articles

Short explainers on how the boring-but-important parts of machine learning actually work. First-principles, diagrams, pseudocode you can port.

explainer · 10 min

Feature Importance and Partial Dependence Plots

Cracking open the black box. Which inputs your model is actually using, how each one bends the prediction, and why the lazy scatter plot lies. Interactive widget, scribble diagrams.