Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for additional information.

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Course Descriptions: Search Results

MTH 801  Machine Learning Algorithms: Mathematical Analysis

Semester:
Fall of every year, Spring of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Description:
Introduction to the mathematical basis of machine learning and predictive analytics. Linear and ridge regression, principal component analysis, classification methods, and neural networks. Convergence of algorithms.
Effective Dates:
FS22 - Open


MTH 801  Machine Learning Algorithms: Mathematical Analysis (Interim Change)

Semester:
Fall of every year, Spring of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Restrictions:
Open to graduate students or master's students or doctoral students in the Applied Mathematics Major or in the Industrial Mathematics Major or in the Mathematics Major or approval of department.
Description:
Introduction to the mathematical basis of machine learning and predictive analytics. Linear and ridge regression, principal component analysis, classification methods, and neural networks. Convergence of algorithms.
Effective Dates:
FS24 - Open