Class |
Date |
Day |
Topic |
1 |
8/28 |
Thu |
Statistics, Machine Learning,
and Data Mining |
2 |
9/02 |
Tue |
Decision Trees: Recursive Partitioning,
Splitting Rule |
3 |
9/04 |
Thu |
Decision Trees: Efficiency, Pruning,
Converting Trees to Rules |
4 |
9/09 |
Tue |
Train/Test Set Splits |
5 |
9/11 |
Thu |
Artificial Neural Nets: Backpropagation |
6 |
9/16 |
Tue |
Artificial Neural Nets: Overfitting
(Weight Decay, Early Stopping, and Network Size) |
7 |
9/18 |
Thu |
Artificial Neural Nets: Multitask
Learning |
8 |
9/23 |
Tue |
Cross Validation |
9 |
9/25 |
Thu |
Feature Selection |
10 |
9/30 |
Tue |
Data Preprocessing: Attribute
Transformation & Missing Values |
11 |
10/02 |
Thu |
K-Nearest Neighbor |
12 |
10/07 |
Tue |
Boosting & Bagging |
13 |
10/09 |
Thu |
Boosting & Bagging |
--- |
10/14 |
Tue |
No Class -- Fall Break |
14 |
10/16 |
Thu |
Data Mining of Association Rules |
15 |
10/21 |
Tue |
|
16 |
10/23 |
Thu |
|
17 |
10/28 |
Tue |
|
18 |
10/30 |
Thu |
|
19 |
11/04 |
Tue |
|
20 |
11/06 |
Thu |
Agglomerative Clustering |
21 |
11/11 |
Tue |
K-Means Clustering & EM (Expectation
Maximization) |
22 |
11/13 |
Thu |
Scaling Clustering to Large Data
Sets |
23 |
11/18 |
Tue |
Fractal Dimension |
24 |
11/20 |
Thu |
Multi-dimensional Scaling |
25 |
11/25 |
Tue |
|
--- |
11/27 |
Thu |
No Class -- Thanksgiving |
26 |
12/02 |
Tue |
Case Study: Pneumonia Risk Prediction
(Prospective Analysis) |
27 |
12/04 |
Thu |
Case Study: Protein Folding (Clustering,
Visualization, & Discovery) |
--- |
12/18 |
Thu |
Final Exam
(open book) Place: TBA |