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About 10 1 1 207 351 PDF
This document provides an overview and introduction to Bayesian artificial intelligence and Bayesian networks. It discusses key concepts like reasoning under uncertainty using probabilities, Bayes' theorem, conditional probabilities, and probabilistic causality. The document introduces topics like Bayesian decision theory, effective Bayesian reasoning, and using Bayesian networks for applications like medicine, law, and more. It aims to explain the Bayesian philosophy and approach to artificial intelligence.
Detailed Information
| Author: | ['Yoke Ching'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 133 |
| Language: | English |
| Format: | |
| Price: | FREE |
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