Amazon SageMaker PipelinesAmazon
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Amazon SageMaker StudioAmazon
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Related Products
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About
Using Amazon SageMaker Pipelines, you can create ML workflows with an easy-to-use Python SDK, and then visualize and manage your workflow using Amazon SageMaker Studio. You can be more efficient and scale faster by storing and reusing the workflow steps you create in SageMaker Pipelines. You can also get started quickly with built-in templates to build, test, register, and deploy models so you can get started with CI/CD in your ML environment quickly. Many customers have hundreds of workflows, each with a different version of the same model. With the SageMaker Pipelines model registry, you can track these versions in a central repository where it is easy to choose the right model for deployment based on your business requirements. You can use SageMaker Studio to browse and discover models, or you can access them through the SageMaker Python SDK.
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About
Amazon SageMaker Studio is an integrated development environment (IDE) that provides a single web-based visual interface where you can access purpose-built tools to perform all machine learning (ML) development steps, from preparing data to building, training, and deploying your ML models, improving data science team productivity by up to 10x. You can quickly upload data, create new notebooks, train and tune models, move back and forth between steps to adjust experiments, collaborate seamlessly within your organization, and deploy models to production without leaving SageMaker Studio. Perform all ML development steps, from preparing raw data to deploying and monitoring ML models, with access to the most comprehensive set of tools in a single web-based visual interface.
Amazon SageMaker Unified Studio is a comprehensive, AI and data development environment designed to streamline workflows and simplify the process of building and deploying machine learning models.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Individuals that need a first purpose-built CI/CD service for machine learning
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Audience
Professionals interested in a tool to perform all ML development steps, from preparing data to deploying and monitoring ML models
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationAmazon
Founded: 2006
United States
aws.amazon.com/sagemaker/pipelines/
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/sagemaker/studio/
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Alternatives |
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Categories |
Categories |
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Integrations
Amazon SageMaker
Amazon Web Services (AWS)
AWS Glue
Amazon EMR
Amazon SageMaker Data Wrangler
Amazon SageMaker Debugger
Jupyter Notebook
PyTorch
TensorFlow
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Integrations
Amazon SageMaker
Amazon Web Services (AWS)
AWS Glue
Amazon EMR
Amazon SageMaker Data Wrangler
Amazon SageMaker Debugger
Jupyter Notebook
PyTorch
TensorFlow
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