What is Amazon SageMaker Autopilot?

Amazon SageMaker Autopilot streamlines the creation of machine learning models by taking care of the intricate details on your behalf. You simply need to upload a tabular dataset and specify the target column for prediction; from there, SageMaker Autopilot methodically assesses a range of techniques to find the most suitable model. Once the best model is determined, you can easily deploy it into production with just one click, or you have the option to enhance the recommended solutions for improved performance. It also adeptly handles datasets with missing values, as it automatically fills those gaps, provides statistical insights about the dataset features, and derives useful information from non-numeric data types, such as extracting date and time details from timestamps. Moreover, the intuitive interface of this tool ensures that it is accessible not only to experienced data scientists but also to beginners who are just starting out. This makes it an ideal solution for anyone looking to leverage machine learning without needing extensive expertise.

Screenshots and Video

Amazon SageMaker Autopilot Screenshot 1

Company Facts

Company Name:
Amazon
Date Founded:
2006
Company Location:
United States
Company Website:
aws.amazon.com/sagemaker/autopilot

Product Details

Deployment
SaaS
Training Options
Documentation Hub
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Amazon SageMaker Autopilot Categories and Features

Machine Learning Software

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

More Amazon SageMaker Autopilot Categories