Buch, Englisch, 348 Seiten, Format (B × H): 232 mm x 155 mm, Gewicht: 590 g
Reihe: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Buch, Englisch, 348 Seiten, Format (B × H): 232 mm x 155 mm, Gewicht: 590 g
Reihe: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
ISBN: 978-0-367-65687-4
Verlag: Taylor & Francis Ltd
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
Zielgruppe
Professional Practice & Development
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsstatistik, Demographie
Weitere Infos & Material
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