|
|
DR. MUGIZI ROBERT RWEBANGIRA -INSTRUCTOR |
|
|
|
|
|
Ayo
|
Chris
|
Damina
|
Rotimi
|
|
Date |
Day |
Lec # |
Topic |
Materials |
|
1/11 |
M |
1 |
What is learning?
What is MACHINE learning? Examples |
|
|
1/13 |
W |
2 |
Decision Trees
(introduction) |
Decision Trees Slides,
Decision Trees Wikipedia,
hw0, hw0sol |
|
1/15 |
F |
3 |
Decision Trees
(entropy, information gain) |
|
|
1/18 |
M |
MLK DAY |
||
|
1/20 |
W |
4 |
Decision Trees(ID3) |
|
|
1/22 |
F |
5 |
TEST 1 |
|
|
1/25 |
M |
6 |
Test Review. Decision Trees (ID3). Overfitting. What data is good for decision trees? |
|
|
1/27 |
W |
7 |
Conditional Probability |
|
|
1/29 |
F |
8 |
Bayes Rule.
Generalization. Induction. Training, Test & Validation Set. Overfitting |
|
|
2/1 |
M |
9 |
Bayesian
Classification |
|
|
2/3 |
W |
10 |
Naïve Bayes Classifier |
|
|
2/5 |
F |
11 |
!!!CLASS CANCELLED DUE TO
SNOWSTORM!!! |
|
|
2/8 |
M |
12 |
!!!CLASS CANCELLED DUE TO SNOWSTORM!!! |
|
|
2/10 |
W |
13 |
!!!CLASS CANCELLED DUE TO
SNOWSTORM!!! |
|
|
2/12 |
F |
14 |
TEST 2 |
|
|
2/15 |
M |
PRESIDENT’S DAY |
||
|
2/17 |
W |
15 |
Test Review, Spam Classifier |
|
|
2/19 |
F |
16 |
Linear Regression |
|
|
2/22 |
M |
17 |
Linear Regression |
|
|
2/24 |
W |
18 |
Linear Regression |
|
|
2/26 |
F |
19 |
Linear Regression |
|
|
3/1 |
M |
20 |
Linear Regression |
|
|
3/3 |
W |
21 |
Curve Fitting |
|
|
3/5 |
F |
22 |
MIDTERM |
|
|
3/8 |
M |
23 |
Review, Octave,
NSF Survey |
|
|
3/10 |
W |
24 |
CLASS CANCELLED |
|
|
3/12 |
F |
25 |
Octave Review |
|
|
3/15 |
M |
SPRING BREAK |
||
|
3/17 |
W |
SPRING BREAK |
|
|
|
3/19 |
F |
SPRING BREAK |
||
|
3/22 |
M |
26 |
CLASS CANCELLED |
|
|
3/24 |
W |
27 |
CLASS CANCELLED |
|
|
3/26 |
F |
28 |
CLASS CANCELLED |
|
|
3/29 |
M |
29 |
TEST 3 |
|
|
3/31 |
W |
30 |
k-NN |
|
|
4/2 |
F |
31 |
k-NN |
|
|
4/5 |
M |
32 |
k-NN |
|
|
4/7 |
W |
33 |
k-NN |
|
|
4/9 |
F |
34 |
TEST 4 |
|
|
4/12 |
M |
35 |
Perceptron |
|
|
4/14 |
W |
36 |
Perceptron |
|
|
4/16 |
F |
37 |
Perceptron |
|
|
4/19 |
M |
38 |
REVIEW |
|
|
4/21 |
W |
39 |
FINAL |