000			02094cam a22004578i 4500
001			21669830
003			OSt
005			20220101173213.0
006			m |o d |
007			cr |||||||||||
008			200725s2021 nju ob 001 0 eng
010			_a 2020032933
020			_a9781119602972 _q(epub)
020			_a9781119602996 _q(adobe pdf)
020			_z9781119602989 _q(hardback)
040			_aDLC _beng _cDLC _erda
042			_apcc
050	0	0	_aHG4012.5
082	0	0	_a332.0285/57 _223
100	1		_aAldridge, Irene, _d1975- _eauthor.
245	1	0	_aBig data science in finance / _cby Irene Aldridge, Marco Avellaneda.
263			_a2010
264		1	_aHoboken, New Jersey : _bWiley, _c[2021]
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_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.
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"-- _cProvided by publisher.
588			_aDescription based on print version record and CIP data provided by publisher; resource not viewed.
650		0	_aFinance _xDecision making _xData processing.
650		0	_aBig data.
650		0	_aNeural networks (Computer science)
650		0	_aFinance _xMathematical models.
700	1		_aAvellaneda, Marco, _d1955- _eauthor.
776	0	8	_iPrint version: _aAldridge, Irene, 1975- _tBig data science in finance _dHoboken, New Jersey : Wiley, [2021] _z9781119602989 _w(DLC) 2020032932
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK _n0
999			_c3 _d3