Machine Learning

Machine Learning (Mr James Connan/Dr Dane Brown)

Objectives:
To introduce students to image processing. This module covers aspects of image generation and manipulation, but focuses on the extraction of information from images.  The concepts covered are relevant to computer vision and image manipulation.

Contents:
Topics covered include:

  • Regression.
  • Neural networks.
  • Support Vector Macines.
  • Hidden Markov Models.
  • Clustering.  

Prerequisites:
Enthusiasm and the ability to think outside of the box.  Strong competency in at least one programming language.

Last Modified: Fri, 01 Mar 2019 12:08:56 SAST