CAP 4612 - Machine Learning
Prerequisites: STA 2023 - Statistics 1 ; MAS 3114 - Computational Linear Algebra OR MAS 3105 Linear Algebra ;
COP 3530 - Data Structures & Algorithms OR COP 4415 - Data Structures and COP 4531 - Algorithm Design & Analysis
Course Description: An overview of machine learning algorithms and their applications. Topics covered include: supervised and unsupervised learning, clustering and classification, linear and logistic regression, dimensionality reduction, support vector machines, anomaly detection.
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