Lingua: Inglese
Editore: Wiley-Interscience (edition 1), 1997
ISBN 10: 0471176281 ISBN 13: 9780471176282
Da: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Da: PsychoBabel & Skoob Books, Didcot, Regno Unito
EUR 28,59
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Good. Sound publiation with clean pages and clear content. Typical (but minimal) library markings.
Da: Ammareal, Morangis, Francia
EUR 47,69
Quantità: 1 disponibili
Aggiungi al carrelloNo jacket. Condizione: Bon. Ancien livre de bibliothèque avec équipements. Sans jaquette. Couverture différente. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. No dust jacket. Different cover. Ammareal gives back up to 15% of this item's net price to charity organizations.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 53,56
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Condizione: Good. Good condition ex-library book with usual library markings and stickers.
Condizione: New. 1st Edition.
Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
EUR 13,00
Quantità: 2 disponibili
Aggiungi al carrello25 cm, 561 g. VIII, 246 S. Gebunden. 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. Sprache: Deutsch.
EUR 41,53
Quantità: 1 disponibili
Aggiungi al carrellotapa dura. Condizione: Bien. Modular learning in neural networks : a modularized approach to neural network classification New York. 1992. 25 cm. xiii, 235 pages. Encuadernación en tapa dura de editorial con sobrecubierta. Idioma Inglés. Sixth-generation computer technology series. Includes index . ISBN: 0471571547 (=3134558=) PC188.
Da: Majestic Books, Hounslow, Regno Unito
EUR 77,86
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New. 2023rd edition NO-PA16APR2015-KAP.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 78,58
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 88,57
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 226 pages. 9.25x6.10x0.71 inches. In Stock.
Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Springer, 2024
ISBN 10: 3031190769 ISBN 13: 9783031190766
Da: moluna, Greven, Germania
EUR 55,78
Quantità: Più di 20 disponibili
Aggiungi al carrelloKartoniert / Broschiert. Condizione: New.
Lingua: Inglese
Editore: Springer International Publishing Mär 2024, 2024
ISBN 10: 3031190769 ISBN 13: 9783031190766
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 64,19
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook aims to point out the most important principles of data analysis from the mathematical point of view. Specifically, it selected these questions for exploring: Which are the principles necessary to understand the implications of an application, and which are necessary to understand the conditions for the success of methods used Theory is presented only to the degree necessary to apply it properly, striving for the balance between excessive complexity and oversimplification. Its primary focus is on principles crucial for application success.Topics and features:Focuses on approaches supported by mathematical arguments, rather than sole computing experiencesInvestigates conditions under which numerical algorithms used in data science operate, and what performance can be expected from themConsiders key data science problems: problem formulation including optimality measure; learning and generalization in relationships to training set size and number of free parameters; and convergence of numerical algorithmsExamines original mathematical disciplines (statistics, numerical mathematics, system theory) as they are specifically relevant to a given problemAddresses the trade-off between model size and volume of data available for its identification and its consequences for model parametrizationInvestigates the mathematical principles involves with natural language processing and computer visionKeeps subject coverage intentionally compact, focusing on key issues of each topic to encourage full comprehension of the entire bookAlthough this core textbook aims directly at students of computer science and/or data science, it will be of real appeal, too, to researchers in the field who want to gain a proper understanding of the mathematical foundations 'beyond' the sole computing experience.
Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3031190734 ISBN 13: 9783031190735
Da: moluna, Greven, Germania
EUR 77,17
Quantità: Più di 20 disponibili
Aggiungi al carrelloGebunden. Condizione: New.
