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200 10$aBig data science in finance /$fby Irene Aldridge, Marco Avellaneda
210  1$aHoboken, New Jersey :$cWiley,$d[2021]
210  4$d©2021
215   $a1 online resource (339 pages)
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327   $aWhy 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.
330   $a"Data Science has overtaken the way the finance and investment is done on Wall Street. All tools and techniques driving decision-making are being revamp with the help of applied mathematics and code"--$cProvided by publisher.
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