Courses

ECE 607: Machine Learning I

Course provides a practical treatment of design, analysis, implementation and applications of algorithms. Topics include multiple machine learning models: linear models, neural networks, support vector machines, instance-based learning, Bayesian learning, genetic algorithms, ensemble learning, reinforcement learning, unsupervised learning, etc. Prerequisites: Graduate standing. 

Total Credit Hours: 3
Semester(s):
Spring 2017
Instructor:
JIANG LI
Instructor Email:
jli@odu.edu

Weekly Live Sessions

Mon Tue Wed Thu Fri Sat
4:20 pm - 7:00 pm

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Questions? Contact the ODU CGEP Director:

Linda Vahala    •   Ph: 757-683-4968   •   lvahala@odu.edu