000 | 00912nam a22002297a 4500 | ||
---|---|---|---|
003 | OSt | ||
005 | 20230103201850.0 | ||
008 | 230103b |||||||| |||| 00| 0 eng d | ||
020 | _a9781492083290 | ||
040 | _c0 | ||
082 | _a006.31 TRE | ||
092 | _20 | ||
100 | _aTreveil, Mark | ||
245 |
_a Introducing MLOps : _bhow to scale machine learning in the enterprise _cMark Treveil (Author), Léo Dreyfus-Schmidt (Author), Kenji Lefevre (Author), Nicolas Omont (Author) |
||
260 |
_aSebastopol, CA _bO'Reilly Media, Inc. _c2020 |
||
300 |
_a1 v. (unpaged) _c30 cm |
||
520 | _aThis book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. | ||
650 | _aMachine learning | ||
843 | _aPhotocopy | ||
887 | _2CamTech Library | ||
942 |
_2ddc _cBK _n0 |
||
999 |
_c764 _d764 |