Published by University of Chicago, Chicago, 1969
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Condition: Fine. Illustrated (illustrator). First Separate. Fine in original printed stapled wrappers. Pp. 401-426, reprinted from the Astrophysical Journal, May, 1969.
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Published by Chapman and Hall/CRC, 2016
ISBN 10: 1138199303 ISBN 13: 9781138199309
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Published by Chapman and Hall/CRC, 2016
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Published by Chapman and Hall/CRC, 2016
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Published by Chapman and Hall/CRC, 2016
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Published by Chapman and Hall/CRC, 2012
ISBN 10: 143984173X ISBN 13: 9781439841730
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Published by Taylor & Francis Group, 2012
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Published by Chapman and Hall/CRC 2012-03-29, 2012
ISBN 10: 143984173X ISBN 13: 9781439841730
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Add to basketGebunden. Condition: New. Michael J. Way, PhD, is a research scientist at the NASA Goddard Institute for Space Studies in New York and the NASA Ames Research Center in California. He is also an adjunct professor in the Department of Physics and Astronomy at Hunte.
Buch. Condition: Neu. Neuware - This book provides a comprehensive overview of various data mining tools and techniques that are increasingly being used by researchers in the international astronomy community. It explores this new problem domain, discussing how it could lead to the development of entirely new algorithms. Leading contributors introduce data mining methods and then describe how the methods can be implemented into astronomy applications. The last section of the book discusses the Redshift Prediction Competition, which is an astronomy competition in the style of the Netflix Prize.
Language: English
Published by Taylor & Francis Group, 2012
ISBN 10: 143984173X ISBN 13: 9781439841730
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Add to basketCondition: New. pp. 744 16 page color insert follows page 322 This item is printed on demand.
Language: English
Published by Chapman And Hall/CRC, 2016
ISBN 10: 1138199303 ISBN 13: 9781138199309
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This practical guide illustrates the use of state-of-the-art machine learning and data mining techniques in astronomy. The book presents issues in the astronomical sciences that are also important to health, social, and physical sciences. It describes a number of astrophysics case studies that leverage a range of machine learning and data mining technologies. In addition, developers of algorithms and practitioners of machine learning and data mining show how these tools and techniques are used in astronomical applications.
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Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Michael J. Way, PhD, is a research scientist at the NASA Goddard Institute for Space Studies in New York and the NASA Ames Research Center in California. He is also an adjunct professor in the Department of Physics and Astronomy at Hunte.
Language: English
Published by Chapman and Hall/CRC, 2016
ISBN 10: 1138199303 ISBN 13: 9781138199309
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Advances in Machine Learning and Data Mining for Astronomy | Michael J. Way (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2016 | Chapman and Hall/CRC | EAN 9781138199309 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.