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Industrial Applications of Machine Learning
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kr 66
Industrial Applications of Machine Learning

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


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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


Produktdetaljer
Sprog: Engelsk
Sider: 336
ISBN-13: 9780367656874
Indbinding: Paperback
Udgave:
ISBN-10: 0367656876
Udg. Dato: 30 sep 2020
Længde: 30mm
Bredde: 155mm
Højde: 232mm
Oplagsdato: 30 sep 2020
Forfatter(e) Javier Diaz-Rozo, David Atienza, Pedro Larranaga, Alberto Ogbechie, Concha Bielza, Carlos Esteban Puerto-Santana


Kategori Automatisk styrings- & reguleringsteknik


Sprog Engelsk


Indbinding Paperback


Sider 336


Udgave


Længde 30mm


Bredde 155mm


Højde 232mm


Udg. Dato 30 sep 2020


Oplagsdato 30 sep 2020

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