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Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 0367612550 ISBN 13: 9780367612559
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Paperback. Condition: new. Paperback. Machine Learning (ML) is a sub field of artificial intelligence that uses soft computing and algorithms to enable computers to learn on their own and identify patterns in observed data, build models that explain the world, and predict things without having explicit pre-programmed rules and models. This book discusses various applications of ML in engineering fields and the use of ML algorithms in solving challenging engineering problems ranging from biomedical, transport, supply chain and logistics, to manufacturing and industrial. Through numerous case studies, it will assist researchers and practitioners in selecting the correct options and strategies for managing organizational tasks. Discusses various applications of ML in engineering fields and the use of ML algorithms in solving challenging engineering problems ranging from biomedical to manufacturing and industrial. Through numerous case studies, it will assist researchers and practitioners in selecting the correct options and strategies for managing organizational tasks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Add to basketPaperback. Condition: Brand New. 328 pages. 9.18x6.12x9.21 inches. In Stock.
Published by Taylor & Francis Ltd, London, 2025
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Language: English
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Add to basketPaperback. Condition: new. Paperback. Machine Learning (ML) is a sub field of artificial intelligence that uses soft computing and algorithms to enable computers to learn on their own and identify patterns in observed data, build models that explain the world, and predict things without having explicit pre-programmed rules and models. This book discusses various applications of ML in engineering fields and the use of ML algorithms in solving challenging engineering problems ranging from biomedical, transport, supply chain and logistics, to manufacturing and industrial. Through numerous case studies, it will assist researchers and practitioners in selecting the correct options and strategies for managing organizational tasks. Discusses various applications of ML in engineering fields and the use of ML algorithms in solving challenging engineering problems ranging from biomedical to manufacturing and industrial. Through numerous case studies, it will assist researchers and practitioners in selecting the correct options and strategies for managing organizational tasks. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Add to basketTaschenbuch. Condition: Neu. Neuware - Discusses various applications of ML in engineering fields and the use of ML algorithms in solving challenging engineering problems ranging from biomedical to manufacturing and industrial. Through numerous case studies, it will assist researchers and practitioners in selecting the correct options and strategies for managing organizational tasks.
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 0367612550 ISBN 13: 9780367612559
Language: English
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Add to basketPaperback. Condition: new. Paperback. Machine Learning (ML) is a sub field of artificial intelligence that uses soft computing and algorithms to enable computers to learn on their own and identify patterns in observed data, build models that explain the world, and predict things without having explicit pre-programmed rules and models. This book discusses various applications of ML in engineering fields and the use of ML algorithms in solving challenging engineering problems ranging from biomedical, transport, supply chain and logistics, to manufacturing and industrial. Through numerous case studies, it will assist researchers and practitioners in selecting the correct options and strategies for managing organizational tasks. Discusses various applications of ML in engineering fields and the use of ML algorithms in solving challenging engineering problems ranging from biomedical to manufacturing and industrial. Through numerous case studies, it will assist researchers and practitioners in selecting the correct options and strategies for managing organizational tasks. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Published by TAYLOR & FRANCIS NP EXCLUSIVE(CBS), 2023
ISBN 10: 0367569124 ISBN 13: 9780367569129
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Published by TAYLOR & FRANCIS NP EXCLUSIVE(CBS), 2023
ISBN 10: 0367569124 ISBN 13: 9780367569129
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ISBN 10: 0367569124 ISBN 13: 9780367569129
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days. 185.
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Add to basketHardcover. Condition: Brand New. 304 pages. 9.19x6.13x0.87 inches. In Stock.
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Add to basketHardcover. Condition: Brand New. 304 pages. 9.19x6.13x0.87 inches. In Stock. This item is printed on demand.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Prasenjit Chatterjee is an Associate Professor of Mechanical Engineering Department at MCKV Institute of Engineering, India. He has published over 80 research papers in various international journals and has received numerous awards including Outstanding.