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Published by Cambridge University Press, 2011
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Published by Cambridge University Press, 2011
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Published by Cambridge University Press, 2011
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Published by Cambridge University Press, 2011
ISBN 10: 0521699096 ISBN 13: 9780521699099
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Published by Chapman and Hall/CRC, 2022
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Published by Taylor & Francis Group, 2022
ISBN 10: 0367532468 ISBN 13: 9780367532468
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Published by Cambridge University Press, 2011
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Taschenbuch. Condition: Neu. Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches | Theory and Practical Applications | Fouzi Harrou (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Elsevier | EAN 9780128193655 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031722140 ISBN 13: 9783031722141
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Hardcover. Condition: new. Hardcover. This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered within the LISA 2020 Global Network. Through a series of compelling case studies, readers are immersed in practical methodologies, real-world applications, and innovative approaches in statistical learning and data science.Topics covered in this volume span a wide array of applications, including machine learning in health data analysis, deep learning models for precipitation modeling, interpretation techniques for machine learning models in BMI classification for obesity studies, as well as a comparative analysis of sampling methods in machine learning health applications. By addressing the evolving landscape of data analytics in many ways, this volume serves as a valuable resource for practitioners, researchers, and students alike.The LISA 2020 Global Network is dedicated to enhancing statistical and data science capabilities in developing countries through the establishment of collaboration laboratories, also known as stat labs. These stat labs function as engines for development, nurturing the next generation of collaborative statisticians and data scientists while providing essential research infrastructure for researchers, data producers, and decision-makers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031722140 ISBN 13: 9783031722141
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Hardcover. Condition: new. Hardcover. This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered within the LISA 2020 Global Network. Through a series of compelling case studies, readers are immersed in practical methodologies, real-world applications, and innovative approaches in statistical learning and data science.Topics covered in this volume span a wide array of applications, including machine learning in health data analysis, deep learning models for precipitation modeling, interpretation techniques for machine learning models in BMI classification for obesity studies, as well as a comparative analysis of sampling methods in machine learning health applications. By addressing the evolving landscape of data analytics in many ways, this volume serves as a valuable resource for practitioners, researchers, and students alike.The LISA 2020 Global Network is dedicated to enhancing statistical and data science capabilities in developing countries through the establishment of collaboration laboratories, also known as stat labs. These stat labs function as engines for development, nurturing the next generation of collaborative statisticians and data scientists while providing essential research infrastructure for researchers, data producers, and decision-makers. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.