Since 2008, Microsoft (formerly Revolution Analytics) staff and guests have written about R every weekday at the Revolutions blog: http://blog.revolutionanalytics.com 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 September: The R-Ladies meetups and the Women in R Taskforce support gender diversity in the R community: http://blog.revolutionanalytics.com/2016/09/all-the-r-ladies.html Highlights from the Microsoft Data Science Summit include recordings of many presentations about R, and the keynote "The Future of Data Analysis" by Edward Tufte: http://blog.revolutionanalytics.com/2016/09/data-science-summit-highlights.html An R-based fraud detection model scores credit card transactions in SQL Server at a rate of 1 million records per second: http://blog.revolutionanalytics.com/2016/09/fraud-detection.html The Financial Times uses R for quantitative journalism (and made some lovely animations comparing European football teams): http://blog.revolutionanalytics.com/2016/09/financial-times-quantitative-journalism.html Part 3 in a series on Deep Learning looks at combining CNNs with RNNs: http://blog.revolutionanalytics.com/2016/09/deep-learning-part-3.html There were many real-world applications of R presented at the EARL London conference http://blog.revolutionanalytics.com/2016/09/reflections-on-earl-london-2016.html, including applications of Microsoft R at Investec, British Car Auctions and Beazley Group http://blog.revolutionanalytics.com/2016/09/microsoft-r-at-the-earl-conference.html. Tips on choosing the right data science tool for a project: http://blog.revolutionanalytics.com/2016/09/choose-the-right-tool.html Tidyverse: a collection of packages for working with data in R: http://blog.revolutionanalytics.com/2016/09/tidyverse.html The Linux Data Science Virtual Machine has been upgraded with new tools including Microsoft R Server: http://blog.revolutionanalytics.com/2016/09/linux-dsvm-upgrade.html The Pirate's Guide to R: a video and 250-page e-book to learn the R language: http://blog.revolutionanalytics.com/2016/09/pirates-guide-to-r.html The 2016 O'Reilly Data Science Salary Survey reveals the most-used tools are SQL (70%), R (57%) and Python (54%): http://blog.revolutionanalytics.com/2016/09/2016-data-science-salary-survey.html A simple explanation of Convolutional Neural Networks: http://blog.revolutionanalytics.com/2016/09/how-the-algorithm-behind-deep-learning-works.html A template for building a predictive maintenance application with SQL Server R Services: http://blog.revolutionanalytics.com/2016/09/r-services-maintenance.html The R Consortium awarded a grant of $10,000 to The R Documentation Task Force to design and build the next generation R documentation system: http://blog.revolutionanalytics.com/2016/09/volunteer-to-help-improve-rs-documentation.html Scaling R-based applications with DeployR grid nodes and slots: http://blog.revolutionanalytics.com/2016/09/the-elements-of-scaling-r-based-applications-with-deployr.html An R packages to extract colour palettes from satellite imagery: http://blog.revolutionanalytics.com/2016/09/the-pallettes-of-earth.html A guide for porting SAS programs for financial data manipulation to R: http://blog.revolutionanalytics.com/2016/09/rewriting-sas-in-r-for-finance.html How to analyze basketball data and create animations of player movements with R: http://blog.revolutionanalytics.com/2016/09/analyzing-nba-basketball-data-with-r.html Create a more perceptive heatmap colour scale with the viridis package: http://blog.revolutionanalytics.com/2016/09/choose-a-good-heatmap-color-scale-with-viridis.html General interest stories (not related to R) in the past month included: how a newspaper was printed in 1973 (http://blog.revolutionanalytics.com/2016/09/because-its-friday-typesetting-in-the-olden-days.html), illusions caused by our poor peripheral vision (http://blog.revolutionanalytics.com/2016/09/peripheral-illusions.html), a chart (to scale!) about climate change (http://blog.revolutionanalytics.com/2016/09/because-its-friday-a-big-chart-about-climate-change.html), a happier version of the X Files Theme (http://blog.revolutionanalytics.com/2016/09/because-its-friday-the-happy-files.html), and a short film on the creation of the universe (http://blog.revolutionanalytics.com/2016/09/because-its-friday-the-creation-of-the-universe-in-paint-and-salt.html). If you're looking for more articles about R, you can find summaries from previous months at http://blog.revolutionanalytics.com/roundups/. You can receive daily blog posts via email using services like blogtrottr.com. As always, thanks for the comments and please keep sending suggestions to me at david...@microsoft.com or via Twitter (I'm @revodavid). Cheers, # David -- David M Smith <david...@microsoft.com> R Community Lead, Microsoft Tel: +1 (312) 9205766 (Chicago IL, USA) Twitter: @revodavid | Blog: http://blog.revolutionanalytics.com ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
