ModsMH4510
Statistical Learning Data Mining
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 |
| Exam | N/A |
| Grade Type | N/A |
| Maintaining Dept | N/A |
| Prerequisites | |
| Mutually Exclusive With | CZ4041, SC4000 |
| Not Available To Programme | EEE, EEEC, IEEC, IEM |
| Not Available To All Programme With | N/A |
| Not available as Core for programmes | N/A |
| Not Available as PE for programmes | N/A |
| Not Available as BDE/UEs for programmes | N/A |
| Not Offered To | N/A |
Total hours per week: 3 hrs
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | 70310 TUT (T) 0930-1020 Fri LHS-TR+47 | ||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | 70310 LAB (LA) 1430-1620 Mon COMP LAB 3 | ||||
| 1500 | |||||
| 1530 | |||||
| 1600 |