Download the fantastic book titled Machine Learning Algorithms for Industrial Applications written by Santosh Kumar Das, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Machine Learning Algorithms for Industrial Applications", which was released on 18 July 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.
Summary of Machine Learning Algorithms for Industrial Applications by Santosh Kumar Das PDF
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.
Detail About Machine Learning Algorithms for Industrial Applications PDF
- Author : Santosh Kumar Das
- Publisher : Springer Nature
- Genre : Technology & Engineering
- Total Pages : 321 pages
- ISBN : 303050641X
- Release Date : 18 July 2020
- PDF File Size : 20,7 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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