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 T and knowledge and techniques of data science and BASIC of artistic intelligence to handle 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: Mi’s move towards smart manufacturing and digital decisions. (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 |
