Librarian View
LEADER 02103cam a2200457 i 4500
001
991002341819707546
005
20221024171919.0
008
220310s2021 njua b 001 0 eng
010
a| 2020032932
020
a| 9781119602989
q| (Hardcover)
020
z| 9781119602996
q| (ePDF)
020
z| 9781119602972
q| (ePub)
035
a| (HKSYU)b21543008-852hksyu_inst
035
a| (DLC) 2020032932
035
a| (OCoLC)1183400160
040
a| LBSOR/DLC
b| eng
e| rda
c| DLC
d| OCLCO
d| OCLCF
d| YDX
d| HNK
d| HK-SYU
042
a| pcc
050
0
0
a| HG4012.5
b| .A53 2021
082
0
0
a| 332.0285/57
2| 23
092
0
a| 332.0285
b| ALD 2021
100
1
a| Aldridge, Irene,
d| 1975-
e| author.
245
1
0
a| Big data science in finance /
c| by Irene Aldridge, Marco Avellaneda.
264
1
a| Hoboken, New Jersey :
b| John Wiley & Sons, Inc.,
c| [2021]
264
4
c| ©2021
300
a| viii, 328 pages :
b| illustrations ;
c| 27 cm
336
a| text
b| txt
2| rdacontent
337
a| unmediated
b| n
2| rdamedia
338
a| volume
b| nc
2| rdacarrier
504
a| Includes bibliographical references and index.
505
0
a| 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.
520
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"--
c| Provided by publisher.
650
0
a| Finance
x| Decision making
x| Data processing.
650
0
a| Big data.
650
0
a| Neural networks (Computer science)
650
0
a| Finance
x| Mathematical models.
700
1
a| Avellaneda, Marco,
d| 1955-
e| author.
907
a| b21543008
b| 30-04-22
c| 10-03-22
910
a| nlw
b| mkl
935
a| (HK-SYU)501047597
9| ExL
998
a| book
b| 30-04-22
c| m
d| a
e| -
f| eng
g| nju
h| 0
i| 0
945
h| Supplement
l| location
i| barcode
y| id
f| bookplate
a| callnoa
b| callnob
n| FIN205