CSEP 546 - Data Mining

University of Washington School of Computer Science & Engineering

CSEP 546 - Data Mining - Spring 2017
Thursdays 6:30-9:20pm in Smith Hall room 102

CSE Home

About Us

Contact Info

Instructor: Pedro Domingos (pedrod at cs)
Office hours: Thursdays 5:30-6:20pm & by appointment, CSE 648

TA: Svet Kolev (swetko at cs)
Office hours: Thursdays 5:30-6:20pm at CSE 021 & by appointment
TA: Alon Milchgrub (alonmil at cs)
Office hours: Thursdays 5:30-6:20pm at CSE 220 & by appointment

Schedule

Week	Dates	Topics & Lecture Notes	Readings
1	March 30	Introduction (ppt, pdf), inductive learning (ppt, pdf)	Mitchell, Ch. 1; Duda, Ch. 1; paper
2	April 6	Decision trees (ppt, pdf)	Mitchell, Ch. 3; Duda, Ch. 8
3	April 13	Rule induction (ppt, pdf)	Mitchell, Ch. 10; Duda, Ch. 8
4	April 20	Instance-based learning (ppt, pdf)	Mitchell, Ch. 8; Duda, Ch. 4
5	April 27	Bayesian learning (ppt, pdf)	Mitchell, Ch. 6; Duda, Ch. 2 & 3
6	May 4	Neural networks (ppt, pdf)	Mitchell, Ch. 4; Duda, Ch. 6
7	May 11	Model ensembles (ppt, pdf)	Duda, Ch. 9
8	May 18	Learning theory (ppt, pdf)	Mitchell, Ch. 7; Duda, Ch. 9; paper
9	May 25	Support vector machines (ppt, pdf)	Duda, Ch. 5
10	June 1	Clustering and dimensionality reduction (ppt, pdf)	Duda, Ch. 10

Textbooks

R. Duda, P. Hart & D. Stork, Pattern Classification (2nd ed.), Wiley, 2001 (required).
Tom Mitchell, Machine Learning, McGraw-Hill, 1997 (required).
Pedro Domingos, The Master Algorithm, Basic Books, 2015 (recommended).

Assignments

There will be four assignments handed out on weeks 2, 4, 6, and 8; they are due two weeks later. Each assignment is worth 25% of the final grade. Submit online here.

Assignment 1: Clickstream Mining with Decision Trees, Rule Induction. Due April 24, 2017 at 12:01am.
Assignment 2: Collaborative Filtering and Bayes Nets. Due May 7, 2017 at 6:30pm.
Assignment 3: Naive Bayes, Neural Nets, Ensemble Methods. Due May 22, 2017 at 12:01am.
Assignment 4: Learning Theory and SVMs. Due June 5, 2017 at 12:30am.

Course Administration and Policies

Subscribe to the course mailing list.
Discuss course material on the forum.
Assignments will be done individually unless otherwise specified. You may discuss the subject matter with other students in the class, but all final answers must be your own work. You are expected to maintain the utmost level of academic integrity in the course.
Assignments may be handed in up to a week late, at a penalty of 10% of the maximum grade per day.
Comments can be sent to the instructor or TAs using this anonymous feedback form.

Department of Computer Science & Engineering
University of Washington
Box 352350
Seattle, WA 98195-2350
(206) 543-1695 voice, (206) 543-2969 FAX