Class Lecture Slides and Multimedia Archives

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 1: Introduction & Data Warehousing - 3/28/2001

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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University of Washington
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Seattle, WA  98195-2350
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