Big data science in finance / by Irene Aldridge, Marco Avellaneda.
Material type:
TextPublisher: Hoboken, New Jersey : Wiley, [2021]Description: 1 online resourceContent type: - text
- computer
- online resource
- 9781119602972
- 9781119602996
- 332.0285/57 23
- HG4012.5
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Library Collection 2 General Stacks | Fiction | 635 DATA-0474638765 (Browse shelf(Opens below)) | c1 | In transit from Library Collection 2 to Library Collection 3 since 09/20/2023 | 7743231 |
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| 635 DATA-0474638765 Big data science in finance / |
Includes bibliographical references and index.
Why big data? -- Neural networks in finance -- Supervised models -- Semi-supervised learning -- Letting the data speak with unsupervised learning -- Big data factor models -- Data as a signal versus noise -- Applications : big data in options 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.
Description based on print version record and CIP data provided by publisher; resource not viewed.
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