Blog Archives

R Packages for Data Access

August 11, 2016
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R Packages for Data Access

by Joseph Rickert Data Science is all about getting access to interesting data, and it is really nice when some kind soul not only points out an interesting data set but also makes it easy for you to access it. Below is a list of 17 R packages that appeared on CRAN between May 1st and August 8th that,...

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Deep Learning Part 1: Comparison of Symbolic Deep Learning Frameworks

August 9, 2016
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by Anusua Trivedi, Microsoft Data Scientist Background and Approach This blog series is based on my upcoming talk on re-usability of Deep Learning Models at the Hadoop+Strata World Conference in Singapore. This blog series will be in several parts – where I describe my experiences and go deep into the reasons behind my choices. Deep learning is an emerging...

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Simulating from the Bivariate Normal Distribution in R

August 4, 2016
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Simulating from the Bivariate Normal Distribution in R

by Joseph Rickert My guess is that a good many statistics students first encounter the bivariate Normal distribution as one or two hastily covered pages in an introductory text book, and then don't think much about it again until someone asks them to generate two random variables with a given correlation structure. Fortunately for R users, a little searching...

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ROC Curves in Two Lines of R Code

August 2, 2016
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ROC Curves in Two Lines of R Code

by Bob Horton, Microsoft Data Scientist ROC curves are commonly used to characterize the sensitivity/specificity tradeoffs for a binary classifier. Most machine learning classifiers produce real-valued scores that correspond with the strength of the prediction that a given case is positive. Turning these real-valued scores into yes or no predictions requires setting a threshold; cases with scores above the...

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An R Users Guide to JSM 2016

July 28, 2016
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by Joseph Rickert My impression is that the JSM has become ever more R friendly over recent years, but with two sessions organized around R tools and several talks featuring R packages, this year may turn out to be the beginning of a new era where conference organizers see value in putting R on the agenda and prospective speakers...

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DeployR Enterprise Security Model

July 26, 2016
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DeployR Enterprise Security Model

by Ramkumar Chandrasekeran, Software Engineer - Microsoft R Tiger Team DeployR Enterprise is designed to deliver analytics solutions at scale to whomever needs it: inside or outside the enterprise. It also guarantees secure delivery of your analytics via DeployR web services. These secure web services integrate seamlessly with existing enterprise security solutions: Single Sign-On, LDAP, Active Directory, PAM, and...

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More data scientists prefer R: survey

July 22, 2016
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More data scientists prefer R: survey

by Joseph Rickert Last week in a webinar, Burtch Works, an Illinois based executive recruiting firm that specializes in finding analytic talent, released the results of their third annual survey of "quantitative business professionals". Other than having attended this webinar, I have no knowledge of Burtch Works, but I am willing to take their survey at face value as...

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Sustainability through Energy Load Shaping for Buildings using R

July 19, 2016
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Sustainability through Energy Load Shaping for Buildings using R

by Mike Wise, Data Scientist / Solution Architect – MCS Incubation Services Background Building energy consumption is a huge component of energy consumption. In the USA for example, around 40 percent of the energy consumed is in buildings, and as the USA consumes something like 25 percent of the worlds energy, it is clear we are talking about a...

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Some New R Packages

July 14, 2016
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Some New R Packages

by Joseph Rickert New R packages keep rolling into CRAN at a prodigious rate: 184 in May, 195 in June and July looks like it will continue the trend. I spent some time sorting through them and have picked out a few that that are interesting from a data science point of view. ANLP provides functions for building text...

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useR! 2016 Tutorials: Part 2

July 7, 2016
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useR! 2016 Tutorials: Part 2

by Joseph Rickert Last week, I mentioned a few of the useR tutorials that I had the opportunity to attend. Here are the links to the slides and code for all but two of the tutorials: Regression Modeling Strategies and the rms Package - Frank Harrell Using Git and GitHub with R, RStudio, and R Markdown - Jennifer Bryan...

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