Bayes network is a type of probabilistic graphical model that can be used to build models to address business problems. Applications of this are quite wide. For example, it can be used in anomaly detection, predictive modeling, diagnostics, automated insights, and many other applications.
It is totally understandable that a few words used here would have been alien to you till now. For example, what do we mean by graphical here?
A graph forms out of a set of nodes and edges. Nodes are represented by N={N1,N2…..Nn}, where independent variables are sitting at every node. Edges are the connectors between nodes. Edges can be denoted by E={E1, E2…..En} and can be of two types:
- Directed, represented by
- Undirected, represented by:
With the help of nodes and edges, a relationship between the variables is exhibited. It can be a conditional independence relationship or a conditional dependence relationship. BN is one a techniques that can introduce causality amongst variables. Although...