# Visualize-ML/Book4_Power-of-Matrix

Book_4_《矩阵力量》 |   鸢尾花书：从加减乘除到机器学习；上架！

Repository: https://github.com/Visualize-ML/Book4_Power-of-Matrix
Canonical: https://ross.abutalabs.com/products/book4_power-of-matrix
Language: Jupyter Notebook
License Family: other
Topics: linear, linear-algebra, machine-learning, mathematics, matrix, matrix-factorization
Last push: 2026-05-01T14:42:44+00:00

## Health v2 (maintenance only)
Score: 68/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 80, release rhythm 35, longevity 100
- inputs: {"age_days": 1523, "days_push": 124, "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 10049, forks 1584 (observed 2026-08-28T04:10:39.363182+00:00)

## What it is
An open-source Chinese-language educational book project ('The Power of Matrix', Book 4 of the Iris series) teaching linear algebra and matrices, progressing from basic arithmetic to machine learning. It ships as Jupyter Notebooks with extensive visualizations of matrix concepts.

## Use cases
- learn linear algebra from scratch
- understand matrix factorization visually
- prepare for machine learning math foundations
- study matrices with interactive Python notebooks
- self-study mathematics in Chinese
- teach linear algebra with visual examples

## When to choose
- you want a visual, notebook-based introduction to linear algebra
- you read Chinese and want a free structured math textbook
- you need math foundations before learning machine learning

## When to avoid
- you need a software library for matrix computation rather than a book
- you only read English
- you need a formally licensed or peer-reviewed textbook

## Facets
- artifact type: learning-resource
- maturity: active
- function: data-visualization, machine-learning, math
- domain: mathematics, machine-learning, education, data-science
- platform: python, cross-platform
- tags: linear-algebra, jupyter-notebooks, matrix, chinese-language, textbook, iris-flower-book-series

## Member repositories
- Visualize-ML/Book4_Power-of-Matrix (main) score 68

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:39.363182+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 2026-08-29T17:19:54.213409+00:00, confidence not recorded.
  - readme: https://github.com/Visualize-ML/Book4_Power-of-Matrix (fetched 2026-08-28T04:10:39.363182+00:00, sha add8cc951010)
- Data as of 2026-08-30T08:39:29.467469+00:00.