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Gaussian processes for machine learning

Gaussian processes for machine learning

by Carl Edward Rasmussen

Data processingGaussian processesMachine learningMathematical modelsInformatique
4.0
Open Library
Open Library

About this book

Gaussian processes (GPs) provide an approach to kernel-machine learning. This book provides a treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. (From the book's web site, http://www.gaussianprocess.org/gpml/ )

Themes & subjects

Data processingGaussian processesMachine learningMathematical modelsInformatiqueModèles mathématiques

Author

Carl Edward Rasmussen

Pages

272

Read time

≈ 7h

Editions

6

Language

English

Publisher

MIT Press

ISBN

9781423769903

Where to buy

TR
Amazon Bookshop

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