Visiting Berlin in December 2013, some friends and I spent one evening at the White Trash, a rockabilly-vibe bar decorated with hanging skeletons and a couple of conspicuous portraits of Ian "Lemmy", the late frontman of Motörhead. Incidentally, I remember trying to guess what song was playing at a certain moment when a friend opened Shazam from … Continue reading Audio classification in R →

Like many other fans of the show, I had great expectations for the eighth and last season of Game of Thrones (GoT) that premiered on 14 April 2019. The much anticipated moment coincided with the few last days I spent finalising my last post on Bayesian models. Nonetheless, it provided a good testing ground for … Continue reading Twitter data analysis in R →

If there was something that always frustrated me was not fully understanding Bayesian inference. Sometime last year, I came across an article about a TensorFlow-supported R package for Bayesian analysis, called greta. Back then, I searched for greta tutorials and stumbled on this blog post that praised a textbook called Statistical Rethinking: A Bayesian Course with Examples in … Continue reading Bayesian models in R →

Among most popular off-the-shelf machine learning packages available to R, caret ought to stand out for its consistency. It reaches out to a wide range of dependencies that deploy and support model building using a uniform, simple syntax. I have been using caret extensively for the past three years, with a precious partial least squares (PLS) tutorial in … Continue reading The tidy caret interface in R →