Interpretable machine learning gives us tools to find and fix the blind spots in our data and models.

A dive into the world of ML and AI evaluation, and a reminder to be brutally honest about the ways in which our data, models, and evaluations can mislead us.

An exploration of the Winner’s Curse, how it causes us to overestimate model performance, and what to do about it.