concept:regularization
Regularization
Regularization in the context of production machine-learning systems.
Lessons
Formal explanations, examples, simulations, and checkpoints.
Linear, probabilistic, neighbor & margin models
Linear regression as a production baseline
A linear baseline is valuable because its assumptions, errors, and serving cost are easy to see.
Linear, probabilistic, neighbor & margin modelsLogistic regression, odds, and calibration
Logistic regression adds evidence in log-odds space; calibration and policy give that score operational meaning.
Courses & assignments
Dependency-authoritative learning units.
Casebook
Reported facts and course reconstructions.