Hardcover. Zustand: Near Fine. 1st Edition. Near fine copy in softcover. Green spine with yellow titles. Tall 8vo.
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In den WarenkorbPaperback. Zustand: Brand New. 480 pages. 9.75x6.75x9.69 inches. In Stock.
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Hong Kong University Press, 2015
ISBN 10: 9888208799 ISBN 13: 9789888208791
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Zustand: New. Num Pages: 692 pages, 5 b&w illustrations. BIC Classification: LNTX. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 15. Weight in Grams: 1000. . 2016. second edition. Paperback. . . . . Books ship from the US and Ireland.
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In den WarenkorbHardcover. Zustand: Brand New. 73 pages. 8.75x5.50x0.50 inches. In Stock.
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Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3031151488 ISBN 13: 9783031151484
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Sprache: Englisch
Verlag: Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3031151518 ISBN 13: 9783031151514
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Taschenbuch. Zustand: Neu. Econometrics with Machine Learning | Felix Chan (u. a.) | Taschenbuch | Advanced Studies in Theoretical and Applied Econometrics | xxii | Englisch | 2023 | Springer | EAN 9783031151514 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book helps and promotes the use of machine learning tools and techniques in econometrics and explains how machine learning can enhance and expand the econometrics toolbox in theory and in practice.Throughout the volume, the authors raise and answer six questions: 1) What are the similarities between existing econometric and machine learning techniques 2) To what extent can machine learning techniques assist econometric investigation Specifically, how robust or stable is the prediction from machine learning algorithms given the ever-changing nature of human behavior 3) Can machine learning techniques assist in testing statistical hypotheses and identifying causal relationships in 'big data 4) How can existing econometric techniques be extended by incorporating machine learning concepts 5) How can new econometric tools and approaches be elaborated on based on machine learning techniques 6) Is it possible to develop machine learning techniques furtherand make them even more readily applicable in econometrics As the data structures in economic and financial data become more complex and models become more sophisticated, the book takes a multidisciplinary approach in developing both disciplines of machine learning and econometrics in conjunction, rather than in isolation. This volume is a must-read for scholars, researchers, students, policy-makers, and practitioners, who are using econometrics in theory or in practice.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book helps and promotes the use of machine learning tools and techniques in econometrics and explains how machine learning can enhance and expand the econometrics toolbox in theory and in practice.Throughout the volume, the authors raise and answer six questions: 1) What are the similarities between existing econometric and machine learning techniques 2) To what extent can machine learning techniques assist econometric investigation Specifically, how robust or stable is the prediction from machine learning algorithms given the ever-changing nature of human behavior 3) Can machine learning techniques assist in testing statistical hypotheses and identifying causal relationships in 'big data 4) How can existing econometric techniques be extended by incorporating machine learning concepts 5) How can new econometric tools and approaches be elaborated on based on machine learning techniques 6) Is it possible to develop machine learning techniques furtherand make them even more readily applicable in econometrics As the data structures in economic and financial data become more complex and models become more sophisticated, the book takes a multidisciplinary approach in developing both disciplines of machine learning and econometrics in conjunction, rather than in isolation. This volume is a must-read for scholars, researchers, students, policy-makers, and practitioners, who are using econometrics in theory or in practice.
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EUR 274,09
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In den WarenkorbPaperback. Zustand: Brand New. 393 pages. 9.25x6.10x0.81 inches. In Stock.