000 | 01581cam a22004095i 4500 | ||
---|---|---|---|
999 |
_c28231 _d28202 |
||
001 | 18505397 | ||
003 | EG-ScBUE | ||
005 | 20200304150715.0 | ||
008 | 150224s2013 cc a f b 001 0 eng d | ||
020 | _a9781449358655 | ||
035 | _a(OCoLC)ocn827841776 | ||
040 |
_aYDXCP _beng _erda _cYDXCP _dBDX _dUKMGB _dBTCTA _dZCU _dCDX _dOCLCF _dOKN _dTOH _dUKWOH _dDLC _dEG-ScBUE |
||
082 | 0 | 4 |
_a006.3 _bQNE _222 |
100 | 1 |
_aO'Neil, Cathy, _eauthor. |
|
245 | 1 | 0 |
_aDoing data science / _cCathy O'Neil and Rachel Schutt. |
246 | 3 | 4 |
_aDoing data science : _bstraight talk from the frontline |
250 | _aFirst edition. | ||
250 | _aThird release. | ||
264 | 1 |
_aBeijing ; _aSebastopol, CA : _bO'Reilly Media, _c2014. |
|
300 |
_axxv, 377 pages : _billustrations ; _c23 cm |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_aunmediated _bn _2rdamedia |
||
338 |
_avolume _bnc _2rdacarrier |
||
504 | _aIncludes bibliographical references and index. | ||
520 | _aA guide to the usefulness of data science covers such topics as algorithms, logistic regression, financial modeling, data visualization, and data engineering. | ||
650 | 7 |
_aBig data. _2BUEsh |
|
650 | 7 |
_aData mining. _2BUEsh |
|
650 | 7 |
_aInformation science. _2BUEsh |
|
650 | 7 |
_aData structures (Computer science) _2BUEsh |
|
650 | 7 |
_aDatabase management. _2BUEsh |
|
650 | 7 |
_aCyberinfrastructure. _2BUEsh |
|
653 |
_bCOMSCI _cMarch2020 |
||
655 |
_vReading book _934232 |
||
700 | 1 |
_aSchutt, Rachel, _d1976- _eauthor. |
|
942 |
_2ddc _cBB |