Contribute to Tony-Tan/ML development by creating an account on GitHub. (more…)

Computational scientific discovery is at an interesting juncture. While we have... (more…)

This approach is contrary to Fisher's method where we formulate all theories before encountering the data. We came up with the model after we saw the cards we drew. (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…)

Recently, a few people asked me about machine learning. How the hell on earth does it work?! Their chief issue was they could not get the… (more…)