Intelligent Workloads at the Edge : Deliver Cyber-Physical Outcomes with Data and Machine Learning Using AWS IoT Greengrass

Intelligent Workloads at the Edge Deliver Cyber-Physical Outcomes with Data and Machine Learning Using AWS IoT Greengrass

With edge computing, machine learning (ML) frameworks can analyze and process information locally at the source where the data is generated. This book will teach you to combine the technologies of edge computing and machine learning to deliver next-generation cyber-physical outcomes. Youll begin by...

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Detalles Bibliográficos
Autor principal: Mitra, Indraneel (-)
Otros Autores: Burke, Ryan
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, Limited 2022.
Materias:
Amazon Web Services (Firm)
Machine learning.
Cloud computing.
Web services.
Big data.
Application software.
Internet of things.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009644268406719
Tabla de Contenidos:
  • Table of Contents Introduction to the Data-Driven Edge with Machine Learning Foundations of Edge Workloads Building the Edge Extending the Cloud to the Edge Ingesting and Streaming Data from the Edge Processing and Consuming Data on the Cloud Machine Learning Workloads at the Edge DevOps and MLOps for the Edge Fleet Management at Scale Reviewing the Solution with AWS Well-Architected Framework.

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