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...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
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Sebastopol, CA :
O'Reilly Media
[2017]
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| Edición: | First edition |
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630408906719 |
