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Knowledge Guided Machine Learning : Accelerating Discovery Using Scientific Knowledge and Data
Published by Chapman and Hall/CRC, 2024
ISBN 10: 036769820X ISBN 13: 9780367698201
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 43.56
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KNOWLEDGE GUIDED MACHINE LEARNING
Published by Chapman and Hall/CRC, 2024
ISBN 10: 036769820X ISBN 13: 9780367698201
Language: English
Condition: NEW.
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Knowledge Guided Machine Learning: Accelerating Discovery Using Scientific Knowledge and Data
Published by Taylor & Francis Ltd, 2024
ISBN 10: 036769820X ISBN 13: 9780367698201
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Other book format. Condition: New. New copy - Usually dispatched within 4 working days. 920.
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Knowledge Guided Machine Learning : Accelerating Discovery Using Scientific Knowledge and Data
Published by Chapman and Hall/CRC, 2024
ISBN 10: 036769820X ISBN 13: 9780367698201
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Published by Chapman and Hall/CRC, 2024
ISBN 10: 036769820X ISBN 13: 9780367698201
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 50.82
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Knowledge guided machine learning
Published by Chapman and Hall/CRC, 2024
ISBN 10: 036769820X ISBN 13: 9780367698201
Language: English
Condition: New. pages cm.
-
Knowledge Guided Machine Learning (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 036769820X ISBN 13: 9780367698201
Language: English
Paperback. Condition: new. Paperback. Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and data at an equal footing. Indeed, KGML involves diverse scientific and ML communities, where researchers and practitioners from various backgrounds and application domains are continually adding richness to the problem formulations and research methods in this emerging field. Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data provides an introduction to this rapidly growing field by discussing some of the common themes of research in KGML using illustrative examples, case studies, and reviews from diverse application domains and research communities as book chapters by leading researchers. KEY FEATURES First-of-its-kind book in an emerging area of research that is gaining widespread attention in the scientific and data science fields Accessible to a broad audience in data science and scientific and engineering fields Provides a coherent organizational structure to the problem formulations and research methods in the emerging field of KGML using illustrative examples from diverse application domains Contains chapters by leading researchers, which illustrate the cutting-edge research trends, opportunities, and challenges in KGML research from multiple perspectives Enables cross-pollination of KGML problem formulations and research methods across disciplines Highlights critical gaps that require further investigation by the broader community of researchers and practitioners to realize the full potential of KGML Knowledge Guided Machine Learning provides an introduction to this rapidly growing field by discussing some of the common themes of research in SGML, using illustrative examples and case studies from diverse application domains and research communities as contributed book chapters. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Knowledge guided machine learning
Published by Chapman and Hall/CRC, 2024
ISBN 10: 036769820X ISBN 13: 9780367698201
Language: English
£ 53.50
Convert currency£ 6.60 shipping from U.S.A. to United KingdomQuantity: 4 available
Add to basketCondition: New. pages cm First edition Includes bibliographical references and index.
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Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Published by Chapman and Hall/CRC, 2024
ISBN 10: 036769820X ISBN 13: 9780367698201
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
£ 59.62
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Add to basketCondition: New. 2024. 1st Edition. paperback. . . . . .
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Knowledge Guided Machine Learning : Accelerating Discovery Using Scientific Knowledge and Data
Published by Chapman and Hall/CRC, 2024
ISBN 10: 036769820X ISBN 13: 9780367698201
Language: English
£ 46.79
Convert currency£ 14.67 shipping from U.S.A. to United KingdomQuantity: Over 20 available
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Knowledge Guided Machine Learning : Accelerating Discovery Using Scientific Knowledge and Data
Published by Chapman and Hall/CRC, 2024
ISBN 10: 036769820X ISBN 13: 9780367698201
Language: English
£ 54.33
Convert currency£ 14.67 shipping from U.S.A. to United KingdomQuantity: Over 20 available
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Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Published by Chapman and Hall/CRC, 2024
ISBN 10: 036769820X ISBN 13: 9780367698201
Language: English
£ 70.42
Convert currency£ 2.20 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketCondition: New. 2024. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.
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£ 55.73
Convert currency£ 21.28 shipping from Germany to United KingdomQuantity: 1 available
Add to basketCondition: New. Anuj Karpatne is an Assistant Professor in the Department of Computer Science at Virginia Tech. His research focuses on pushing on the frontiers of knowledge-guided machine learning by combining scientific knowledge and data in the design and learning of.
