Module code | MVA 880 |
Qualification | Postgraduate |
Faculty | Faculty of Economic and Management Sciences |
Module content | Supervised and unsupervised methods, including computational methods, within the broader context of data mining. Supervised learning. Linear methods for Regression, Classification and Prediction. Basis Expansions, Regularisation, Smoothing, Additive models and Support Vector Machines. |
Module credits | 20.00 |
Programmes | |
Service modules | Faculty of Natural and Agricultural Sciences |
Prerequisites | No prerequisites. |
Contact time | 1 lecture per week |
Language of tuition | English |
Academic organisation | Statistics |
Period of presentation | Semester 1 or Semester 2 |
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