A Tutorial on Learning With Bayesian Networks

Understand

A Bayesian network is a graphical model that encodes probabilistic relationships among variables of interest.

• When used in conjunction with statistical techniques, the graphical model has several advantages for data analysis.
• One, because the model encodes dependencies among all variables, it readily handles situations where some data entries are missing.
• Two, a Bayesian network can be used to learn causal relationships, and hence can be used to gain understanding about a problem domain and to predict the consequences of intervention.