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Amazon SageMaker

Rating:

4.8 / 5.0

Tags

Machine Learning, ML Platform, Cloud Service, AWS, MLOps, AutoML, Data Science

Categories:
Machine learning and neural networks
Creator Amazon Web Services (AWS)
Date 2017-11-29
Platforms Cloud Platform, API, AWS Console
Status Active
Website aws.amazon.com
Price Model Pay-as-you-go
Sections:
Automated ML (AutoML)ML PlatformsModel DeploymentModel Training

Pricing Details

Pay-as-you-go for resources used (compute instances for training and hosting, storage, data preparation and AutoML service usage). A free tier is available.

Features

End-to-end ML platform, data preparation, model building, training, tuning, deployment, MLOps, AutoML, notebooks, integrated with AWS ecosystem.

Integrations

Deep integration with other AWS services (S3, Lambda, EC2, ECR, Glue, etc.). Supports popular ML frameworks.

Preview

Amazon SageMaker is a fully managed service from Amazon Web Services (AWS) that provides developers and data scientists with tools to quickly build, train, and deploy machine learning models at scale. SageMaker covers the entire ML workflow, including data preparation (SageMaker Data Wrangler), model building (SageMaker Studio), training (SageMaker Training), hyperparameter tuning (SageMaker Automatic Model Tuning), and deployment for predictions (SageMaker Hosting). The service supports popular ML frameworks and integrates with other AWS services, making it a powerful and flexible solution for a wide range of machine learning tasks.