| 000 | 01101nam a2200217 4500 | ||
|---|---|---|---|
| 005 | 20250708122732.0 | ||
| 008 | 250708b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781617295836 | ||
| 082 | _a006.31 HUD | ||
| 100 | _aHudgeon, Doug | ||
| 245 |
_aMachine learning for business _b: using amazon sagemaker and jupyter |
||
| 260 |
_aNew York: _bManning Publications, _cc2020. |
||
| 300 | _axxi, 256p. | ||
| 500 | _aIncludes Index and bibliographic references | ||
| 520 | _aMachine Learning for Business teaches business-oriented machine learning techniques you can do yourself. Concentrating on practical topics like customer retention, forecasting, and back office processes, you ?ll work through six projects that help you form an ML-for-business mindset. To guarantee your success, you ?ll use the Amazon SageMaker ML service, which makes it a snap to turn your questions into results | ||
| 650 | _aMachine learning | ||
| 650 | _aBusiness enterprises-Technological innovations | ||
| 650 | _aArtificial intelligence-Industrial applications | ||
| 700 | _aNichol, Richard | ||
| 942 |
_2ddc _n0 _cC |
||
| 999 |
_c30500 _d30500 |
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