How chiphuyen/machine-learning-systems-design works
This repository is the source for a machine-learning systems design booklet, not a running ML system. Its main reader journey covers project setup, data pipelines, modeling, and serving, with case studies, exercises, and community answers as companion material. The README documents the booklet’s scope and HTML/PDF formats; the sampled source only confirms a small HTML script, so internal rendering and navigation links are not inferred.
Main entry points: design-a-machine-learning-system.md Data Pipeline · case-studies.md Case Studies · exercises.md Exercises · answers Community Answers
Components 11
Design Workflow
- Project Setup
content/design-a-machine-learning-system.md - Data Pipeline
content/design-a-machine-learning-system.md - Modeling
content/design-a-machine-learning-system.md - Serving
content/design-a-machine-learning-system.md
Learning Resources
- Case Studies
content/case-studies.md - Exercises
content/exercises.md - Community Answers
answers
Booklet Structure
- Table of Contents
content/toc.html - HTML Layout
layouts/html.html - PDF Layout
layouts/pdf.html
Other components
- Reader
Connections 9
- Reader → Table of Contents: reads booklet
README.md - Project Setup → Data Pipeline: next step
README.md - Data Pipeline → Modeling: next step
README.md - Modeling → Serving: next step
README.md - Reader → Case Studies: reads examples
README.md - Reader → Exercises: reads questions
README.md - Reader → Community Answers: reads answers
README.md - Reader → HTML Layout: reads HTML edition
README.md - Reader → PDF Layout: reads PDF edition
README.md