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Probabilistic Machine Learning . ECE 186
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.
Prerequisites: ECE 139 or PSTAT 120A or equivalent.
These majors only
ee
cmpen
PEDARSANI R
No info found
Past Enrollment Trends (1)
Winter 2025 . Pedarsani R
GIRV 2112
M
W
15:30 PM - 16:45 PM
ECE 186
Pedarsani R
Winter 2025
Total: 29
Other ECE 186 Offerings
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Probabilistic Machine Learning
Ramtin Pedarsani
4.0
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