Fall 2003 CS 195-5 Intorduction to Machine Learning   Summer 2003 CS 900-3a A Multifaceted Introduction to Computer Science   Spring 2003 CS 004 Introduction to Scientific Computing   Fall 2002 CS 195-5 Introduction to Machine Learning The course provides a systematic introduction to machine learning, covering theoretical as well as practical aspects of the use of statistical methods in Artificial Intelligence. Covered topics include linear models, decision trees, neural networks, support vector machines, regularization theory, graphical models, and reinforcement learning. Application examples are taken from areas like information retrieval, natural language processing, computer vision, and computational biology. Spring 2002 CS 004 Introduction to Scientific Computing Fall 2001 CS 295-3 Machine Learning and Pattern Recognition   Fall 2000 CS 295-3 Topics in Vision and Learning with Michael Black Spring 2000 CS 4 Introduction to Scientific Computing with Nancy Pollard Fall 1999 CS 295-3 Topics in Information Retrieval and Data Mining