Industrial Applications of Machine Learning
Regular price
€167.40
A01=Alberto Ogbechie
A01=Carlos Esteban Puerto-Santana
A01=Concha Bielza
A01=David Atienza
A01=Javier Diaz-Rozo
A01=Pedro Larranaga
Age Group_Uncategorized
Age Group_Uncategorized
Alberto Ogbechie
Anomaly Detection
AP Algorithm
artificial intelligence
Artificial Neural Network Ensembles
As
Author_Alberto Ogbechie
Author_Carlos Esteban Puerto-Santana
Author_Concha Bielza
Author_David Atienza
Author_Javier Diaz-Rozo
Author_Pedro Larranaga
automatic-update
AVI
Bangladesh Agricultural Research Council
Bayesian Network Classifiers
Bayesian Networks
big data
Business Process
Carlos Puerto-Santana
Category1=Non-Fiction
Category=UXT
Category=UYQM
Concha Bielza
COP=United States
data science
David Atienza
Delivery_Delivery within 10-20 working days
engineering statistics
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Feature Subset Selection
fourth industrial revoluntion
Hidden semi-Markov Models
industrial data analytics
Javier Diaz-Rozo
Language_English
logistics forecasting
Machine Learning
machine learning for industrial processes
Machine Learning Techniques
manufacturing optimisation
Markov Blanket
Naive Bayes Classifier
PA=Available
Power Consumption
predictive maintenance
Price_€100 and above
programming
PS=Active
Random Forest
reliability modelling
Roc Curve
RUL Estimation
RUL Prediction
RUL Value
Service Execution
softlaunch
Spectral Clustering
Support Vector Machines
Transport Leg
Product details
- ISBN 9780815356226
- Weight: 730g
- Dimensions: 156 x 234mm
- Publication Date: 10 Dec 2018
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
- Language: English
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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
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- Describes the opportunities, challenges, issues, and trends offered by the fourth industrial revolution
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- Provides a user-friendly introduction to machine learning with examples of cutting-edge applications in different industrial sectors
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- Includes four case studies addressing real-world industrial problems solved with machine learning techniques
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- 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
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- Uses of three of the most widespread software and programming languages within the engineering and data science communities, namely R, Python, and Weka
Pedro Larrañaga, David Atienza, Javier Diaz-Rozo, Alberto Ogbechie, Carlos Esteban Puerto-Santana, Concha Bielza
