Data science and bioinformatics tutorials
Category: R
It has been well over a year since my last entry, I have been rather quiet because someone has been rather loud 👶 Just last week I found some time to rewrite a draft on gradient descent from about two years ago, so here we are - back in business! Gradient descent is a fundamental … Continue reading Gradient descent in R
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
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