BANGKOK UNIVERSITY LIBRARY AND LEARNING SPACE

Your cart is empty.

Big data science in finance / by Irene Aldridge, Marco Avellaneda.

By: Aldridge, Irene, 1975- [author.].
Contributor(s): Avellaneda, Marco, 1955- [author.].
Material type: materialTypeLabelBookPublisher: Hoboken, New Jersey : John Wiley & Sons, Inc., [2021]Description: 1 online resource (viii, 328 pages) : color illustrations.Content type: text Media type: computer Carrier type: online resourceISBN: 9781119602972; 1119602971; 9781119602996; 1119602998.Call No.: HG4012.5 Subject(s): Finance -- Decision making -- Data processing | Big data | Neural networks (Computer science) | Finance -- Mathematical models | Finances -- Prise de d�ecision -- Informatique | Donn�ees volumineuses | R�eseaux neuronaux (Informatique) | Finances -- Mod�eles math�ematiques | Electronic books | Big data | Finance -- Decision making -- Data processing | Finance -- Mathematical models | Neural networks (Computer science)Additional physical formats: Print version:: Big data science in finance.DDC classification: 332.0285/57 Online resources: EBSCOhost
Contents:
Why big data? -- Neural networks in finance -- Supervised learning -- Modeling human behavior with semi-supervised learning -- Letting the data speak with unsupervised learning -- Big data factor models -- Data as a signal versus noise -- Applications : unsupervised learning in option pricing and stochastic modeling -- Data clustering.
Bibliography, etc. Note: Includes bibliographical references and index.Local Note(s): WorldCat record variable field(s) change: 650Summary: "Data Science has overtaken the way the finance and investment is done on Wall Street. All tools and techniques driving decision-making are being revamp with the help of applied mathematics and code"-- Provided by publisher
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
No physical items for this record

Includes bibliographical references and index.

Why big data? -- Neural networks in finance -- Supervised learning -- Modeling human behavior with semi-supervised learning -- Letting the data speak with unsupervised learning -- Big data factor models -- Data as a signal versus noise -- Applications : unsupervised learning in option pricing and stochastic modeling -- Data clustering.

"Data Science has overtaken the way the finance and investment is done on Wall Street. All tools and techniques driving decision-making are being revamp with the help of applied mathematics and code"-- Provided by publisher

Online resource; title from resource home page (ProQuest Ebook Central), viewed February 22, 2021.

WorldCat record variable field(s) change: 650

There are no comments for this item.

to post a comment.

Click on an image to view it in the image viewer


- Copyright © 2022 Library and Learning Space -

Powered by Koha