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Serving machine learning models : a guide to architecture, stream processing engines, and frameworks /
Model serving is a critical but often underappreciated aspect of machine learning. Once you have built a model using your training data set, you need to packageand deploy (i.e., serve) it. It's a surprisingly complex task, in part because modeltraining is usually handled by data scientists, and...
| Cote: | Libro Electrónico |
|---|---|
| Auteur principal: | |
| Format: | Électronique eBook |
| Langue: | Inglés |
| Publié: |
Sebastopol, CA :
O'Reilly Media,
[2017]
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| Édition: | First edition. |
| Sujets: | |
| Accès en ligne: | Texto completo (Requiere registro previo con correo institucional) |