Weeks |
Meetings |
Topic |
Readings & Handouts |
1. |
Jan 27 |
Campus Closed (snow day) |
|
Jan 29 |
Course Administration |
|
2. |
Feb 3 |
Introduction to Machine Learning |
|
Feb 5 |
|
|
3. |
Feb 10 |
Linear Regression |
|
Feb 12 |
|
|
4. |
Feb 17 |
Introduction to Pattern Recorgnition |
|
Feb 19 |
|
|
5. |
Feb 24 |
(homework) Unsupervised Learning |
|
Feb 26 |
|
|
6. |
Mar 3 |
|
|
Mar 5 |
Theano: GPU Computing and Automatic Differentation for Python (Invited Speaker: Henry Lo) |
|
7. |
Mar 10 |
Midterm Exam Review |
|
Mar 12 |
Midterm Examination |
|
8. |
Mar 17 |
Spring Vacation (no class) |
|
Mar 19 |
Spring Vacation (no class) |
|
9. |
Mar 24 |
Logistic Regression and ANN |
|
Mar 26 |
|
|
10. |
Mar 31 |
|
|
Apr 2 |
|
|
11. |
Apr 7 |
|
|
Apr 9 |
|
|
12. |
Apr 14 |
|
|
Apr 16 |
Challenges in Applied Machine Learning (Invited Speaker: Yang Mu) |
|
13. |
Apr 21 |
Practical Advice for Applying Learning Algorithms (Invited Speaker: Dawei Wang) |
|
Apr 23 |
|
|
14. |
Apr 28 |
|
|
Apr 30 |
Deep Learning |
|
15. |
May 5 |
|
|
May 7 |
|
|
16. |
May 12 |
Advice for Applying Machine Learning
Final Exam Review |
|
May 14 |
Final Examination |
|
17. |
May 21 (3:00 PM -6:00 PM; Science S02-0064) |
Term Project Team Presentation (Classroom: Science S02-0064;
Class Time: 3:00PM-6:00PM) |
|
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