This course introduces fundamental concepts, methods and applications of machine learning as applied to biomedical problems. Topics to be covered include parametric and non-parametric learning algorithms, support vector machines, neural networks, clustering, clustering and principal components analysis applicable to biomedical systems.
Prerequisite:
ENGE 320 Statistics and Probability for Engineers
