tsyw/MachineLearningNotes resource
My personal notes observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2396
- days_rel: n/a
- days_push: 1309
- n_releases_24m: 0
Adoption not part of the score
1808 stars · 440 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of personal machine learning study notes written in Markdown, based mostly on video lectures and Bishop's Pattern Recognition and Machine Learning. The notes include equations and diagrams best viewed in Typora or the author's Yuque docs.
Use cases
- learning machine learning fundamentals
- reviewing pattern recognition concepts
- finding notes explaining PRML book topics
- supplementing video lecture study with written notes
- studying probabilistic graphical models
When to choose
- you want readable study notes on ML theory
- you are following Bishop's PRML or related video courses
- you prefer Markdown notes with math you can render locally
When to avoid
- you need runnable code or implementations
- you need GitHub-rendered math and diagrams
- you need a maintained course or library with releases
Facets
learning-resource · maturity maintenance
machine-learning documentation markdown machine-learning tutorials education cross-platform study-notes math pattern-recognition chinese-language typora
1 source
- readme: https://github.com/tsyw/MachineLearningNotes · fetched 2026-08-28 · 159684f6faed
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| tsyw/MachineLearningNotes | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="tsyw/MachineLearningNotes")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem