# tsyw/MachineLearningNotes

My personal notes

Repository: https://github.com/tsyw/MachineLearningNotes
Canonical: https://ross.abutalabs.com/products/machinelearningnotes
License Family: other
Last push: 2023-02-01T12:05:21+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": 2396, "days_push": 1309, "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 1808, forks 440 (observed 2026-08-28T04:05:39.343092+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, documentation, markdown
- domain: machine-learning, tutorials, education
- platform: cross-platform
- tags: study-notes, math, pattern-recognition, chinese-language, typora

## Member repositories
- tsyw/MachineLearningNotes (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:39.343092+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 2026-08-30T03:21:24.386566+00:00, confidence not recorded.
  - readme: https://github.com/tsyw/MachineLearningNotes (fetched 2026-08-28T04:05:39.343092+00:00, sha 159684f6faed)
- Data as of 2026-08-30T08:39:29.467469+00:00.