📄️ Getting Started with ML Pipelines
Build and run your first ML pipeline on Michelangelo in minutes. This guide walks you through a complete example -- from defining tasks and workflows to running locally and deploying remotely.
📄️ Data Preparation Guide
Learn how to prepare data in Uniflow for the ML pipeline on Michelangelo using Ray's distributed processing capabilities.
📄️ Project Management
A project in Michelangelo is a top-level organizational unit that groups related ML pipelines, models, and resources under a single namespace. Each project typically maps to a business use case -- for example, a product recommendation system, a fraud detection pipeline, or a document classification service.