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Condition: very_good. Used book in very good and clean conditions. Minor cosmetic defects may be present. Pages and cover intact. May include library marks, notes marks and highlighting. Fast Shipping.
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Getting Started with SharePoint Framework (SPFx): Design and Build Engaging Intelligent Applications Using SharePoint Framework (English Edition) (Paperback or Softback)
Published by Bpb Publications 5/16/2020, 2020
ISBN 10: 8194334462 ISBN 13: 9788194334460
Language: English
Paperback or Softback. Condition: New. Getting Started with SharePoint Framework (SPFx): Design and Build Engaging Intelligent Applications Using SharePoint Framework (English Edition) 0.81. Book.
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Condition: New.
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Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques
Published by Chapman and Hall/CRC, 2025
ISBN 10: 0367679892 ISBN 13: 9780367679897
Language: English
Condition: As New. Unread book in perfect condition.
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Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
Published by Chapman and Hall/CRC, 2025
ISBN 10: 0367679892 ISBN 13: 9780367679897
Language: English
£ 63.27
Convert currency£ 6.50 shipping from United Kingdom to U.S.A.Quantity: 3 available
Add to basketCondition: New.
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Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques
Published by Chapman and Hall/CRC, 2025
ISBN 10: 0367679892 ISBN 13: 9780367679897
Language: English
Condition: New.
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Design of Intelligent Applications using Machine Learning and Deep Learning Techniques (Paperback)
Published by Taylor & Francis Ltd, 2025
ISBN 10: 0367679892 ISBN 13: 9780367679897
Language: English
Paperback. Condition: new. Paperback. 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. A subfield called neural networks, to recognize and understand patterns in data, helps a machine carry out tasks in a manner similar to humans. The intelligent models developed using ML and DL are effectively designed and are fully investigated bringing in practical applications in many fields such as health care, agriculture and security. These algorithms can only be successfully applied in the context of data computing and analysis. Today, ML and DL have created conditions for potential developments in detection and prediction. Apart from these domains, ML and DL are found useful in analysing the social behaviour of humans. With the advancements in the amount and type of data available for use, it became necessary to build a means to process the data and that is where deep neural networks prove their importance. These networks are capable of handling a large amount of data in such fields as finance and images. This book also exploits key applications in Industry 4.0 including: Fundamental models, issues and challenges in ML and DL. Comprehensive analyses and probabilistic approaches for ML and DL. Various applications in healthcare predictions such as mental health, cancer, thyroid disease, lifestyle disease and cardiac arrhythmia. Industry 4.0 applications such as facial recognition, feather classification, water stress prediction, deforestation control, tourism and social networking. Security aspects of Industry 4.0 applications suggest remedial actions against possible attacks and prediction of associated risks. - Information is presented in an accessible way for students, researchers and scientists, business innovators and entrepreneurs, sustainable assessment and management professionals.This book equips readers with a knowledge of data analytics, ML and DL techniques for applications defined under the umbrella of Industry 4.0. This book offers comprehensive coverage, promising ideas and outstanding research contributions, supporting further development of ML and DL approaches by applying intelligence in various applications. This book equips readers with the knowledge to data analytics, machine learning and deep learning techniques for applications defined under the umbrella of Industry 4.0. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques
Published by Chapman and Hall/CRC, 2025
ISBN 10: 0367679892 ISBN 13: 9780367679897
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 57.26
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Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
Published by Chapman and Hall/CRC, 2025
ISBN 10: 0367679892 ISBN 13: 9780367679897
Language: English
Condition: New. 1st edition NO-PA16APR2015-KAP.
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Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
Published by Chapman and Hall/CRC, 2025
ISBN 10: 0367679892 ISBN 13: 9780367679897
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 66.03
Convert currency£ 11.98 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
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Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques
Published by Chapman and Hall/CRC, 2025
ISBN 10: 0367679892 ISBN 13: 9780367679897
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 65.96
Convert currency£ 15 shipping from United Kingdom to U.S.A.Quantity: 10 available
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Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
Published by Chapman and Hall/CRC, 2025
ISBN 10: 0367679892 ISBN 13: 9780367679897
Language: English
Condition: New.
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Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
Published by Taylor & Francis Ltd, 2025
ISBN 10: 0367679892 ISBN 13: 9780367679897
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 65.97
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 830.
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£ 87.26
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Add to basketPaperback. Condition: Brand New. 446 pages. 10.00x7.00x10.00 inches. In Stock.
