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. 

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

Weekly Live Sessions

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

Back to Search Results

Questions? Contact the ODU CGEP Director:

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