Applications of computational intelligence in data-driven trading, Cris Doloc
Type
Label
Applications of computational intelligence in data-driven trading, Cris Doloc
Language
eng
Bibliography note
Includes bibliographical references and index
Illustrations
illustrations
Index
index present
Literary Form
non fiction
Main title
Applications of computational intelligence in data-driven trading
Nature of contents
bibliography
Oclc number
1125277218
Responsibility statement
Cris Doloc
Summary
"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"--, Provided by publisher
Creator
Subject
Content
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Incoming Resources
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