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CS 613 Machine Learning 3.0 Credits
This course studies modern statistical machine learning with emphasis on Bayesian modeling and inference. Covered topics include fundamentals of probabilities and decision theory, regression, classification, graphical models, mixture models, clustering, expectation maximization, hidden Markov models, Kalman filtering, and linear dynamical systems.
Repeat Status: Not repeatable for credit
Prerequisites: CS 504 [Min Grade: C]
Mechanical Engineering BSME / Peace Engineering MS
...CS 502 , CS 575 , CS 576 Machine Learning and AI : CS 510 , CS 613 , CS...
Environmental Engineering BSENE / Peace Engineering MS
...CS 502 , SE 575 , SE 576 Machine Learning and AI : CS 510 , CS 613 , CS...
Peace Engineering MS
https://catalog.drexel.edu/graduate/collegeofengineering/peaceengineering/
...CS 502 SE 575 , SE 576 Machine Learning and AI : CS 510 , CS 613 , CS...
