Machine Learning and Artificial Intelligence with Industrial Applications
From Big Data to Small Data
This book presents the tools used in machine learning (ML) and the benefits of using such tools in facilities. It focus on real life business applications, explaining the most popular algorithms easily and clearly without the use of calculus or matrix/vector algebra. Replete with case studies, this book provides a working knowledge of ML current and future capabilities and the impact it will have on every business. It demonstrates that it is also possible to carry out successful ML and AI projects in any manufacturing plant, even without fully fulfilling the five V (Volume, Velocity, Variety, Veracity and Value) usually associated with big da…
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Produktdetails
Weitere Autoren: Davim, J. Paulo (Hrsg.) / Sartal, Antonio (Hrsg.)
- ISBN: 978-3-030-91005-1
- EAN: 9783030910051
- Produktnummer: 38543995
- Verlag: Springer International Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2022
- Seitenangabe: 224 S.
- Masse: H24.1 cm x B16.0 cm x D1.8 cm 506 g
- Auflage: 1st ed. 2022
- Abbildungen: HC runder Rücken kaschiert
- Gewicht: 506
Über den Autor
Diego Carou is an Assistant Professor at the Univeristy of Vigo. He received his PhD degree in industrial engineering from the National University of Distance Education (UNED) in 2013. He has international postdoctoral experience in manufacturing process at several European universities. His interests include Industry 4.0, manufacturing and sustainability. Antonio Sartal is a distinguished researcher in the Department of Business Management and Marketing at the University of Vigo, Spain. He managed the Department of R&D of a food multinational for the past ten years, until he joined REDE, a multidisciplinary research group working on technology management and organizational innovation. His research interests include the intersection of lean thinking, innovation management and Industry 4.0 technologies. J. Paulo Davim is a Full Professor at the University of Aveiro, Portugal. He is also distinguished as honorary professor in several universities/colleges in China, India and Spain. He has more than 30 years of teaching and research experience in Manufacturing, Materials, Mechanical and Industrial Engineering, with special emphasis in Machining & Tribology. He has also interest in Management, Engineering Education and Higher Education for Sustainability.
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