|
Date
|
Topic
|
Due
|
| Aug 23 |
Introduction, ML review |
|
| Aug 25 |
ML review, Orange |
Selection of presentation topic and date |
| Aug 30 |
Association rule mining, Sequence mining |
|
| Sep 1 |
Dimensionality reduction |
|
| Sep 6 |
Dimensionality reduction |
HW #1 due |
| Sep 8 |
Feature selection |
|
| Sep 13 |
Experiment Design and Analysis |
|
| Sep 15 |
Experiment Design and Analysis |
Critique due |
| Sep 20 |
Student presentation / discussion |
Critique due |
| Sep 22 |
Student presentation / discussion |
|
| Sep 27 |
Neural networks |
|
| Sep 29 |
Neural networks |
|
| Oct 4 |
Probabilistic graphs |
HW #2 due |
| Oct 6 |
Probabilistic graphs |
Critique due |
| Oct 11 |
Student presentation / discussion |
Critique due |
| Oct 13 |
Student presentation / discussion |
Critique due |
| Oct 18 |
Student presentation / discussion |
|
| Oct 20 |
Clustering and SOMs |
|
| Oct 25 |
Evolutionary algorithms |
Critique due |
| Oct 27 |
Student presentation / discussion |
Project proposal due, Critique due
|
| Nov 1 |
Student presentation / discussion |
Critique due |
| Nov 3 |
Student presentation / discussion |
Critique due |
| Nov 8 |
Student presentation / discussion |
HW #3 due |
| Nov 10 |
Trend analysis and forecasting |
|
| Nov 15 |
Trend analysis and forecasting, RapidMiner |
Critique due |
| Nov 17 |
Student presentation / discussion |
Project summary due |
| Nov 22 |
Thanksgiving |
|
| Nov 24 |
Thanksgiving |
|
| Nov 29 |
Rare class learning, multiclass learning |
HW #4 due |
| Dec 1 |
Transfer learning |
Critique due |
| Dec 6 |
Student presentation / discussion |
|
| Dec 8 |
Project presentations |
|
| Dec 14 |
|
Project report due |
