Preprocessing Data for Creating Bayesian Networks

Learn how to structure observations in a database to train a Bayesian network effectively.

In this lesson, we will explore the conversion of networks into Bayesian networks, where nodes represent random variables and edges represent conditional dependencies. We'll build a suitable database for training a Bayesian network and understanding the structure and relationships between nodes.

Let’s imagine this scenario: We are city planners for a small town with ten distinct ...

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