Industrial Applications of Machine Learning

by Alberto Ogbechie , Carlos Esteban Puerto-Santana , Concha Bielza , David Atienza , Javier Diaz-Rozo , Pedro Larranaga

Book Details

Format Paperback / Softback

Book Series Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

ISBN-10 0367656876

ISBN-13 9780367656874

Publisher Taylor & Francis Ltd

Imprint CRC Press

Country of Manufacture GB

Country of Publication GB

Publication Date Sep 30th, 2020

Print length 348 Pages

Weight 590 grams

Dimensions 15.50 x 23.20 x 3.00 cms

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Ksh 9,150.00

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This book shows how machine learning can be applied to address real-world problems in the fourth industrial revolution and provides the required knowledge and tools to empower readers to build their own solutions based on theory and practice. The book introduces the fourth industrial revolution and its current impact on organizations and society

Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools to empower readers to build their own solutions based on theory and practice. The book introduces the fourth industrial revolution and its current impact on organizations and society. It explores machine learning fundamentals, and includes four case studies that address a real-world problem in the manufacturing or logistics domains, and approaches machine learning solutions from an application-oriented point of view. The book should be of special interest to researchers interested in real-world industrial problems.

Features

Describes the opportunities, challenges, issues, and trends offered by the fourth industrial revolution

Provides a user-friendly introduction to machine learning with examples of cutting-edge applications in different industrial sectors

Includes four case studies addressing real-world industrial problems solved with machine learning techniques

A dedicated website for the book contains the datasets of the case studies for the reader''s reproduction, enabling the groundwork for future problem-solving

Uses of three of the most widespread software and programming languages within the engineering and data science communities, namely R, Python, and Weka

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