Revolutions blog: October 2017 roundup

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Revolutions blog: October 2017 roundup

R help mailing list-2
Since 2008, Microsoft (formerly Revolution Analytics) staff and guests
have written about R every weekday at the Revolutions blog
( and every month I post a summary
of articles from the previous month of particular interest to readers
of r-help.

In case you missed them, here are some articles related to R from the
month of October:

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:

The "officer" package makes it possible to create PowerPoint and Word documents
from R, and even
include editable R charts

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 analysis comparing the speeds of bikes and taxis for trips across New York

Vision-based AI techniques used to estimate the population of snow leopards:

ROpenSci interviews me (David Smith) about working in the R community:

A generational neural network, implemented in R, synthesizes startup names and
business plans:

Two R-themed crosswords: a cryptic one by Barry Rowlingson,
and a standard one from R-Ladies DC

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 keep sending suggestions to
me at [hidden email] or via Twitter (I'm @revodavid).

# David

David M Smith <[hidden email]>
R Community Lead, Microsoft AI & Research 
Tel: +1 (312) 9205766 (Chicago IL, USA)
Twitter: @revodavid | Blog:

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