Optimization and machine learning: optimization for machine learning and machine learning for optimization
Machine learning and optimization techniques are revolutionizing our world. Other types of information technology have not progressed as rapidly in recent years, in terms of real impact. The aim of this book is to present some of the innovative techniques in the field of optimization and machine lea...
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| Other Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
London, UK Hoboken, NJ
ISTE, Ltd.
2022
London, UK Hoboken, NJ Wiley 2022 |
| Series: | Sciences. Computer science. Operational research and decision
|
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781789450712/?ar |
| Summary: | Machine learning and optimization techniques are revolutionizing our world. Other types of information technology have not progressed as rapidly in recent years, in terms of real impact. The aim of this book is to present some of the innovative techniques in the field of optimization and machine learning, and to demonstrate how to apply them in the fields of engineering. Optimization and Machine Learning presents modern advances in the selection, configuration and engineering of algorithms that rely on machine learning and optimization. The first part of the book is dedicated to applications where optimization plays a major role, and the second part describes and implements several applications that are mainly based on machine learning techniques. The methods addressed in these chapters are compared against their competitors, and their effectiveness in their chosen field of application is illustrated. |
| Item Description: | Includes bibliographical references and index. - Online resource; title from PDF title page (John Wiley, viewed March 3, 2022) |
| Physical Description: | 1 Online-Ressource. |
| ISBN: | 9781119902881 1119902886 9781119902874 1119902878 9781789450712 |
Staff View
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| illustrated | Not Illustrated |
| indexdate | 2025-04-10T09:35:01Z |
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| isbn | 9781119902881 1119902886 9781119902874 1119902878 9781789450712 |
| language | English |
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| series2 | Sciences. Computer science. Operational research and decision |
| spelling | Optimization and machine learning optimization for machine learning and machine learning for optimization coordinated by Rachid Chelouah, Patrick Siarry London, UK Hoboken, NJ ISTE, Ltd. 2022 London, UK Hoboken, NJ Wiley 2022 1 Online-Ressource. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Sciences. Computer science. Operational research and decision Includes bibliographical references and index. - Online resource; title from PDF title page (John Wiley, viewed March 3, 2022) Machine learning and optimization techniques are revolutionizing our world. Other types of information technology have not progressed as rapidly in recent years, in terms of real impact. The aim of this book is to present some of the innovative techniques in the field of optimization and machine learning, and to demonstrate how to apply them in the fields of engineering. Optimization and Machine Learning presents modern advances in the selection, configuration and engineering of algorithms that rely on machine learning and optimization. The first part of the book is dedicated to applications where optimization plays a major role, and the second part describes and implements several applications that are mainly based on machine learning techniques. The methods addressed in these chapters are compared against their competitors, and their effectiveness in their chosen field of application is illustrated. Machine learning Mathematical optimization Apprentissage automatique Optimisation mathématique Chelouah, Rachid HerausgeberIn edt Siarry, Patrick HerausgeberIn edt 1789450713 Erscheint auch als Druck-Ausgabe 1789450713 |
| spellingShingle | Optimization and machine learning optimization for machine learning and machine learning for optimization Machine learning Mathematical optimization Apprentissage automatique Optimisation mathématique |
| title | Optimization and machine learning optimization for machine learning and machine learning for optimization |
| title_auth | Optimization and machine learning optimization for machine learning and machine learning for optimization |
| title_exact_search | Optimization and machine learning optimization for machine learning and machine learning for optimization |
| title_full | Optimization and machine learning optimization for machine learning and machine learning for optimization coordinated by Rachid Chelouah, Patrick Siarry |
| title_fullStr | Optimization and machine learning optimization for machine learning and machine learning for optimization coordinated by Rachid Chelouah, Patrick Siarry |
| title_full_unstemmed | Optimization and machine learning optimization for machine learning and machine learning for optimization coordinated by Rachid Chelouah, Patrick Siarry |
| title_short | Optimization and machine learning |
| title_sort | optimization and machine learning optimization for machine learning and machine learning for optimization |
| title_sub | optimization for machine learning and machine learning for optimization |
| topic | Machine learning Mathematical optimization Apprentissage automatique Optimisation mathématique |
| topic_facet | Machine learning Mathematical optimization Apprentissage automatique Optimisation mathématique |
| work_keys_str_mv | AT chelouahrachid optimizationandmachinelearningoptimizationformachinelearningandmachinelearningforoptimization AT siarrypatrick optimizationandmachinelearningoptimizationformachinelearningandmachinelearningforoptimization |