Announcements and New on the page: (Page updated: Tuesday, 06-Mar-2007 13:47:18 PST )

Project oral progress reports Tuesday Feb. 27th (see "homeworks" below)

Midterm date: Thursday March 1.

Index of class specific resources

Handouts — homework problem sets, homework solutions, other helpful handouts
General Class Information — class and section times, instructor and TA information

Handouts

• Course Syllabus (.pdf)
• Back Propagation handout (.pdf)
• Sample Exam (.pdf)
• Midterm Topics (MS word) (plain text)
• Project Handout

Homeworks

• Reading Assignments (.txt) last change: Thursday, 08-Mar-2007 11:38:58 PST
• written homework 1 with solutions
• written homework 2 due Tuesday Jan 30.
• 1 page project proposals due Friday Jan 2. See the end of Project Handout for details.
• written homework 3 due Thursday Feb. 8.
• spambase dataset from UCI ML repository (for HW 3)
• written homework 4 with solutions.
• Each student will give an oral project progress report in class Tuesday Feb. 27. Please have a 5 minute presentation planned covering your topic, the particular learning problem, the learning methods you plan to use, and the data you will learn from. Each presentation will be followed by a class discussion/brainstorming session. <\li>

Reading Assignments

See Reading Assignments (.txt) Changed: Thursday, 08-Mar-2007 11:38:58 PST

Assigned papers:
• Mitchell's "The Discipline of Machine Learning"
• An Introduction to Variable and Feature Selection by Guyon and Elisseeff. (sects 1-3)
• Schapire's boosting survey.

Lecture slides

• slides

Additional Readings

• See CMPS 242 web page, Fall 2006

General Class Information

Class Newsgroup:

(none at this time)

Lecture times:

TuTh 2:00-3:45 in Baskin Engineering room 156

Instructor:

Name: David Helmbold (dph@cse.ucsc.edu)

Phone: 459-2016

Office: E2 room 345b

Instructor Office Hours:

Tuesdays 4-5