concept:explained-variance
Explained Variance
Explained Variance in the context of production machine-learning systems.
Lessons
Formal explanations, examples, simulations, and checkpoints.
Unsupervised learning, anomalies & retrieval
PCA and representation geometry
PCA preserves dominant geometric variation, not automatically the information your decision needs.
Unsupervised learning, anomalies & retrievalClustering as an operational hypothesis
A cluster becomes knowledge only when stable geometry connects to a repeatable human or system action.
Unsupervised learning, anomalies & retrievalDensity clusters and novel anomalies
Density methods flag what is locally disconnected; people and outcomes determine what is truly novel and important.
Courses & assignments
Dependency-authoritative learning units.
Casebook
Reported facts and course reconstructions.