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23 Inspiring Women to Watch in 2023

TechSee

Deborah Woods, Contact Center Manager, Costa Express Limited – With a strong track record of exceeding business metrics and a leader who can influence people at all levels and negotiate effectively, Deborah is a professional, goal-oriented people manager. We were excited to see her leading the conversation at MCW23 last week.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Query training results: This step calls the Lambda function to fetch the metrics of the completed training job from the earlier model training step. RMSE threshold: This step verifies the trained model metric (RMSE) against a defined threshold to decide whether to proceed towards endpoint deployment or reject this model.

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Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

AWS Machine Learning

AWS CDK provides the ability to manage changes for the complete solution. The automated pipeline includes steps for out-of-the-box model storage and metric tracking. About the Authors Kiran Kumar Ballari is a Principal Solutions Architect at Amazon Web Services (AWS).

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

AWS Machine Learning

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. Define metrics to log run.log_metric("metric_a", 0.5) Common metrics may include accuracy or loss. Vikram Elango is a Sr.