Blog Tags: Deployment Tips
REST API with AWS SageMaker: Deploying Custom Machine Learning Models
Learn how to deploy custom Machine Learning (ML) models using AWS SageMaker and REST API. Understand the steps involved, including setting up the environment, training models, and creating endpoints for real-time predictions, as well as why to integrate ML models with REST APIs for scalable deployment.
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