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

CSE 674: Advanced Machine Learning

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.

Ph.D.:

None.

M.S.:

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

CSE 4/574 or equivalent

Course Instances
Semester Section Title Instructor Credit Hours Enrolled
Spring 2017 LEC Advanced Machine Learning Dr. Sargur (Hari) N. Srihari 3 39/97
Spring 2016 LEC Advanced Machine Learning Dr. Sargur (Hari) N. Srihari 3 35/97
Spring 2015 LEC Advanced Machine Learning Dr. Sargur (Hari) N. Srihari 3 55/70
Spring 2014 LEC Advanced Machine Learning Dr. Sargur (Hari) N. Srihari 3 40/70
Spring 2012 LEC Advanced Machine Learning Dr. Sargur (Hari) N. Srihari 3 1/10
Spring 2012 LEC Advanced Machine Learning Dr. Sargur (Hari) N. Srihari 3 27/30
Spring 2011 LEC Advanced Machine Learning Dr. Sargur (Hari) N. Srihari 3 0/10
Spring 2011 LEC Advanced Machine Learning Dr. Sargur (Hari) N. Srihari 3 10/30
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