Machine learning model serving patterns and best practices a definitive guide to deploying, monitoring and providing easy accessibility to machine learning models in production
Become a successful machine learning professional by effortlessly deploying machine learning models to production and implementing cloud-based machine learning models for widespread organizational use Key Features Learn best practices about bringing your models to production Explore the tools availa...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Birmingham, England :
Packt Publishing, Limited
[2022]
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| Edición: | 1st ed |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009711811406719 |
Tabla de Contenidos:
- Table of Contents Introducing Model Serving Introducing Model Serving Patterns Stateless Model Serving Continuous Model Evaluation Keyed Prediction Batch Model Serving Pattern Online Learning Model Serving Two-Phase Model Pattern Pipeline Pattern Model Serving Ensemble Model Serving Pattern Business Logic Pattern Exploring Tensorflow Serving Using Ray Serve Using BentoML Serving ML Models using a Fully Managed Cloud Solution.
