1. Introduction to Machine Learning* Prof. D. Spears COSC 4010/5010, Section 1 Spring 2004 * This material is taken from the textbook, Machine Learning, Volume I , Eds. Michalski, Carbonell, and Mitchell, Tioga, 1983, and from Artificial Intelligence by Russell and Norvig.

3. Other Disciplines From Which Machine Learning Draws Ideas and Techniques machine learning AI probability & statistics computational complexity theory control theory information theory philosophy psychology neurophysiology ethology decision theory game theory optimization biological evolution statistical mechanics

11. A general model of learning agents environment critic learning element problem generator performance element AGENT feedback learning goals knowledge changes external performance standard sensors effectors

12. Evaluating Learners A C C U R A C Y AMOUNT OF TRAINING DATA SEEN on unseen data Learning curves