Machine Learning and Artificial Intelligence with Industrial Applications: From Big Data to Small Data

This book provides an introduction to machine learning (ML) tools and their benefits in facilities, focusing on real-life business applications. It explains popular algorithms easily and clearly, with case studies demonstrating their impact on various industries. It also shows how AI and ML can be applied in industrial settings, even for SMEs, and how organizations can benefit from using these tools.

Format: Hardback
Length: 211 pages
Publication date: 12 March 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the realm of machine learning (ML) and highlights the invaluable benefits of utilizing these tools in various facilities. It specifically focuses on real-life business applications, presenting the most popular algorithms in a straightforward and easily understandable manner, devoid of the complexities of calculus or matrix/vector algebra. Encompassed with numerous case studies, this book equips readers with a practical understanding of ML's current and future capabilities, as well as the profound impact it will have on every industry. Moreover, it showcases that successful ML and AI projects can be executed in any manufacturing plant, even without fully meeting the stringent requirements typically associated with big data. By examining the interplay between AI and ML in industrial settings, this book offers valuable insights on how SMEs can adapt and utilize some of the standard tips and techniques commonly employed in big data projects for their specific needs. Recognizing the significance of these tools, organizations that grasp their usage and apply them effectively will gain a competitive edge over their rivals.

Weight: 506g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030910051
Edition number: 1st ed. 2022