TY  - BOOK
AU  - Larrañaga,Pedro
AU  - Atienza,David
AU  - Diaz-Rozo,Javier
AU  - Ogbechie,Alberto
AU  - Puerto-Santana,Carlos Esteban
AU  - Bielza,Concha
ED  - Taylor and Francis.
TI  - Industrial Applications of Machine Learning
T2  - Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
SN  - 9781351128384(e-book : PDF)
AV  - Q325.5 
U1  - 006.3/1 23
PY  - 2018///]
CY  - Boca Raton, FL
PB  - CRC Press
KW  - Machine learning
KW  - Industrial applications
KW  - COMPUTERS / Database Management / Data Mining
KW  - bisacsh
KW  - COMPUTERS / Machine Theory
KW  - artificial intelligence
KW  - big data
KW  - data science
KW  - fourth industrial revoluntion
KW  - programming
KW  - Electronic books
N1  - 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; Also available in print format
N2  - 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
UR  - https://www.taylorfrancis.com/books/9781351128384
ER  -