UE Pattern recognition and machine learning

Degrees incorporating this pedagocial element :


This course will provide an introduction to modern techniques for Bayesian pattern recognition and machine learning. We will begin with a review of linear regression, generative and discriminative methods for linear classification and the use of Kernel Methods and Support Vector Machines. We will then examine Bayesian Networks, Gaussian Mixture Models and principal components analysis. The course will provide basic competence in machine learning methods that can be used to construct systems for data mining, communications, signal analysis, computer vision, speech recognition, man-machine interaction, and intelligent systems.