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(Ebook) Industrial Applications of Machine Learning by Pedro Larrañaga, David Atienza, Javier Diaz-Rozo, Alberto Ogbechie, Carlos Esteban Puerto-Santana, Concha Bielza ISBN 9780815356226, 0815356226

  • SKU: EBN-10004416
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Authors:Pedro Larrañaga, David Atienza, Javier Diaz-Rozo, Alberto Ogbechie, Carlos Esteban Puerto-Santana, Concha Bielza
Pages:350 pages.
Year:2018
Editon:Hardcover
Publisher:CRC Press
Language:english
File Size:22.79 MB
Format:pdf
ISBNS:9780815356226, 0815356226
Categories: Ebooks

Product desciption

(Ebook) Industrial Applications of Machine Learning by Pedro Larrañaga, David Atienza, Javier Diaz-Rozo, Alberto Ogbechie, Carlos Esteban Puerto-Santana, Concha Bielza ISBN 9780815356226, 0815356226

Industrial Applications of Machine Learningshows 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.FeaturesDescribes the opportunities, challenges, issues, and trends offered by the fourth industrial revolutionProvides a user-friendly introduction to machine learning with examples of cutting-edge applications in different industrial sectorsIncludes four case studies addressing real-world industrial problems solved with machine learning techniquesA dedicated website for the book contains the datasets of the case studies for the reader's reproduction, enabling the groundwork for future problem-solvingUses 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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