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 party.

Date

Topic

Reading

Out

In

Jan 11 Introduction and Overview Chapter 1 7641 Group Project
Jan 13 Supervised Learning Review:
Neural Networks & Decision Trees
Chapters 3 & 4
Jan 18 Instance Based Learning Chapter 8 Assignment 1
Jan 20 Support Vector Machines handouts Team Formation
Jan 25 Support Vector Machines
Boosting
handouts
Jan 27 Bayesian Learning Chapter 6 Informal Proposal
Feb 1 Bayesian Learning
Feb 3 Bayesian Learning
Feb 8 Computational Learning Theory Chapter 7
Feb 10 Computational Learning Theory Formal Proposal
Keywords
Assignment 1 (2/11)
Feb 15 Addressing Overfitting
Information Theory
Chapter 5
handouts
Feb 17 Randomized Optimization Chapter 9 Assignment 2
Feb 22 Randomized Optimization handouts
Feb 24 Overflow Suggestions re: Formal Proposals (2/27)
March 1
Midterm Exam
March 3
Drop Day is 3/4
Exam Review
March 8 Clustering handouts
March 10 Clustering
Expectation Maximization
Chapter 6 (again)
handouts
Assignment 3 Assignment 2 (3/11)
March 15 Feature Selection handouts
March 17 Feature Transformation
March 22
March 24
Spring Break
March 29 Feature Transformation
March 31 Markov Decision Processes Progress Report
April 5 Reinforcement Learning Chapter 13 Assignment 4
April 7 Reinforcement Learning Submitted Papers,
Assignment 3 (4/9)
April 12 Reinforcement Learning
April 14 Game Theory handouts Review of Final Papers
April 19 Game Theory handouts
April 21 Overflow Final Project Material (4/22)
April 26
April 28
Final Presentations
Review of Final Presentations (4/28)
Assignment 4
May 2
Final Exam
11:30-2:20