Calendar of Topics (Tentative)
University Schedule
important dates of this course

To be updated

All assignments (homework) can be downloaded at Assignments section Meeting Time: MWF 11:15PM-12:05PM
Calendar of Topics (Tentative)
The following topics are being constantly updated.........

WeekTopics
Week 1 1/11Introduction
1/15Formulation of Machine Learning problem
Week 2 1/20Supervised Learning
 Assignment 1 (Due Feb 1, 2010)
1/22Supervised Learning, VC dimension
Week 3 1/25Bayesian Decision Theory
1/27Naive Bayesian Classifier
1/29Parametric Methods
Week 4 2/01Semi-parametric algo
2/3K-means clustering
2/5EM algorithm 1 (ch7)
Week 5 2/8EM algorithm2 (ch7)Lec5.ppt Δ
 Assignment 2 (Due Feb 19, 2010)
2/10Nonparametric model 1 (Ch8)
2/12Nonparametric model 2 (Ch8)
Week 6 2/15Clustering (Ch7)
2/17Decision Tree 1 (Ch9)
2/19Decision Tree 2 (Ch9)
 Assignment 3 (Due March 7, 2010)
Week 7 2/22Linear Discrimination 1(Ch10)
2/24Linear Discrimination 2(Ch10)
2/26Linear Discrimination 3(Ch10)
Week 8 3/01ANN:Multilayer Perceptron 1
3/03ANN:Multilayer Perceptron 2
3/05Genetic Algorithms for optimization
Week 9 3/8Spring Break
3/10Spring Break
3/12Spring Break
Week 10 3/15Midterm Exam
3/17Genetic programming
 Assignment 4 (Due --)
3/19Kernel Machines (SVM) 1 (Ch13)
Week 11 3/22Kernel Machines (SVM) 2 (Ch13)
3/24Design and analysis of ML experiments 1
3/26Design and analysis of ML experiments 1
Week 12 3/29Hidden Markov Model 1
3/31Hidden Markov Model 2
 Assignment 5 (Due --)
4/2Ensemble Learning Algorithms 1
Week 13 4/5Ensemble Learning Algorithms 2
4/7Reinforcement Learning 1
4/9Reinforcement Learning 2
Week 14 4/12Reinforcement Learning 3
4/14Graphical Models 1
4/16Graphical Models 2
Week 15 4/19Dimension Reduction
4/21Project Presentation 1
4/23Project Presentation 2
Week 16 4/26Final Class
5/4Final Project Due