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Machine learning and artificial intelligence with industrial applicationsfrom big data to small data /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning and artificial intelligence with industrial applicationsedited by Diego Carou, Antonio Sartal, J. Paulo Davim.
其他題名:	from big data to small data /
其他作者:	Carou, Diego.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	ix, 211 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Machine learningIndustrial applications.
電子資源:	https://doi.org/10.1007/978-3-030-91006-8
ISBN:	9783030910068$q(electronic bk.)

Machine learning and artificial intelligence with industrial applicationsfrom big data to small data /
Machine learning and artificial intelligence with industrial applicationsfrom big data to small data /[electronic resource] :edited by Diego Carou, Antonio Sartal, J. Paulo Davim. - Cham :Springer International Publishing :2022. - ix, 211 p. :ill., digital ;24 cm. - Management and industrial engineering,2365-0540. - Management and industrial engineering..

A Note on Big Data and Value Creation -- Modern Machine Learning: Applications and Methods -- Decision Support System Based on Deep Learning for Improving The Quality Control Task of Rifles: A Case Study In Industry 4.0 -- Title: Ml & Ai Application for The Automotive Industry -- Application of Machine Learning and Big-Data Techniques to Quality Control and Food Safety In The Industrial Production of Food and Beverages.

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.

ISBN: 9783030910068$q(electronic bk.)

Standard No.: 10.1007/978-3-030-91006-8doiSubjects--Topical Terms:

529947
Machine learning
--Industrial applications.

LC Class. No.: Q325.5 / .M33 2022

Dewey Class. No.: 006.31

Machine learning and artificial intelligence with industrial applicationsfrom big data to small data /
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520 $a 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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