Building a Book Recommendation System using Matrix Factorization and Single Value Decomposition

Every monday, I hit the “Discover Weekly” list to see what Spotify’ came up with in personalized offerings, specifically tailored to the music I fed it the week before. Sometimes I’d come across a hidden gem (with a few music skips), and sometimes I’d be totally disappointed. But the truth is, I am usually at … Continue reading Building a Book Recommendation System using Matrix Factorization and Single Value Decomposition

Advice to Management — Overcoming the AI Hype by Focusing on Problem, People & Data

Source: GettyImages Let’s face it. The current media headlines have all managed to make us believe AI is the Alohomora to all your problems: AI will open all doors that were previously locked and unpenetratrable by your baseline systems in use. From detecting early cancer signs, to accelerating drug discovery, to optimizing revenue and sales … Continue reading Advice to Management — Overcoming the AI Hype by Focusing on Problem, People & Data

Resampling Methods for Unbalanced Datasets - Fraudulent Transactions

Suppose you are tasked with developing a simple machine learning algorithm, whether supervised (with a clear target variable) or unsupervised (with no predefined outcome variable). But looking at your data, it seems that one class dominates the other. In such case, your model will have a hard time learning from your data to predict future classes.  … Continue reading Resampling Methods for Unbalanced Datasets - Fraudulent Transactions