42-683 Introduction to Machine Learning for Biomedical Engineers

9 units, Carnegie Mellon University

This course introduces fundamental concepts, methods and applications in machine learning and datamining. We will cover topics such as parametric and nonparametric learning algorithms, support vector machines, neural networks, clustering, clustering and principal components analysis. The emphasis will be on learning highlevel concepts behind machine learning algorithms, and applying them to biomedicalrelated problems. This course is intended for advanced undergraduate and graduate students in Biomedical Engineering or related disciplines. Students should have experience with highlevel programming language such as Matlab, basic familiarity with probability, statistics and linear algebra, and should be comfortable with manipulating vectors and matrices.

Prerequisites: none listed

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