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Published by World Scientific Publishing, 2020
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Published by World Scientific Publishing Co Pte Ltd, 2018
ISBN 10: 9813229683 ISBN 13: 9789813229686
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Published by World Scientific Pub Co Inc, 2018
ISBN 10: 9813229683 ISBN 13: 9789813229686
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Published by World Scientific Pub Co Inc, 2018
ISBN 10: 9813229683 ISBN 13: 9789813229686
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Published by World Scientific Pub Co Inc, 2018
ISBN 10: 9813229683 ISBN 13: 9789813229686
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Published by World Scientific Pub Co Inc, 2018
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Language: English
Published by World Scientific Pub Co Inc, 2018
ISBN 10: 9813229683 ISBN 13: 9789813229686
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Language: English
Published by World Scientific Pub Co Inc, 2018
ISBN 10: 9813229683 ISBN 13: 9789813229686
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Published by World Scientific Publishing Co Pte Ltd, 2018
ISBN 10: 9813229683 ISBN 13: 9789813229686
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Published by World Scientific Pub Co Inc, 2018
ISBN 10: 9813229683 ISBN 13: 9789813229686
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Published by World Scientific Pub Co Inc, 2018
ISBN 10: 9813229683 ISBN 13: 9789813229686
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Published by World Scientific Publishing Co Pte Ltd, 2018
ISBN 10: 9813229683 ISBN 13: 9789813229686
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Published by World Scientific Publishing Co Pte Ltd, 2018
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Published by World Scientific Pub Co Inc, 2018
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Published by World Scientific Pub Co Inc, 2018
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Add to basketHardcover. Condition: Brand New. 968 pages. 9.25x6.25x1.50 inches. In Stock.
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnThis compendium provides a self-contained introduction to mathematical analysis in the field of machine learning and data mining. The mathematical analysis component of the typical mathematical curriculum for computer science stud.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This compendium provides a self-contained introduction to mathematical analysis in the field of machine learning and data mining. The mathematical analysis component of the typical mathematical curriculum for computer science students omits these very important ideas and techniques which are indispensable for approaching specialized area of machine learning centered around optimization such as support vector machines, neural networks, various types of regression, feature selection, and clustering. The book is of special interest to researchers and graduate students who will benefit from these application areas discussed in the book.