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ECE186

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ECE 186 - Probabilistic Machine Learning

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

Prerequisites

ECE 139 or PSTAT 120A or equivalent.