000 | a | ||
---|---|---|---|
999 |
_c32335 _d32335 |
||
008 | 230912b xxu||||| |||| 00| 0 eng d | ||
020 | _a9780198864165 | ||
082 |
_a006.312 _bSMI |
||
100 | _aSmith, Gary | ||
245 | _aPhantom pattern problem : the mirage of big data | ||
260 |
_bOxford University Press, _c2020 _aOxford : |
||
300 |
_avii, 227 p. : _bill., (some col.), _c21 cm |
||
365 |
_b30.99 _cGBP _d109.80 |
||
504 | _aIncludes bibliographical references and index. | ||
520 | _aPatterns in data are often used as evidence, but how can you tell if that evidence is worth believing? 'The Phantom Pattern Problem' helps readers avoid being duped by data, tricked into worthless investing strategies, or scared out of getting vaccinations. Becoming a sceptical consumer of data is important in this age of Big Data. | ||
650 | _aBig data | ||
650 | _aData Mining | ||
650 | _aQuantitative research | ||
650 | _aComputer Science | ||
700 | _aCordes, Jay | ||
942 |
_2ddc _cBK |