Stanford CS221 | Autumn 2025 | Lecture 12: Bayesian Networks I
Summary
This video is a Stanford University lecture (CS221) covering Bayesian Networks, a fundamental concept in Artificial Intelligence. It is highly relevant for students learning core AI principles and for educators looking for university-level instructional materials on AI/ML topics.
Description
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai To learn more about enrolling in this course, visit: https://online.stanford.edu/courses/cs221-artificial-intelligence-principles-and-techniques Please follow along with the course schedule: https://stanford-cs221.github.io/autumn2025/ Follow the playlist: https://youtube.com/playlist?list=PLoROMvodv4rMeDqwS1yFl3j3sR_-MQNEN&si=bVivXjDfVEQKky1D Teaching Team Percy Liang, Associate Professor of Computer Science (and courtesy in Statistics)
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