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Data science, predictive analytics, machine learning, artificial intelligence and general approaches to modelling, simulating and visualising industrial systems have often been considered topics only for research labs and academic departments.
This textbook debunks the mystique around applied data science and shows readers, using tutorial-style explanations and real-life case studies, how practitioners can develop their own understanding of performance to achieve tangible business improvements. All exercises can be completed with commonly available tools, many of which are free to install and use.
Readers will learn how to use tools to investigate, diagnose, propose and implement analytics solutions that will provide explainable results to deliver digital transformation.
Data science, predictive analytics, machine learning, artificial intelligence and general approaches to modelling, simulating and visualising industrial systems have often been considered topics only for research labs and academic departments.
This textbook debunks the mystique around applied data science and shows readers, using tutorial-style explanations and real-life case studies, how practitioners can develop their own understanding of performance to achieve tangible business improvements. All exercises can be completed with commonly available tools, many of which are free to install and use.
Readers will learn how to use tools to investigate, diagnose, propose and implement analytics solutions that will provide explainable results to deliver digital transformation.
Dr. Richard Hill is Professor of Intelligent Systems, Head of the Department of Computer Science, and the Director of the Centre for Industrial Analytics at the University of Huddersfield, UK. His other publications include the Springer titles Guide to Vulnerability Analysis for Computer Networks and Systems, Guide to Security in SDN and NFV, Guide to Security Assurance for Cloud Computing, Big-Data Analytics and Cloud Computing, Guide to Cloud Computing, and Cloud Computing for Enterprise Architectures.
Dr. Stuart Berry is Emeritus Fellow in the Department of Computing and Mathematics at the University of Derby, UK. His other publications include the Springer title Guide to Computational Modelling for Decision Processes.
Describes data science techniques for solving problems in manufacturing and the Industrial Internet of Things
Presents case study examples using commonly available software to solve real-world problems
Empowers a practical understanding of essential modeling and analytics skills for system-oriented problem solving
| Medium: | Buch |
|---|---|
| Seiten: | 300 |
| Reihe: | Texts in Computer Science |
| Inhalt: |
xxv
275 S. 64 s/w Illustr. 108 farbige Illustr. 275 p. 172 illus. 108 illus. in color. |
| ISBN-13: | 9783030791032 |
| ISBN-10: | 3030791033 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | HC runder Rücken kaschiert |
| Einband: | Gebunden |
| Autor: |
Berry, Stuart
Hill, Richard |
| Auflage: | 1st ed. 2021 |
| Hersteller: |
Springer International Publishing
Texts in Computer Science |
| Maße: | 241 x 160 x 22 mm |
| Von/Mit: | Stuart Berry (u. a.) |
| Erscheinungsdatum: | 28.09.2021 |
| Gewicht: | 0,617 kg |
Dr. Richard Hill is Professor of Intelligent Systems, Head of the Department of Computer Science, and the Director of the Centre for Industrial Analytics at the University of Huddersfield, UK. His other publications include the Springer titles Guide to Vulnerability Analysis for Computer Networks and Systems, Guide to Security in SDN and NFV, Guide to Security Assurance for Cloud Computing, Big-Data Analytics and Cloud Computing, Guide to Cloud Computing, and Cloud Computing for Enterprise Architectures.
Dr. Stuart Berry is Emeritus Fellow in the Department of Computing and Mathematics at the University of Derby, UK. His other publications include the Springer title Guide to Computational Modelling for Decision Processes.
Describes data science techniques for solving problems in manufacturing and the Industrial Internet of Things
Presents case study examples using commonly available software to solve real-world problems
Empowers a practical understanding of essential modeling and analytics skills for system-oriented problem solving
| Medium: | Buch |
|---|---|
| Seiten: | 300 |
| Reihe: | Texts in Computer Science |
| Inhalt: |
xxv
275 S. 64 s/w Illustr. 108 farbige Illustr. 275 p. 172 illus. 108 illus. in color. |
| ISBN-13: | 9783030791032 |
| ISBN-10: | 3030791033 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | HC runder Rücken kaschiert |
| Einband: | Gebunden |
| Autor: |
Berry, Stuart
Hill, Richard |
| Auflage: | 1st ed. 2021 |
| Hersteller: |
Springer International Publishing
Texts in Computer Science |
| Maße: | 241 x 160 x 22 mm |
| Von/Mit: | Stuart Berry (u. a.) |
| Erscheinungsdatum: | 28.09.2021 |
| Gewicht: | 0,617 kg |
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