Issues:  data modeling
	Generative methods • model the “shape” of each class – histograms, PCA, mixtures of Gaussians – graphical models (HMM’s, belief networks, etc.) – ... Discriminative methods • model boundaries between classes – perceptrons, neural networks – support vector machines (SVM’s)