ECE186
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ECE 186 - Probabilistic Machine Learning
Electrical and Computer Engineering
College of Engineering
Full Course Title
Probabilistic Machine Learning
Instructor Name(s)
PEDARSANI
Course Description
An introductory course to topics in machine learning studied from a probability theory viewpoint. Covers an overview of basic probability, inference and estimation, regression algorithms, Markov chains, inference for Markov models and the EM algorithm, Markov decision process, and reinforcement learning. In addition to covering mathematical and algorithmic details, the course includes several hands-on projects to implement the machine learning algorithms.
Unit Value
4
Maximum number of times course can be repeated for additional credit
0
Maximum Units
4