Lectures: tentative agenda

Date	Lecture	Notes etc
Wed 9/3	Lecture 1: Linear classification, perceptron	slides, notes
Mon 9/8	Lecture 2: Convergence of the perceptron, support vector machines	slides, notes part 1, notes part 2
Wed 9/10	Lecture 3: Kernel methods	slides, SVM applet
Mon 9/15	Lecture 4: Kernel methods (continued), support vector machines	slides, notes on kernels, notes on svms
Wed 9/17	Lecture 5: Support vector machines (continued), kernel methods for regression	slides, notes on regression
Mon 9/22	Student holiday, no classes
Wed 9/24	Lecture 6: Multi-class classification	notes
Mon 9/29	Lecture 7: 1-class (anomaly detection), rating and collaborative filtering	notes, tutorial on Lagrange multipliers
Wed 10/1	Lecture 8: Rating (cont'd), model selection, generalization	notes
Mon 10/6	Lecture 9: Generalization, VC-dimension	notes
Wed 10/8	Lecture 10: Model selection (cont'd), ensembles, boosting
Mon 10/13	Columbus day holiday
Wed 10/15	MIDTERM: in-class, open book
Mon 10/20	Lecture 11: Boosting, feature selection
Wed 10/22	Lecture 12:
Mon 10/27	Lecture 13:
Wed 10/29	Lecture 14:
Mon 11/3	Lecture 15:
Wed 11/5	Lecture 16:
Mon 11/10	Veteran's day holiday
Wed 11/12	Lecture 17:
Mon 11/17	Lecture 18:
Wed 11/19	Lecture 19:
Mon 11/24	Lecture 20:
Wed 11/26	Lecture 21:
Mon 12/1	Lecture 22:
Wed 12/3	Lecture 23:
Mon 12/8	FINAL: in-class, open book
Wed 12/10	Lecture 24: