Principal Component Analysis
PCA is one of those concepts that gets overused and under-explained. This is a useful reference for the intuition, terminology, and tradeoffs around dimensionality reduction.
Keeping it because PCA sits at a nice intersection for this site: linear algebra, exploratory data analysis, feature review, and the danger of compressing structure before you know what matters.