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Amazon SageMaker Autopilot

Rating:

4.7 / 5.0

Tags

AutoML, Machine Learning, Cloud Service, AWS, Data Science

Categories:
Machine learning and neural networks
Creator Amazon Web Services (AWS)
Date 2019-12-03
Platforms Cloud Platform, AWS Console, API
Status Active
Website aws.amazon.com
Price Model Pay-as-you-go
Sections:
Automated ML (AutoML)ML Platforms

Pricing Details

Pay-as-you-go for the compute resources used for data exploration, training, and tuning. Pricing depends on the instance type and runtime.

Features

Automated ML, data exploration, feature engineering, algorithm selection, hyperparameter tuning, model training, model evaluation, code generation.

Integrations

Integrated into Amazon SageMaker. Uses Amazon S3 for data.

Preview

Amazon SageMaker Autopilot is a feature of Amazon SageMaker that automates the process of building, training, and tuning machine learning models. It enables data scientists and developers to quickly build high-quality ML models without the need to manually perform complex steps like algorithm selection, data preprocessing, and hyperparameter tuning. Autopilot automatically explores different combinations of data processing steps, algorithms, and hyperparameters to find the best model for your dataset. It generates code that you can inspect and modify. This makes ML more accessible and accelerates the model development process.