CSCE 496/896 lecture slides

o Lectures 0 and 1: Administrivia and Introduction
o Lecture 2: Concept Learning and the General-to-Specific Ordering
o Lecture 3: Computational Learning Theory
o Lecture 4: Decision Trees
o Lecture 5: Artificial Neural Networks
o Lecture 6: Evaluating Hypotheses
o Lecture 7: Combining Classifiers: Weighted Majority, Boosting, and Bagging
o Lecture 8: Bayesian Learning
o Lecture 9: Instance-Based Learning
o Lecture 10: Reinforcement Learning

Return to the CSCE 496/896 Home Page