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Data-Centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032610069 ISBN 13: 9781032610061
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
hardcover. Condition: Fine.
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Data-Centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032610069 ISBN 13: 9781032610061
Seller: St Vincent de Paul of Lane County, Eugene, OR, U.S.A.
Seller rating 5 out of 5 stars
Condition: Like New. hardcover 100% of proceeds go to charity! Clean copy with no writing, notes, creases or highlighting. Item may have been opened and read, but signs of use are minimal.
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Data-centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Chapman and Hall/CRC, 2026
ISBN 10: 1032610077 ISBN 13: 9781032610078
Condition: As New. Unread book in perfect condition.
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Data-centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Chapman and Hall/CRC, 2026
ISBN 10: 1032610077 ISBN 13: 9781032610078
Condition: New.
-
Data-Centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Chapman and Hall/CRC, 2026
ISBN 10: 1032610077 ISBN 13: 9781032610078
Condition: New.
-
Data-centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Chapman and Hall/CRC, 2026
ISBN 10: 1032610077 ISBN 13: 9781032610078
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Data-Centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Chapman and Hall/CRC, 2026
ISBN 10: 1032610077 ISBN 13: 9781032610078
Condition: New.
-
Data-centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Chapman and Hall/CRC, 2026
ISBN 10: 1032610077 ISBN 13: 9781032610078
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Data-Centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Chapman and Hall/CRC, 2026
ISBN 10: 1032610077 ISBN 13: 9781032610078
Condition: New.
-
Data-Centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Chapman and Hall/CRC, 2026
ISBN 10: 1032610077 ISBN 13: 9781032610078
Condition: New.
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Data-Centric Artificial Intelligence For Multidisciplinary Applications
Language: English
Published by Taylor & Francis Ltd, 2026
ISBN 10: 1032610077 ISBN 13: 9781032610078
Paperback. Condition: Brand New. 294 pages. 6.14x0.65x9.21 inches. In Stock.
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Condition: New. Dr. Parikshit N. Mahalle is a senior member of the IEEE and is Professor and Head of Department of Artificial Intelligence and Data Science at Vishwakarma Institute of Information Technology, Pune, India. He completed his Ph.D. from Aalb.
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Data-Centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032610069 ISBN 13: 9781032610061
Condition: As New. Unread book in perfect condition.
-
Data-Centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Taylor & Francis Ltd Mai 2026, 2026
ISBN 10: 1032610077 ISBN 13: 9781032610078
Taschenbuch. Condition: Neu. Neuware - This book explores the need for a datäcentric AI approach and its application in the multidisciplinary domain, compared to a modelżcentric approach. It examines the methodologies for datäcentric approaches, the use of datäcentric approaches in different domains, the need for edge AI and how it differs from cloudżbased AI. It discusses the new category of AI technology, 'datäcentric AI' (DCAI), which focuses on comprehending, utilizing, and reaching conclusions from data. By adding machine learning and big data analytics tools, datäcentric AI modifies this by enabling it to learn from data rather than depending on algorithms. It can therefore make wiser choices and deliver more precise outcomes. Additionally, it has the potential to be significantly more scalable than conventional AI methods.ż Includes a collection of case studies with experimentation results to adhere to the practical approachesż Examines challenges in dataset generation, synthetic datasets, analysis, and prediction algorithms in stochastic waysż Discusses methodologies to achieve accurate results by improving the quality of dataż Comprises cases in healthcare and agriculture with implementation and impact of quality data in building AI applications.
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Data-Centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032610069 ISBN 13: 9781032610061
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Data-Centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032610069 ISBN 13: 9781032610061
Condition: New.
-
Data-Centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032610069 ISBN 13: 9781032610061
Condition: New.
-
Data-Centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032610069 ISBN 13: 9781032610061
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Data-Centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032610069 ISBN 13: 9781032610061
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.
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Data-Centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032610069 ISBN 13: 9781032610061
Condition: New.
-
Data-Centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032610069 ISBN 13: 9781032610061
Condition: New. 1st edition NO-PA16APR2015-KAP.
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Data-Centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032610069 ISBN 13: 9781032610061
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 160.25
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Data-Centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032610069 ISBN 13: 9781032610061
Condition: New.
