Running R in the Azure ML cloud

November 3, 2014

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

The key to making data science successful is making sure you can deploy the machine learning code that data scientists create into applications that rely on the results of the analysis. Microsoft has tackled this problem with Azure ML: machine learning in the cloud. This short video neatly summarizes the process of deploying R code to the cloud in the system:


The MSDN blog also has some technical articles about running R in Azure, including how to upload an R package to Azure ML and how to capture graphical output from R scripts. You can explore Azure ML further at the link below.

Microsoft Azure: 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.

Search R-bloggers


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)