Machine Learning at the Edge (Level 300)
839
25.4
Amazon Web Services775 тыс
Следующее
03.04.19 – 12 55022:04Популярные
7 дней – 1 0848:34
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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