# tiepvupsu/ebookMLCB

ebook Machine Learning cơ bản

Repository: https://github.com/tiepvupsu/ebookMLCB
Canonical: https://ross.abutalabs.com/products/ebookmlcb
Language: Jupyter Notebook
License: NOASSERTION
License Family: other
Last push: 2024-07-05T02:04:03+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2434, "days_push": 790, "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 1873, forks 470 (observed 2026-08-28T04:05:47.123713+00:00)

## What it is
Source repository for the Vietnamese ebook 'Machine Learning cơ bản' (Fundamentals of Machine Learning) by Vũ Hữu Tiệp, containing the book text as Jupyter notebooks plus downloadable black-and-white and color PDFs. The full book is also readable online at machinelearningcoban.com, covering core machine learning concepts and algorithms with mathematical explanations.

## Use cases
- learn machine learning fundamentals in Vietnamese
- find a free machine learning textbook pdf
- self-study machine learning from scratch
- understand the math behind ML algorithms
- download an introductory machine learning ebook
- study classical ML algorithms with worked examples

## When to choose
- You want a free, comprehensive introduction to machine learning written in Vietnamese
- You prefer theory-first learning with derivations and math examples
- You want both a web version and downloadable PDFs of the same book
- You are a Vietnamese-speaking student or self-learner building ML foundations

## When to avoid
- You need a software library, framework, or runnable tool rather than a book
- You need content in English or another language
- You need production ML code, pipelines, or model implementations as the primary deliverable
- You require a permissively licensed codebase you can redistribute, since the content is copyright-restricted

## Facets
- artifact type: learning-resource
- maturity: stable
- function: machine-learning, documentation
- domain: machine-learning, tutorials, education
- platform: python
- tags: ebook, vietnamese, textbook, jupyter-notebook, pdf, self-study, math-foundations

## Member repositories
- tiepvupsu/ebookMLCB (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:47.123713+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 2026-08-30T03:14:55.589963+00:00, confidence not recorded.
  - readme: https://github.com/tiepvupsu/ebookMLCB (fetched 2026-08-28T04:05:47.123713+00:00, sha 73116f323961)
- Data as of 2026-08-30T08:39:29.467469+00:00.