
Industrial Applications of Machine Learning
CRC Press
1st Edition
Published on 30. September 2020
Book
Paperback/Softback
348 pages
978-0-367-65687-4 (ISBN)
Description
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
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
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional Practice & Development
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 19 mm
Weight
529 gr
ISBN-13
978-0-367-65687-4 (9780367656874)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Pedro Larranaga | David Atienza | Javier Diaz-Rozo
Industrial Applications of Machine Learning
E-Book
12/2018
1st Edition
CRC Press
€52.49
Available for download

Pedro Larranaga | David Atienza | Javier Diaz-Rozo
Industrial Applications of Machine Learning
E-Book
12/2018
1st Edition
CRC Press
€52.49
Available for download

Pedro Larranaga | David Atienza | Javier Diaz-Rozo
Industrial Applications of Machine Learning
Book
12/2018
1st Edition
CRC Press
€166.50
Shipment within 15-20 days
Persons
Pedro Larranaga, David Atienza, Javier Diaz-Rozo, Alberto Ogbechie, Carlos Esteban Puerto-Santana, Concha Bielza
Author
Universidad Politecnica de Madrid, Spain
Universidad Politecnica de Madrid, Spain
Aingura IIoT and Universidad Politecnica de Madrid, Spain
Universidad Politecnica de Madrid, Spain
Universidad Politecnica de Madrid, Spain
Universidad Politecnica de Madrid, Spain
Content
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
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