Remove Auto-complete Remove Data Drift Remove ETL
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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning Blog

The suite of services can be used to support the complete model lifecycle including monitoring and retraining ML models. Query training results: This step calls the Lambda function to fetch the metrics of the completed training job from the earlier model training step.

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How Kakao Games automates lifetime value prediction from game data using Amazon SageMaker and AWS Glue

AWS Machine Learning Blog

Challenges In this section, we discuss challenges around various data sources, data drift caused by internal or external events, and solution reusability. For example, Amazon Forecast supports related time series data like weather, prices, economic indicators, or promotions to reflect internal and external related events.