Spring 2021  |  STAT 5052 Section 001: Statistical and Machine Learning (66473)

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:
Completely Online
Class Attributes:
Online Course
Enrollment Requirements:
Stat 5101, Stat 5102, Stat 5302, co-req CSci 5521
Times and Locations:
Regular Academic Session
 
01/19/2021 - 05/03/2021
Mon, Wed, Fri 09:05AM - 09:55AM
Off Campus
UMN REMOTE
Enrollment Status:
Open (9 of 25 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/66473/1213

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