Amazon SageMaker CanvasAmazon
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Amazon SageMaker StudioAmazon
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Related Products
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About
Amazon SageMaker Canvas expands access to machine learning (ML) by providing business analysts with a visual interface that allows them to generate accurate ML predictions on their own, without requiring any ML experience or having to write a single line of code. Visual point-and-click interface to connect, prepare, analyze, and explore data for building ML models and generating accurate predictions. Automatically build ML models to run what-if analysis and generate single or bulk predictions with a few clicks. Boost collaboration between business analysts and data scientists by sharing, reviewing, and updating ML models across tools. Import ML models from anywhere and generate predictions directly in Amazon SageMaker Canvas. With Amazon SageMaker Canvas, you can import data from disparate sources, select values you want to predict, automatically prepare and explore data, and quickly and more easily build ML models. You can then analyze models and generate accurate predictions.
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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
Companies requiring a solution to generate accurate ML predictions with no code required
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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 |
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: 1994
United States
aws.amazon.com/sagemaker/canvas/
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/sagemaker/studio/
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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
Amazon SageMaker Unified Studio
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
Amazon SageMaker Unified Studio
Jupyter Notebook
PyTorch
TensorFlow
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