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AY2020/2021 Semester 1
This course gives an overall view of the modern statistical/machine learning techniques for mining massive datasets, ranging from generalized linear models, over model selection, to the state-of-the-art techniques like LASSO, neural networks, etc. This course will not only discuss individual algorithms and methods, but also tie principles and approaches together from a theoretical perspective. Moreover, students can gain a hands-on experience through team project. This course equips students with the necessary skills for being a data analyst.
| AUs | 4.0 AUs |
| Categories | CoreMinorsBDE |
| Not Available To Programme | EEE, EEEC, IEEC, IEM |
| Mutually Exclusive With | CZ4041 |
| Exam |
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |
| Mon | Tue | Wed | Thu | Fri | ||
|---|---|---|---|---|---|---|
| 830 | 71170 TUT (T1) 0830-0930 Fri LHS-TR+47 | |||||
| 900 | ||||||
| 930 | 71171 TUT (T2) 0930-1030 Fri LHS-TR+47 | |||||
| 1000 | ||||||
| 1030 | ||||||
| 1100 | ||||||
| 1130 | ||||||
| 1200 | ||||||
| 1230 | ||||||
| 1300 | ||||||
| 1330 | ||||||
| 1400 | ||||||
| 1430 | 71170 LAB (LA1) 1430-1630 Mon COMP LAB 2 | 71171 LAB (LA2) 1430-1630 Mon COMP LAB 3 | ||||
| 1500 | ||||||
| 1530 | ||||||
| 1600 | ||||||