-
Hardcover. Condition: Brand New. 320 pages. 9.19x6.13x9.21 inches. In Stock.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Data-Centric Artificial Intelligence for Multidisciplinary Applications
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 65.49
£ 5.02 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Data-Centric Artificial Intelligence for Multidisciplinary Applications (Paperback)
Language: English
Published by Taylor & Francis Ltd, 2026
ISBN 10: 1032610077 ISBN 13: 9781032610078
Paperback. Condition: new. Paperback. This book explores the need for a datacentric AI approach and its application in the multidisciplinary domain, compared to a modelcentric approach. It examines the methodologies for datacentric approaches, the use of datacentric approaches in different domains, the need for edge AI and how it differs from cloudbased AI. It discusses the new category of AI technology, "datacentric AI" (DCAI), which focuses on comprehending, utilizing, and reaching conclusions from data. By adding machine learning and big data analytics tools, datacentric AI modifies this by enabling it to learn from data rather than depending on algorithms. It can therefore make wiser choices and deliver more precise outcomes. Additionally, it has the potential to be significantly more scalable than conventional AI methods. Includes a collection of case studies with experimentation results to adhere to the practical approaches Examines challenges in dataset generation, synthetic datasets, analysis, and prediction algorithms in stochastic ways Discusses methodologies to achieve accurate results by improving the quality of data Comprises cases in healthcare and agriculture with implementation and impact of quality data in building AI applications This book explores the need for a data-centric AI approach and its application in the multidisciplinary domain, compared to a model-centric approach. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Data-Centric Artificial Intelligence for Multidisciplinary Applications (Paperback)
Language: English
Published by Taylor & Francis Ltd, 2026
ISBN 10: 1032610077 ISBN 13: 9781032610078
Paperback. Condition: new. Paperback. This book explores the need for a datacentric AI approach and its application in the multidisciplinary domain, compared to a modelcentric approach. It examines the methodologies for datacentric approaches, the use of datacentric approaches in different domains, the need for edge AI and how it differs from cloudbased AI. It discusses the new category of AI technology, "datacentric AI" (DCAI), which focuses on comprehending, utilizing, and reaching conclusions from data. By adding machine learning and big data analytics tools, datacentric AI modifies this by enabling it to learn from data rather than depending on algorithms. It can therefore make wiser choices and deliver more precise outcomes. Additionally, it has the potential to be significantly more scalable than conventional AI methods. Includes a collection of case studies with experimentation results to adhere to the practical approaches Examines challenges in dataset generation, synthetic datasets, analysis, and prediction algorithms in stochastic ways Discusses methodologies to achieve accurate results by improving the quality of data Comprises cases in healthcare and agriculture with implementation and impact of quality data in building AI applications This book explores the need for a data-centric AI approach and its application in the multidisciplinary domain, compared to a model-centric approach. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Data-Centric Artificial Intelligence for Multidisciplinary Applications
Language: English
Published by Chapman And Hall/CRC Jun 2024, 2024
ISBN 10: 1032610069 ISBN 13: 9781032610061
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores the need for a data centric AI approach and its application in the multidisciplinary domain, compared to a model centric approach. It examines the methodologies for data centric approaches, the use of data centric approaches in different domains, the need for edge AI and how it differs from cloud based AI. It discusses the new category of AI technology, 'data centric AI' (DCAI), which focuses on comprehending, utilizing, and reaching conclusions from data. By adding machine learning and big data analytics tools, data centric AI modifies this by enabling it to learn from data rather than depending on algorithms. It can therefore make wiser choices and deliver more precise outcomes. Additionally, it has the potential to be significantly more scalable than conventional AI methods.- Includes a collection of case studies with experimentation results to adhere to the practical approaches- Examines challenges in dataset generation, synthetic datasets, analysis, and prediction algorithms in stochastic ways- Discusses methodologies to achieve accurate results by improving the quality of data- Comprises cases in healthcare and agriculture with implementation and impact of quality data in building AI applications 310 pp. Englisch.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Parikshit N. Mahalle is a senior member of the IEEE and is Professor and Head of Department of Artificial Intelligence and Data Science at Vishwakarma Institute of Information Technology, Pune, India. He completed his Ph.D. from Aalb.
