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University at Buffalo

UB Graduate Academic Schedule: Fall 2022


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.


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EAS 508LEC - Statistical Learning I
Lecture
Statistical Learning I BROD Enrollment Information (not real time - data refreshed nightly)
Class #:   22220   Enrollment Capacity:   66
Section:   BROD   Enrollment Total:   66
Credits:   3.00 credits   Seats Available:   0
Dates:   08/29/2022 - 12/09/2022   Status:   CLOSED
Days, Time:   T R , 11:00 AM - 12:20 PM
Room:   Obrian 109 view map
Location:   North Campus      
Reserve Capacities
Description Enrollment Capacity Enrollment Total  
Eng Sci MS Data Sci Seats Rsvr 66 66  
  Course Description
An introduction to the mathematical theory and computational methodology at the heart of statistical learning. This first semester considers supervised learning, including topics classification -- support vector machines, k-nearest neighbors, Naive Bayes, logistic regression, tree methods and forests, bagging and ensemble methods, GPs and neural networks -- and methods for validation and testing. R programming will be used. Prerequisite experience: EAS MS-DS student, or MTH 142, MTH 309, MTH 411 or equivalent, or permission of instructor.
  Instructor(s)
             Broderick look up    
  On-line Resources
Other Courses Taught By: Broderick