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Machine Learning Platforms

Prepare your data, train, manage, and deploy your models with Machine Learning Platforms.

Pre-trained machine learning models available in AWS Marketplace.

Data preparation, operationalize ML and AutoML

Machine Learning Platforms enable data science professionals to source and prepare data, build, deploy, and train models, and uncover actionable insights to improve business outcomes. AWS Marketplace solutions, along with Amazon Machine Learning services, can help organizations across multiple industries, leverage machine learning algorithms to simplify data experimentation.

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Solutions

The following solutions from AWS Marketplace sellers focus on Amazon Sagemaker for model delivery.

Databricks

Databricks logo in a horizontal orientation, featuring the Databricks icon and wordmark. Databricks enables organizations to manage all their data, analytics, and artificial intelligence on one unified data platform. See how it works: Demo Learn more

Domino

Domino company logo in blue and gray, displayed for AWS Marketplace branding. Domino’s enterprise MLOps platform accelerates data science, providing self-service infrastructure so teams can develop and productionize models faster. Learn more

Qubole

Qubole company logo displayed for AWS Marketplace, with a blue and black color scheme and stylized text. Qubole's Open Data Lake Platform for Machine Learning allows you deliver faster results by building, visualizing, and collaborating on ML models. See how it works: Demo Learn more
TiVo logo featuring black lowercase letters with a distinctive blue 'i' and blue 'v' accent.
The Qubole interface makes it easy for our developers to go to a notebook, pick a cluster, and get started with a query. They don't have to worry about managing the cluster, and they're able to collaborate with other developers easily by sharing notebooks.

Lucas Waye

Principal Engineer, Tivo
Learn more about Qubole

Benefits

Build ML applications faster

Plug and play pre-trained machine learning models from third-party sellers across various use cases without sharing the data outside your environment.

Reduce time for data prep

Use pre-trained models and solutions that can help identify high-quality data from your overall data set suitable for training the ML models.

Simple feature engineering

Leverage models and solutions to identify and extract additional features from your data that can be used to train your own downstream models.