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Mathematical foundations of data science 806


 
Module code NEP 806
Qualification Postgraduate
Faculty Faculty of Natural and Agricultural Sciences
Module content

High-dimensional space, best-fit subspaces and singular value decomposition, random walks and Markov chains, statistical machine learning, clustering, random graphs, topic models, matrix factorisation, hidden Markov models, graphical models, wavelets, and sparse representations.

Module credits 15.00
NQF Level 09
Prerequisites No prerequisites.
Language of tuition Module is presented in English
Department Statistics
Period of presentation Semester 1 or Semester 2

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