Data Mining Using AI & Machine Learning.

Catalog description

This course provides the basic concepts of neural networks and machine learning including but not limited to biological foundations of neuronal morphology, machine learning concept and its fundamentals, basics of neural information processing, artificial neuron and its activation functions, multilayer feed forward neural networks and back propagation learning, Hopfield neural networks and associative memories, neuro-fuzzy and kernel-based networks, and support vector machines. Laboratory exercises provide experience with design and utilization neural and other machine-learning algorithms using MATLAB and solving real-world classification, prediction, and pattern recognition problems. This will help students to accomplish specified challenges as they build problem-solving skills. Prerequisite: COSC 1315 or ENGR 1201 .