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035   $a(MiAaPQ)EBC6452695
035   $a(CaSebORM)9781119602989
035   $a(PPN)272715352
035   $a(EXLCZ)994100000011715357
100   $a20210320d2021      uy             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aBig data science in finance /$fby Irene Aldridge, Marco Avellaneda
210  1$aHoboken, New Jersey :$cWiley,$d[2021]
210  4$dİ2021
215   $a1 online resource (339 pages)
311   $a1-119-60298-X 
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.
606   $aBig data
606   $aFinance$xDecision making$xData processing
615  0$aBig data.
615  0$aFinance$xDecision making$xData processing.
676   $a005.7
700   $aAldridge$b Irene$f1975-$0905693
702   $aAvellaneda$b Marco$f1955-
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910816064703321
996   $aBig data science in finance$94022456
997   $aUNINA