Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
XII, 295 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Computational Intelligence, 871. Sprache: Englisch.
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Published by Taylor & Francis Group, 2022
ISBN 10: 0367504936 ISBN 13: 9780367504939
Seller: Majestic Books, Hounslow, United Kingdom
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Published by Taylor & Francis Ltd, 2022
ISBN 10: 0367504936 ISBN 13: 9780367504939
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Published by Taylor & Francis Group, 2022
ISBN 10: 0367504936 ISBN 13: 9780367504939
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Published by Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030338223 ISBN 13: 9783030338220
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Paperback. Condition: new. Paperback. This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Language: English
Published by Springer Nature Switzerland AG, Cham, 2020
ISBN 10: 3030338193 ISBN 13: 9783030338190
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Taylor & Francis Group, 2022
ISBN 10: 0367504936 ISBN 13: 9780367504939
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Add to basketPaperback. Condition: Brand New. 262 pages. 9.21x6.14x1.06 inches. In Stock.
Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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