Machine Learning Algorithms for Industrial Applications

Machine Learning Algorithms for Industrial Applications

Author
Santosh Kumar Das, Shom Prasad Das, Nilanjan Dey, Aboul-Ella Hassanien
Publisher
Springer International Publishing;Springer
Language
English
Edition
1st ed.
Year
2021
Page
XVII, 315
ISBN
9783030506407,9783030506414
File Type
pdf
File Size
13.8 MiB

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.

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