This schedule is tentative and may change.
Date | Topic | Materials |
---|---|---|
August 19 | Course Introduction, Supervised Learning | |
August 21 | Supervised Learning | |
August 26 | Multi-class Classification | |
August 28 | Probability Theory Review, Linear Discriminant Analysis | |
September 2 | HOLIDAY: Labor Day |
|
September 4 | Naive Bayes Classifier, Kernels | |
September 9 | Support Vector Machine | |
September 11 | Support Vector Machine, Perceptron | |
September 16 | Artificial Neural Networks and Bias-Variance Tradeoff | |
September 18 | Decision Trees |