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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