CS 7641 & 4641
Machine Learning
Schedule

Remember: there is no excuse for ignorance of the assigned reading material. Visit this page frequently. Bring a friend. Start a grassroots political movement.

Date

Topic

Reading

Out

In

Jan 10 Introduction and Overview Chapter 1 7641 Group Project
Jan 12 Supervised Learning Review:
Neural Networks & Decision Trees
Chapters 3 & 4
Jan 17 Instance Based Learning Chapter 8 Assignment 1
Jan 19 Boosting
Support Vector Machines
handouts Team Formation
Jan 24 Support Vector Machines
Boosting
handouts
Jan 26 Bayesian Learning Chapter 6 Informal Proposal
Jan 31 Bayesian Learning
Feb 2 Bayesian Learning
Feb 7 Computational Learning Theory Chapter 7
Feb 9 Computational Learning Theory Formal Proposal
Keywords
Assignment 1 (2/10)
Feb 14 Addressing Overfitting
Information Theory
Chapter 5
handouts
Feb 16 Randomized Optimization Chapter 9 Assignment 2
Feb 21 Randomized Optimization handouts
Feb 23 Overflow Suggestions re: Formal Proposals (2/26)
Feb 28
Midterm Exam
March 2
Drop Day is 3/3
Exam Review
March 7 Clustering handouts
March 9 Clustering
Expectation Maximization
Chapter 6 (again)
handouts
Assignment 3 Assignment 2 (3/10)
March 14 Feature Selection handouts
March 16 Feature Transformation
March 21
March 23
Spring Break
March 28 Markov Decision Processes
March 30 POMDPs/Reinforcement Learning Chapter 13 Progress Report
April 4 Reinforcement Learning Assignment 4
April 6 Reinforcement Learning Submitted Papers (4/7),
Assignment 3 (4/9)
April 11 Game Theory handouts
April 13 Game Theory Review of Final Papers
April 18 Game Theory
April 20 Overflow Final Project Material (4/22)
April 25
April 27
Final Presentations
Review of Final Presentations (4/28)
Assignment 4
May 1-5
Final Exam