Machine learning algorithms for industrial applications /

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Bibliographic Details
Imprint:Cham : Springer, [2021].
Description:1 online resource
Language:English
Series:Studies in computational intelligence, 1860-949X ; v. 907
Studies in computational intelligence ; 907.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12606909
Hidden Bibliographic Details
Other authors / contributors:Das, Santosh Kumar.
Das, Shom Prasad.
Dey, Nilanjan, 1984-
Hassanien, Aboul Ella.
ISBN:9783030506414
303050641X
3030506401
9783030506407
9783030506421
3030506428
9783030506438
3030506436
Digital file characteristics:text file PDF
Summary:This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics. Accordingly, there is a pressing need for novel and innovative algorithms to help us find effective solutions in industrial application areas such as media, healthcare, travel, finance, and retail. In all of these areas, data is the crucial parameter, and the main key to unlocking the value of industry. The book presents a range of intelligent algorithms that can be used to filter useful information in the above-mentioned application areas and efficiently solve particular problems. Its main objective is to raise awareness for this important field among students, researchers, and industrial practitioners.
Other form:Original 3030506401 9783030506407
Standard no.:10.1007/978-3-030-50641-4
10.1007/978-3-030-50