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Amazon SageMaker AI
service · part of Amazon Web Services
End-to-end platform to build, train and deploy machine-learning models at scale.
Inside Amazon SageMaker AI (4)
- Amazon SageMaker Clarify — Amazon SageMaker Clarify is a service for detecting bias and explaining model predictions in machine learning workflows.
- Data Wrangler — A no-code interface within SageMaker for importing, joining, and transforming datasets; includes a Bedrock-powered chatbot for querying and transforming data conversationally.
- Model configuration — Selecting the target column (the value to predict) and choosing the model type (e.g.
- SageMaker Canvas — SageMaker Canvas is a visual, no-code interface within Amazon SageMaker AI that enables users to build custom machine learning models on their own datasets without writing code.
Connections
- Uses Data Wrangler
- Uses Ideation with GenAI
- Builds on Guardrails
- Offered by Amazon Web Services
Also known as: Amazon SageMaker AI, SageMaker AI
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