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![Stock image for Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent (Human-Computer Interaction Series) [Paperback] Zhou, Jianlong and Chen, Fang for sale by SpringBooks](https://pictures.abebooks.com/isbn/9783030080075-us-300.jpg)
Softcover. Condition: Very Good. unread, some shelfwear.
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Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent (Human-Computer Interaction Series)
Book 89 of 141: Human?Computer InteractionSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 82.44
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Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent (Human-Computer Interaction Series)
Book 89 of 141: Human?Computer InteractionUS$ 81.23
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paperback. Condition: Gut. 505 Seiten; 9783030080075.3 Gewicht in Gramm: 1.
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Human and Machine Learning : Visible, Explainable, Trustworthy and Transparent
Book 89 of 141: Human?Computer InteractionSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 107.21
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Condition: As New. Unread book in perfect condition.
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Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent (Human-Computer Interaction Series)
Book 89 of 141: Human?Computer InteractionSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 115.46
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Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent (Human?Computer Interaction Series)
Book 89 of 141: Human?Computer InteractionUS$ 123.47
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Human and Machine Learning : Visible, Explainable, Trustworthy and Transparent
Book 89 of 141: Human?Computer InteractionSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 123.69
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Human and Machine Learning : Visible, Explainable, Trustworthy and Transparent
Book 89 of 141: Human?Computer InteractionUS$ 23.67 10% offUS$ 21.31
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 508 | Sprache: Englisch | Produktart: Bücher | With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of ¿black-box¿ in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.
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Condition: New. 1st ed. 2018 edition NO-PA16APR2015-KAP.
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US$ 96.90
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Human and Machine Learning : Visible, Explainable, Trustworthy and Transparent
Book 89 of 141: Human?Computer InteractionLanguage: English
Published by Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030080072 ISBN 13: 9783030080075
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of 'black-box' in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.
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Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent (HumanComputer Interaction Series)
Book 89 of 141: Human?Computer InteractionUS$ 151.53
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Add to basketPaperback. Condition: New. New. book.
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Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent
Book 89 of 141: Human?Computer InteractionLanguage: English
Published by Springer-Verlag New York Inc, 2018
ISBN 10: 3319904027 ISBN 13: 9783319904023
US$ 183.37
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Add to basketHardcover. Condition: Brand New. 482 pages. 9.25x6.25x1.25 inches. In Stock.
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Human and Machine Learning : Visible, Explainable, Trustworthy and Transparent
Book 89 of 141: Human?Computer InteractionLanguage: English
Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319904027 ISBN 13: 9783319904023
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of 'black-box' in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.
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Buch. Condition: Neu. Human and Machine Learning | Visible, Explainable, Trustworthy and Transparent | Jianlong Zhou (u. a.) | Buch | xxiii | Englisch | 2018 | Springer | EAN 9783319904023 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent (HumanComputer Interaction Series)
Book 89 of 141: Human?Computer InteractionUS$ 205.75
US$ 33.74 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: New. New. book.
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Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent
Book 89 of 141: Human?Computer InteractionLanguage: English
Published by Springer-Verlag New York Inc, 2018
ISBN 10: 3319904027 ISBN 13: 9783319904023
US$ 138.75
US$ 16.87 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: Brand New. 482 pages. 9.25x6.25x1.25 inches. In Stock. This item is printed on demand.
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Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent (Human?Computer Interaction Series)
Book 89 of 141: Human?Computer InteractionUS$ 164.95
US$ 8.77 shipping
Ships from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: New. Print on Demand pp. 508.
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Condition: New. PRINT ON DEMAND pp. 508.
