CSCE 478/878: Introduction to Machine Learning

Prereqs: CSCE 310 or CSCE 311.
MATH/STAT 380 or ELEC 305 recommended.
Introduction to the fundamentals and current trends in machine learning. Possible applications for game playing, text categorization, speech recognition, automatic system control, date mining, computational biology, and robotics. Theoretical and empirical analyses of decision trees, artificial neural networks, Bayesian classifiers, genetic algorithms, instance-based classifiers and reinforcement learning.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom

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