Building an interactive and scalable ML research environment using AWS ParallelCluster

Favorite When it comes to running distributed machine learning (ML) workloads, AWS offers you both managed and self-service offerings. Amazon SageMaker is a managed service that can help engineering, data science, and research teams save time and reduce operational overhead. AWS ParallelCluster is an open-source, self-service cluster management tool for

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Shared by AWS Machine Learning November 6, 2019

Building an interactive and scalable ML research environment using AWS ParallelCluster

Favorite When it comes to running distributed machine learning (ML) workloads, AWS offers you both managed and self-service offerings. Amazon SageMaker is a managed service that can help engineering, data science, and research teams save time and reduce operational overhead. AWS ParallelCluster is an open-source, self-service cluster management tool for

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Shared by AWS Machine Learning November 6, 2019

AWS Machine Learning Research Awards Call for Proposal

Favorite Academic research and open-source software development are at the forefront of machine learning (ML) technology development. Since 2017, the AWS Machine Learning Research Awards (MLRA) has been aiming to advance machine learning by funding innovative research, training students, and providing researchers with access to the latest technology. MLRA has

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Shared by AWS Machine Learning November 1, 2019