# TheisTrue/MLofAndrew-Ng

吴恩达机器学习课程的讲义，欢迎大家一起学习

Repository: https://github.com/TheisTrue/MLofAndrew-Ng
Canonical: https://ross.abutalabs.com/products/mlofandrew-ng
License Family: other
Last push: 2019-04-29T07:48:57+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": 2684, "days_push": 2683, "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 1527, forks 552 (observed 2026-08-28T04:04:58.469370+00:00)

## What it is
A collection of Chinese-language lecture notes for Andrew Ng's machine learning course, hosted on GitHub for community study. It accompanies a Bilibili video version with Chinese and English subtitles.

## Use cases
- study Andrew Ng's machine learning course in Chinese
- find lecture notes to supplement ML course videos
- review machine learning fundamentals before interviews
- learn ML concepts with bilingual video subtitles
- self-study machine learning from course materials

## When to choose
- you are following Andrew Ng's ML course and want Chinese notes
- you prefer reading summaries alongside video lectures
- you want free community-maintained study material for ML basics

## When to avoid
- you need hands-on code exercises or a maintained ML library
- you require up-to-date deep learning content beyond the classic course
- you need English-only or officially licensed course materials

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, documentation
- domain: machine-learning, tutorials, education
- platform: cross-platform
- tags: andrew-ng, course-notes, lecture-notes, chinese, bilibili, study-material

## Member repositories
- TheisTrue/MLofAndrew-Ng (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:58.469370+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 2026-08-30T04:31:33.000365+00:00, confidence not recorded.
  - readme: https://github.com/TheisTrue/MLofAndrew-Ng (fetched 2026-08-28T04:04:58.469370+00:00, sha 3de15c127acc)
- Data as of 2026-08-30T08:39:29.467469+00:00.