deep learning

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The term "tensor" is often misunderstood. Let's figure out what they are through vector examples like velocity, angular momentum, the stress tensor, and the electromagnetic tensor. A tensor is a generalization of vectors and matrices and is easily understood as…

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Kubernetes and Kubeflow are becoming common tools for building ML Platforms, but require significant investment to configure the open source tools for reliability and scalability. SageMaker is a managed service and provides direct integrations with Kubernetes Operators and Kubeflow Pipeline…

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This tutorial will explain how state-of-the-art algorithms built into Amazon SageMaker are used to detect declines in machine learning (ML) model quality. One of the big factors that can affect the accuracy of models is the difference in the data…