Improving Forecast Accuracy with Machine Learning - Improving Forecast Accuracy with Machine Learning

Improving Forecast Accuracy with Machine Learning

AWS Solutions Implementation Guide

Publication date: November 2020

The Improving Forecast Accuracy with Machine Learning solution is designed to help organizations generate accurate forecasts from diverse datasets. After this solution successfully deploys, you can configure your datasets, upload them, generate forecasts and visualize your results. This solution standardizes processes and saves developer time—reducing overhead costs for organizations developing new forecasts or optimizing their existing forecasting processes. This implementation guide provides procedures for setting up visualizations using either an Amazon QuickSight analysis or a Jupyter Notebook Instance.

This implementation guide describes architectural considerations and configuration steps for deploying the Improving Forecast Accuracy with Machine Learning solution in the Amazon Web Services (AWS) Cloud. It includes links to an AWS CloudFormation template that launches and configures the AWS services required to deploy this solution using AWS best practices for security and availability.