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Design of Intelligent Applications using Machine Learning and Deep Learning Techniques (Paperback)
Published by Taylor & Francis Ltd, 2025
ISBN 10: 0367679892 ISBN 13: 9780367679897
Language: English
£ 70.49
Convert currency£ 37 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. 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. A subfield called neural networks, to recognize and understand patterns in data, helps a machine carry out tasks in a manner similar to humans. The intelligent models developed using ML and DL are effectively designed and are fully investigated bringing in practical applications in many fields such as health care, agriculture and security. These algorithms can only be successfully applied in the context of data computing and analysis. Today, ML and DL have created conditions for potential developments in detection and prediction. Apart from these domains, ML and DL are found useful in analysing the social behaviour of humans. With the advancements in the amount and type of data available for use, it became necessary to build a means to process the data and that is where deep neural networks prove their importance. These networks are capable of handling a large amount of data in such fields as finance and images. This book also exploits key applications in Industry 4.0 including: Fundamental models, issues and challenges in ML and DL. Comprehensive analyses and probabilistic approaches for ML and DL. Various applications in healthcare predictions such as mental health, cancer, thyroid disease, lifestyle disease and cardiac arrhythmia. Industry 4.0 applications such as facial recognition, feather classification, water stress prediction, deforestation control, tourism and social networking. Security aspects of Industry 4.0 applications suggest remedial actions against possible attacks and prediction of associated risks. - Information is presented in an accessible way for students, researchers and scientists, business innovators and entrepreneurs, sustainable assessment and management professionals.This book equips readers with a knowledge of data analytics, ML and DL techniques for applications defined under the umbrella of Industry 4.0. This book offers comprehensive coverage, promising ideas and outstanding research contributions, supporting further development of ML and DL approaches by applying intelligence in various applications. This book equips readers with the knowledge to data analytics, machine learning and deep learning techniques for applications defined under the umbrella of Industry 4.0. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Design of Intelligent Applications using Machine Learning and Deep Learning Techniques (Paperback)
Published by Taylor & Francis Ltd, 2025
ISBN 10: 0367679892 ISBN 13: 9780367679897
Language: English
£ 90.11
Convert currency£ 27.86 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. 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. A subfield called neural networks, to recognize and understand patterns in data, helps a machine carry out tasks in a manner similar to humans. The intelligent models developed using ML and DL are effectively designed and are fully investigated bringing in practical applications in many fields such as health care, agriculture and security. These algorithms can only be successfully applied in the context of data computing and analysis. Today, ML and DL have created conditions for potential developments in detection and prediction. Apart from these domains, ML and DL are found useful in analysing the social behaviour of humans. With the advancements in the amount and type of data available for use, it became necessary to build a means to process the data and that is where deep neural networks prove their importance. These networks are capable of handling a large amount of data in such fields as finance and images. This book also exploits key applications in Industry 4.0 including: Fundamental models, issues and challenges in ML and DL. Comprehensive analyses and probabilistic approaches for ML and DL. Various applications in healthcare predictions such as mental health, cancer, thyroid disease, lifestyle disease and cardiac arrhythmia. Industry 4.0 applications such as facial recognition, feather classification, water stress prediction, deforestation control, tourism and social networking. Security aspects of Industry 4.0 applications suggest remedial actions against possible attacks and prediction of associated risks. - Information is presented in an accessible way for students, researchers and scientists, business innovators and entrepreneurs, sustainable assessment and management professionals.This book equips readers with a knowledge of data analytics, ML and DL techniques for applications defined under the umbrella of Industry 4.0. This book offers comprehensive coverage, promising ideas and outstanding research contributions, supporting further development of ML and DL approaches by applying intelligence in various applications. This book equips readers with the knowledge to data analytics, machine learning and deep learning techniques for applications defined under the umbrella of Industry 4.0. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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Condition: New.
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Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
Published by Taylor & Francis Ltd, 2021
ISBN 10: 0367679795 ISBN 13: 9780367679798
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 159.42
Convert currency£ 8.84 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days. 209.
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Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 153.55
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Design of Intelligent Applications using Machine Learning and Deep Learning Techniques 1st Edition
Published by Taylor & Francis Group, 2021
ISBN 10: 0367679795 ISBN 13: 9780367679798
Language: English
£ 171.11
Convert currency£ 6.50 shipping from United Kingdom to U.S.A.Quantity: 3 available
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Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 159.41
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Condition: New.
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Design of Intelligent Applications using Machine Learning and Deep Learning Techniques 1st Edition
Published by Taylor & Francis Group, 2021
ISBN 10: 0367679795 ISBN 13: 9780367679798
Language: English
Condition: New.
-
Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 173.68
Convert currency£ 11.98 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Design of Intelligent Applications using Machine Learning and Deep Learning Techniques 1st Edition
Published by Taylor & Francis Group, 2021
ISBN 10: 0367679795 ISBN 13: 9780367679798
Language: English
£ 194.71
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£ 210.07
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Add to basketHardcover. Condition: New. New. book.
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£ 237.48
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Add to basketHardcover. Condition: Brand New. 432 pages. 10.25x7.25x1.25 inches. In Stock.
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Intelligent Bike Using AI : Design and Applications
Published by LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203911305 ISBN 13: 9786203911305
Language: English
£ 35.41
Convert currency£ 23.96 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - It is about Intelligent Bike using AI based on riding conditions. It is able to collect and transmit multiple sensor data to the cloud database, and the real -time sensor information is used to analyze for an appropriate riding state through random forest. Our performs automatic gear shifting using inexpensive sensor components and embedded system development board, which is not available in current expensive electronic shifting systems.The function and the installation of the external components can be carried out on the o-the-shelf bike with a shifting line, without the need to dismantle or modify the basic equipment. The system also includes an Intelligent bike specific online management interface that allows all cloud data to be displayed and let users access and understand their riding conditions.
