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Machine Learning and Artificial Intelligence with Industrial Applications : From Big Data to Small Data - 2022 ed.

By: (Edited by) Antonio Sartal , (Edited by) Diego Carou , (Edited by) J. Paulo Davim

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Ksh 25,200.00

Format: Paperback or Softback

ISBN-10: 3030910083

ISBN-13: 9783030910082

Edition: 2022 ed.

Series: Management and Industrial Engineering

Publisher: Springer Nature Switzerland AG

Imprint: Springer Nature Switzerland AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Mar 12th, 2023

Print length: 211 Pages

Weight: 360 grams

Dimensions (height x width x thickness): 15.50 x 23.40 x 1.50 cms

Product Classification: Production engineering
Machine learning

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This book presents the tools used in machine learning (ML) and the benefits of using such tools in facilities. This book takes a closer look at how AI and ML are also able to work for industrial area, as well as how you could adapt some of the standard tips and techniques (usually for big data) for your own needs in your SME.
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 data. This book takes a closer look at how AI and ML are also able to work for industrial area, as well as how you could adapt some of the standard tips and techniques (usually for big data) for your own needs in your SME. Organizations which first understand these tools and know how to use them will benefit at the expense of their rivals.


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