CS229Lecturenotes

Generative Learning algorithms So far, we’ve mainly been talking about learning algorithms that model p(y|x; θ), the conditional distribution of y given x. For instance, logistic regression modeled p(y|x; θ) as h(x) = g(θT x) where g is the sigmoid func- tion. In these notes, we’ll talk about a diff