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 Online-Ressource
Verfasst von:Doloc, Cris [VerfasserIn]   i
Titel:Applications of computational intelligence in data-driven trading
Verf.angabe:Cris Doloc
Verlagsort:Hoboken, New Jersey
Verlag:Wiley
E-Jahr:2020
Jahr:[2020]
Umfang:1 online resource (xv, 272 pages)
Fussnoten:Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on December 16, 2019)
ISBN:1-119-55052-1
 978-1-119-55052-5
 978-1-119-55050-1
Abstract:"The objective of this book is to introduce the reader to the field of Computational Finance using the framework of Machine Learning as a tool of scientific inquiry. It is an attempt to integrate these two topics: how to use Machine Learning as the tool of choice in solving topical problems in Computational Finance. Readers will learn modern methods used by financial engineers and quantitative analysts to access, process, and interpret data. Throughout, there are case studies that are representative of relevant problems in modern finance. Topics covered include Time Series analysis, forecasting, Dynamic Programming, and Neural Networks"--
URL:Aggregator: https://learning.oreilly.com/library/view/-/9781119550501/?ar
Datenträger:Online-Ressource
Sprache:eng
Bibliogr. Hinweis:Erscheint auch als : Druck-Ausgabe
Sach-SW:Ingénierie financière ; Études de cas
 Intelligence informatique ; Études de cas
 Apprentissage automatique ; Études de cas
 Computational intelligence
 Financial engineering
 Machine learning
 Case studies
K10plus-PPN:1903894158
 
 
Lokale URL UB: Zum Volltext
 
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