Blog Archives

Association rules using FPGrowth in Spark MLlib through SparklyR

November 23, 2017
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Association rules using FPGrowth in Spark MLlib through SparklyR

Introduction Market Basket Analysis or association rules mining can be a very useful technique to gain insights in transactional data sets, and it can be useful for product recommendation. The classical example is data in a supermarket. For each customer … Continue reading →

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Dataiku 4.1.0: More support for R users!

November 20, 2017
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Dataiku 4.1.0:  More support for R users!

Introduction Recently, Dataiku 4.1.0 was released, it now offers much more support for R users. But wait a minute, Data-what? I guess some of you do not know Dataiku, so what is Dataiku in the first place? It is a … Continue reading →

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The Bold & Beautiful Character Similarities using Word Embeddings

October 12, 2017
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The Bold & Beautiful Character Similarities using Word Embeddings

Introduction I often see advertisement for The Bold and The Beautiful, I have never watched a single episode of the series. Still, even as a data scientist you might be wondering how these beautiful ladies and gentlemen from the show … Continue reading →

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The one function call you need to know as a data scientist: h2o.automl

August 30, 2017
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The one function call you need to know as a data scientist: h2o.automl

Introduction Two things that recently came to my attention were AutoML (Automatic Machine Learning) by h2o.ai and the fashion MNIST by Zalando Research. So as a test, I ran AutoML on the fashion mnist data set. H2o AutoML As you all … Continue reading →

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Oil leakage… those old BMW’s are bad :-)

August 18, 2017
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Oil leakage…  those old BMW’s are bad :-)

Introduction My first car was a 13 year Mitsubishi Colt, I paid 3000 Dutch Guilders for it. I can still remember a friend that would not like me to park this car in front of his house because of possible … Continue reading →

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Interactive sunbuRst graphs in Power BI in 5 minutes!!

July 13, 2017
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Interactive sunbuRst graphs in Power BI in 5 minutes!!

Introduction If I mention Power BI to fellow data scientists I often get strange looks. However, I quite like the tool, it is an easy and fast way to share results, KPI’s and graphs with others. With the latest release, Power BI now … Continue reading →

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A “poor man’s video analyzer”…

June 16, 2017
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A “poor man’s video analyzer”…

Introduction Not so long ago there was a nice dataiku meetup with Pierre Gutierrez talking about transfer learning. RStudio recently released the keras package, an R interface to work with keras for deep learning and transfer learning. Both events inspired … Continue reading →

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Test driving Python integration in R, using the ‘reticulate’ package

April 10, 2017
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Test driving Python integration in R, using the ‘reticulate’ package

Introduction Not so long ago RStudio released the R package ‘reticulate‘, it is an R interface to Python. Of course, it was already possible to execute python scripts from within R, but this integration takes it one step further. Imported … Continue reading →

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Because its Friday… The IKEA Billy index

March 17, 2017
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Because its Friday… The IKEA Billy index

Introduction Because it is Friday, another ‘playful and frivolous‘ data exercise ? IKEA is more than a store, it is a very nice experience to go through. I can drop of my two kids at smàland, have some ‘quality time’ … Continue reading →

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R formulas in Spark and un-nesting data in SparklyR: Nice and handy!

February 15, 2017
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R formulas in Spark and un-nesting data in SparklyR: Nice and handy!

Intro In an earlier post I talked about Spark and sparklyR and did some experiments. At my work here at RTL Nederland we have a Spark cluster on Amazon EMR to do some serious heavy lifting on click and video-on-demand … Continue reading →

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