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

Machine Learning Algorithms for Industrial Applications
Language: en
Pages: 321
Authors: Santosh Kumar Das
Categories: Technology & Engineering
Type: BOOK - Published: 2020-07-18 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topi
Machine Learning in Industry
Language: en
Pages: 202
Authors: Shubhabrata Datta
Categories: Technology & Engineering
Type: BOOK - Published: 2021-07-24 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points
Machine Learning Techniques and Industry Applications
Language: en
Pages: 327
Authors: Srivastava, Pramod Kumar
Categories: Computers
Type: BOOK - Published: 2024-04-16 - Publisher: IGI Global

DOWNLOAD EBOOK

In today's rapidly evolving world, the exponential growth of data poses a significant challenge. As data volumes increase, traditional methods of analysis and d
Machine Learning and Artificial Intelligence with Industrial Applications
Language: en
Pages: 216
Authors: Diego Carou
Categories: Technology & Engineering
Type: BOOK - Published: 2022-03-11 - Publisher: Springer Nature

DOWNLOAD EBOOK

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, expl
Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
Language: en
Pages: 446
Authors: Ramchandra Sharad Mangrulkar
Categories: Computers
Type: BOOK - Published: 2021-08-15 - Publisher: CRC Press

DOWNLOAD EBOOK

Machine learning (ML) and deep learning (DL) algorithms are invaluable resources for Industry 4.0 and allied areas and are considered as the future of computing