Blog Archives

Optimization matchup: R’s glpkAPI vs Julia’s JuMP

December 5, 2016
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tl;dr: although I use R every day and love it, doing mathematical programming using Julia is much simpler and more flexible than anything I know that is currently available in R.Recently I have learned that Iain Dunning and Joey Huchette and Miles Lubin have received 2016 INFORMS Computing Society prize for the development of JuMP, a Julia-based domain-specific modeling...

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Deep learning in the cloud with MXNet

October 19, 2016
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Last Friday together with Przemysław Szufel and Wit Jakuczun we were giving a live demo on introduction to deep learning at Digital Champions conference.The objective of the workshop was to show how to build a simple predictive model using MXNet library in a few minutes. In the example, we train a model on...

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R+H2O for marketing campaign modeling

September 30, 2016
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My last post about telco churn prediction with R+H2O attracted unexpectedly high response. It seems that R+H2O combo has currently a very good momentum :). Therefore Wit Jakuczun decided to publish a case study that he uses in his R boot camps that is based on the same technology stack.You can find the shortened version of the case...

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Telco churn prediction with R+H2O

September 12, 2016
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Recently together with my friend Wit Jakuczun we have discussed about a blog post on Revolution showing application of SQL Server R services to build and run telco churn model. It is a very nice analysis and we thought that it would be interesting to compare the results to H2O, which is a great tool for automated...

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Sequence generation in R, Python and Julia

January 6, 2015
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Recently I was comparing implementation of sequence generation functions in R, Python (numpy) and Julia. Interestingly even such basic functions have slight differences in implementation. In my opinion Julia provides the best solution and Python the wo...

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Comparing localsolver with Rglpk on k-medoids example

July 16, 2014
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Recently I have coauthored a new localsolver package that can be used to solve large scale optimization problems from R. It is a wrapper around commercial solver that is free for academia. If you are interested why it is worthwhile to give it a lo...

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R Scrabble: Part 2

June 25, 2014
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R Scrabble: Part 2

Ivan Nazarov and Bartek Chroł gave very interesting comments to my last post on counting number of subwords in NGSL words. In particular they proposed large speedups of my code. So I thought to try checking a larger data set. So today I will work with TWL2006 - the official word authority for tournament Scrabble...

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RGolf: NGSL Scrabble

June 14, 2014
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RGolf: NGSL Scrabble

It is last part of RGolf before summer. As R excels in visualization capabilities today the task will be to generate a plot.We will work with NGSL data - a list of 2801 important vocabulary words for students of English as a second ...

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RGolf: rolling window

May 30, 2014
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I have learned a lot from my last RGolf post. Therefore today I have another problem from practice.You have a data set on values of contracts signed by ten salesmen. It has three columns: person id (p), contract value (v) and time (t).Here is the code ...

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RGolf

May 16, 2014
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Its time for some fun today - because its Friday as David Smith says :).There are many code golf sites, even some support R. However, most of them are algorithm oriented. A true RGolf competition should involve transforming a source data frame to some ...

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