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University at Buffalo

UB Graduate Academic Schedule: Fall 2021


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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STA 545LEC - Statistical Data Mining I
Lecture
Statistical Data Mining I 0000 Enrollment Information (not real time - data refreshed nightly)
Class #:   19782   Enrollment Capacity:   125
Section:   0000   Enrollment Total:   0
Credits:   3.00 credits   Seats Available:   125
Dates:   08/30/2021 - 12/10/2021   Status:   OPEN
Days, Time:   F , 9:10 AM - 12:00 PM
Room:   Remote view map
Location:   Remote      
Comments
This course is for Engineering Science (Data Science) students only.
Enrollment Requirements
Prerequisites: Pre-Requisite: MTH 142 And MTH 309 And STA 511; or Engineering, Biostatistics or Mathematics Major.
  Course Description
This course presents statistical models for data mining, inference and prediction. The focus will be on supervised learning, which concerns outcome prediction from input data. Students will be introduced to a number of methods for supervised learning, including: linear and logistic regression, shrinkage methods, lasso, partial least squares, tree-based methods, model assessment and selection, model inference and averaging, and neural networks. Computational applications will be presented using R and high dimensional data to reinforce theoretical concepts. This course is the same as EAS 506 and CDA 541, and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements.
  Instructor(s)
             Hageman Blair look up    
  On-line Resources
Other Courses Taught By: Hageman Blair