Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent - Couverture souple

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9783030080075: Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent

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ISBN 10 : 3030080072 ISBN 13 : 9783030080075

Editeur : Springer Nature Switzerland AG, 2019

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Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent

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� propos de l?auteur

Dr. Jianlong Zhou's research interests include interactive behaviour analytics, human-computer interaction, machine learning, and visual analytics. He has extensive experience in data driven multimodal cognitive load and trust measurement in predictive decision making. He leads interdisciplinary research on applying visualization and human behaviour analytics in trustworthy and transparent machine learning. He also works with industries in advanced data analytics for transforming data into actionable operations, particularly by incorporating human user aspects into machine learning to translate machine learning into impacts in real world applications.

Dr. Fang Chen works in the field of behaviour analytics and machine learning in data driven business solutions. She pioneered the theoretical framework of multimodal cognitive load measurement, and provided much of the empirical evidence on using human behaviour signals and physiological responses to measure andmonitor cognitive load. She also leads many taskforces in applying advanced data analytic techniques to help industries make use of data, leading to improved productivity and innovation through business intelligence. Her extensive experience on cognition and machine learning applications across different industries brings unique insights on bridging the gap of machine learning and its impact.

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�diteur: Springer Nature Switzerland AG
Date d'�dition: 2019
Langue: anglais
ISBN 10: 3030080072
ISBN 13: 9783030080075
Reliure: Broch�
Nombre de pages: 482
�diteur: Zhou Jianlong, Chen Fang
Coordonn�es du fabricant: non disponible
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Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent (Human-Computer Interaction Series) [Paperback] Zhou, Jianlong and Chen, Fang

Zhou, Jianlong; Chen, Fang

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ISBN 10 : 3030080072 ISBN 13 : 9783030080075

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Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent (Human-Computer Interaction Series)

Jianlong Zhou, Fang Chen

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Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent (Human?Computer Interaction Series)

Zhou, Jianlong und Fang Chen:

Edit� par Springer, 2019

ISBN 10 : 3030080072 ISBN 13 : 9783030080075

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paperback. Etat : Gut. 505 Seiten; 9783030080075.3 Gewicht in Gramm: 1. N� de r�f. du vendeur 1031960

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Human and Machine Learning

Fang Chen

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ISBN 10 : 3030080072 ISBN 13 : 9783030080075

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 508 pp. Englisch. N� de r�f. du vendeur 9783030080075

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Human and Machine Learning

Zhou, Jianlong|Chen, Fang

Edit� par Springer International Publishing, 2019

ISBN 10 : 3030080072 ISBN 13 : 9783030080075

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Creates a systematic view of relations between human and machine learning from the perspectives of visualisation, explanation, trustworthiness and transparencyExplores human aspects in machine learning based on algorithms, human cognitive response. N� de r�f. du vendeur 448671125

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Human and Machine Learning : Visible, Explainable, Trustworthy and Transparent

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ISBN 10 : 3030080072 ISBN 13 : 9783030080075

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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 508 | Sprache: Englisch | Produktart: B�cher | 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. N� de r�f. du vendeur 34955886/2

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Human and Machine Learning

Fang Chen

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ISBN 10 : 3030080072 ISBN 13 : 9783030080075

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Taschenbuch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 508 pp. Englisch. N� de r�f. du vendeur 9783030080075

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