concept:bagging
Bagging
Bagging in the context of production machine-learning systems.
Lessons
Formal explanations, examples, simulations, and checkpoints.
Trees, forests & gradient boosting
Trees as learned decision rules
A tree learns readable local rules; constraints keep those rules from becoming a lookup table.
Trees, forests & gradient boostingRandom forests and diversity
A forest is strong when its trees are individually useful and collectively disagree in the right ways.
Trees, forests & gradient boostingGradient boosting as error correction
Boosting learns by repeatedly asking: what structured error remains?
Courses & assignments
Dependency-authoritative learning units.
Casebook
Reported facts and course reconstructions.