04000nam a2200601Ii 4500 9781351128384 FlBoTFG 20260210180906.0 m o d cr 190122t20182019fluab ob 001 0 eng d 9781351128384(e-book : PDF) (OCoLC)1078875107 FlBoTFG FlBoTFG rda Q325.5 BUS 061000 bisacsh COM 021030 bisacsh COM 037000 bisacsh UN bicscc 006.3/1 23 Larrañaga, Pedro, author. Industrial Applications of Machine Learning / by Pedro Larrañaga, David Atienza, Javier Diaz-Rozo, Alberto Ogbechie, Carlos Esteban Puerto-Santana and Concha Bielza. First edition. Boca Raton, FL : CRC Press, [2018]. ©2019. 1 online resource (350 pages) : 148 illustrations, text file, PDF. text rdacontent computer rdamedia online resource rdacarrier Chapman & Hall/CRC Data Mining and Knowledge Discovery Series Includes bibliographical references and index. 1 The Fourth Industrial Revolution 2 Machine Learning 3 Applications of Machine Learning in Industrial Sectors 4 Component-Level Case Study: Remaining Useful Life of Bearings 5 Machine-Level Case Study: Fingerprint of Industrial Motors 6 Production-Level Case Study: Automated Visual Inspection of a Laser Process 7 Distribution-Level Case Study: Forecasting of Air Freight Delays. 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. Also available in print format. Machine learning Industrial applications. COMPUTERS / Database Management / Data Mining. bisacsh COMPUTERS / Machine Theory. bisacsh artificial intelligence. bisacsh 1228 big data. bisacsh data science. bisacsh fourth industrial revoluntion. bisacsh programming. bisacsh 3244 Electronic books. Atienza, David, author. Diaz-Rozo, Javier, author. Ogbechie, Alberto, author. Puerto-Santana, Carlos Esteban , author. Bielza, Concha, author. Taylor and Francis. Print version: 9780815356226 Chapman & Hall/CRC Data Mining and Knowledge Discovery Series. https://www.taylorfrancis.com/books/9781351128384 Click here to view 93670 93669