A 9-month self-curated deep-dive into select topics in machine learning and distributed computing.

A Python library for some canonical neural networks, with a self-righteous emphasis on readability.

Performing gradient descent on a single neuron.

A web app for Spotify music recommendation using Implicit Matrix Factorization and "country arithmetic."

Implementing custom loss functions in Python using autograd.

A Scala-based web app that gives travel recommendations via Twitter data and the Jaccard similarity.

Auto-generating travel blog posts via Markovian processes.

Predicting the difficulty of the road ahead: a bike ride through Southeast Asia.

Rudimentary text-mining of Latin American constitutions.

In our previous post we chose to cluster South American airports into \(k = 3\) distinct groups; moving forward, we'll take a closer look at what this really means.