Sep 20, 2021  
2021-2022 Undergraduate Academic Catalog and Student Handbook 
    
2021-2022 Undergraduate Academic Catalog and Student Handbook
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CAP 4612 - Machine Learning


Credits: 3

Prerequisites: (STA 2023 - Statistics 1  or STA 3032 - Probability and Statistics) and (MAS 3114 - Computational Linear Algebra  or MAS 3105 - Linear Algebra) and (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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