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.
Prerequisite Graph
Required first
MH2500ProbabilityMH3500StatisticsMH3510Regression AnalysisMH3511Data Analysis With ComputerMH4510
Statistical Learning & Data Mining
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Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | 70310 TUT (T) 0930-1020 Fri LHS-TR+52 | ||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | 70310 LAB (LA) 1430-1620 Mon COMP LAB 3 | ||||
| 1500 | |||||
| 1530 | |||||
| 1600 |
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