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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.

Cloud Database Cost Forecasting

By: Mphasis Latest Version: 2.1

Product Overview

Cloud Database Cost Forecasting generates 24 hours of forward forecast of database cost using historical data. This solution will help businesses to better optimize their on-cloud hosted database resources and foresee their cost fluctuations. It uses ensemble ML algorithms with automatic model selection algorithms. This solution provides consistent and better results due to its ensemble learning approach. This solution performs automated model selection to apply the right model based on the input data.

Key Data

By Mphasis
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

Support Information

Cloud Database Cost Forecasting

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Refund Policy

Currently we do not support refunds, but you can cancel your subscription to the service at any time.

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