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About

Amazon SageMaker is an advanced machine learning service that provides an integrated environment for building, training, and deploying machine learning (ML) models. It combines tools for model development, data processing, and AI capabilities in a unified studio, enabling users to collaborate and work faster. SageMaker supports various data sources, such as Amazon S3 data lakes and Amazon Redshift data warehouses, while ensuring enterprise security and governance through its built-in features. The service also offers tools for generative AI applications, making it easier for users to customize and scale AI use cases. SageMaker’s architecture simplifies the AI lifecycle, from data discovery to model deployment, providing a seamless experience for developers.

About

A data science platform that improves productivity with unparalleled abilities. Build and evaluate higher-quality machine learning (ML) models. Increase business flexibility by putting enterprise-trusted data to work quickly and support data-driven business objectives with easier deployment of ML models. Using cloud-based platforms to discover new business insights. Building a machine learning model is an iterative process. In this ebook, we break down the process and describe how machine learning models are built. Explore notebooks and build or test machine learning algorithms. Try AutoML and see data science results. Build high-quality models faster and easier. Automated machine learning capabilities rapidly examine the data and recommend the optimal data features and best algorithms. Additionally, automated machine learning tunes the model and explains the model’s results.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Machine learning engineers, data scientists, and organizations seeking to develop, deploy, and scale AI solutions efficiently and securely

Audience

Companies searching for a data science platform that improves productivity

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/sagemaker/

Company Information

Oracle
Founded: 1977
United States
www.oracle.com/data-science/

Alternatives

Alternatives

Neural Designer

Neural Designer

Artelnics

Categories

Categories

Data Labeling Features

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Integrations

AWS Clean Rooms
AWS Step Functions
Amazon EC2 Inf1 Instances
Amazon SageMaker Canvas
Amazon SageMaker HyperPod
Cohere Rerank
Deepchecks
Flyte
JetBrains Datalore
LiteLLM
Magistral
ModelOp
NVIDIA AI Foundations
OpenCompress
Pinecone Rerank v0
Pipeshift
Pruna AI
Ray
Splunk User Behavior Analytics
neptune.ai

Integrations

AWS Clean Rooms
AWS Step Functions
Amazon EC2 Inf1 Instances
Amazon SageMaker Canvas
Amazon SageMaker HyperPod
Cohere Rerank
Deepchecks
Flyte
JetBrains Datalore
LiteLLM
Magistral
ModelOp
NVIDIA AI Foundations
OpenCompress
Pinecone Rerank v0
Pipeshift
Pruna AI
Ray
Splunk User Behavior Analytics
neptune.ai
Claim Amazon SageMaker and update features and information
Claim Amazon SageMaker and update features and information
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Claim Oracle Data Science and update features and information