000			02273cam a22005057i 4500
001			21921675
005			20251008141706.0
008			210302t20212021inua b 001 0 eng d
010			_a 2021934226
015			_aGBC198554 _2bnb
016	7		_a020235375 _2Uk
020			_a9781119741749
020			_a1119741742
035			_a21921675
035			_a(OCoLC)1225976897
040			_aYDX _beng _erda _cUCC Library _dBDX _dEWF _dOCLCO _dOCO _dCDX _dUKMGB _dOCL _dJTH _dOCLCO _dCDX _dVNVGU _dOCLCO _dDLC
042			_alccopycat
050	0	0	_aQA76.9.D343 _bG88 2021
082	0	4	_a006.3/12 _223/eng/20220913
100	1		_aGutman, Alex J., _eauthor.
245	1	0	_aBecoming a data head : _bhow to think, speak, and understand data science, statistics, and machine learning / _cAlex J. Gutman, Jordan Goldmeier.
246	3	0	_aData head
264		1	_aIndianapolis, Indiana : _bWiley, _c[2021]
264		4	_c©2021
300			_axl, 226 pages : _billustrations ; _c23 cm
336			_atext _btxt _2rdacontent
336			_astill image _bsti _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
500			_a"Published simultaneously in Canada"--Title page verso.
504			_aIncludes bibliographical references and index.
505	0		_aThinking like a data head. What is the problem? ; What is data? ; Prepare to think statistically -- Speaking like a data head. Argue with the data ; Explore the data ; Examine the probabilities ; Challenge the statistics -- Understanding the data scientist's toolbox. Search for hidden groups ; Understand the regression model ; Understand the classification model ; Understand the text analytics ; Conceptualize deep learning -- Ensuring success. Watch out for pitfalls ; Know the people and personalities ; What's next?
650		0	_aData mining.
650		0	_aMachine learning.
650		2	_aData Mining
650		2	_aMachine Learning
650		6	_aExploration de données (Informatique)
650		6	_aApprentissage automatique.
650		7	_aData mining _2fast
650		7	_aMachine learning _2fast
700	1		_aGoldmeier, Jordan, _eauthor.
906			_a7 _bcbc _ccopycat _d2 _eepcn _f20 _gy-gencatlg
942			_2ddc _cBK _n0
999			_c850 _d850