000			02890cam a22005057i 4500
001			21729234
003			JO-AjAnu
005			20241020111505.0
008			200925t20202020nyuad b 001 0 eng d
010			_a 2020430361
020			_a9781617295874 _q(pbk. ; _qalk. paper)
035			_a(OCoLC)on1129203536
040			_aTOH _beng _erda _cTOH _dBDX _dWVU _dJRZ _dTOH _dGZN _dOCLCF _dCHVBK _dOCLCO _dNJR _dYDXIT _dDLC _dJO-AjAnu
041			_aENG
042			_alccopycat
050	0	0	_aQA276.45.R3 _bZ86 2020
082	0	4	_a006.312 _223
100	1		_aZumel, Nina, _eauthor.
245	1	0	_aPractical data science with R / _cNina Zumel and John Mount ; foreword by Jeremy Howard and Rachel Thomas.
250			_aSecond edition.
264		1	_aShelter Island, NY : _bManning., _c[2020]
300			_axxvii, 536 pages ; _c24 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references (pages 519-521) and index.
505	0		_aIntroduction to data science -- Modeling methods -- Working in the real world.
520			_a"Evidence-based decisions are crucial to success. Applying the right data analysis techniques to your carefully curated business data helps you make accurate predictions, identify trends, and spot trouble in advance. The R data analysis platform provides the tools you need to tackel day-to-day data analysis and machine learning tasks efficiently and effectively. "Practical data science with R, second edition" is a task-based tutorial that leads readers through dozens of useful data analysis practices using the R language. By concentrating on the most important tasks you'll face on the job, this friendly guide is comfortable both for business analysts and data scientists. Because data is only useful if it can be understood, you'll also find fantastic tips for organizing and presenting data in tables, as well as snappy visualizations."-- _cProvided by publisher
650		0	_aR (Computer program language)
650		0	_aMathematical statistics _xData processing.
650		0	_aData mining.
650		7	_aCOMPUTERS / Database Management / Data Mining. _2bisacsh
650		7	_aData mining. _2fast _0(OCoLC)fst00887946
650		7	_aMathematical statistics _xData processing. _2fast _0(OCoLC)fst01012133
650		7	_aR (Computer program language) _2fast _0(OCoLC)fst01086207
650		7	_aData Mining _2gnd
650		7	_aDatenanalyse _2gnd
650		7	_aR _2gnd _gProgramm
700	1		_aMount, John _c(Computational scientist), _eauthor.
700	1		_aHoward, Jeremy, _ewriter of foreword.
700	1		_aThomas, Rachel L. _q(Rachel Lee), _d1983- _ewriter of foreword.
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
942			_2lcc _cBK _n0
999			_c33808 _d33808