chiphuyen/dmls-book resource

Health v2 · maintenance only

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5237 stars · 1064 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

The official companion repository for the book 'Designing Machine Learning Systems' by Chip Huyen (O'Reilly 2022), containing chapter summaries and curated resources. It supports a holistic approach to designing reliable, scalable, and maintainable production ML systems rather than serving as a code tutorial.

Use cases

• learn how to design production-ready machine learning systems
• find summaries of ML systems design concepts
• prepare for MLOps or ML engineer interviews
• understand ML system design decisions like data engineering and deployment
• find resources for learning MLOps
• study how to make ML models reliable and scalable in production

When to choose

• you want structured learning material on ML systems design and MLOps
• you are reading the book and want chapter summaries and extra resources
• you are an ML engineer or data scientist moving models to production

When to avoid

• you need runnable code or hands-on tutorials
• you want a software tool or library to include in a project
• you need a license-permitted codebase (the repo has no license)

Facets

learning-resource · maturity stable

machine-learning developer-tools documentation machine-learning tutorials data-science cross-platform book ml-systems-design mlops chip-huyen oreilly summaries education

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