Machine Learning Algorithms for Industrial Applications

Machine Learning Algorithms for Industrial Applications
Author :
Publisher : Springer Nature
Total Pages : 321
Release :
ISBN-10 : 9783030506414
ISBN-13 : 303050641X
Rating : 4/5 (41X Downloads)

Book Synopsis Machine Learning Algorithms for Industrial Applications by : Santosh Kumar Das

Download or read book Machine Learning Algorithms for Industrial Applications written by Santosh Kumar Das and published by Springer Nature. This book was released on 2020-07-18 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Machine Learning Algorithms for Industrial Applications Related Books