Bayesian reasoning and Gaussian processes for machine learning applications

"The book Bayesian Reasoning and Gaussian Processes for Machine Learning Applications talks about Bayesian Reasoning and Gaussian Processes in machine learning applications. Bayesian methods are applied in many areas such as game development, decision making and drug discovery. It is very effec...

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Bibliographische Detailangaben
Weitere Verfasser: Kannan, Hemachandran (HerausgeberIn), Tayal, Shubham (HerausgeberIn), George, Preetha Mary (HerausgeberIn), Singla, Parveen (HerausgeberIn), Köse, Utku (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Boca Raton, FL, London, UK, New York, NY CRC Press, Taylor & Francis Group 2022
Ausgabe:First edition
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Online Zugang:Inhaltsverzeichnis
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Beschreibung
Zusammenfassung:"The book Bayesian Reasoning and Gaussian Processes for Machine Learning Applications talks about Bayesian Reasoning and Gaussian Processes in machine learning applications. Bayesian methods are applied in many areas such as game development, decision making and drug discovery. It is very effective for machine learning algorithms for handling missing data and for extracting information from small datasets. This book introduces a statistical background which is needed to understand continuous distributions and it gives an understanding on how learning can be viewed from a probabilistic framework. The chapters of the book progress into machine learning topics such as Belief Network, Bayesian Reinforcement Learning etc., which is followed by Gaussian Process Introduction, Classification, Regression, Covariance and Performance Analysis of GP with other models. This book is aimed primarily at graduates, researchers and professionals in the field of data science and machine learning"--
Beschreibung:Includes bibliographical references and index
Beschreibung:xiv, 133 Seiten
Illustrationen, Diagramme
ISBN:9780367758479
978-0-367-75847-9
9780367758493
978-0-367-75849-3