ABSTRACT
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.
