Optimization for Machine Learning - Couverture rigide

Couverture rigide

ISBN 10 : 026201646X ISBN 13 : 9780262016469

Editeur : MIT Press, 2011

Synopsis

Optimization for Machine Learning The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations and methods are proving to be vital in designing algorithms to extract essential knowledge from huge volumes of data. Machine learning, however, is not simply a consumer of optimization technology but a rapidly evolving field that is itself ge... Full description

A propos du livre

À propos des auteurs

Suvrit Sra is a Research Scientist at the Max Planck Institute for Biological Cybernetics, Tü bingen, Germany.

Sebastian Nowozin is a Researcher in the Machine Learning and Perception group (MLP) at Microsoft Research, Cambridge, England.

Stephen J. Wright is Professor of Computer Science at the University of Wisconsin– Madison.

Dimitri P. Bertsekas is Professor of Electrical Engineering and Computer Science at MIT.

Masashi Sugiyama is Associate Professor in the Department of Computer Science at Tokyo Institute of Technology.

Détails de l'édition

• Éditeur: MIT Press
• Date d'édition: 2011
• ISBN 10: 026201646X
• ISBN 13: 9780262016469
• Reliure: Relié
• Langue: anglais
• Nombre de pages: 512
• Éditeur: Sra Suvrit, Nowozin Sebastian, Wright Stephen J.
• Coordonnées du fabricant: non disponible