Week |
Topics |
Slides |
Week 1
(9/1, 9/3) |
- What's Machine Learning and Why?
- Classification theory
|
Intro. to ML
Lec. 1 ML Overview
Pictures of Blackboard (9/3)
01
02
|
|
Week 2
(9/8, 9/10) |
- Classification 1
- Classification 2
|
Pictures of Blackboard (9/7)
03
04
05
06
07
08
09
|
Week 3
(9/15, 9/17) |
- Classification 3
- Classification 4
|
Pictures of Blackboard (9/15)
10
11
|
Week 4
(9/22, 9/24) |
- Bayesian inference and information theory
- Kernel machine 1
|
Pictures of Blackboard (9/22)
12
13
14
15
16
17
Pictures of Blackboard (9/24)
18
19
|
Week 5
(10/1) |
|
|
Week 6
(10/6, 10/8) |
- Kernel machine 3
- Kernel machine 4
- Due of project 1 report (10/8)
|
Pictures of Blackboard (10/6)
20
21
Recitation (10/8)
MATLAB_Tutorial1
Problem
|
Week 7
(10/13, 10/15) |
- Clustering 1
- Clustering 2
|
Recitation (10/13)
MATLAB_Tutorial2
Problem
|
Week 8
(10/20, 10/22) |
- Clustering 3
- Clustering 4
|
Pictures of Blackboard (10/20)
22
23
Pictures of Blackboard (10/22)
24
25
|
Week 9
(10/27, 10/29) |
- Exam 1
- Graphical models 1
|
|
Week 10
(11/3, 11/5) |
- Graphical models 2
- Graphical models 3
|
Recitation (11/3)
Problem
Recitation (11/5)
Problem
|
Week 11
(11/10, 11/12) |
- Graphical models 4
- Preliminary posters (projects 1 + 2)
|
Pictures of Blackboard (11/9)
26
27
28
Pictures of Blackboard (11/12)
29
|
Week 12
(11/17, 11/19) |
- Poster presentation (projects 1 + 2)
- Deep learning 1
|
Recitation (11/17)
Problem
Recitation (11/19)
Problem
|
Week 13
(11/24, 11/26) |
- Deep learning 2
- Deep learning 3
|
Pictures of Blackboard (11/23)
30
31
32
33
|
Week 14
(12/1) |
|
Lecture Notes (12/1)
DL
DHN
NGML
|
Week 15
(12/10) |
|
|
Week 16
(12/14) |
- Due of project 2 report (12/14)
|
|