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Understanding Machine Learning: Approaches, Algorithms, and Business Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 10.28
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Machine Learning for High-Risk Applications: Approaches to Responsible AI
Published by O'Reilly Media (edition 1), 2023
ISBN 10: 1098102436 ISBN 13: 9781098102432
Language: English
£ 28.19
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Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 49.93
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Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches : Fundamentals, Technologies and Applications
Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839533234 ISBN 13: 9781839533235
Language: English
£ 111.09
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Advanced Machine Learning Approaches in Cancer Prognosis: Challenges and Applications (Intelligent Systems Reference Library, 204)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Advanced Machine Learning Approaches in Cancer Prognosis: Challenges and Applications (Intelligent Systems Reference Library)
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Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics
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Machine Learning in Educational Sciences : Approaches, Applications and Advances
Published by Springer Nature Singapore, Springer Nature Singapore, 2025
ISBN 10: 9819993814 ISBN 13: 9789819993819
Language: English
£ 156.12
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This comprehensive volume investigates the untapped potential of machine learning in educational settings. It examines the profound impact machine learning can have on reshaping educational research. Each chapter delves into specific applications and advancements, sheds light on theory-building, and multidisciplinary research, and identifies areas for further development. It encompasses various topics, such as machine-based learning in psychological assessment. It also highlights the power of machine learning in analyzing large-scale international assessment data and utilizing natural language processing for science education. With contributions from leading scholars in the field, this book provides a comprehensive, evidence-based framework for leveraging machine-learning approaches to enhance educational outcomes. The book offers valuable insights and recommendations that could help shape the future of educational sciences.
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