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AWS Machine Learning

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Summary

The machine learning section at AWS brings together learning services and resources to build, train, and deploy models. The point is Amazon SageMaker with end-to-end tools, powered by ready-made AI services and specialized machine learning chips. Various levels of ability are supported, from beginners using pre-trained models to experienced data scientists.

Key points

SageMaker provides build, train, deploy, and monitor model environments
AI services ready for emergency needs without training
Trainium chips for training and Inferentia for cost-effective inference
MLOps: versioning of data, drift monitoring, and gradual deployment
Common use case: classification, prediction, NLP, and recommendations

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