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Deep Learning Applications in Operations Research (Advances in Computational Collective Intelligence)
Published by Auerbach Publications, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Language: English
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Fine.
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Novel Financial Applications of Machine Learning and Deep Learning: Algorithms, Product Modeling, and Applications (International Series in Operations Research & Management Science, 336)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 200.62
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Condition: New.
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Deep Learning Applications in Operations Research (Advances in Computational Collective Intelligence)
Published by Auerbach Publications, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Language: English
Condition: New. SUPER FAST SHIPPING.
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Condition: New. 2023rd edition NO-PA16APR2015-KAP.
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Deep Learning Applications in Operations Research
Published by Auerbach Publications, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Language: English
US$ 278.50
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Deep Learning Applications in Operations Research (Advances in Computational Collective Intelligence)
Published by Auerbach Publications, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Language: English
Condition: New. 1st edition NO-PA16APR2015-KAP.
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Deep Learning Applications in Operations Research (Advances in Computational Collective Intelligence)
Published by Auerbach Publications, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Language: English
US$ 277.90
Convert currencyUS$ 8.78 shipping from United Kingdom to U.S.A.Quantity: 3 available
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Deep Learning Applications in Operations Research
Published by Auerbach Publications, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 294.94
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Deep Learning Applications in Operations Research (Hardcover)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Language: English
Hardcover. Condition: new. Hardcover. The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology. Deep Learning Applications in Operations Research presents the varied applications of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomenon. Such fields as object classification, speech recognition, and face detection have sought extensive applications of artificial intelligence (AI) and machine learning as well. The application of AI and ML has also become increasingly common in the domains of agriculture, health sectors, and insurance.Operations research is the branch of mathematics used to perform many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects to aid in decision making. Arriving at the proper decision depends on a number of factors; this book examines how AI and ML can be used to model equations and define constraints to solve problems more easily and discover proper and valid solutions. This book also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost. Case studies examine how to streamline operations and unearth data to make better business decisions. The concepts presented in this book can bring about and guide unique research directions to the future application of AI-enabled technologies. The book delves into how to apply deep learning to areas of operations research. The book focuses on decision modeling and model optimization and features case studies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Deep Learning Applications in Operations Research
Published by Auerbach Publications, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Language: English
US$ 308.68
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Deep Learning Applications in Operations Research (Advances in Computational Collective Intelligence)
Published by Auerbach Publications, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 315.05
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Deep Learning Applications in Operations Research (Hardcover)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Language: English
US$ 303.50
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology. Deep Learning Applications in Operations Research presents the varied applications of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomenon. Such fields as object classification, speech recognition, and face detection have sought extensive applications of artificial intelligence (AI) and machine learning as well. The application of AI and ML has also become increasingly common in the domains of agriculture, health sectors, and insurance.Operations research is the branch of mathematics used to perform many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects to aid in decision making. Arriving at the proper decision depends on a number of factors; this book examines how AI and ML can be used to model equations and define constraints to solve problems more easily and discover proper and valid solutions. This book also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost. Case studies examine how to streamline operations and unearth data to make better business decisions. The concepts presented in this book can bring about and guide unique research directions to the future application of AI-enabled technologies. The book delves into how to apply deep learning to areas of operations research. The book focuses on decision modeling and model optimization and features case studies. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Deep Learning Applications in Operations Research
Published by Auerbach Publications, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 325.71
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Deep Learning Applications in Operations Research (Hardcover)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Language: English
US$ 329.89
Convert currencyUS$ 50.00 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology. Deep Learning Applications in Operations Research presents the varied applications of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomenon. Such fields as object classification, speech recognition, and face detection have sought extensive applications of artificial intelligence (AI) and machine learning as well. The application of AI and ML has also become increasingly common in the domains of agriculture, health sectors, and insurance.Operations research is the branch of mathematics used to perform many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects to aid in decision making. Arriving at the proper decision depends on a number of factors; this book examines how AI and ML can be used to model equations and define constraints to solve problems more easily and discover proper and valid solutions. This book also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost. Case studies examine how to streamline operations and unearth data to make better business decisions. The concepts presented in this book can bring about and guide unique research directions to the future application of AI-enabled technologies. The book delves into how to apply deep learning to areas of operations research. The book focuses on decision modeling and model optimization and features case studies. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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US$ 399.76
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Add to basketHardcover. Condition: Brand New. 320 pages. 10.00x7.00x10.00 inches. In Stock.
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US$ 271.76
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US$ 298.89
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US$ 257.37
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Biswadip Basu Mallik is a Senior Assistant Professor of Mathematics in the Department of Basic Sciences & Humanities at Institute of Engineering & Management, Kolkata, India.Gunjan Mukherjee is an Assistant professor in the D.
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Deep Learning Applications in Operations Research (Advances in Computational Collective Intelligence)
Published by Auerbach Publications, 2024
ISBN 10: 1032708026 ISBN 13: 9781032708027
Language: English
US$ 317.74
Convert currencyUS$ 11.74 shipping from Germany to U.S.A.Quantity: 4 available
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