Schedule of Spring 2024
[Week01, 2024/02/21]
[Week02, 2024/02/28]
[Week03, 2024/03/06]
[Week04, 2024/03/13]
[Week05, 2024/03/20]
[Week06, 2024/03/27]
Note that the schedule will be updated as we move on.
- 2024/02/21 (石百達 & 張智星)
- Course introduction
- Homework
- 2024/02/28
- 2024/03/06 (張智星)
- Pre-class reading
- AI 簡介:
- AI:道德與法律的難題:
- Intro to machine learning:
- Commonly used datasets for ML:
- Supplementary material
- SOP in ML:
- Data visualization in EDA for ML:
- 2024/03/13 (張智星)
- Pre-class reading:
- Basic math(這些基本數學對於修過機率統計的同學,應該相對容易)
- Jensen's inequality (which leads to AM-GM inequality):
- Maximum likelihood estimate (MLE):
- Basic models for classification
- K-nearest-neightbor classifiers:
- Naive Bayes classifiers:
- Quadratic classifiers:
- Optional material
- Linear classifier:
- Ridge regression:
- Lasso regression:
- Supplementary material
- 2024/03/20 (張智星)
- Pre-class reading:
- Performance issues
- Performance indices for classification:
- Performance evaluation:
- Feature selection:
- Unsupervised learning
- Supplementary material
- Distance function:
- Performance indices for sequence decoding:
- 2024/03/27 (張智星)
- Pre-class reading:
- Machine learning
- Missing data imputation:
- Gradient descent:
(62 min, 2021)
- AI 如何用於金融機構
- 金融擁抱AI的機會與挑戰: (62 min, 2021)
- AI專案的美麗與哀愁: (26 min, 2021)
- 從辨識到維運 ─ AI專案落地的下一步:(31 min, 2022)
- Supplementary material