NDLI: Graphical Models

Content Provider	Scilit
Author	Marsland, Stephen
Copyright Year	2014
Description	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. Book Name: Machine Learning
Related Links	https://content.taylorfrancis.com/books/download?dac=C2012-0-12750-0&isbn=9780429102509&doi=10.1201/b17476-16&format=pdf
Ending Page	358
Page Count	38
Starting Page	321
DOI	10.1201/b17476-16
Language	English
Publisher	Informa UK Limited
Publisher Date	2014-10-08
Access Restriction	Open
Subject Keyword	Book Name: Machine Learning Physical Chemistry History and Philosophy of Science Science Machinery Probabilistic Mathematical Brings
Content Type	Text
Resource Type	Chapter

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