Machine Learning (CptS 570) Fall 2012
Section 01, MWF 9.10-10.00am, Sloan 32
School of Electrical Engineering and Computer Science
Washington State University
Description: A detailed investigation of current machine learning theory and methodologies. Introduces the background and basics of machine learning, including representation, inductive bias and performance evaluation. Analyzes and compares machine learning methdologies. Hands on expeirence on some of the basic machine learning aglorithms will be gained through implementing them in R.
Prerequisites: Data Structures (CptS 122), Artificial Intelligence.
Textbook: Ethem Alpaydin, Introduction to Machine Learning, Second Edition, MIT Press, 2010.
Grading: Top Five out of Six Homeworks (60%), Project (20%), Presentation (10%), Critiques and Class Participation (10%)
Course Details: PDF
Instructor: Narayanan C Krishnan (CK)
Office Hours: MWF 10-11am or by appointment.
Office: EME 123
Phone: 509 335 4287
Email: ckn@eecs.wsu.edu
Grades: PDF
Course Schedule, Lectures and Homeworks
Week |
Date |
Topic | Readings | Due |
|---|---|---|---|---|
20-Aug |
Introduction | Chapter 1 | ||
22-Aug |
Introduction | Chapter 1 PDF | HW1 | |
1 |
24-Aug |
Supervised Learning | Chapter 2 PDF | |
27-Aug |
Supervised Learning | Chapter 2 | ||
29-Aug |
Supervised Learning/Bayesian Learning | Chapter 2 and 3 PDF | ||
2 |
31-Aug |
Bayesian Learning/Parameteric Methods | Chapter 3 and 4 | |
3-Sep |
Labor Day Holiday | |||
5-Sep |
Parametric Methods | Chapter 4 PDF | ||
3 |
7-Sep |
Non-Parameteric Methods | Chapter 8 PDF | HW1 |
10-Sep |
Non-Parameteric Methods | Chapter 8 | HW2 DATA | |
12-Sep |
Decision Trees | Chapter 9 PDF | ||
4 |
14-Sep |
Decision Trees | Chapter 9 | |
17-Sep |
Decision Trees | Chapter 9 | ||
19-Sep |
Linear Discrimination | Chapter 10 PDF | ||
5 |
21-Sep |
Linear Discrimination | Chapter 10 | HW3 |
24-Sep |
Linear Discrimination | Chapter 10 | HW2 | |
26-Sep |
Neural Networks | Chapter 11 PDF | ||
6 |
28-Sep |
Neural Networks | Chapter 11 | |
1-Oct |
Neural Networks | Chapter 11 | ||
3-Oct |
Neural Networks | Chapter 11 | ||
7 |
5-Oct |
Kernel Machines | Chapter 13 PDF | HW4 DATA TESTDATA |
8-Oct |
Kernel Machines | Chapter 13 | HW3 | |
10-Oct |
Kernel Machines | Chapter 13 | ||
8 |
12-Oct |
Kernel Machines | Chapter 13 | |
15-Oct |
Ensembles | Chapter 17 PDF | ||
17-Oct |
Ensembles | Chapter 17 | Project Team Registration | |
9 |
19-Oct |
Evaluation | Chapter 19 PDF | |
22-Oct |
Evaluation | Chapter 19 | ||
24-Oct |
Evaluation | Chapter 19 | HW5 DATA | |
10 |
26-Oct |
Evaluation | Chapter 19 | |
29-Oct |
Dimensionailty Reduction | Chapter 6 PDF | ||
31-Oct |
Dimensionailty Reduction | Chapter 6 | ||
11 |
2-Nov |
No Class | HW4 | |
5-Nov |
Project Discussion/Dimensionality Reduction | Chapter 6 | Project Description Data | |
7-Nov |
Dimensionality Reduction | Chapter 6 PDF | ||
12 |
9-Nov |
Clustering | Chapter 7 PDF | Questions for HW6 |
12-Nov |
Veterans Day Holiday | |||
14-Nov |
Clustering | Chapter 7 | ||
13 |
16-Nov |
Clustering | Chapter 7 | HW5/Selection of Papers for Presentation |
19-Nov |
Thanks Giving Holiday | HW6 Problems | ||
21-Nov |
Thanks Giving Holiday | |||
14 |
23-Nov |
Thanks Giving Holiday | ||
26-Nov |
Project Update Summary | Project Update | ||
28-Nov |
No Class | |||
15 |
30-Nov |
Student Presentation 1 | Jason Fairey /Jennifer Williams | HW6/Critiques |
3-Dec |
Student Presentation 2 | Yibo Yao / Artur Cook | Critiques | |
5-Dec |
Student Presentation 3 | Shervin Hajiamani / Xiyu Xie | Critiques | |
16 |
7-Dec |
Student Presentation 4 | Dmitry Dementyev / Howard Lu | Critiques |
10-Dec |
Student Presentation 5 | Brett Johnson / Thomas Corll | Critiques | |
10-Dec |
Student Presentation 6 | Chris Cain / Ngan Dong | Critiques | |
17 |
12-14-Dec |
No Class | Project Report |
Resources
Machine Learning
- Weka Machine Learning Software
- Machine Learning Open Source Software
- UCI Machine Learning Dataset Repository
- Analytics and Data Mining Resources
Help on R