CS 698 - Spring 2011 - Machine Learning

• March 29, Project data and sample solution file have been posted in the project webpage.
• Feb 28: Homework 2 due on March 1, 2011.
• Feb. 7: Due date of Homework 1 is extended to Feb 15, 2011
• Jan 26: Homework 1 is posted in moodle and due on Feb 8, 2011.
• Jan 17: First class: Jan 18, 2010 @ 6pm in FHM 308

Project

Syllabus

Tentative Weekly schedule*, Please download slides & Homework from Moodle.

Date	Topic	Readings+	Assignments	Comments
1/18/11	Class overview + Introduction	Ch1, 2.1
1/25/11	Linear Regression	S3.1,3.2, 7	HW1	HW1 Data
2/1/11	Logistic Regression & LDA	S4.3, 4.4
2/8/11	SVM	Ch13, S12
2/15/11	Neural networks	Ch11, S11	HW2	HW1 Due
2/22/11	Decision Tree	Ch9
3/1/10	K Nearest Neighbours (KNN)	S13		HW2 Due
3/8/11	Midterm
3/15/11	No Class: Spring break
3/22/11	Bayesian Learning	Ch3	HW3
3/29/11	Model Selection	S3.3,3.4		Extra Readings: Intro to Var Selection Penalized Var Selection Var Selection Review S18: when p>>N
4/5/11	Boosting, Radom forest	S10, 15
4/12/11	Dimension Reduction	Ch6	HW4
4/19/11	Graphical Models	Ch15
4/26/11	Unsupervised learning	Ch7, S14
5/3/11	No Class: following a Fri. Schedule			Project Due
5/9/11	Final Project & Report			Project Evaluation

1. Introduction to Machine Learning (2nd Edition), 2010.
2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd Edition),2009.

⁺Ch denotes book 1; S denotes book 2.

*This schedule is subject to change at the discretion of the instructor or in the event of extenuating circumstances.
Students will be notified in class of any changes to the syllabus.