Blog Archives

AI, Machine Learning and Data Science Roundup: January 2019

January 16, 2019
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A monthly roundup of news about Artificial Intelligence, Machine Learning and Data Science. This is an eclectic collection of interesting blog posts, software announcements and data applications from Microsoft and elsewhere that I've noted over the past month or so. Open Source AI, ML & Data Science News Preview of Tensorflow 2.0 (the public preview is expected "early this...

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Use foreach with HPC schedulers thanks to the future package

January 15, 2019
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The future package is a powerful and elegant cross-platform framework for orchestrating asynchronous computations in R. It's ideal for working with computations that take a long time to complete; that would benefit from using distributed, parallel frameworks to make them complete faster; and that you'd rather not have locking up your interactive R session. You can get a good...

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Who is the greatest finisher in soccer?

January 10, 2019
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Who is the greatest finisher in soccer?

It's relatively easy to find the player who has scored the most goals in the last 12 years (hello, Lionel Messi). But which professional football (soccer) player is the best finisher, i.e. which player is most likely to put a shot they take into the goal? You can't simply use the conversion rate (the ratio of shots taken to...

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AzureR packages now on CRAN

January 8, 2019
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The suite of AzureR packages for interfacing with Azure services from R is now available on CRAN. If you missed the earlier announcements, this means you can now use the install.packages function in R to install these packages, rather than having to install from the Github repositories. Updated versions of these packages will also be posted to CRAN, so...

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In case you missed it: December 2018 roundup

January 4, 2019
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In case you missed them, here are some articles from December of particular interest to R users. R 3.5.2 is now available. Roundup of AI, Machine Learning and Data Science news from December 2018. AzureStor, a new R package to interface with Azure Storage. How to use the "plumber" package to create an R service as a container with...

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Notebooks from the Practical AI Workshop

January 3, 2019
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Last month, I delivered the one-day workshop Practical AI for the Working Software Engineer at the Artificial Intelligence Live conference in Orlando. As the title suggests, the workshop was aimed at developers, bu I didn't assume any particular programming language background. In addition to the lecture slides, the workshop was delivered as a series of Jupyter notebooks. I ran...

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R 3.5.2 now available

December 20, 2018
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R 3.5.2, the latest version of the R language for statistical computation and graphics from the R Foundation, was released today. (This release is codenamed "Eggshell Igloo", likely in reference to this or this Peanuts cartoon.) Compared to R 3.5.1, this update includes only bug fixes, so R scripts and packages compatible with R 3.5.0 or R 3.5.1 should...

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In case you missed it: November 2018 roundup

December 14, 2018
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In case you missed them, here are some articles from November of particular interest to R users. David Gerard assesses the plausibility of a key plot point in 'Jurassic Park' with simulations in R. In-database R is available in Azure SQL Database for private preview. Introducing AzureR, a new suite of R packages for managing Azure resources in R....

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Reflections on the 10th anniversary of the Revolutions blog

December 10, 2018
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On December 9 2008, very nearly ten years ago, the first post on Revolutions was published. Way back then, this blog was part of a young startup called Revolution Computing, which later became Revolution Analytics. (That name persists to this day in the URL of this blog.) The idea at that time was to introduce the world to a...

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Gender Diversity in the R and Python Communities

December 5, 2018
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Gender Diversity in the R and Python Communities

Many (if not most) tech communities have far more representation from men than from women (and even fewer from nonbinary folk). This is a shame, because everybody uses software, and these projects would self-evidently benefit from the talent and expertise from across the entire community. Some projects are doing better than others, though, and data scientist Reshama Shaikh recently...

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