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CSC 375 - Introduction to Machine Learning |
CSC 375 Introduction to Machine Learning (3). Course is a basic introduction to topics in the field of machine learning. The course focuses on designing algorithms that allow computers to learn and take actions in a probabilistic fashion using statistical inferences. Students will explore Probabilistic Reasoning, Belief Networks, Bayesian learning, hidden variable learning, supervised and unsupervised learning, linear modeling, Gaussian processes, Mixture Models, and Discrete State Markov Models. Prerequisite: CSC 345
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Lecture Computer Science & Info System Department Course Attributes: Trad (Fees) |