Over six months ago I decided to embark on a learning journey of image analysis using Python. After carefully reviewing various options I took a two-course offer from OpenCV.org for about US$479, chiefly because of i) the pivotal role of OpenCV as an open-source toolkit in computer vision, ii) the relevance of the course modules, and iii) the vast … Continue reading Object detection and tracking in Python
UMAP clustering in Python
Embracing Python in this tutorial series has long been a matter of time. For the last five years I have been championing R mostly because of its wide applicability and quite frankly, my own convenience. However, there is little any programming language can do to singlehandedly solve a variety of statistical and computational challenges and … Continue reading UMAP clustering in Python
Audio classification 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
Twitter data analysis 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