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Intelligent Workloads at the Edge : Deliver Cyber-Physical Outcomes with Data and Machine Learning Using AWS IoT Greengrass
- Author / Creator
- Available as
- Online
- Summary
-
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 ...
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 discovering how to create software applications that run on edge devices with AWS IoT Greengrass. As you advance, youll learn how to process and stream IoT data from the edge to the cloud and use it to train ML models using Amazon SageMaker.
Details
- Format
- Books
- Language
- English
- Contributors
- Publication
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- Birmingham : Packt Publishing, Limited, 2022
- Physical Details
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- 1 online resource (374 p.)
- ISBNs
- 9781801811781, 1801811784
- OCLC
- on1293260891
- 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