This module covers several aspects of machine learning and its interesting applications, including computer vision, network security and several others. The concepts cover the fundamentals of machine learning and expand to the newer deep learning methods typically used in AI.

Topics covered include:

• Good practices and data visualisation
• Regression and classification
• Tree-based methods
• Neural networks
• Support Vector Machines
• Unsupervised learning
• Deep learning

Prerequisites: Enthusiasm and the ability to think outside of the box. Strong competency in mathematics and Python.

Last Modified: Thu, 13 Mar 2025 09:30:27 SAST