Spring 2024  |  STAT 5052 Section 001: Statistical and Machine Learning (54524)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Repeat Credit Limit:
4 Credits
Grading Basis:
A-F only
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Enrollment Requirements:
Stat 5102, 5302; or Stat grad student
Times and Locations:
Regular Academic Session
 
01/16/2024 - 04/29/2024
Mon, Wed, Fri 09:05AM - 09:55AM
UMTC, East Bank
Vincent Hall 113
Enrollment Status:
Open (6 of 20 seats filled)
Also Offered:
Course Catalog Description:
The material covered will be the foundations of modern machine learning methods including regularization methods, discriminant analysis, neural nets, random forest, bagging, boosting, support vector machine, and clustering. Model comparison using cross-validation and bootstrap methods will be emphasized.
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/54524/1243

ClassInfo Links - Spring 2024 Statistics Classes

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