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Ajouter au panierPaperback. Etat : Brand New. 350 pages. 9.25x6.14x0.83 inches. In Stock.
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Langue: anglais
Edité par Taylor & Francis Inc, Bosa Roca, 2018
ISBN 10 : 0815356226 ISBN 13 : 9780815356226
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Ajouter au panierHardcover. Etat : new. Hardcover. Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools to empower readers to build their own solutions based on theory and practice. The book introduces the fourth industrial revolution and its current impact on organizations and society. It explores machine learning fundamentals, and includes four case studies that address a real-world problem in the manufacturing or logistics domains, and approaches machine learning solutions from an application-oriented point of view. The book should be of special interest to researchers interested in real-world industrial problems.Features Describes the opportunities, challenges, issues, and trends offered by the fourth industrial revolution Provides a user-friendly introduction to machine learning with examples of cutting-edge applications in different industrial sectors Includes four case studies addressing real-world industrial problems solved with machine learning techniques A dedicated website for the book contains the datasets of the case studies for the reader's reproduction, enabling the groundwork for future problem-solving Uses of three of the most widespread software and programming languages within the engineering and data science communities, namely R, Python, and Weka This book shows how machine learning can be applied to address real-world problems in the fourth industrial revolution and provides the required knowledge and tools to empower readers to build their own solutions based on theory and practice. The book introduces the fourth industrial revolution and its current impact on organizations and society. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Ajouter au panierHardcover. Etat : Brand New. 344 pages. 9.50x6.50x1.00 inches. In Stock.
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Ajouter au panierGebunden. Etat : New.
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Ajouter au panierBuch. Etat : Neu. Neuware - Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools to empower readers to build their own solutions based on theory and practice. The book introduces the fourth industrial revolution and its current impact on organizations and society. It explores machine learning fundamentals, and includes four case studies that address a real-world problem in the manufacturing or logistics domains, and approaches machine learning solutions from an application-oriented point of view. The book should be of special interest to researchers interested in real-world industrial problems.Features - Describes the opportunities, challenges, issues, and trends offered by the fourth industrial revolution - Provides a user-friendly introduction to machine learning with examples of cutting-edge applications in different industrial sectors - Includes four case studies addressing real-world industrial problems solved with machine learning techniques - A dedicated website for the book contains the datasets of the case studies for the reader's reproduction, enabling the groundwork for future problem-solving - Uses of three of the most widespread software and programming languages within the engineering and data science communities, namely R, Python, and Weka.
Langue: anglais
Edité par Taylor & Francis Inc, Bosa Roca, 2018
ISBN 10 : 0815356226 ISBN 13 : 9780815356226
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 248,13
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Ajouter au panierHardcover. Etat : new. Hardcover. Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools to empower readers to build their own solutions based on theory and practice. The book introduces the fourth industrial revolution and its current impact on organizations and society. It explores machine learning fundamentals, and includes four case studies that address a real-world problem in the manufacturing or logistics domains, and approaches machine learning solutions from an application-oriented point of view. The book should be of special interest to researchers interested in real-world industrial problems.Features Describes the opportunities, challenges, issues, and trends offered by the fourth industrial revolution Provides a user-friendly introduction to machine learning with examples of cutting-edge applications in different industrial sectors Includes four case studies addressing real-world industrial problems solved with machine learning techniques A dedicated website for the book contains the datasets of the case studies for the reader's reproduction, enabling the groundwork for future problem-solving Uses of three of the most widespread software and programming languages within the engineering and data science communities, namely R, Python, and Weka This book shows how machine learning can be applied to address real-world problems in the fourth industrial revolution and provides the required knowledge and tools to empower readers to build their own solutions based on theory and practice. The book introduces the fourth industrial revolution and its current impact on organizations and society. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.