Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics, 1987
ISBN 10: 0898714389 ISBN 13: 9780898714388
Condizione: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.
Lingua: Inglese
Editore: Society for Industrial & Applied, 1994
ISBN 10: 089871334X ISBN 13: 9780898713343
Da: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Hardcover. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Lingua: Inglese
Editore: Society for Industrial & Applied, 1994
ISBN 10: 089871334X ISBN 13: 9780898713343
Da: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Hardcover. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Lingua: Inglese
Editore: Society for Industrial & Applied, 1994
ISBN 10: 089871334X ISBN 13: 9780898713343
Da: HPB-Red, Dallas, TX, U.S.A.
hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 72,34
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Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
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EUR 75,23
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Lingua: Inglese
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ISBN 10: 1009432249 ISBN 13: 9781009432245
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EUR 77,36
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Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
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Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
Da: Majestic Books, Hounslow, Regno Unito
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Lingua: Inglese
Editore: Cambridge University Press, GB, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
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EUR 88,84
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Aggiungi al carrelloHardback. Condizione: New. Confidently analyze, interpret and act on financial data with this practical introduction to the fundamentals of financial data science. Master the fundamentals with step-by-step introductions to core topics will equip you with a solid foundation for applying data science techniques to real-world complex financial problems. Extract meaningful insights as you learn how to use data to lead informed, data-driven decisions, with over 50 examples and case studies and hands-on Matlab and Python code. Explore cutting-edge techniques and tools in machine learning for financial data analysis, including deep learning and natural language processing. Accessible to readers without a specialized background in finance or machine learning, and including coverage of data representation and visualization, data models and estimation, principal component analysis, clustering methods, optimization tools, mean/variance portfolio optimization and financial networks, this is the ideal introduction for financial services professionals, and graduate students in finance and data science.
Lingua: Inglese
Editore: Cambridge University Press, 2014
ISBN 10: 1107050871 ISBN 13: 9781107050877
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 87,79
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Lingua: Inglese
Editore: Cambridge University Press, 2014
ISBN 10: 1107050871 ISBN 13: 9781107050877
Da: California Books, Miami, FL, U.S.A.
EUR 90,10
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Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 76,29
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Lingua: Inglese
Editore: Society for Industrial & Applied, 1994
ISBN 10: 089871334X ISBN 13: 9780898713343
Da: Ammareal, Morangis, Francia
EUR 67,53
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Aggiungi al carrelloHardcover. Condizione: Très bon. Ancien livre de bibliothèque avec équipements. Edition 1994. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1994. Ammareal gives back up to 15% of this item's net price to charity organizations.
Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
Da: Chiron Media, Wallingford, Regno Unito
EUR 73,08
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Editore: Cambridge University Press, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
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EUR 76,01
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Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
Da: Biblios, Frankfurt am main, HESSE, Germania
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Lingua: Inglese
Editore: Cambridge University Press, 2014
ISBN 10: 1107050871 ISBN 13: 9781107050877
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 83,01
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Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 86,66
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Aggiungi al carrelloCondizione: New. 2025. hardcover. . . . . .
Lingua: Inglese
Editore: Princeton University Press, 2009
ISBN 10: 0691143684 ISBN 13: 9780691143682
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, 2014
ISBN 10: 1107050871 ISBN 13: 9781107050877
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 83,00
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Lingua: Inglese
Editore: Cambridge University Press, 2025
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EUR 84,56
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Lingua: Inglese
Editore: Princeton University Press, 2009
ISBN 10: 0691143684 ISBN 13: 9780691143682
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Princeton University Press, 2009
ISBN 10: 0691143684 ISBN 13: 9780691143682
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 97,30
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Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2025. hardcover. . . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 118,20
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Aggiungi al carrelloHardback. Condizione: New. Confidently analyze, interpret and act on financial data with this practical introduction to the fundamentals of financial data science. Master the fundamentals with step-by-step introductions to core topics will equip you with a solid foundation for applying data science techniques to real-world complex financial problems. Extract meaningful insights as you learn how to use data to lead informed, data-driven decisions, with over 50 examples and case studies and hands-on Matlab and Python code. Explore cutting-edge techniques and tools in machine learning for financial data analysis, including deep learning and natural language processing. Accessible to readers without a specialized background in finance or machine learning, and including coverage of data representation and visualization, data models and estimation, principal component analysis, clustering methods, optimization tools, mean/variance portfolio optimization and financial networks, this is the ideal introduction for financial services professionals, and graduate students in finance and data science.
Lingua: Inglese
Editore: Princeton University Press, US, 2009
ISBN 10: 0691143684 ISBN 13: 9780691143682
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
EUR 120,13
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Aggiungi al carrelloHardback. Condizione: New. Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so useful in real applications that it is difficult to tackle such problems today without considering this powerful methodology. Written by the principal developers of robust optimization, and describing the main achievements of a decade of research, this is the first book to provide a comprehensive and up-to-date account of the subject. Robust optimization is designed to meet some major challenges associated with uncertainty-affected optimization problems: to operate under lack of full information on the nature of uncertainty; to model the problem in a form that can be solved efficiently; and to provide guarantees about the performance of the solution. The book starts with a relatively simple treatment of uncertain linear programming, proceeding with a deep analysis of the interconnections between the construction of appropriate uncertainty sets and the classical chance constraints (probabilistic) approach.It then develops the robust optimization theory for uncertain conic quadratic and semidefinite optimization problems and dynamic (multistage) problems. The theory is supported by numerous examples and computational illustrations. An essential book for anyone working on optimization and decision making under uncertainty, Robust Optimization also makes an ideal graduate textbook on the subject.
Lingua: Inglese
Editore: Princeton University Press, 2009
ISBN 10: 0691143684 ISBN 13: 9780691143682
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 102,29
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EUR 105,79
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Aggiungi al carrelloHardcover. Condizione: Brand New. 414 pages. 8.00x0.94x10.00 inches. In Stock.
Lingua: Inglese
Editore: Princeton University Press, US, 2009
ISBN 10: 0691143684 ISBN 13: 9780691143682
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 126,62
Quantità: 2 disponibili
Aggiungi al carrelloHardback. Condizione: New. Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so useful in real applications that it is difficult to tackle such problems today without considering this powerful methodology. Written by the principal developers of robust optimization, and describing the main achievements of a decade of research, this is the first book to provide a comprehensive and up-to-date account of the subject. Robust optimization is designed to meet some major challenges associated with uncertainty-affected optimization problems: to operate under lack of full information on the nature of uncertainty; to model the problem in a form that can be solved efficiently; and to provide guarantees about the performance of the solution. The book starts with a relatively simple treatment of uncertain linear programming, proceeding with a deep analysis of the interconnections between the construction of appropriate uncertainty sets and the classical chance constraints (probabilistic) approach.It then develops the robust optimization theory for uncertain conic quadratic and semidefinite optimization problems and dynamic (multistage) problems. The theory is supported by numerous examples and computational illustrations. An essential book for anyone working on optimization and decision making under uncertainty, Robust Optimization also makes an ideal graduate textbook on the subject.