Deploy machine learning models to production with flask, streamlit, docker, and kubernetes on google cloud platform
Build and deploy machine learning and deep learning models in production with end-to-end examples. This book begins with a focus on the machine learning model deployment process and its related challenges. Next, it covers the process of building and deploying machine learning models using different...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
New York, New York :
Appress L. P.
[2021]
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| Edición: | 1st ed. 2021. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631168506719 |
Tabla de Contenidos:
- Chapter 1: Introduction to Machine Learning
- Chapter 2: Model Deployment and Challenges
- Chapter 3: Machine Learning Deployment as a Web Service
- Chapter 4: Machine Learning Deployment Using Docker
- Chapter 5: Machine Learning Deployment Using Kubernetes.
