Photo by Kevin Steinhardt When Azeem asked me to give a talk at CogX, he asked me to focus on just a single point that I wanted the audience to take away. A few years ago my priority would have bee… (more…)

There has always been a census undercount because some people are hard to locate, contact, and interview. Read here how OmniSci is used to visualize a massive GPS mobility dataset, correlate the observations with historical censuses, and then predict cens... (more…)

This is companion wiki of The Hundred-Page Machine Learning Book by Andriy Burkov. The book that aims at teaching machine learning in a concise yet systematic manner. (more…)

Linear regression is perhaps one of the most well known and well understood algorithms in statistics and machine learning. In this post you will discover the linear regression algorithm, how it works and how you can best use it in on your machine learning... (more…)

ML models often exhibit unexpectedly poor behavior when they are deployed in real-world domains. We identify underspecification as a key reason for these failures. An ML pipeline is underspecified when it can return many predictors with equivalently stron... (more…)