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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.

Bigfinite OutlierDetection

By: bigfinite Latest Version: 1.7

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

Support Information

AWS Infrastructure

AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services. Learn more

Refund Policy

Referred in the web site: https://www.bigfinite.com

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