine Learning

To leave a comment for the author, please follow the link and comment on their blog: Revolutions. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)