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Run your local machine learning code as Amazon SageMaker Training jobs with minimal code changes

AWS Machine Learning

This capability simplifies the SageMaker constructs that you need to learn to be able to run code using SageMaker Training. trainer.train() trainer.save_model(model_dir) After you run the training job, you can run the rest of the cells in the notebook to inspect the evaluation metrics and classify the text on our trained model.

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Streamline Sales Processes with Enterprise CPQ

Cincom

Workflow automation manages optimal deal construction, including automated approvals, version histories, and progress tracking to ensure smooth transitions through each milestone. Integration eliminates toggling between systems to access required data. Cincom CPQ empowers providers to know their customers and respond appropriately.