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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 574LEC - Intro Machine Learning
    Intro Machine Learning 000 Enrollment Information (not real time - data refreshed nightly)
    Class #:   18112   Enrollment Capacity:   200
    Section:   000   Enrollment Total:   162
    Credits:   3.00 credits   Seats Available:   38
    Dates:   01/28/2019 - 05/10/2019   Status:   OPEN WITH RESERVES
    Days, Time:   T R , 2:00 PM - 3:20 PM
    Room:   Cooke 121 view map
    Location:   North Campus      
    Reserve Capacities
    Description Enrollment Capacity Enrollment Total  
    CSE: Seats Reserved 149 90  
      Course Description
    Involves teaching computer programs to improve their performance through guided training and unguided experience. Takes both symbolic and numerical approaches. Topics include concept learning, decision trees, neural nets, latent variable models, probabilistic inference, time series models, Bayesian learning, sampling methods, computational learning theory, support vector machines, and reinforcement learning.
                 Gao, M look up    
      On-line Resources
    Other Courses Taught By: Gao, M