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

Statement: The topics on the calendar are subject to minor change and may not be exactly followed.
All assignments (homework) can be downloaded at Assignments section

Meeting Time: TTH 1:15PM-2:30PM
Calendar of Topics (Tentative)

Week 1 8/23Introduction to Machine Learning problems
Week 2 8/28Introduction to Supervised Learning
8/30Supervised Learning, KNN
 Assignment 1 (Due Sept 15, 2018)
Week 3 
9/4Naive Bayesian Classifier
9/6Parametric Methods
Week 4 
9/11clustering -K-means, Hierarhical, EM algorithm
9/13Nonparametric model (Ch8)
 Assignment 2 (Due Sept 30, 2018)
Week 5 
9/27Linear Discrimination 1(Ch10)
10/2ANN:Multilayer Perceptron 1
Week 6 
 Deep Learning1
 Deep Learning2
 Assignment 3 (Due Oct 15, 2018)
Week 7 
 Deep Learning3
 Oct. 18 19, Thursday - Friday
Week 8 
 Decision Trees & RandomForest
 Local Models
Week 9 
 Assignment 4 (Due Oct 30)
 Genetic Algorithms for optimization
 Genetic programming
Week 10 
 Midterm Exam
 Kernel Machines (SVM) 1 (Ch13)
Week 11 
 Kernel Machines (SVM) 2 (Ch13)
 Ensemble Learning Algorithms1
Week 12 
 Ensemble Learning Algorithms2
 Assignment 5 (Due Nov 30)
 Reinforcement Learning 1
Week 13 
 Reinforcement Learning 2
 Dimension Reduction
Week 14Final Class
12/13 12:30pmFinal Project Presentation Due

Project presentation day: Dec. 13, Thursday - 12:30 p.m.

    Spring Calendar