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![Stock image for Accelerated Optimization for Machine Learning: First-Order Algorithms [Hardcover] Lin for sale by SpringBooks](https://pictures.abebooks.com/isbn/9789811529092-us-300.jpg)
US$ 32.44
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Add to basketHardcover. Condition: Very Good. 1. Auflage. unread, some shelfwear.
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Accelerated Optimization for Machine Learning
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 179.85
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Accelerated Optimization for Machine Learning: First-Order Algorithms
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 179.85
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Accelerated Optimization for Machine Learning : First-Order Algorithms
Published by Springer Nature Singapore, 2021
ISBN 10: 9811529124 ISBN 13: 9789811529122
Language: English
US$ 191.74
Convert currencyUS$ 34.39 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: 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.
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Condition: New.
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Condition: New.
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Accelerated Optimization for Machine Learning : First-Order Algorithms
Published by Springer Nature Singapore, Springer Nature Singapore, 2020
ISBN 10: 9811529094 ISBN 13: 9789811529092
Language: English
US$ 198.59
Convert currencyUS$ 35.51 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: 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.
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Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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Accelerated Optimization for Machine Learning
Published by Springer Nature Singapore, Springer Nature Singapore Mai 2020, 2020
ISBN 10: 9811529094 ISBN 13: 9789811529092
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 188.88
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Add to basketBuch. Condition: Neu. 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.
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US$ 238.75
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Add to basketHardcover. Condition: New. New. book.
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Accelerated Optimization for Machine Learning: First-order Algorithms
Published by Springer-Nature New York Inc, 2021
ISBN 10: 9811529124 ISBN 13: 9789811529122
Language: English
US$ 270.70
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Add to basketPaperback. Condition: Brand New. 299 pages. 9.25x6.10x0.63 inches. In Stock.
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Accelerated Optimization for Machine Learning: First-Order Algorithms
Published by Springer-Nature New York Inc, 2020
ISBN 10: 9811529094 ISBN 13: 9789811529092
Language: English
US$ 273.61
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Add to basketHardcover. Condition: Brand New. 275 pages. 9.75x6.50x0.75 inches. In Stock.
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US$ 251.21
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Add to basketPaperback. Condition: New. New. book.
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Accelerated first-order optimization algorithm in machine learning(Chinese Edition)
Published by Machinery Industry Press, 2021
ISBN 10: 7111685008 ISBN 13: 9787111685005
Language: Chinese
US$ 141.92
Convert currencyUS$ 18.00 shipping from China to U.S.A.Quantity: 3 available
Add to basketpaperback. Condition: New. Paperback. Pub Date: 2021-07-01 Pages: 264 Language: Chinese Publisher: Machinery Industry Press. Machine learning is a discipline about building predictive or descriptive models from data to improve machine problem-solving capabilities.?After the model is established. an appropriate optimization algorithm is needed to solve the parameters of the model. Therefore. the optimization algorithm is an important part of machine learning.?However. traditional optimization algorithms are not complete.
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Accelerated Optimization for Machine Learning
Published by Springer Nature Singapore Mai 2021, 2021
ISBN 10: 9811529124 ISBN 13: 9789811529122
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 188.88
Convert currencyUS$ 26.28 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: 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.
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Accelerated Optimization for Machine Learning
Published by Springer Nature Singapore Mai 2020, 2020
ISBN 10: 9811529094 ISBN 13: 9789811529092
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 188.88
Convert currencyUS$ 26.28 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: 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.
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US$ 160.25
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Add to basketCondition: 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.
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Accelerated Optimization for Machine Learning
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2021
ISBN 10: 9811529124 ISBN 13: 9789811529122
Language: English
US$ 161.55
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Add to basketCondition: 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.
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