Skip to Content
Fall classes will be held remotely after November 25th, with some professional programs maintaining in person instruction. Students should check with their instructors regarding any in-person requirements from November 25th through the end of the fall semester.
University at Buffalo

UB Graduate Academic Schedule: Fall 2020


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.


|

CDA 541LEC - Statistical Data Mining I
Lecture
Statistical Data Mining I Z Enrollment Information (not real time - data refreshed nightly)
Class #:   23907   Enrollment Capacity:   40
Section:   Z   Enrollment Total:   39
Credits:   3.00 credits   Seats Available:   1
Dates:   08/31/2020 - 12/11/2020   Status:   OPEN WITH RESERVES
Days, Time:   TBA , TBA
Room:   Remote view map
Location:   Remote      
Reserve Capacities
Description Enrollment Capacity Enrollment Total  
Data Sciences & Applics MPS 40 37  
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 STA 545 and EAS 506, and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements.
  Instructor(s)
             Hageman Blair, R look up    
             Tian, M look up    
  On-line Resources
Other Courses Taught By: Hageman Blair, R