Process Data and Evaluate Models using Amazon SageMaker Processing (Hebrew)

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To analyze data and evaluate machine learning models on Amazon SageMaker, use Amazon SageMaker Processing. With Processing, you can use a simplified, managed experience on SageMaker to run your data processing workloads, such as feature engineering, data validation, model evaluation, and model interpretation. You can also use the Amazon SageMaker Processing APIs during the experimentation phase and after the code is deployed in production to evaluate performance.

Resources:
Documentation - https://docs.aws.amazon.com/sagemaker/latest/dg/processing-job.html
Code Samples: https://github.com/aws/amazon-sagemaker-examples/tree/master/sagemaker_processing Subscribe to AWS Online Tech Talks On AWS:
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AWS Developers
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