
Industrial Applications of Machine Learning
Description
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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
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Other editions
Additional editions


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Content
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
System requirements
File format: PDF
Copy-Protection: Adobe-DRM (Digital Rights Management)
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