Privacy, Compliance, and Ethical Issues with Predictive People Analytics

November 9th 2018, I defended my dissertation on data-driven human resource management, which you can read and download via this link. On page 149, I discuss several of the issues we face when implementing machine learning and analytics within an HRM context. For the references and more detailed background information, please consult the full dissertation. More interesting reads on ethics in machine learning can be found here….

Bellwoods: A procedurally generated game in only 13 kilobytes

JS13K Games is a competition where developers are challenged to create an entire game using less than 13 kilobytes of memory. Creative developer Matt Deslaudiers participated and created Bellwoods: an art game for mobile and desktop that you can play in your browser. The concept of the game is simple: fly your kite through endless fields of colour and sound,…

Super Resolution: A Photo Enhancer AI

In the video below, one of my favorite YouTube channels (Two Minute Papers) discusses a new super resolution project where academic scholars taught a neural network to improve low quality photo’s. The researchers took the same picture with multiple camera’s of varying quality and allowed a neural network to learn how the lowest quality pictures can be adjusted to…

So You Think You Can (A/B) Test?

Decision making under uncertainty is complicated. These days, many business rely on real-life experiments, or A/B tests, to reduce that uncertainty and improve their decision-making. For instance, here’s a presentation on how A/B testing helps improve business outcomes at Etsy. Lukas Vermeer built So You Think You Can Test, an online simulation game in which you are the…

A/B testing and Statistics at Etsy, by Emily Robinson

Generating numbers is easy; generating numbers you should trust is hard! Emily Robinson is a data scientist at Etsy, an e-commerce website for handmade and vintage products. In the #rstats community, Emily is nearly as famous as her brother David Robinson, whom we know from the tidytext R-package. Like any large tech company, Etsy relies heavily…

Super Resolution: Increasing image quality CSI-like

Super-resolution imaging is a class of techniques that enhance the resolution of an imaging system (Wikipedia). The entertainment series CSI has been ridiculed for relying on exaggerated and unrealistic applications of it: Until recently, such upscaling of images were though near impossible. However, we have evidenced some pretty amazing breakthroughs in the deep learning space recently. Artificial Intelligence can think ahead, learn physics, and…

Facial Recognition Challenge: Chad Smith & Will Ferrell

The below summarizes Part 4 of a medium.com series by Adam Geitgey. Check out the original articles: Part 1, Part 2, Part 3, Part 4, Part 5, Part 6, Part 7 and Part 8! Adam Geitgey likes to write about computers and machine learning. He explains machine learning as “generic algorithms that can tell you something interesting about a set of data without you having to…

GAN: Generative Adversarial Networks

A Generative Adversarial Network, GAN in short, is a machine learning architecture where two neural networks compete against each other. One of them functions as a discriminator, seeking to optimize its classification of data (i.e., determine whether or not there is a cat in a picture). The other one functions as a generator, seeking to best…