Monthly Archives: June 2015

Rperform: Obtaining quantitative metrics across R package versions

June 26, 2015
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Rperform: Obtaining quantitative metrics across R package versions

After almost a month since the start of the official coding period, the package Rperform is now ready with its initial suite of functions. Building on the proof-of-concept code provide by Toby Dylan Hocking, my mentor, I have written a set of…

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A bit about Win-Vector LLC

June 26, 2015
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Win-Vector LLC is a consultancy founded in 2007 that specializes in research, algorithms, data-science, and training. (The name is an attempt at a mathematical pun.) Win-Vector LLC can complete your high value project quickly (some examples), and train your data science team to work much more effectively. Our consultants include the authors of Practical Data … Continue reading A...

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R at Microsoft

June 26, 2015
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I was honoured to be the presenter at (http://www.meetup.com/R-Users-Sydney/events/223092608/), the (http://blog.revolutionanalytics.com/2015/04/r-user-group-meetings-this-week-in-the-bay-area-and-around-the-world.html) worldwide. The topic of my presentation was "R at Microsoft", where I described how Microsoft has enthusiastically embraced R for internal use (such as for Azure capacity planning, and Xbox gaming improvements), and as a feature of its data platforms...

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Introduction to Monte Carlo methods with R and Bayesian Essentials with R

June 26, 2015
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Introduction to Monte Carlo methods with R and Bayesian Essentials with R

Here are the  download figures for my e-book with George as sent to me last week by my publisher Springer-Verlag.  With an interesting surge in the past year. Maybe simply due to new selling strategies of the published rather to a wider interest in the book. (My royalties have certainly not increased!) Anyway thanks to

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An Attempt to Understand Boosting Algorithm(s)

June 26, 2015
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An Attempt to Understand Boosting Algorithm(s)

Tuesday, at the annual meeting of the French Economic Association, I was having lunch Alfred, and while we were chatting about modeling issues (econometric models against machine learning prediction), he asked me what boosting was. Since I could not be very specific, we’ve been looking at wikipedia page. Boosting is a machine learning ensemble meta-algorithm for reducing bias primarily and also...

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remote update, paper & poster

June 26, 2015
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remote update, paper & poster

Just a few quick lines today to announce an update to the remote package (1.0.0 now on CRAN) We have uploaded a first major release of remote to CRAN a couple of weeks ago. Most relevant changes are: bottleneck functions … Continue reading →

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Geomorph update 2.1.6 Now Available!

June 25, 2015
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Geomorph users,We have uploaded version 2.1.6 of geomorph* to CRAN. The windows and mac binaries have been compiled and the tarball is available.New Features:New globalIntegration() function for evaluating integration vs. self-similarity...

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KDD Cup 2015: The story of how I built hundreds of predictive models….And got so close, yet so far away from 1st place!

June 25, 2015
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KDD Cup 2015: The story of how I built hundreds of predictive models….And got so close, yet so far away from 1st place!

(This article was first published on Data Until I Die!, and kindly contributed to R-bloggers) The challenge from the KDD Cup this year was to use their data relating to student enrollment in online MOOCs to predict who would drop out vs who would stay. The short story is that using H2O and a lot of my free time,...

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Working with the RStudio CRAN logs

June 25, 2015
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Working with the RStudio CRAN logs

by Joseph Rickert The installr package has some really nice functions for working with the daily package download logs for the RStudio CRAN mirror which RStudio graciously makes available at http://cran-logs.rstudio.com/. The following code uses the download_RStudio_CRAN_data() function to download a month's worth of .gz compressed daily log files into the test3 directory and then uses the function read_RStudio_CRAN_data()to...

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Learn to Map Census Data in R

June 25, 2015
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Learn to Map Census Data in R

(This article was first published on AriLamstein.com » R, and kindly contributed to R-bloggers) Today I am happy to announce a new free email course: Mapping Census Data in R. You can sign up via the form at the bottom of this post. The course is designed to provide similar information to what I covered in my tutorial Analyzing US Census Data...

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