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6. Bayes Nets

Author: Josh Hug and Jacky Liang

Edited by: Regina Wang, Pranav Muralikrishnan, and Wesley Zheng

Credit: Some sections adapted from the textbook Artificial Intelligence: A Modern Approach.

Last updated: November 2024

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• 6.1 Probability Rundown
• 6.2 Probability Inference
• 6.3 Bayesian Network Representation
• 6.4 Structure of Bayes Nets
• 6.5 D-Separation
• 6.6 Exact Inference in Bayes Nets
• 6.7 Approximate Inference in Bayes Nets: Sampling
• 6.8 Summary

* * * * [6.1 Probability Rundown](/cs188/bayes-nets/probability.html) * [6.2 Probability Inference](/cs188/bayes-nets/inference.html) * [6.3 Bayesian Network Representation](/cs188/bayes-nets/representation.html) * [6.4 Structure of Bayes Nets](/cs188/bayes-nets/structure.html) * [6.5 D-Separation](/cs188/bayes-nets/d-separation.html) * [6.6 Exact Inference in Bayes Nets](/cs188/bayes-nets/elimination.html) * [6.7 Approximate Inference in Bayes Nets: Sampling](/cs188/bayes-nets/approximate.html) * [6.8 Summary](/cs188/bayes-nets/summary.html)