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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| Formato: | Libro electrónico |
| Idioma: | Inglés |
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Birmingham :
Packt Publishing, Limited
2022.
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009644268406719 |
| Sumario: | 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. |
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| Descripción Física: | 1 online resource (374 p.) |
| ISBN: | 9781801811781 |
