머신 러닝 2

Machine Learning 2 · Prof. Giseop Noh

PCA | SVM | Ensemble Learning | Data Augmentation | Shap Value | DNN | CNN

Lecture plan (click me)

주차별 자료

1. 01 Orientation and Introduction to Machine Learning PDF
2. 02 PCA and SVD PDF
3. 03 SVM, Regression, Review, Linear SVM, Margin PDF
4. 04 SVM Slack Variable, Duality, Kernel, Code Exercise MD
5. 05 Ensemble, Bagging, RandomForest, Code Exercise MD
6. 06 Boosting, Stacking, Code Exercise MD
7. 07 Performance Metrics and Shap Values MD
8. 08 Mid-term Exam PDF
9. 09 Imbalanced Data & SMOTE MD
10. 10 Dev Env Setup & Neural Networks MD

전체 강좌 목록으로 이동