Popular Chinese ML Matrix Book Hides in a Discount Link README
An open-source Jupyter Notebook companion to a Chinese linear-algebra book that bridges arithmetic to machine learning, though its README only advertises print discounts.

What it does
This repository hosts Book 4 — “Power of Matrix” — of the Chinese “Iris Flower Books” series, which aims to carry readers from basic arithmetic to machine learning. Judging by the Jupyter Notebook language tag and the matrix-focused topics, it likely contains executable code and explanatory material accompanying the text. The README, however, offers no table of contents, no sample notebooks, and no explanation of scope; it functions purely as a landing page for discount links to the print editions.
The interesting bit
The project has amassed nearly ten thousand stars despite saying almost nothing about itself. Its business model is at least honest: the digital resources are “open source and permanent,” while diligent readers who file errata can earn free physical copies — a nice inversion of the usual paywall.
Key highlights
- Part of the “鸢尾花书” (Iris Flower Books) series spanning arithmetic to ML
- Tagged for linear algebra, matrix factorization, and machine learning
- Delivered as Jupyter Notebooks (inferred from repo metadata)
- 9,949 stars suggest a large, engaged Chinese-speaking audience
- Errata contributors are rewarded with complimentary print books
Caveats
- The README reveals almost nothing about notebook contents, prerequisites, or curriculum depth
- The README and description are entirely in Chinese; no English content is visible in the provided sources
- It is unclear whether the notebooks stand alone or require the commercial books to be coherent
Verdict
Worth a bookmark if you read Chinese and want a code-driven tour of matrices for ML. If you need a detailed README to evaluate a repo before cloning, this one will frustrate you.
Frequently asked
- What is Visualize-ML/Book4_Power-of-Matrix?
- An open-source Jupyter Notebook companion to a Chinese linear-algebra book that bridges arithmetic to machine learning, though its README only advertises print discounts.
- Is Book4_Power-of-Matrix open source?
- Yes — Visualize-ML/Book4_Power-of-Matrix is an open-source project tracked on heatdrop.
- What language is Book4_Power-of-Matrix written in?
- Visualize-ML/Book4_Power-of-Matrix is primarily written in Jupyter Notebook.
- How popular is Book4_Power-of-Matrix?
- Visualize-ML/Book4_Power-of-Matrix has 10k stars on GitHub.
- Where can I find Book4_Power-of-Matrix?
- Visualize-ML/Book4_Power-of-Matrix is on GitHub at https://github.com/Visualize-ML/Book4_Power-of-Matrix.