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Contact Info |
| Instructor:
Pedro Domingos Office: CSE 648 Office hours: Tuesdays 5:30-6:20, and by appointment |
TA: Parag Office: CSE 216 Office hours: Tuesdays 5:30-6:20, and by appointment |
Class meets:
Tuesdays 6:30-9:20 in EE1 037
| Week | Topics & Lecture Notes |
|---|---|
| Week 1 (Oct 5) | Introduction; data warehousing and OLAP PPT , PDF |
| Week 2 (Oct 12) | Inductive learning, decision trees PPT , PDF |
| Week 3 (Oct 19) | Rule induction PPT, PDF |
| Week 4 (Oct 26) | Bayesian learning PPT, PDF |
| Week 5 (Nov 2) | Neural networks PPT, PDF |
| Week 6 (Nov 9) | Genetic algorithms, model ensembles PPT, PDF |
| Week 7 (Nov 16) | Instance-based learning PPT, PDF |
| Week 8 (Nov 23) | Learning theory PPT, PDF |
| Week 9 (Nov 30) | Association rules PPT, PDF |
| Week 10 (Dec 7) | Clustering PPT, PDF |
| Schedule | Assignment | % of Grade | Topic | Additional Info |
|---|---|---|---|---|
| Weeks 2-3 | Homework 1 | 20 | Data warehousing and OLAP, decision trees | |
| Weeks 3-6 | Project 1 | 20 | Clickstream mining | |
| Weeks 6-7 | Homework 2 | 20 | Rule ind., Bayesian learning, neural nets, GAs, ensembles | |
| Weeks 7-9 | Project 2 | 20 | Text classification | |
| Weeks 9-10 | Homework 3 | 20 | IBL, theory, association rules |
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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 parag@cs.washington.edu] |
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