Amazon SageMaker
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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
Product Overview
Using the latest Artificial Intelligence components, Bigfinite can help you create your own root cause discovery test and convert your seemingly confusing and unrelated data into predictable content. Specifically, Bigfinite's AI Outlier Detection algorithm will enhance the predictability of your variables by clearly displaying dependent and independent variables. To get started, simply connect your on-site / on-premise devices to the Bigfinite platform, create graphs with customizable widgets and components, including Outlier Detection, and then activate the graph.
Key Data
| Version | |
| By | bigfinite |
| Categories | |
| Type | Algorithm |
| Fulfillment Methods | Amazon SageMaker
|
Usage Information
Fulfillment Methods
Amazon SageMaker
Additional Resources
End User License Agreement
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Support Information
AWS Infrastructure
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Refund Policy
Referred in the web site: https://www.bigfinite.com