1 online resource (viii, 328 pages) : color illustrations
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
Summary
"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
Bibliography
Includes bibliographical references and index
Notes
Online resource; title from resource home page (ProQuest Ebook Central), viewed February 22, 2021
