UB - University at Buffalo, The State University of New York Computer Science and Engineering

CSE 674: Advanced Machine Learning

This page refers to the Spring 2017 offering of CSE 674 only. The information on this page does not necessarily apply to every offering of CSE 674.

Spring 2017


Artificial Intelligence/Machine Learning

Machine Learning techniques are a systematic approach to designing information processing systems, such as those for classification and regression, wherein significant uncertainty exists in the data. In the machine learning approach, input-output relationships are learnt from representative samples. This course will build upon basic techniques covered in the pre-requisite courses and cover advanced topics to include: graphical models (including Bayesian networks), mixture models and expectation maximization, approximate inference, sampling methods, continuous latent variables, sequential data, and combining models.

CSE 4/574 or equivalent

Ph.D.: None.

M.S.: This course fulfills one Artificial Intelligence Core Area (Depth) requirement.

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