Winter Quarter 2010
EECS 395/495 - Special Topics in Machine Learning
Course Schedule (Subject to Change)
Week
Day
Date
Topic
Reading
Assigned
Due
Points
1
Tue
Jan-05-10
Introduction
1
Thu
Jan-07-10
Basics
Chapter 2
HW 1
,
4(e) solution
Jan-15-10
20
2
Tue
Jan-12-10
Statistical Estimation
,
Machine Learning/Project
Chapter 17 (17.1)
2
Thu
Jan-14-10
Bayesian Networks
,
Naive Bayes Classifiers
Chapter 3
3
Tue
Jan-19-10
Bayesian Networks (cont.)
HW2
Jan-27-10
15
3
Thu
Jan-21-10
Markov Networks
Chapter 4
4
Tue
Jan-26-10
Variable Elimination and Junction Tree
Chapter 9, 10
4
Thu
Jan-28-10
Metrics
5
Tue
Feb-02-10
Sampling
Chapter 12
HW3
Feb-15-10
10
5
Thu
Feb-04-10
6
Tue
Feb-09-10
6
Thu
Feb-11-10
Learning
Chapters 17, 20
7
Tue
Feb-16-10
EM
Chapter 19.1
7
Thu
Feb-18-10
EM and Semi
Chapter 19.2
HW4
Mar-01-10
15
8
Tue
Feb-23-10
HMM
Chapter 6
8
Thu
Feb-25-10
HW5
, part 1
Mar-09-10
5
9
Tue
Mar-02-10
Structure Learning
Chapter 18
HW5
, part 2
Mar-19-10
15
9
Thu
Mar-04-10
Final Exam
25
10
Tue
Mar-09-10
Project Presentations
10
Thu
Mar-11-10
Active learning