Audience

Developing teams wanting to automatically create machine learning models with full visibility

About Amazon SageMaker Autopilot

Amazon SageMaker Autopilot eliminates the heavy lifting of building ML models. You simply provide a tabular dataset and select the target column to predict, and SageMaker Autopilot will automatically explore different solutions to find the best model. You then can directly deploy the model to production with just one click or iterate on the recommended solutions to further improve the model quality. You can use Amazon SageMaker Autopilot even when you have missing data. SageMaker Autopilot automatically fills in the missing data, provides statistical insights about columns in your dataset, and automatically extracts information from non-numeric columns, such as date and time information from timestamps.

Integrations

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Company Information

Amazon
Founded: 2006
United States
aws.amazon.com/sagemaker/autopilot

Videos and Screen Captures

Amazon SageMaker Autopilot Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

Amazon SageMaker Autopilot Frequently Asked Questions

Q: What kinds of users and organization types does Amazon SageMaker Autopilot work with?
Q: What languages does Amazon SageMaker Autopilot support in their product?
Q: What kind of support options does Amazon SageMaker Autopilot offer?
Q: What other applications or services does Amazon SageMaker Autopilot integrate with?
Q: What type of training does Amazon SageMaker Autopilot provide?

Amazon SageMaker Autopilot Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Templates
Visualization
Statistical / Mathematical Tools

Amazon SageMaker Autopilot Additional Categories