Amazon Sage Maker
Create, educate, and implement ML models for any purpose with managed infrastructure, tools, and processes.
December 29th, 2024
About Amazon Sage Maker
Amazon SageMaker is a fully managed service that provides users with the tools and workflows to build, train, and deploy machine learning (ML) models for any use case. It offers a range of features to help data scientists and business analysts access, label, and process large amounts of structured and unstructured data for ML, reducing training time from hours to minutes with optimized infrastructure and increasing team productivity up to 10 times. Additionally, it provides automated and standar...
Key Features
- Variety of tools for data scientists and business analysts
- Access, label, and process large amounts of structured and unstructured data for ML
- Accelerated training time from hours to minutes with optimized infrastructure
- Up to 10x increase in team productivity with specialized tools
- Automation and standardization of MLOps practices and governance across organizations for transparency and auditability
Use Cases
- Business analysts can use Amazon SageMaker to make ML predictions using SageMaker Canvas.
- Data scientists can use Amazon SageMaker to prepare data and build, train, and deploy models with SageMaker Studio.
- ML engineers can use Amazon SageMaker to deploy and manage models at scale with SageMaker MLOps.
- Amazon SageMaker supports leading ML frameworks, toolkits, and programming languages.
- Amazon SageMaker can be used to develop real-world ML applications, such as product recommendations, personalization, intelligent shopping, robotics, and voice-assisted devices.
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