CS 5540 A (CRN: 13204)
Computer Science: Advanced Machine Learning (A)
3 credit hours
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About CS 5540 A
Provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (linear regression, logistic regression, neural networks, support vector machines, decision tree, ensemble models, random forest); unsupervised learning (clustering, dimensionality reduction, kernel methods); Also introduces deep learning such as convolutional neural networks and discusses recent applications. Credit not awarded for both CS 5540 and CS 3540. Prerequisites: Knowledge of statistics as from STAT 2510, knowledge of linear algebra as from MATH 2522 or MATH 2544; Graduate student.
Notes
Prereqs enforced by the system: STAT 2510 or STAT 5510; MATH 2522 or MATH 2544; Co-located with CS 3540; Total combined enrollment: 40
Syllabus Unavailable
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