Blog Archives

Don’t give up on single trees yet…. An interactive tree with Microsoft R

December 10, 2016
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Don’t give up on single trees yet…. An interactive tree with Microsoft R

Introduction A few days ago Microsoft announced their new Microsoft R Server 9.0 version. Among a lot of new things, it includes some new and improved machine learning algorithms in their MicrosoftML package. Fast linear learner, with support for L1 … Continue reading →

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Don’t buy a brand new Porsche 911 or Audi Q7!!

October 19, 2016
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Don’t buy a brand new Porsche 911 or Audi Q7!!

Introduction Many people know that nasty feeling when buying a brand new car. The minute that you have left the dealer, your car has lost a substantial amount of value. Unfortunately this depreciation is inevitable, however, the amount depends heavily … Continue reading →

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Danger, Caution H2O steam is very hot!!

September 30, 2016
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Danger, Caution H2O steam is very hot!!

H2O has recently released its steam AI engine, a fully open source engine that support the management and deployment of machine learning models. Both H2O on R and H2O steam are easy to set up and use. And both complement each … Continue reading →

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Some insights in soccer transfers using Market Basket Analysis

September 12, 2016
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Some insights in soccer transfers using Market Basket Analysis

Introduction Although more than 20 years old, Market Basket Analysis (MBA) (or association rules mining) can still be a very useful technique to gain insights in large transactional data sets. The classical example is transactional data in a supermarket. For … Continue reading →

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New chapters for 50 shades of grey….

July 27, 2016
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New chapters for 50 shades of grey….

Introduction Some time ago I had the honor to follow an interesting talk from Tijmen Blankevoort on neural networks and deeplearning. Convolutional and recurrent neural networks were topics that already caught my interest and this talk inspired me to dive into … Continue reading →

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The Eurovision 2016 song contest in an R Shiny app

April 18, 2016
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The Eurovision 2016 song contest in an R Shiny app

Introduction In just a few weeks the Eurovision 2016 song contest will be held again. There are 43 participants, two semi-finals on the 10th and 12th of May and a final on the 14th of May. It’s going to be a … Continue reading →

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Delays on the Dutch railway system

January 8, 2016
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Delays on the Dutch railway system

I almost never travel by train, the last time was years ago. However, recently I had to take the train from Amsterdam and it was delayed for 5 minutes. No big deal, but I was just curious how often these … Continue reading →

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Analyzing “Twitter faces” in R with Microsoft Project Oxford

December 21, 2015
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Analyzing “Twitter faces” in R with Microsoft Project Oxford

Introduction In my previous blog post I used the Microsoft Translator API in my BonAppetit Shiny app to recommend restaurants to tourists. I’m getting a little bit addicted to the Microsoft API’s, they can be fun to use :-). In … Continue reading →

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Bon Appetit: A restaurant recommender for tourists visiting the Netherlands

December 4, 2015
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Bon Appetit: A restaurant recommender for tourists visiting the Netherlands

Introduction More and more tourists are visiting The Netherlands, this will become very clear if you walk through the center of Amsterdam on a sunny day. All those tourists need to eat somewhere, in some restaurant. You can see their … Continue reading →

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A little H2O deeplearning experiment on the MNIST data set

November 25, 2015
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A little H2O deeplearning experiment on the MNIST data set

Introduction H2O is a fast and scalable opensource machine learning platform. Several algorithms are available, for example neural networks, random forests, linear models and gradient boosting. See the complete list here. Recently the H2O world conference was held, unfortunately I … Continue reading →

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