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Bayesian Networks

1. Objectives

The purpose of this theme is to represent and solve problems with events probabilistic using Bayesian networks.

The aspects pursued in this topic are:

■ understanding issues involving uncertainty in natural language

■ determining the variables and the connections between them

■ Correct representation of causal relationships between variables using a Bayesian network

■ the correct transposition of the probabilities associated with the variables in the Bayes network

■ calculation of probabilities based on the representation using the Bayes network

■ deploy a Bayes network using a dedicated application

2. Proposed problems

The theme starts from 3 problems given in natural language. Every problem contains

certain probabilistic events and relationships between events that will be represented using a

Bayes network. In each problem you will be asked for more probabilities, which you will

calculate using the associated Bayes network structure.

Kĩ năng: Artificial Intelligence, Python, Machine Learning (ML)

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