MCIS 6283 - Machine Learning
Prerequisites: Admission to the School of Graduate Studies or departmental permission.
This course covers the theoretical and practical fundamentals of machine learning. Students will explore the key concepts of machine learning in a practical approach. Students will learn various machine learning tasks including algorithms and techniques such as linear regression, logistic regression, support vector machines, reinforcement learning, Bayesian decision theory, hidden Markov models, and neural networks. Spring.
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