In case you missed them, here are some articles from October of particular interest to R users.
A recent survey of competitors on the Kaggle platform reveals that Python (76%) and R (59%) are the preferred tools for building predictive models.
Microsoft's “Team Data Science Process” has been updated with new guidelines on use of the IDEAR framework for R and Python.
Microsoft R Open 3.4.2 is now available for Windows, Mac and Linux.
Using the foreach package to estimate bias of rpart trees via bootstrapping.
Replays of webinars on the Azure Data Science VM, and on document collection analysis with Azure ML Workbench, are now available.
An online book on statistical machine learning with the MicrosoftML package.
An updated list of major events in the history of the R project, 1992-2016.
An overview of the R manuals, now also available in Bookdown format.
An R-based analysis comparing the speeds of bikes and taxis for trips across New York City.
Vision-based AI techniques used to estimate the population of endangered snow leopards.
ROpenSci interviews David Smith about working in the R community.
A generational neural network, implemented in R, synthesizes startup names and business plans.
A tutorial on using Azure Data Lake Analytics with R.
The remarkable growth of R, as seen in StackOverflow traffic data.
Version 1.0.0 of the dplyrXdf package, providing dplyr operations for Microsoft R out-of-memory data files, is now available.
The GPU-enabled Deep Learning Virtual Machine on Azure includes R, Spark, Tensorflow and more.
A comparison of assault death rates in the US and other advanced democracies, generated in R by Kieran Healy.
And some general interest stories (not necessarily related to R):
- Analysis of the film Ex Machina, and others
- Time-lapse video of a 30-day voyage on a cargo ship
- Films made with Line Rider
- A website suggests a random cause of death, from CDC data
As always, thanks for the comments and please send any suggestions to me at [email protected]crosoft.com. Don't forget you can follow the blog using an RSS reader, via email using blogtrottr, or by following me on Twitter (I'm @revodavid). You can find roundups of previous months here.