Slides should appear here by noon of each class day and will be available in the following formats: PDF, and Powerpoint. Non-slide handouts will be available in PDF, GIF/jpeg, and Microsoft Word (or other appopriate format). Lectures, unless otherwise noted will be posted by the Friday following class.
Lecture 2: Inductive Learning & Decision Trees - 4/4/2001
Lecture 3: Rule Induction - 4/11/2001
Lecture 4: Bayesian Learning - 4/18/2001
Lecture 5: Neural Networks - 4/25/2001
Lecture 6: Genetic Algorithms & Model Ensembles - 5/2/2001
Lecture 7: Instance-based Learning - 5/9/2001
Lecture 8: Learning Theory - 5/16/2001
Lecture 9: Association Rules - 5/23/2001
Lecture 10: Clustering - 5/30/2001
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Department of Computer Science & Engineering University of Washington Box 352350 Seattle, WA 98195-2350 (206) 543-1695 voice, (206) 543-2969 FAX [comments to rprieto] |