EGR 8311 :
Machine Learning for Engineers

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Introductions to machine learning. Overview of optimization. Least mean square algorithm and regression analysis. Artificial neural networks, radial basis function, kernel learning and support vector machines. Decision trees. Genetic algorithms. Swarm intelligence. Bayesian techiniques. Hidden Markov Models. Hopfield network and Neurodynamics. Prerequisite: ME 7000 (concurrency allowed) or Instructor's permisson.

Prerequisites

ME 7000 :Y

Overview

Program

Mechanical Engineering

Credits

Credits 3

Last Offered

Fall 2023, Spring 2022, Fall 2019, Spring 2018