000			03115cam a2200553Ki 4500
001			9780429398292
003			FlBoTFG
005			20230516170538.0
006			m o d
007			cr |||||||||||
008			200717s2020 flua fob 000 0 eng d
040			_aOCoLC-P _beng _erda _epn _cOCoLC-P
020			_a9780429675683 _q(e-book)
020			_a0429675682 _q(e-book)
020			_a9780429398292 _q(electronic bk.)
020			_a0429398298 _q(electronic bk.)
020			_a9780429675669 _q(electronic bk. : Mobipocket)
020			_a0429675666 _q(electronic bk. : Mobipocket)
020			_a9780429675676 _q(electronic bk. : EPUB)
020			_a0429675674 _q(electronic bk. : EPUB)
020			_z9780367027056
035			_a(OCoLC)1196191610 _z(OCoLC)1200846302
035			_a(OCoLC-P)1196191610
050		4	_aQA300
072		7	_aMAT _x000000 _2bisacsh
072		7	_aMAT _x003000 _2bisacsh
072		7	_aPBW _2bicssc
082	0	4	_a515 _223
245	0	0	_aData science for mathematicians / _cedited by Nathan Carter.
250			_aFirst edition.
264		1	_aBoca Raton : _bChapman & Hall/CRC, _c2020.
300			_a1 online resource : _billustrations (black and white)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
505	0		_aProgramming with data / Sean Raleigh -- Linear algebra / Jeffery Leader -- Basic statistics / David White -- Clustering / Amy S. Wagaman -- Operations research / Alice Paul and Susan Martonosi -- Dimensionality reduction / Sofya Chepushtanova, Elin Farnell, Eric Kehoe, Michael Kirby, and Henry Kvinge -- Machine learning / Mahesh Agarwal, Nathan Carter, and David Oury -- Deep learning / Samuel S. Watson -- Topological data analysis / Henry Adams, Johnathan Bush, Joshua Mirth.
520			_aMathematicians have skills that, if deepened in the right ways, would enable them to use data to answer questions important to them and others, and report those answers in compelling ways. Data science combines parts of mathematics, statistics, computer science. Gaining such power and the ability to teach has reinvigorated the careers of mathematicians. This handbook will assist mathematicians to better understand the opportunities presented by data science. As it applies to the curriculum, research, and career opportunities, data science is a fast-growing field. Contributors from both academics and industry present their views on these opportunities and how to advantage them.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aMathematical analysis. _911486
650		0	_aMathematical statistics. _99597
650		0	_aData mining. _93907
650		0	_aBig data _xMathematics. _971394
650		7	_aMATHEMATICS / General _2bisacsh _971395
650		7	_aMATHEMATICS / Applied _2bisacsh _96859
700	1		_aCarter, Nathan C., _eeditor. _971396
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780429398292
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942			_cEBK
999			_c83018 _d83018