Intelligent Data Analysis and Probabilistic Inference (2016/17)

Imperial College London (CO-493)

The course is co-taught by Duncan Gillies and Marc Deisenroth.

Syllabus

• Bayes’ Theorem and Bayesian Inference
• Bayesian Decision Trees -Evidence and message passing
• Inference in singly connected networks
• Building networks from data
• Cause and Independence
• Model Accuracy
• Approximate Inference
• Exact Inference
• Probability propagation in Join Trees
• Graphical models
• Gaussian processes, part 1
• Gaussian processes, part 2
• Bayesian optimization
• MCMC