Machine Learning at the Edge (Level 300)
840
25.5
Amazon Web Services782 тыс
Следующее
03.04.19 – 12 56522:04Популярные
Опубликовано 3 апреля 2019, 17:43
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Advances in data analytics tools have enabled data driven decision making. However, it is not always possible to send data to the cloud to be processed. In this session, learn how to train machine learning models using Amazon SageMaker and deploy them to an edge device using AWS Greengrass. Find out how to enable and process data quickly at the edge, even when there is no connectivity.
Speaker: Kapil Pendse, Partner Solution Architect, AWS, ASEAN
Advances in data analytics tools have enabled data driven decision making. However, it is not always possible to send data to the cloud to be processed. In this session, learn how to train machine learning models using Amazon SageMaker and deploy them to an edge device using AWS Greengrass. Find out how to enable and process data quickly at the edge, even when there is no connectivity.
Speaker: Kapil Pendse, Partner Solution Architect, AWS, ASEAN
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