Machine Learning (Mr James Connan & Dr Dane Brown)

This module covers several aspects of machine learning and its interesting applications, including image processing, network security and several others such as wine quality classification and crime prediction. The concepts covered are relevant to machine learning and include some applied data science.

Topics covered include:

  • Good practices and daya visualisation
  • Regression and classification.
  • Neural networks.
  • Support Vector Macines.
  • Unsupervised learning
  • Clustering.  

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

Last Modified: Thu, 27 Jul 2023 12:08:55 SAST