This is a comprehensive course that aims to build a solid foundation in machine learning for TAISP students. It emphasizes strong mathematical rigor in both the theory and applications of machine learning. Students will have the opportunity to study all the fundamental topics, as well as selected advanced areas. Importantly, the course places significant focus on developing essential knowledge, the underlying principles of machine learning, and the ways of thinking required in the fi eld, rather than concentrating solely on modern deep learning applications.
| Academic Units | 3 |
| Exam Schedule | Not Applicable |
| Grade Type | Letter Graded |
| Department Maintaining | CSC(CE) |
| Prerequisites |
| Index | Type | Group | Day | Time | Venue | Remark |
|---|---|---|---|---|---|---|
| 10199 | LEC/STUDIO | STA1 | THU | 1330-1520 | TAISPSPACE | |
| 10199 | TUT | STA1 | WED | 1030-1120 | TAISPSPACE |
0930
1030
1130
1230
1330
1430
1530
1630
1730
SC2300
TUT | TAISPSPACE
SC2300
LEC/STUDIO | TAISPSPACE
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