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

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