Amazon Sage Maker
Amazon Sage Maker
Create, educate, and implement ML models for any purpose with managed infrastructure, tools, and processes.
Pricing
Tool Info
Rating: N/A (0 reviews)
Date Added: October 26, 2023
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Description
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 standardized MLOps practices and governance across organizations to support transparency and auditability. Amazon SageMaker is suitable for a variety of use cases, such as business analysts making ML predictions using SageMaker Canvas, data scientists preparing data and building, training, and deploying models with SageMaker Studio, and ML engineers deploying and managing models at scale with SageMaker MLOps. It is built on Amazon’s two decades of experience developing real-world ML applications, and supports the leading ML frameworks, toolkits, and programming languages.
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.
