Industrial Applications of Machine Learning

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

List of contents

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

About the author

Pedro Larrañaga, David Atienza, Javier Diaz-Rozo, Alberto Ogbechie, Carlos Esteban Puerto-Santana, Concha Bielza

Product details

• Authors: David Atienza, Atienza David, Concha Bielza, Bielza Concha, Javie Diaz-Rozo, Javier Diaz-Rozo, Pedro Larranaga, Pedro Larrañaga, Alberto Ogbechie, Carlos Esteban Puerto-Santana
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 30.09.2020
• EAN: 9780367656874
• ISBN: 978-0-367-65687-4
• No. of pages: 336
• Dimensions: 153 mm x 235 mm x 12 mm
• Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series; Print on Demand
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing; machine learning, BUSINESS & ECONOMICS / Statistics, COMPUTERS / Programming / Games, COMPUTERS / Machine Theory, Probability & statistics, Automatic control engineering, Databases, Probability and statistics, COMPUTERS / Data Science / Data Analytics