Schedule, Machine Learning, Spring 2005

Lecture Schedule :

Sl	Date	Topic	Reference	Reading	Assignment
1-2	4/1/2005	Introduction (ppt)		Alpaydin - Chapter 1
3	5/1/2005	Supervised Learning Introduction to Matlab	Regression notes from http://www.cs.mcgill.ca/ ~dprecup/courses/ML/lectures.html Classification Framework from http://www.cs.ualberta.ca/~greiner /C-466/SLIDES/syllabus.html Beginner's guide to MATLAB	Alpaydin - Chapter 2 MATLAB tutorial
4	9/1/2005	Supervised Learning	Slides Regression & Classification		Assignment 1 Get familiar with Matlab
5	16/1/2005	Review of basic probability			HW1 due
6	18/1/2005	Bayesian Decision Theory		Alpaydin - Chapter 3	Mail hw1 to mliitkgp@gmail.com with the two matlab files as attachment. regress.m and classif.m
7	19/1/2006	Decision trees
8	25/1/2006	Bayesian networks Decision tree pruning
9	30/1/2006	Ripper rule learning Maximum likelihood estimation
10	1/2/2006	Bias Variance Feature selection
12	2/2/06	Neural network
13	6/2/06	Instance based learning	Andrew Moore's tutorial Slides from Chap 8, Mitchell's book Instance based learning
14	13/2/06	Neural Network	Slides	Alpaydin-Chapter 11
15	27/2/06		Principal Component Analysis Linear Discriminant Analysis Feature selection - 1 Feature selection - 2	Alpaydin - Chapter 6	PCA tutorial
16	1/3/06
17	2/3/06	Unsupervised learning	Unsupervised learning - clustering Statistical clustering
18	6/3/06	EM	Expectation Maximization Mixture models and EM
19	8/3/06	Hidden Markov Model	Hidden Markov Models - Moore Hidden Markov Models- 1 (Kanungo) Hidden Markov Models- 2 (Kanungo)
20	9/3/06
21	13/3/06
22	16/3/06	Maximum Entropy	Max Ent - J. Eisner	Maximum Entropy Tutorial
23	20/3/06	Maximum Entropy	Max Ent - J. Eisner	Maximum Entropy Tutorial
24	22/3/06	Support Vector Machine	Support Vector Machines- Moore support vector and kernel machines
25	23/3/06	Support Vector Machine
26	27/3/06	Text clustering, Text classification	Text Clustering Text Calegorization
27	29/3/06
28	30/3/06
29	3/4/06	Semi-supervised learning	Semi-supervised learning
30	4/4/06	Project discussion
31	6/4/06	Co-training Bagging Boosting	combining multiple classifiers	Alpaydin - Chapter 15