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Statistical learning 880


 
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.
Unsupervised learning: Clustering, principal components, dimensional reduction. Data methods:  Organisation of data and exploratory data analysis.
Module credits 20.00
Service modules Faculty of Natural and Agricultural Sciences
Prerequisites No prerequisites.
Contact time 1 lecture per week
Language of tuition Module is presented in English
Academic organisation Statistics
Period of presentation Semester 1 or Semester 2
The information published here is subject to change and may be amended after the publication of this information. The General Regulations (G Regulations) apply to all faculties of the University of Pretoria. It is expected of students to familiarise themselves well with these regulations as well as with the information contained in the General Rules section. Ignorance concerning these regulations and rules will not be accepted as an excuse for any transgression.

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