Language: English
Published by Wiley-Interscience (edition 1), 1997
ISBN 10: 0471176281 ISBN 13: 9780471176282
Seller: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condition: 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.
Language: German
Published by Independently published, 2019
ISBN 10: 1090281951 ISBN 13: 9781090281951
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: German
Published by Independently published, 2019
ISBN 10: 1090281951 ISBN 13: 9781090281951
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: Ammareal, Morangis, France
No jacket. Condition: 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.
Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Seller: PsychoBabel & Skoob Books, Didcot, United Kingdom
Hardcover. Condition: Good. Sound publiation with clean pages and clear content. Typical (but minimal) library markings.
Language: German
Published by Independently published, 2019
ISBN 10: 1090281951 ISBN 13: 9781090281951
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 45.68
Quantity: Over 20 available
Add to basketCondition: New. In.
Language: German
Published by Independently published, 2019
ISBN 10: 1090281951 ISBN 13: 9781090281951
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Condition: Good. Good condition ex-library book with usual library markings and stickers.
Language: German
Published by Berlin, Springer Vieweg., 2018
ISBN 10: 366254167X ISBN 13: 9783662541678
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
25 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.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 1st Edition.
tapa dura. Condition: 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.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 2023rd edition NO-PA16APR2015-KAP.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 226 pages. 9.25x6.10x0.71 inches. In Stock.
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2024
ISBN 10: 3031190769 ISBN 13: 9783031190766
Seller: moluna, Greven, Germany
Kartoniert / Broschiert. Condition: New.
Language: English
Published by Springer International Publishing Mär 2024, 2024
ISBN 10: 3031190769 ISBN 13: 9783031190766
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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.
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3031190734 ISBN 13: 9783031190735
Seller: moluna, Greven, Germany
Gebunden. Condition: New.
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Mathematical Foundations of Data Science | Tomas Hrycej (u. a.) | Taschenbuch | Texts in Computer Science | xiii | Englisch | 2024 | Springer | EAN 9783031190766 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Condition: Sehr gut. Zustand: Sehr gut | Seiten: 380 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Language: German
Published by Independently published, 2019
ISBN 10: 1090281951 ISBN 13: 9781090281951
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Print on Demand.
Language: English
Published by Springer International Publishing, 2023
ISBN 10: 3031190734 ISBN 13: 9783031190735
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: 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.
Language: English
Published by John Wiley & Sons Inc, 1992
ISBN 10: 0471571547 ISBN 13: 9780471571544
Seller: Buchpark, Trebbin, Germany
Condition: Sehr gut. Zustand: Sehr gut | Seiten: 235 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Language: English
Published by Independently Published, 2019
ISBN 10: 1700348701 ISBN 13: 9781700348708
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
£ 10.49
Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Language: German
Published by INDEPENDENTLY PUBLISHED, 2019
ISBN 10: 1090281951 ISBN 13: 9781090281951
Seller: moluna, Greven, Germany
Condition: New.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Language: German
Published by Springer Berlin Heidelberg, 2017
ISBN 10: 366254167X ISBN 13: 9783662541678
Seller: moluna, Greven, Germany
Gebunden. Condition: New.
Language: German
Published by Springer, Berlin, Springer Berlin Heidelberg, Springer Vieweg, 2017
ISBN 10: 366254167X ISBN 13: 9783662541678
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: 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.