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UB Graduate Academic Schedule: Spring 2019

  • This information is updated nightly. Additional information about this course, including real-time course data, prerequisite and corequisite information, is available to current students via the HUB Student Center, which is accessible via MyUB. Information about HUB can be found at

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    CSE 674LEC - Advanced Machine Learning
    Advanced Machine Learning 000 Enrollment Information (not real time - data refreshed nightly)
    Class #:   18119   Enrollment Capacity:   180
    Section:   000   Enrollment Total:   91
    Credits:   3.00 credits   Seats Available:   89
    Dates:   01/28/2019 - 05/10/2019   Status:   OPEN WITH RESERVES
    Days, Time:   M W , 6:30 PM - 7:50 PM
    Room:   Cooke 121 view map
    Location:   North Campus      
    Reserve Capacities
    Description Enrollment Capacity Enrollment Total  
    CSE: Seats Reserved 103 53  
    Enrollment Requirements
    Prerequisites: Pre-Requisite: CSE 474 Or CSE 574 Or CSE 555.
      Course Description
    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.
                 Srihari, S N look up    
      On-line Resources
    Other Courses Taught By: Srihari, S N