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About Syllabus 2018 19 Bayesian Networks
This document is a learning guide for the subject "103000359 - Bayesian networks" which is part of the Master's Degree program in Artificial Intelligence. It provides details about the subject including the faculty teaching it, the skills and learning outcomes, a brief description of the syllabus, schedule of activities and assessment criteria, and teaching resources. The subject introduces Bayesian networks as graphical tools for modeling uncertainty and reasoning with it in intelligent systems. Students will learn how to construct Bayesian networks to represent causal and non-causal knowledge, how to perform inference by making queries to the network, and applications of Bayesian networks in artificial intelligence.
Detailed Information
| Author: | ['Franklin'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 11 |
| Language: | English |
| Format: | |
| Price: | FREE |
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