Inference, estimation, and decision-making from data
There are two fundamentally different ways to build a classifier, and the split runs through all of machine learning. A discriminative model learns the boundary between classes directly. A generative model learns how each class generates its data, and derives the boundary as a by-product.
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▶ Generative vs Discriminative