LDA and QDA
Compare shared and class-specific covariance, then examine sample support and regularisation limits.
Helpful prior knowledge: Gaussian Naive Bayes. These links are guidance, not locks.
Follow teaches the idea; Change asks you to make a choice; Transfer changes the context. Apply, reviews and checkpoints appear where the existing lessons provide them. Go Further lessons are optional.
Lessons in this model deck
Start with the first core lesson →
LDA shares a covariance shape
Understand shared class geometry and linear boundaries.
25–40 min · 4 practicesQDA allows class-specific shapes
Balance covariance flexibility against data support and stability.
25–40 min · 5 practicesCovariance support and regularisation limits
Qualify numerical stability and unit effects.
12–18 min · 3 practicesBrowse all Classification lessons, reviews and checkpoints →