modules

This module will explore machine learning and artificial intelligence at an advanced level.  It examines some of the theoretical foundations of machine learning and AI, together with some advanced techniques. In particular it examines Bayesian probability and fuzzy logic for dealing with uncertainty, and their relations to information theory.  It also introduces techniques for dealing with temporally or spatially structured data, and reinforcement learning.

_{Please note that all modules are subject to change, please get in touch if you have any questions about this module.}