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Fall 2017 Semester
Sep 26, 2017
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Information Select the desired Level or Schedule Type to find available classes for the course.

CS 7140 - Advanced Machine Learning
Covers topics in advanced machine learning. Presents materials in the current machine learning literature. Focuses on graphical models, latent variable models, Bayesian inference, and nonparametric Bayesian methods. Seeks to prepare students to do research in machine learning. Expects students to read conference and journal articles, present these articles, and write an individual research paper. CS 7140 and EECE 7397 are cross-listed.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science, Crosslisted Course

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate
Must be enrolled in one of the following Colleges:     
      College of Engineering
      Coll of Computer & Info Sci

Prerequisites:
Graduate level CS 6140 Minimum Grade of C- or Graduate level EECE 7204 Minimum Grade of C- or Graduate level EECE 7313 Minimum Grade of C-

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