concept:distance-concentration
Distance Concentration
Distance Concentration in the context of production machine-learning systems.
Lessons
Formal explanations, examples, simulations, and checkpoints.
Linear, probabilistic, neighbor & margin models
kNN, distance, and local decisions
In kNN, representation defines the neighborhood, and the neighborhood defines the decision.
Linear, probabilistic, neighbor & margin modelsSVMs, margins, and kernels
SVMs learn from the boundary’s hardest points; kernels change geometry, not scores into probabilities.
Courses & assignments
Dependency-authoritative learning units.
Casebook
Reported facts and course reconstructions.