Big data science in finance / by Irene Aldridge, Marco Avellaneda.
By: Aldridge, Irene [author.].
Contributor(s): Avellaneda, Marco [author.].
Material type:![materialTypeLabel](/opac-tmpl/lib/famfamfam/BK.png)
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
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