Da: Buchpark, Trebbin, Germania
EUR 29,90
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Seiten: 235 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
EUR 29,90
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Seiten: 380 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Lingua: Inglese
Editore: Springer International Publishing, 2023
ISBN 10: 3031190734 ISBN 13: 9783031190735
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 90,94
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook aims to point out the most important principles of data analysis from the mathematical point of view. Specifically, it selected these questions for exploring: Which are the principles necessary to understand the implications of an application, and which are necessary to understand the conditions for the success of methods used Theory is presented only to the degree necessary to apply it properly, striving for the balance between excessive complexity and oversimplification. Its primary focus is on principles crucial for application success.Topics and features:Focuses on approaches supported by mathematical arguments, rather than sole computing experiencesInvestigates conditions under which numerical algorithms used in data science operate, and what performance can be expected from themConsiders key data science problems: problem formulation including optimality measure; learning and generalization in relationships to training set size and number of free parameters; and convergence of numerical algorithmsExamines original mathematical disciplines (statistics, numerical mathematics, system theory) as they are specifically relevant to a given problemAddresses the trade-off between model size and volume of data available for its identification and its consequences for model parametrizationInvestigates the mathematical principles involves with natural language processing and computer visionKeeps subject coverage intentionally compact, focusing on key issues of each topic to encourage full comprehension of the entire bookAlthough this core textbook aims directly at students of computer science and/or data science, it will be of real appeal, too, to researchers in the field who want to gain a proper understanding of the mathematical foundations 'beyond' the sole computing experience.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 12,38
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Da: moluna, Greven, Germania
EUR 17,93
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Tedesco
Editore: Springer Berlin Heidelberg, 2017
ISBN 10: 366254167X ISBN 13: 9783662541678
Da: moluna, Greven, Germania
EUR 49,99
Quantità: Più di 20 disponibili
Aggiungi al carrelloGebunden. Condizione: New.
Lingua: Tedesco
Editore: Springer, Berlin, Springer Berlin Heidelberg, Springer Vieweg, 2017
ISBN 10: 366254167X ISBN 13: 9783662541678
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 49,99
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Das Buch präsentiert eine Methodik für robuste Regelung, wie sie für sicherheitskritische Anwendungen wie autonomes Fahren erforderlich ist. Sie deckt alle notwendigen Schritte ab: quantitative Anforderungen an die Robustheit, Modellidentifikation aus Messdaten, Reglerentwurf und Maßnahmen bei auftretenden Instabilitäten. Alle Schritte sind praktisch durchführbar, und tragen dem typischen Qualifikationsprofil eines Entwicklungsingenieurs Rechnung, ohne enzyklopädisch auf die erhebliche Breite und Tiefe der Theorie der robusten Regelung zurückgreifen zu müssen. Um die dargestellten Algorithmen detailliert nachvollziehbar zu machen, kann die verwendete Software von der Verlags-Webseite als Zusatzmaterial heruntergeladen werden.
EUR 11,13
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Sprache: Deutsch | Produktart: Bücher | Keine Beschreibung verfügbar.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 103,93
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 57,52
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 53,67
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 54,23
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer, Berlin, Springer International Publishing, Springer, 2024
ISBN 10: 3031190769 ISBN 13: 9783031190766
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 64,19
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook aims to point out the most important principles of data analysis from the mathematical point of view. Specifically, it selected these questions for exploring: Which are the principles necessary to understand the implications of an application, and which are necessary to understand the conditions for the success of methods used Theory is presented only to the degree necessary to apply it properly, striving for the balance between excessive complexity and oversimplification. Its primary focus is on principles crucial for application success.Topics and features:Focuses on approaches supported by mathematical arguments, rather than sole computing experiencesInvestigates conditions under which numerical algorithms used in data science operate, and what performance can be expected from themConsiders key data science problems: problem formulation including optimality measure; learning and generalization in relationships to training set size and number of free parameters; and convergence of numerical algorithmsExamines original mathematical disciplines (statistics, numerical mathematics, system theory) as they are specifically relevant to a given problemAddresses the trade-off between model size and volume of data available for its identification and its consequences for model parametrizationInvestigates the mathematical principles involves with natural language processing and computer visionKeeps subject coverage intentionally compact, focusing on key issues of each topic to encourage full comprehension of the entire bookAlthough this core textbook aims directly at students of computer science and/or data science, it will be of real appeal, too, to researchers in the field who want to gain a proper understanding of the mathematical foundations 'beyond' the sole computing experience. 213 pp. Englisch.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 80,40
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.