Courses

MSIM 607: Machine Learning

Course provides a practical treatment of design, analysis, implementation and applications of algorithms. Topics include multiple learning models: linear models, neural networks, support vector machines, instance-based learning, Bayesian learning, genetic algorithms, ensemble learning, reinforcement learning, unsupervised learning, etc. (Cross listed with ECE 607)

Total Credit Hours: 3
Semester(s):
Spring 2019
Prerequisites:
N/A
Instructor:
Li, Jiang
Instructor Email:
JLI@ODU.EDU

Weekly Live Sessions

Mon Tue Wed Thu Fri Sat
7:10 - 9:50 PM

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Questions? Contact the ODU CGEP Director:

Anothony W. Dean   •   Ph: 757-683-7121   •   adean@odu.edu