The course CS 5540 A is currently full.

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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.

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

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Important Dates

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Deadlines
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