The notebooks behind a Vietnamese machine learning primer

What it does

The repository hosts the Jupyter Notebook source for Machine Learning cơ bản, a Vietnamese introductory machine learning ebook by Vũ Hữu Tiệp. It provides the executable companion to the text, where readers can inspect and run the code behind the book’s examples alongside static PDFs in black-and-white and color. The paper edition is no longer sold, so the digital files and notebooks are now the primary way to access the material.

The interesting bit

This is a complete textbook rather than a scattered collection of tutorials, aimed squarely at Vietnamese speakers. The author treats the source code as a first-class artifact, hosting it openly rather than locking it behind the dead-tree edition.

Key highlights

• Jupyter Notebook source for a Vietnamese ML primer with nearly 1,850 GitHub stars.
• PDFs in both black-and-white and color available directly in the repository.
• Feedback and errata handled through GitHub issues.
• Paper edition discontinued; the open ebook and notebooks are the canonical distribution.

Caveats

• The README is minimal and entirely in Vietnamese, so non-speakers will need translation help to navigate or contribute.
• The sources do not specify which libraries the notebooks require or how many chapters they cover.

Verdict

Vietnamese-speaking students and practitioners looking for a structured, code-backed introduction to machine learning should start here. If you do not read Vietnamese, the notebooks and PDFs will be of limited use without translation.