Teaching
Teaching
National University of Singapore, Uncertainty Modeling in Artificial Intelligence (CS5340)
This module covers modeling methods that are suitable for reasoning with uncertainty. The main focus will be on probabilistic models including Bayesian networks and Markov networks. Topics include representing conditional independence, building graphical models, inference using graphical models and learning from data.
Semester II, 2011
University College London, MSc Machine Learning in Business course (GI09)
The aim of this course is to provide an external viewpoint on the business applications of Intelligent Systems within the areas covered by the MSc in IS. The course should stimulate a questioning and inquisitive approach to the field. We expect the material covered to be topical and informative and presented in such a way as to encourage discussion. (2006 - 2009)