Vendeur : SpringBooks, Berlin, Allemagne
Edition originale
EUR 26,18
Quantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : Very Good. 1. Auflage. unread, some shelfwear.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 152,01
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 152,01
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
Langue: anglais
Edité par Springer Verlag, Singapore, SG, 2020
ISBN 10 : 9811529094 ISBN 13 : 9789811529092
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 192,59
Quantité disponible : Plus de 20 disponibles
Ajouter au panierHardback. Etat : New. 2020 ed.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 196,17
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 196,66
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New.
Vendeur : preigu, Osnabrück, Allemagne
EUR 140
Quantité disponible : 5 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Accelerated Optimization for Machine Learning | First-Order Algorithms | Zhouchen Lin (u. a.) | Taschenbuch | xxiv | Englisch | 2021 | Springer Singapore | EAN 9789811529122 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
EUR 203,71
Quantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Langue: anglais
Edité par Springer Nature Singapore, 2021
ISBN 10 : 9811529124 ISBN 13 : 9789811529122
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 167,14
Quantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problems with its learning models, and first-order optimization algorithms are the mainstream approaches. The acceleration of first-order optimization algorithms is crucial for the efficiency of machine learning.Written by leading experts in the field, this book provides a comprehensive introduction to, and state-of-the-art review of accelerated first-order optimization algorithms for machine learning. It discusses a variety of methods, including deterministic and stochastic algorithms, where thealgorithms can be synchronous or asynchronous, for unconstrained and constrained problems, which can be convex or non-convex. Offering a rich blend of ideas, theories and proofs, the book is up-to-date and self-contained. It is an excellent reference resource for users who are seeking faster optimization algorithms, as well asfor graduate students and researchers wanting to grasp the frontiers of optimization in machine learning in a short time.
Langue: anglais
Edité par Springer Nature Singapore, Springer Nature Singapore, 2020
ISBN 10 : 9811529094 ISBN 13 : 9789811529092
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 166,62
Quantité disponible : 1 disponible(s)
Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problems with its learning models, and first-order optimization algorithms are the mainstream approaches. The acceleration of first-order optimization algorithms is crucial for the efficiency of machine learning.Written by leading experts in the field, this book provides a comprehensive introduction to, and state-of-the-art review of accelerated first-order optimization algorithms for machine learning. It discusses a variety of methods, including deterministic and stochastic algorithms, where thealgorithms can be synchronous or asynchronous, for unconstrained and constrained problems, which can be convex or non-convex. Offering a rich blend of ideas, theories and proofs, the book is up-to-date and self-contained. It is an excellent reference resource for users who are seeking faster optimization algorithms, as well asfor graduate students and researchers wanting to grasp the frontiers of optimization in machine learning in a short time.
Langue: anglais
Edité par Springer-Nature New York Inc, 2021
ISBN 10 : 9811529124 ISBN 13 : 9789811529122
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 232,81
Quantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 299 pages. 9.25x6.10x0.63 inches. In Stock.
Langue: anglais
Edité par Springer-Nature New York Inc, 2020
ISBN 10 : 9811529094 ISBN 13 : 9789811529092
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 235,32
Quantité disponible : 2 disponible(s)
Ajouter au panierHardcover. Etat : Brand New. 275 pages. 9.75x6.50x0.75 inches. In Stock.
Langue: anglais
Edité par Springer Verlag, Singapore, SG, 2020
ISBN 10 : 9811529094 ISBN 13 : 9789811529092
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 182,48
Quantité disponible : Plus de 20 disponibles
Ajouter au panierHardback. Etat : New. 2020 ed.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
EUR 126,26
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : new. Questo è un articolo print on demand.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
EUR 126,26
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : new. Questo è un articolo print on demand.
Langue: anglais
Edité par Springer Nature Singapore Mai 2021, 2021
ISBN 10 : 9811529124 ISBN 13 : 9789811529122
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 160,49
Quantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problems with its learning models, and first-order optimization algorithms are the mainstream approaches. The acceleration of first-order optimization algorithms is crucial for the efficiency of machine learning.Written by leading experts in the field, this book provides a comprehensive introduction to, and state-of-the-art review of accelerated first-order optimization algorithms for machine learning. It discusses a variety of methods, including deterministic and stochastic algorithms, where thealgorithms can be synchronous or asynchronous, for unconstrained and constrained problems, which can be convex or non-convex. Offering a rich blend of ideas, theories and proofs, the book is up-to-date and self-contained. It is an excellent reference resource for users who are seeking faster optimization algorithms, as well asfor graduate students and researchers wanting to grasp the frontiers of optimization in machine learning in a short time. 275 pp. Englisch.
Langue: anglais
Edité par Springer Nature Singapore Mai 2020, 2020
ISBN 10 : 9811529094 ISBN 13 : 9789811529092
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 160,49
Quantité disponible : 2 disponible(s)
Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problems with its learning models, and first-order optimization algorithms are the mainstream approaches. The acceleration of first-order optimization algorithms is crucial for the efficiency of machine learning.Written by leading experts in the field, this book provides a comprehensive introduction to, and state-of-the-art review of accelerated first-order optimization algorithms for machine learning. It discusses a variety of methods, including deterministic and stochastic algorithms, where thealgorithms can be synchronous or asynchronous, for unconstrained and constrained problems, which can be convex or non-convex. Offering a rich blend of ideas, theories and proofs, the book is up-to-date and self-contained. It is an excellent reference resource for users who are seeking faster optimization algorithms, as well asfor graduate students and researchers wanting to grasp the frontiers of optimization in machine learning in a short time. 300 pp. Englisch.
Vendeur : moluna, Greven, Allemagne
EUR 136,16
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first monograph on accelerated first-order optimization algorithms used in machine learningIncludes forewords by Michael I. Jordan, Zongben Xu, and Zhi-Quan Luo, and written by experts on machine learning and optimization.
Langue: anglais
Edité par Springer, Berlin|Springer Nature Singapore|Springer, 2021
ISBN 10 : 9811529124 ISBN 13 : 9789811529122
Vendeur : moluna, Greven, Allemagne
EUR 137,26
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The acceleration of first-order optimization algorithms is crucial for the efficiency of machine learning.Written by leading experts in the field, this book provides a comprehensive introduction to, and state-of-the-art review of accelerated first-order opt.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 218,16
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. Print on Demand.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 219,01
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. Print on Demand.
Langue: anglais
Edité par Springer Nature Singapore, Springer Nature Singapore Mai 2020, 2020
ISBN 10 : 9811529094 ISBN 13 : 9789811529092
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 160,49
Quantité disponible : 1 disponible(s)
Ajouter au panierBuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problems with its learning models, and first-order optimization algorithms are the mainstream approaches. The acceleration of first-order optimization algorithms is crucial for the efficiency of machine learning.Written by leading experts in the field, this book provides a comprehensive introduction to, and state-of-the-art review of accelerated first-order optimization algorithms for machine learning. It discusses a variety of methods, including deterministic and stochastic algorithms, where the algorithms can be synchronous or asynchronous, for unconstrained and constrained problems, which can be convex or non-convex. Offering a rich blend of ideas, theories and proofs, the book is up-to-date and self-contained. It is an excellent reference resource for users who are seeking faster optimization algorithms, as well asfor graduate students and researchers wanting to grasp the frontiers of optimization in machine learning in a short time.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 300 pp. Englisch.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 219,45
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. PRINT ON DEMAND.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 220,58
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. PRINT ON DEMAND.