ECE 175B. Elements of Machine Intelligence: Probabilistic Reasoning and Graphical Models (4 units)
Link to catalog page: https://catalog.ucsd.edu/courses/ECE.html#ece175b
Description
Bayes’ rule as a probabilistic reasoning engine; graphical models as knowledge encoders; conditional independence and D-Separation; Markov random fields; inference in graphical models; sampling methods and Markov Chain Monte Carlo (MCMC); sequential data and the Viterbi and BCJR algorithms; The Baum-Welsh algorithm for Markov Chain parameter estimation. Prerequisites: ECE 175A.
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Successor courses
No courses have ECE 175B as a prerequisite.