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Batch scoring for deep learning models using Azure Machine Learning pipelines

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This reference architecture shows how to perform batch scoring with R models using Azure Batch. Azure Batch works well with intrinsically parallel workloads and includes job scheduling and compute management. Batch inference (scoring) is widely used to segment customers, forecast sales, predict customer behaviors, predict maintenance, or improve cyber security.

https://learn.microsoft.com/en-us/azure/architecture/ai-ml/architecture/batch-scoring-r-models

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Batch scoring for deep learning models using Azure Machine Learning pipelines