# JustFollowUs/Machine-Learning

Repository: https://github.com/JustFollowUs/Machine-Learning
Canonical: https://ross.abutalabs.com/products/justfollowus-machine-learning
License Family: other
Last push: 2024-04-05T10:19:46+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": 3547, "days_push": 880, "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 3163, forks 847 (observed 2026-08-28T04:07:46.618066+00:00)

## What it is
A curated Chinese-language machine learning curriculum listing courses, textbooks, and a recommended learning path covering math foundations, programming, and ML courses from MIT, Stanford, and NTU. It is a study guide repository rather than software.

## Use cases
- find a structured machine learning self-study curriculum
- learn the math prerequisites for machine learning
- get recommended textbooks and courses for ML beginners
- plan a learning path from calculus to machine learning
- find free ML courses from MIT and Stanford

## When to choose
- you want a guided, course-based path into machine learning
- you prefer curated links to lectures, notes, and textbooks
- you read Chinese and want a community-maintained curriculum

## When to avoid
- you need runnable code, libraries, or tools
- you want an up-to-date curriculum with recent course links
- you need English-only learning materials

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, documentation
- domain: machine-learning, tutorials, education
- platform: cross-platform
- tags: curriculum, awesome-list, chinese-language, self-study, math-foundations

## Member repositories
- JustFollowUs/Machine-Learning (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:46.618066+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 2026-08-30T07:25:12.788738+00:00, confidence not recorded.
  - readme: https://github.com/JustFollowUs/Machine-Learning (fetched 2026-08-28T04:07:46.618066+00:00, sha f1fe854b5c89)
- Data as of 2026-08-30T08:39:29.467469+00:00.