Blog Archives

A comparison of deep learning packages for R

February 13, 2017
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Oksana Kutina and Stefan Feuerriegel fom University of Freiburg recently published an in-depth comparison of four R packages for deep learning. The packages reviewed were: MXNet: The R interface to the MXNet deep learning library. (The blog post refers to an older name for the package, MXNetR.) darch: An R package for deep architectures and restricted Boltzmann machines. deepnet:...

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Update on R Consortium Projects

February 10, 2017
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Update on R Consortium Projects

On January 31, the R Consortium presented a webinar with updates on various projects that have been funded (thanks to the R Consortium member dues) and are underway. Each project was presented by the project leader, a member of the R community. You can watch the recording of the webinar here, but here's a brief summary of what was...

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Job trends for R and Python

February 9, 2017
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Job trends for R and Python

When we last looked at job trends from indeed.com, job listings for "R statistics" were on the rise but were still around half the volume of listings for "SAS statistics". Three-and-a-half years later, R has overtaken SAS in job listings for "statistics". I added Python to the search this time; job listings for "Python statistics" have risen at a...

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ModernDive: A free introduction to statistics and data science with R

February 8, 2017
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ModernDive: A free introduction to statistics and data science with R

If you're thinking about teaching a course on statistics and data science using R, Chester Ismay and Albert Kim have created an online, open-source textbook for just that purpose. ModernDive is a textbook for that instructs students how to: use R to explore and visualize data; use randomization and simulation to build inferential ideas; effectively create stories using these...

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Retail customer analytics with SQL Server R Services

February 7, 2017
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Retail customer analytics with SQL Server R Services

In the hyper-competitive retail industry, intelligence about your customers is key. You need to be able to find the right customers, understand what types of customers you have, and know how to keep the best ones. Three solutions based around R and SQL Server R Services will help you do exactly that. To find the right customers, you need...

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In case you missed it: January 2017 roundup

February 6, 2017
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In case you missed them, here are some articles from January of particular interest to R users. The Data Science Virtual Machine on Azure has been updated with the latest Microsoft R Server, and adds RStudio and JuliaPro. A crowdsourced list of local R user groups and community events, maintained by Colin Gillespie. Resources for searching R packages, now...

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Superheat: supercharged heatmaps for R

February 3, 2017
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Superheat: supercharged heatmaps for R

The heatmap is a useful graphical tool in any data scientist's arsenal. It's a useful way of representing data that naturally aligns to numeric data in a 2-dimensional grid, where the value of each cell in the grid is represented by a color. It's a natural fit for data that's in a grid already (say, a correlation matrix). But...

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fst: Fast serialization of R data frames

February 2, 2017
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fst: Fast serialization of R data frames

If you want to get data out of R and into another application or system, simply copying the data as it resides in memory generally isn't an option. Instead you have to serialize the data (into a file, usually), which the other application can then deserialize to recreate the original data. R has several options to serialize data frames:...

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A look back at the year in R and Microsoft

February 1, 2017
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Thomas Dinsmore's ML/DL blog recently concluded a look back on significant advancements in data science, machine learning and deep learning — many of which involved R and/or Microsoft. Here are those highlights (reproduced with permission): The R Project R and Python maintained their leadership as primary tools for open data science. The Python versus R debate continued amid an...

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Data Science Virtual Machine updated, now includes RStudio, JuliaPro

January 31, 2017
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Data Science Virtual Machine updated, now includes RStudio, JuliaPro

The Windows edition of the Data Science Virtual Machine (DSVM) was recently updated on the Azure Marketplace. This update upgrades some existing components and adds some new ones as well. You now have your choice of integrated development environment to use with R. RStudio Desktop is now included in the Data Science Virtual Machine image — no need to...

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