Blog Archives

Cucumber time, food on a 2D plate / plane

July 27, 2018
By
Cucumber time, food on a 2D plate / plane

Introduction It is 35 degree Celsius out side, we are in the middle of the ‘slow news season’, in many countries also called cucumber time.  A period typified by the appearance of less informative and frivolous news in the media. … Continue reading →

Read more »

Amsterdam in an R leaflet nutshell

April 25, 2018
By
Amsterdam in an R leaflet nutshell

The municipal services of Amsterdam (The Netherlands) is providing open panorama images. See here and here. A camera car has driven around in the city, and now you can download these images. Per neighborhood of Amsterdam  I randomly sampled 20 … Continue reading →

Read more »

Is that a BMW or a Peugeot?

April 13, 2018
By
Is that a BMW or a Peugeot?

Introduction My son is 8 years old and he has shown a lot of interest in cars, which is strange because I have zero interest in cars. But he is driving me crazy when we have a car ride: “dad … Continue reading →

Read more »

t-sne dimension reduction on Spotify mp3 samples

January 31, 2018
By
t-sne dimension reduction on Spotify mp3 samples

Introduction Not long ago I was reading on t-Distributed Stochastic Neighbor Embedding (t-sne), a very interesting dimension reduction technique, and on Mel frequency cepstrum a sound processing technique. Details of both techniques can be found here and here. Can we combine … Continue reading →

Read more »

The ‘I-Love-IKEA’ – web app, built at the IKEA Hackaton with R and Shiny

December 10, 2017
By
The ‘I-Love-IKEA’ – web app, built at the IKEA Hackaton with R and Shiny

Introduction On the 8th, 9th and 10th of December I participated at the IKEA hackaton. In one word it was just FANTASTIC! Well organized, good food, and participants from literally all over the world, even the heavy snow fall on … Continue reading →

Read more »

Association rules using FPGrowth in Spark MLlib through SparklyR

November 23, 2017
By
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 →

Read more »

Dataiku 4.1.0: More support for R users!

November 20, 2017
By
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 →

Read more »

The Bold & Beautiful Character Similarities using Word Embeddings

October 12, 2017
By
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 →

Read more »

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

August 30, 2017
By
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 →

Read more »

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

August 18, 2017
By
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 →

Read more »

Search R-bloggers


Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)