Weeks |
Meetings |
Topic |
Readings & Handouts |
1. |
Jan 26 |
Class Administration |
|
Jan 28 |
Introduction to Machine Learning |
|
2. |
Feb 2 |
Linear Regression |
|
Feb 4 |
|
|
3. |
Feb 9 |
Logistic Regression |
|
Feb 11 |
|
|
4. |
Feb 16 |
Regularization |
|
Feb 18 |
|
|
5. |
Feb 23 |
Neural Networks: Representation |
|
Feb 25 |
|
|
6. |
Mar 1 |
Neural Networks: Learning |
|
Mar 3 |
|
|
7. |
Mar 8 |
Advice for Applying Machine Learning Exam I Review |
|
Mar 10 |
Exam I |
|
8. |
Mar 15 |
Spring Vacation (no class) |
|
Mar 17 |
Spring Vacation (no class) |
|
9. |
Mar 22 |
Term Project Kickoff Meeting |
|
Mar 24 |
|
|
10. |
Mar 29 |
Support Vector Machines |
|
March 31 |
|
|
11. |
Apr 5 |
Unsupervised Learning |
|
Apr 7 |
|
|
12. |
Apr 12 |
NMF |
|
Apr 14 |
|
|
13. |
Apr 19 |
Project Progress Report |
|
Apr 21 |
|
|
14. |
Apr 26 |
|
|
Apr 28 |
|
|
15. |
May 3 |
|
|
May 5 |
Learning from Imbalanced Data |
|
16. |
May 10 |
Exam II Review |
|
May 12 |
Exam II |
|
17. |
May 19 (3:00 PM - 6PM) |
Term Project Presentation
|
|
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