Description: Industrial Applications of Machine Learning by Alberto Ogbechie, David Atienza, Concha Bielza, Pedro LarraƱaga, Javier Diaz-Rozo, Carlos Esteban Puerto-Santana 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. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description 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 readers 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 Author Biography Pedro LarraƱaga, David Atienza, Javier Diaz-Rozo, Alberto Ogbechie, Carlos Esteban Puerto-Santana, Concha Bielza Table of Contents 1 The Fourth Industrial Revolution 2 Machine Learning 3 Applications of Machine Learning in Industrial Sectors 4 Component-Level Case Study: Remaining Useful Life of Bearings5 Machine-Level Case Study: Fingerprint of Industrial Motors 6 Production-Level Case Study: Automated Visual Inspection of a Laser Process 7 Distribution-Level Case Study: Forecasting of Air Freight Delays Details ISBN0815356226 Year 2018 ISBN-10 0815356226 ISBN-13 9780815356226 Format Hardcover Series Chapman & Hall/CRC Data Mining and Knowledge Discovery Series Imprint CRC Press Inc Place of Publication Bosa Roca Country of Publication United States Author Carlos Esteban Puerto-Santana Publisher Taylor & Francis Inc DEWEY 006.31 Pages 336 Language English Illustrations 41 Tables, black and white; 107 Illustrations, color AU Release Date 2018-12-10 NZ Release Date 2018-12-10 US Release Date 2018-12-10 Publication Date 2018-12-10 UK Release Date 2018-12-10 Alternative 9780367656874 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:135911268;
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ISBN-13: 9780815356226
Book Title: Industrial Applications of Machine Learning
Number of Pages: 336 Pages
Language: English
Publication Name: Industrial Applications of Machine Learning
Publisher: Taylor & Francis Inc
Publication Year: 2018
Subject: Computer Science
Item Height: 234 mm
Item Weight: 703 g
Type: Textbook
Author: Concha Bielza, David Atienza, Carlos Esteban Puerto-Santana, Pedro Larranaga, Javier Diaz-Rozo, Alberto Ogbechie
Item Width: 156 mm
Format: Hardcover