To equip the students with the knowledge and techniques of data science and basic of artificial intelligence to handle real world problems and their research.to equip the students with knowledge and techniques of data science and BASIC of artificial intelligence to tackle real world problems and their research.
1. Raschka, S., Liu, Y. H., Mirjalili, V., & Dzhulgakov, D. (2022). Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python. Packt Publishing Ltd.
2. 製造數據科學：邁向智慧製造與數位決策. (2023). 李家岩、洪佑鑫, 前程文化.
3. Self-designed Handouts
1. Raschka, S., Liu, Y. H., Mirjalili, V., & Dzhulgakov, D. (2022). Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python. Packt Publishing Ltd.
2. Manufacturing data science: Towards smart manufacturing and digital decision-making. (2023). Li Jiayan, Hong Youxin, Qiancheng Culture.
3. Self-designed Handouts
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| Midterm ProjectMidterm Project midterm project |
20 | |
| Final ProjectFinal Project final project |
20 | |
| AssignmentAssignment assignment |
20 | |
| Participation Participation participation |
20 | |
| Kaggle competitionKaggle competition KA GG competition |
20 |
