3 credits(3 hrs Lec)Introduction to the framework of learning from examples, various learning algorithms such as neural networks, and generic learning principles such as inductive bias, Occam’s Razor, and data mining. Reviews some statistical learning techniques, but focus is on non-statistical techniques.