# chiphuyen/machine-learning-systems-design

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`

Repository: https://github.com/chiphuyen/machine-learning-systems-design
Canonical: https://ross.abutalabs.com/products/machine-learning-systems-design
Homepage: https://huyenchip.com/machine-learning-systems-design/toc.html
Language: HTML
License Family: other
Topics: data-science, machine-learning-production, mlops
Last push: 2023-04-15T16:33:50+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2474, "days_push": 1236, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 10554, forks 1634 (observed 2026-08-28T04:10:42.321989+00:00)

## What it is
A free online booklet by Chip Huyen covering machine learning systems design, including project setup, data pipelines, modeling, and serving, with exercises and interview-style questions. It is a 2019-era precursor to the book 'Designing Machine Learning Systems' and is no longer actively developed.

## Use cases
- prepare for machine learning systems design interviews
- learn how to design an end-to-end ML system
- study ML project lifecycle from data pipeline to deployment
- find case studies of ML systems in production
- practice open-ended ML system design questions

## When to choose
- you want a free, concise introduction to ML systems design
- you are preparing for ML interviews and want practice questions
- you prefer a short booklet over a full-length book

## When to avoid
- you need up-to-date MLOps practices and tooling - use 'Designing Machine Learning Systems' instead
- you want a hands-on code repository rather than reading material
- you need actively maintained content with community support

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, machine-learning
- domain: machine-learning, tutorials, education
- platform: -
- tags: mlops, booklet, interview-preparation, system-design, exercises, web-server, nodejs

## Member repositories
- chiphuyen/machine-learning-systems-design (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:42.321989+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:18:32.735302+00:00, confidence not recorded.
  - readme: https://github.com/chiphuyen/machine-learning-systems-design (fetched 2026-08-28T04:10:42.321989+00:00, sha 3284a01015d6)
  - homepage: https://huyenchip.com/machine-learning-systems-design/toc.html (fetched 2026-08-29T08:17:43.430030+00:00, sha 8d49f1e4584b)
- Data as of 2026-08-30T08:39:29.467469+00:00.