E-Book: Probabilistic Programming & Bayesian Methods for Hackers

The Bayesian method is the natural approach to inference, yet it is hidden from readers behind chapters of slow, mathematical analysis. Nevertheless, mathematical analysis is only one way to “think Bayes”. With cheap computing power, we can now afford to take an alternate route via probabilistic programming. Cam Davidson-Pilon wrote the book Bayesian Methods for…

Helpful resources for A/B testing

Brandon Rohrer — (former) data scientist at Microsoft, iRobot, and Facebook — asked his network on Twitter and LinkedIn to share their favorite resources on A/B testing. It produced a nice list, which I summarized below. The order is somewhat arbitrary, and somewhat based on my personal appreciation of the resources. Course: A/B-testing by Google…

Recreating graphics from the Fundamentals of Data Visualization

Claus Wilke wrote the Fundamentals of Data Visualization – a great resource that’s definitely high on my list of recommended data visualization books. In a recent post, Claus shared the link to a GitHub repository where he hosts some of the R programming code with which Claus made the graphics for his dataviz book. The…

Recommended Books on Data Visualization

Data visualization and the (in)effective communication of information are salient topics on this blog. I just love to read and write about best practices related to data visualization (or bad practices), or to explore novel types of complex graphs. However, I am not always online, and I am equally fond of reading about data visualization…

Generating Book Covers By Their Words — My Dissertation Cover

As some of you might know, I am defending my PhD dissertation later this year. It’s titled “Data-Driven Human Resource Management: The rise of people analytics and its application to expatriate management” and, over the past few months, I was tasked with designing its cover. Now, I didn’t want to buy some random stock photo…

(Time Series) Forecasting: Principles & Practice (in R)

I stumbled across this open access book by Rob Hyndman, the god of time series, and George Athanasopoulos, a colleague statistician / econometrician at Monash University in Melbourne Australia. Hyndman and Athanasopoulos provide a comprehensive introduction to forecasting methods, accessible and relevant among others for business professionals without any formal training in the area. All R examples…

HR Analytics: Een 7e zintuig voor de moderne HR-professional

Wat gebeurt er in Nederland op het gebied van HR Analytics? Dit nieuwe boek laat zien wat enkele Nederlandse organisaties de afgelopen jaren daadwerkelijk hebben ondernomen. De verschillende auteurs, waaronder ik mij mag scharen, geven een kijkje in de praktijkwereld van het onderbouwen van HR-beslissingen aan de hand van diverse databronnen en analysetechnieken. Ze verklaren…

Machine Learning & Deep Learning book

The Deep Learning textbook helps students and practitioners enter the field of machine learning in general and deep learning in particular. Its online version is available online for free whereas a hardcover copy can be ordered here on Amazon. You can click on the topics below to be redirected to the book chapter: Part I: Applied Math…

Python resources (free courses, books, & cheat sheets)

Find more comprehensive Python repositories:Vinta’s awesome Python Github repository, the easy Python docs, the Python Wiki Beginners Guide, or CourseDuck’s overview of free Python courses! My list of Python resources is still quite short so if you have additions, please comment below or contact me! There are separate overviews for Data Science, Machine Learning, & Statistics resources in…