AWS vs. Azure: A Deep Dive into Model Training – Part 2

This article covers how Azure ML's persistent, workspace-centric compute resources differ from AWS SageMaker's on-demand, job-specific approach. Additionally, we explored environment customization options, from Azure's curated environments and custom environments to SageMaker's three level of customizations. The post AWS vs. Azure: A Deep Dive into Model Training – Part 2 appeared first on Towards Data Science .