t-SNE, the Ultimate Drum Machine and more

This blog explains t-SNE (t-Distributed Stochastic Neighbor Embedding) by a story of programmers joining forces with musicians to create the ultimate drum machine (if you are here just for the fun, you may start playing right away). Kyle McDonald, Manny Tan, and Yotam Mann experienced difficulties in pinpointing to what extent sounds are similar (ding, dong) … Continue reading t-SNE, the Ultimate Drum Machine and more

Generating images from scratch: Parallel Multiscale Autoregressive Density Estimation

A while ago, I blogged about this new algorithm, pix2code, which takes in pictures of graphical user interfaces and outputs the underlying code. Today, I discovered another fantastic algorithm, by Scott Reed and his colleagues at Google Deepmind. txt2pix would be a catchy name for this algorithm, as it can take in a fairly complex sentence (e.g., "a … Continue reading Generating images from scratch: Parallel Multiscale Autoregressive Density Estimation

pix2code: teaching AI to build apps

Last May, Tony Beltramelli of Ulzard Technologies presented his latest algorithm pix2code at the NIPS conference. Put simply, the algorithm looks at a picture of a graphical user interface (i.e., the layout of an app), and determines via an iterative process what the underlying code likely looks like. Please watchUlzard's pix2code demo video or the third-party summary at the … Continue reading pix2code: teaching AI to build apps

TACIT: An open-source text analysis, crawling, and interpretation tool

Click here for the original PDF: TACIT 2017 The first programs for (scientific) text mining are already over 50 years old. More recent efforts, such as the Linguistic Inquiry Word Count (LIWC; Tausczik & Pennebaker, 2010), have greatly improved our text analytical capabilities. Moreover, several single-purpose programs have been developed, which also consider syntactic text structures … Continue reading TACIT: An open-source text analysis, crawling, and interpretation tool

Statistics Visually Explained

Statistical literacy is essential to our data-driven society. Analytics has been and continues to be a game changer in many business fields, among other Human Resources. Yet, for all the increased importance and demand for statistical competence, the pedagogical approaches in statistics have barely changed. Seeing Theory is a project designed and created by Daniel … Continue reading Statistics Visually Explained

Expanding the methodological toolbox of HRM researchers

The HR technology landscape is evolving rapidly and with it, the HR function is becoming more and more data-driven (though not fast enough, some argue). HRM research, however, is still characterized by a strong reliance on general linear models like linear regression and ANOVA. In our forthcoming article in the special issue on Workforce Analytics of … Continue reading Expanding the methodological toolbox of HRM researchers