Practical machine learning with AWS : process, build, deploy, and productionize your models using AWS /
Successfully build, tune, deploy, and productionize any machine learning model, and know how to automate the process from data processing to deployment. This book is divided into three parts. Part I introduces basic cloud concepts and terminologies related to AWS services such as S3, EC2, Identity A...
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | Singh, Himanshu (Autor) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
[Berkeley, CA] :
Apress,
[2021]
|
Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Ejemplares similares
-
Practical machine learning with AWS : process, build, deploy, and productionize your models using AWS /
por: Singh, Himanshu
Publicado: (2021) -
Kubernetes on AWS : deploy and manage production-ready Kubernetes clusters on AWS /
por: Robinson, Ed, 1967-
Publicado: (2018) -
Intelligent Workloads at the Edge : Deliver Cyber-Physical Outcomes with Data and Machine Learning Using AWS IoT Greengrass.
por: Mitra, Indraneel
Publicado: (2022) -
Mastering Elastic Kubernetes Service on AWS Deploy and Manage EKS Clusters to Support Cloud-Native Applications in AWS /
por: Orr, Malcolm
Publicado: (2023) -
Introduction to Amazon machine learning : learn how to build data driven predictive applications with Amazon Web Services (AWS) /
Publicado: (2017)