Machine Learning provides a practical treatment of design, analysis and implementation of algorithms, which learn from examples. Topics include multiple machine learning models: linear regression, logistic regression, neural networks, support vector machines, deep learning, Bayesian learning and unsupervised learning. Students are expected to use popular machine learning tools and algorithms to solve real data engineering problems
Intro To Machine Learning For Data Analysis Engineering
Old Dominion University
Electrical & Computer Engineering
Li, J. (email@example.com)
Times and Days
(Offered spring) Prerequisites: A grade of C or better in ENGN 150 or CS 150. Pre- or corequisite: ECE 350.