CS 5540 A (CRN: 95132)
Computer Science: Advanced Machine Learning
3 Credit Hours
For crosslists see: CS 3540 A CSYS 5990 A
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. Prerequisite: Knowledge of statistics as from STAT 2510; knowledge of linear algebra as from MATH 2522 or MATH 2544.
Notes
Prereqs: STAT 2510 or 5510, and MATH 2522 or 2544; Colocated with CS 3540 A; Crosslisted with CSYS 5990 A; Total combined enrollment: 45; Open to Degree and PACE students
Syllabus Unavailable
Please contact the instructor for information about this course.
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CS 5540 A is closed to new enrollment.
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