Build a framework for an end-to-end machine learning process including ad-hoc data exploration, data processing and feature engineering, and model training and evaluation
November 2018 (last update: December 2019)
This implementation guide discusses architectural considerations and configuration steps for
deploying the Machine Learning for Telecommunication solution on the Amazon Web Services (AWS) Cloud. It includes links to an AWS CloudFormation
The guide is intended for data scientists, chief data officers, and data engineers who have practical experience architecting on the AWS Cloud.