000			a
999			_c33349 _d33349
008			241118b xxu||||| |||| 00| 0 eng d
020			_a9780198844396
082			_a005.7 _bSMI
100			_aSmith, Gary
245			_aThe 9 pitfalls of data science
260			_bOxford University Press, _c2019 _aOxford :
300			_a256 P. ; _bill., _c21 cm.
365			_b1195.00 _c₹ _d01
504			_aIncludes bibliographical references and index.
520			_aData science has never had more influence on the world. Large companies are now seeing the benefit of employing data scientists to interpret the vast amounts of data that now exists. However, the field is so new and is evolving so rapidly that the analysis produced can be haphazard at best. 'The 9 Pitfalls of Data Science' shows us real-world examples of what can go wrong. Written to be an entertaining read, this invaluable guide investigates the all too common mistakes of data scientists - who can be plagued by lazy thinking, whims, hunches, and prejudices - and indicates how they have been at the root of many disasters, including the Great Recession.
650			_aBig data
650			_aQuantitative research
650			_aData science
650			_aBaseball regression
650			_aBrazilian Jiu-Jitsu
650			_aCoin sreaks
650			_aCredit default swaps
650			_a P-hacking
650			_aP-value
650			_aSabermetrics
650			_aTexas Sharpshooter Fallacy
650			_aArtificial Intelligence
700			_aCordes, Jay
942			_2ddc _cBK