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Guide to Industrial Analytics

- Solving Data Science Problems for Manufacturing and the Internet of Things
Af: Stuart Berry, Richard Hill Engelsk Paperback

Guide to Industrial Analytics

- Solving Data Science Problems for Manufacturing and the Internet of Things
Af: Stuart Berry, Richard Hill Engelsk Paperback
Tjek vores konkurrenters priser

This textbook describes the hands-on application of data science techniques to solve problems in manufacturing and the Industrial Internet of Things (IIoT). Monitoring and managing operational performance is a crucial activity for industrial and business organisations. The emergence of low-cost, accessible computing and storage, through Industrial Digital Technologies (IDT) and Industry 4.0, has generated considerable interest in innovative approaches to doing more with data.

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.


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This textbook describes the hands-on application of data science techniques to solve problems in manufacturing and the Industrial Internet of Things (IIoT). Monitoring and managing operational performance is a crucial activity for industrial and business organisations. The emergence of low-cost, accessible computing and storage, through Industrial Digital Technologies (IDT) and Industry 4.0, has generated considerable interest in innovative approaches to doing more with data.

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.


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Produktdetaljer
Sprog: Engelsk
Sider: 275
ISBN-13: 9783030791063
Indbinding: Paperback
Udgave:
ISBN-10: 3030791068
Kategori: Machine learning
Udg. Dato: 29 sep 2022
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 29 sep 2022
Forfatter(e): Stuart Berry, Richard Hill
Forfatter(e) Stuart Berry, Richard Hill

Kategori Machine learning

ISBN-13 9783030791063

Sprog Engelsk

Indbinding Paperback

Sider 275

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 29 sep 2022

Oplagsdato 29 sep 2022

Forlag Springer Nature Switzerland AG

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