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23 Inspiring Women to Watch in 2023

TechSee

Serpil Timuray – CEO Europe Cluster and Member of Group Executive Committee, Vodafone – Serpil inspires us with her advocacy to close the global digital divide. Tabinda Kahn, TELUS International – Tabinda leads GTM activities for TELUS International as their Senior Digital Solutions Product Marketing Manager.

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Large-scale revenue forecasting at Bosch with Amazon Forecast and Amazon SageMaker custom models

AWS Machine Learning

Such manual efforts are especially challenging for large-scale, multinational business organizations that require revenue forecasts across a wide range of product groups and geographical areas at multiple levels of granularity. Any automated forecasting solution needs to provide forecasts at any arbitrary level of business-line aggregation.

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

AWS Machine Learning

You can include environment variables such as VPC, subnets, and security groups to launch SageMaker training jobs in the environment.yml file. Define metrics to log run.log_metric("metric_a", 0.5) In the example, the metrics A and B are logged for a run over time inside a training loop. Vikram Elango is a Sr.