Machine Learning and Artificial Intelligence with Industrial Applications : From Big Data to Small Data
2022 ed.
Book Details
Format
Paperback / Softback
Book Series
Management and Industrial Engineering
ISBN-10
3030910083
ISBN-13
9783030910082
Edition
2022 ed.
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
15.50 x 23.40 x 1.50 cms
Product Classification:
Production engineeringMachine learning
Ksh 25,200.00
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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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