Pattern Recognition and Machine Learning - Couverture souple

Bishop, Christopher M.

Couverture souple

ISBN 10 : 1493938436 ISBN 13 : 9781493938438

Editeur : Springer-Verlag New York Inc., 2016

Synopsis

Cert article n est plus en solde !

Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

A propos du livre

À propos de l?auteur

​Chris Bishop is a Microsoft Distinguished Scientist and the Laboratory Director at Microsoft Research Cambridge. He is also Professor of Computer Science at the University of Edinburgh, and a Fellow of Darwin College, Cambridge. In 2004, he was elected Fellow of the Royal Academy of Engineering, and in 2007 he was elected Fellow of the Royal Society of Edinburgh.
Chris obtained a BA in Physics from Oxford, and a PhD in Theoretical Physics from the University of Edinburgh, with a thesis on quantum field theory. He then joined Culham Laboratory where he worked on the theory of magnetically confined plasmas as part of the European controlled fusion programme.

Détails de l'édition

• Éditeur: Springer-Verlag New York Inc.
• Date d'édition: 2016
• Langue: anglais
• ISBN 10: 1493938436
• ISBN 13: 9781493938438
• Reliure: Broché
• Nombre de pages: 778
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Allemagne