000 | 01213nam a2200349 i 4500 | ||
---|---|---|---|
001 | 000315669 | ||
003 | Th-BaBU | ||
005 | 20250302080540.0 | ||
008 | 131029s2019 maua f b 001 0 eng d | ||
020 | _a9780134116549 | ||
040 |
_aTh-BaBU _cTh-BaBU |
||
050 | 0 |
_aQ325.5 _bK444M 2019 |
|
100 | 1 |
_aKelleher, Andrew, _eauthor _9153586 |
|
245 | 1 | 0 |
_aMachine learning in production : _bdeveloping and optimizing data science workflows and applications / _cAndrew Kelleher, Adam Kelleher |
264 |
_aBoston, Calif. : _bAddison-Wesley, _c©2019 |
||
300 |
_axx, 255 pages : _billustrations (some colors) |
||
336 |
_atext _2rdacontent |
||
337 |
_aunmediated _2rdamedia |
||
338 |
_avolume _2rdacarrier |
||
490 | 0 | _aAddison-Wesley data & analytics series | |
504 | _aIncludes bibliographical references and index | ||
650 | 0 |
_aMachine learning _9153443 |
|
650 | 0 |
_aCloud computing _9153587 |
|
650 | 0 |
_aQuantitative research _9153588 |
|
650 | 0 |
_aMathematical statistics _xData processing _9150874 |
|
700 | 1 |
_aKelleher, Adam, _eauthor _9153589 |
|
946 |
_a58-2 _bNew titles in November 2019 |
||
990 |
_asci _bsci |
||
991 | 0 | 0 | _a2600 |
997 | _b20191121 | ||
942 |
_2lcc _cBK |
||
999 |
_c250375 _d250375 |