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Knowledge Guided Machine Learning (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 036769820X ISBN 13: 9780367698201
Language: English
£ 58.04
Convert currency£ 36.69 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and data at an equal footing. Indeed, KGML involves diverse scientific and ML communities, where researchers and practitioners from various backgrounds and application domains are continually adding richness to the problem formulations and research methods in this emerging field. Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data provides an introduction to this rapidly growing field by discussing some of the common themes of research in KGML using illustrative examples, case studies, and reviews from diverse application domains and research communities as book chapters by leading researchers. KEY FEATURES First-of-its-kind book in an emerging area of research that is gaining widespread attention in the scientific and data science fields Accessible to a broad audience in data science and scientific and engineering fields Provides a coherent organizational structure to the problem formulations and research methods in the emerging field of KGML using illustrative examples from diverse application domains Contains chapters by leading researchers, which illustrate the cutting-edge research trends, opportunities, and challenges in KGML research from multiple perspectives Enables cross-pollination of KGML problem formulations and research methods across disciplines Highlights critical gaps that require further investigation by the broader community of researchers and practitioners to realize the full potential of KGML Knowledge Guided Machine Learning provides an introduction to this rapidly growing field by discussing some of the common themes of research in SGML, using illustrative examples and case studies from diverse application domains and research communities as contributed book chapters. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Knowledge Guided Machine Learning (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 036769820X ISBN 13: 9780367698201
Language: English
£ 75.88
Convert currency£ 27.15 shipping from Australia to United KingdomQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and data at an equal footing. Indeed, KGML involves diverse scientific and ML communities, where researchers and practitioners from various backgrounds and application domains are continually adding richness to the problem formulations and research methods in this emerging field. Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data provides an introduction to this rapidly growing field by discussing some of the common themes of research in KGML using illustrative examples, case studies, and reviews from diverse application domains and research communities as book chapters by leading researchers. KEY FEATURES First-of-its-kind book in an emerging area of research that is gaining widespread attention in the scientific and data science fields Accessible to a broad audience in data science and scientific and engineering fields Provides a coherent organizational structure to the problem formulations and research methods in the emerging field of KGML using illustrative examples from diverse application domains Contains chapters by leading researchers, which illustrate the cutting-edge research trends, opportunities, and challenges in KGML research from multiple perspectives Enables cross-pollination of KGML problem formulations and research methods across disciplines Highlights critical gaps that require further investigation by the broader community of researchers and practitioners to realize the full potential of KGML Knowledge Guided Machine Learning provides an introduction to this rapidly growing field by discussing some of the common themes of research in SGML, using illustrative examples and case studies from diverse application domains and research communities as contributed book chapters. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Knowledge Guided Machine Learning : Accelerating Discovery Using Scientific Knowledge and Data
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367693410 ISBN 13: 9780367693411
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 104.92
Convert currencyFree shipping within United KingdomQuantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367693410 ISBN 13: 9780367693411
Language: English
Condition: New.
-
Knowledge Guided Machine Learning : Accelerating Discovery Using Scientific Knowledge and Data
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367693410 ISBN 13: 9780367693411
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 115.68
Convert currencyFree shipping within United KingdomQuantity: Over 20 available
Add to basketCondition: New.
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Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data
Published by Taylor & Francis Ltd, 2022
ISBN 10: 0367693410 ISBN 13: 9780367693411
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 209.
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Knowledge Guided Machine Learning : Accelerating Discovery Using Scientific Knowledge and Data
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367693410 ISBN 13: 9780367693411
Language: English
£ 105.23
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Knowledge Guided Machine Learning : Accelerating Discovery Using Scientific Knowledge and Data
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367693410 ISBN 13: 9780367693411
Language: English
£ 107.55
Convert currency£ 14.67 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketCondition: As New. Unread book in perfect condition.
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Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367693410 ISBN 13: 9780367693411
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 121.03
Convert currencyFree shipping within United KingdomQuantity: Over 20 available
Add to basketCondition: New. In.
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Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367693410 ISBN 13: 9780367693411
Language: English
£ 127.71
Convert currency£ 6.60 shipping from U.S.A. to United KingdomQuantity: 3 available
Add to basketCondition: New. 1st edition NO-PA16APR2015-KAP.
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Knowledge Guided Machine Learning : Accelerating Discovery using Scientific Knowledge and Data
Published by Taylor & Francis Ltd (Sales) Aug 2022, 2022
ISBN 10: 0367693410 ISBN 13: 9780367693411
Language: English
£ 133.47
Convert currency£ 11.91 shipping from Germany to United KingdomQuantity: 2 available
Add to basketBuch. Condition: Neu. Neuware - Knowledge Guided Machine Learning provides an introduction to this rapidly growing field by discussing some of the common themes of research in SGML, using illustrative examples and case studies from diverse application domains and research communities as contributed book chapters.
-
Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367693410 ISBN 13: 9780367693411
Language: English
£ 138.18
Convert currency£ 6.77 shipping from Germany to United KingdomQuantity: 3 available
Add to basketCondition: New.
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Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367693410 ISBN 13: 9780367693411
Language: English
£ 104.22
Convert currency£ 55.03 shipping from U.S.A. to United KingdomQuantity: Over 20 available
Add to basketCondition: New.
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Hardcover. Condition: Brand New. 448 pages. 10.00x7.00x0.94 inches. In Stock.
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Paperback. Condition: Brand New. 442 pages. 10.00x7.00x10.00 inches. In Stock. This item is printed on demand.
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Knowledge guided machine learning
Published by Chapman and Hall/CRC, 2024
ISBN 10: 036769820X ISBN 13: 9780367698201
Language: English
£ 57.90
Convert currency£ 6.77 shipping from Germany to United KingdomQuantity: 4 available
Add to basketCondition: New. PRINT ON DEMAND pages cm.
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Knowledge Guided Machine Learning : Accelerating Discovery using Scientific Knowledge and Data
Published by Chapman And Hall/CRC, 2024
ISBN 10: 036769820X ISBN 13: 9780367698201
Language: English
£ 57.01
Convert currency£ 11.91 shipping from Germany to United KingdomQuantity: 2 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Knowledge Guided Machine Learning provides an introduction to this rapidly growing field by discussing some of the common themes of research in SGML, using illustrative examples and case studies from diverse application domains and research communities as contributed book chapters.
