Calendar 2012/13

	Date	Topic	Lecture/Lab	What Not To Miss
1.	Oct 5	Introduction	pdf 1, pdf 2/pdf
2.	Oct 12	Decision trees	pdf / pdf
3.	Oct 19	Hypothesis testing	data
4.	Oct 26	Linear regression; instance-based learning	pdf /lab, data
5.	Nov 2	Logistic regression	pdf / R
6.	Nov 9	PAC learning	pdf / pdf, verb patterns data
7.	Nov 16	Experiment evaluation	Test	Lecture moved to S5. TEST will take only 30 minutes and will focus on basics of probability and statistics including testing statistical hypothesis using t-distribution.
8.	Nov 23	Naive Bayes algorithm & Bayesian networks	pdf
9.	Nov 30	Support Vector Machines	pdf / pdf	Final Project Assignment
10.	Dec 7	Bagging and boosting	pdf / R
11.	Dec 14	Model Assessment	pdf / R
12.	Dec 21	Principal Component Analysis	pdf / short presentations	Short presentations - deadline for submission Dec 19, 12pm (see pdf for your method and words.)
13.	Jan 4	Clustering	pdf / pdf, R
14.	Jan 11		/ lab
	Jan 31, 9am	Exam	Exam questions
	Feb 22, 12pm	Final project submission