machine-learning

Generative classifiers: LDA and QDA

taught

Classifying via Bayes' theorem and Gaussian class-conditional densities, with shared vs. per-class covariance controlling linear vs. quadratic boundaries.

Taught in

Generative classifiers: LDA and QDA
Modern Machine Learning

Requires

probability-vocabulary-for-ml required
binary-logistic-regression required

Required by

Naive Bayes, revisited for classification required

Local knowledge map

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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.