Meet Dominik, our Open Source Tech Lead Before Dominik took a leadership role he used to be a Data Scientist at Appsilon. He has five years of experience in Python and R programming, mostly from data science and machine learning related project... [Read more...]

Who says there's no art in mathematics? I've long admired the generative art that Thomas Lin Peterson occasionally posts (and that you can see on Instagram), and though he's a prolific R user I'm not quite sure how he makes his art. Marcus Volz has another beautiful portfolio of generative ... [Read more...]

This post describes the tools I currently use for working with data. People often ask me to recommend specific tools, and I always hesitate, because so much boils down to personal preference. I recently added a workshop to the DSS lineup providing an ... [Read more...]

In the last months, I started increasingly using Rmd documents for preparing scientific reports, blog posts, etcetera. While I really like the flexibility offered by the system, one thing that I thought could be improved is the support for easily inserting tables. So, “inspired” also by the recent addition of ... [Read more...]

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In this blogpost, we will show 6 keyword extraction techniques which allow to find keywords in plain text. Keywords are frequently occuring words which occur somehow together in plain text. Common examples are New York, Monte Carlo, Mixed Models, Brussels Hoofdstedelijk Gewest, Public Transport, Central Station, p-values, ... If you master these ... [Read more...]

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I’ve often said that the foundation of data science is data analysis. That’s not to say that data analysis and data science are 100% synonymous (they’re not), but rather that you need to master the basic tools of data analysis before you can get into the more advanced ... [Read more...]

The Reliability chapter of my Empirical software engineering book has been added to the draft pdf (download here). I have been working on this draft for four months and it still needs lots of work; time to move on and let it stew for a while. Part of the problem ... [Read more...]

I like to start my courses in energy economics and environmental economics by asking some question like Which energy source, e.g. gas, coal, nuclear, oil, renewables had the largest absolute increase in world wide energy consumption between the years 2000 und 2016? And then show some data. Below you can see ... [Read more...]

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In early March, the Bay Area useR Group was able to hold an R and TensorFlow mini-conference on Google’s new Sunnyvale campus. Pete Mohanty, a Stanford researcher and frequent BARUG speaker, lead off with a talk on his recent kerasformula package, which allows R users to call a keras-based ... [Read more...]

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In this post we’re going to explore the Chi Squared Goodness of Fit test using M&M’s as our subject material. From there we’ll take a look at simultaneous confidence intervals a.k.a. multiple comparisons. On the R side of things we’ll make use of ... [Read more...]

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