Alternating Least Squares Collaborative Filtering
Overview: Recommender Systems are among the most widely used Machine Learning systems deployed in the real world that actually make money and improve user ex...
Posts
Multiarmed Bandits
Overview: In this post I will cover various algorithms for bandit problems. The algorithms will be greedy, epsilon-greedy, Upper Confidence Bound (UCB), and ...
Flask deployment of Gaussian Mixture Model
Overview: In this post I go over deploying a machine learning model on a Flask development server using Flask and Docker. The machine learning model is the G...
Gaussian Mixture Model
Overview: In a previous post I covered Expectation Maximisation as an algorithm for estimating parameters in latent variable models.
Expectation Maximisation
Overview: EM is a method for estimating parameters of a latent variable model. For most non-trivial problems, the use of latent variables is instrumental for...