| 1주차 |
Matrix, Linear Regression |
| 2주차 |
Logistic Regression |
| 3주차 |
Neural Networks: Deep Multilayer Perceptrons |
| 4주차 |
Neural Networks: Recurrent Neural Networks |
| 5주차 |
Neural Networks: Convolutional Neural Networks |
| 6주차 |
Neural Networks: Convolutional Neural Networks |
| 7주차 |
Neural Networks 실습 |
| 8주차 |
Neural Networks 실습, 중간시험 |
| 9주차 |
Singular Value Decomposition, Eigenvalue Value Decomposition, QR |
| 10주차 |
Principal Component Analysis |
| 11주차 |
Support Vector Machines |
| 12주차 |
Classification and regression Tree |
| 13주차 |
Linear Discriminant Analysis, Naive Bayes Classifier, Nearest Neighbors |
| 14주차 |
Kernel Methods |
| 15주차 |
복습및 학기말 |
| 16주차 |
|