CSC 488 - Pattern Recognition & Machine Learning

This course covers fundamental concepts, theories, and algorithms for pattern recognition and machine learning. It includes basic ideas on probability and statistics, parametric and non-parametric learning, data clustering, support vector machine, and neural networks. It covers multiple applications, such as pattern recognition in bioinformatics and pattern analysis & machine intelligence in healthcare.

Prerequisites and Corequisites
Prerequisite: CSC CSC 155 CSC 155L

Cross-listed: CSC 588

Credits: 3

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