Chapter 16
Graphical Models
Throughout this book we have seen that machine learning brings together computer science and statistics. Nowhere is this more clearly shown than in one of the most popular areas of current research in machine learning: graphical models (or more completely, probabilistic graphical models), which use graph theory with all its underlying computational and mathematical machinery in order to explain probabilistic models.
The graphs used in graphical models are the exact ones that are taught in basic algorithms classes: a set of nodes, together with links between them, which can be either directed (i.e., have arrows on them so that you can only go one way along them) or not. There are two basic types of graphical models, ...
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