Topic |
Session 1 | Python review |
Session 2 | Numpy, pandas, matplotlib |
Session 3 | Regression |
Session 4 | Classification basics 1 |
Session 5 | Classification basics 2 |
Session 6 | Clustering |
Sesson 7 | Ensemble learning |
Session 8 | Kernel method |
Session 9 | Bayesian inference |
Session 10 | Image classification 1 |
Session 11 | Image classification 2 |
Session 12 | Language processing |
session 13 | Comprehensive exercise (competition task) 1 |
Session 14 | Comprehensive exercise (competition task) 2 |
**This content is based on April 1, 2024. For the latest syllabus information and details, please check the