AWS SageMaker AI technology page Top Builders
Explore the top contributors showcasing the highest number of AWS SageMaker AI technology page app submissions within our community.
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AWS SageMaker
Amazon SageMaker is a fully-managed machine learning service that makes it easy for data scientists and developers to quickly and easily build, train, and deploy models into a production-ready hosted environment. It provides an integrated Jupyter notebook instance for convenient access to data sources for exploration and analysis, eliminating the need to manage servers. Additionally, it offers optimized common machine learning algorithms that are designed to function efficiently with large data sets in distributed environments. SageMaker also allows users to bring their own algorithms and frameworks and offers flexible distributed training that can be adapted to individual workflows. Models can be quickly deployed into a secure and scalable environment using the SageMaker Studio or the SageMaker console.
| General | |
|---|---|
| Relese date | November 29, 2017 |
| Author | AWS |
| Type | Learning Service |
AWS Amazon SageMaker Libraries
Discover the AWS Amazon SageMaker libraries and SDKs.
- AWS Amazon SageMaker Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows
- SageMaker Tutorials Machine Learning Tutorials with Amazon SageMaker
AWS SageMaker AI technology page Hackathon projects
Discover innovative solutions crafted with AWS SageMaker AI technology page, developed by our community members during our engaging hackathons.
