Modelling in Machine Learning

Professor Christopher Yau, University of Manchester

In this lecture, we will consider the principles of modelling in a machine learning settings. We will consider a number of case studies and focus on the modelling choices that went into the design of the machine learning methods.

Topics covered include:

• Design of probabilistic models
• Choosing inference techniques
• Model checking and validation