# cycleuser/Stanford-CS-229

A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

Repository: https://github.com/cycleuser/Stanford-CS-229
Canonical: https://ross.abutalabs.com/products/stanford-cs-229
Homepage: https://zhuanlan.zhihu.com/python-kivy
Language: MATLAB
License: GPL-3.0
License Family: copyleft
Last push: 2022-03-01T05:11:19+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3424, "days_push": 1646, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3457, forks 853 (observed 2026-08-28T04:08:05.543409+00:00)

## What it is
A Chinese translation of Stanford's CS229 machine learning course lecture notes by Andrew Ng. The repository hosts Markdown and Word translations of the official course handouts, maintained via community contributions.

## Use cases
- learn machine learning fundamentals from CS229 notes in Chinese
- read Andrew Ng's Stanford CS229 lecture notes translated to Chinese
- study supervised learning and machine learning theory in Chinese
- find Chinese study materials for Stanford's graduate ML course
- contribute to translating machine learning course notes

## When to choose
- you prefer reading CS229 notes in Chinese rather than English
- you want free, community-translated Stanford ML course materials
- you are a Chinese-speaking student studying machine learning theory

## When to avoid
- you need up-to-date notes for the latest CS229 offering
- you want interactive exercises or graded assignments
- you need English-language materials

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, machine-learning
- domain: machine-learning, tutorials, education
- platform: cross-platform
- tags: chinese-translation, cs229, course-notes, stanford, andrew-ng

## Member repositories
- cycleuser/Stanford-CS-229 (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:05.543409+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 2026-08-29T18:37:29.075597+00:00, confidence not recorded.
  - readme: https://github.com/cycleuser/Stanford-CS-229 (fetched 2026-08-28T04:08:05.543409+00:00, sha 2b8f7d186bb1)
- Data as of 2026-08-30T08:39:29.467469+00:00.