# SmirkCao/Lihang

Statistical learning methods, 统计学习方法(第2版)[李航]  [笔记, 代码, notebook, 参考文献, Errata, lihang]

Repository: https://github.com/SmirkCao/Lihang
Canonical: https://ross.abutalabs.com/products/lihang
Language: Python
License Family: other
Topics: book, lihang, statistical-learning-methods, machine-learning, python
Last push: 2023-08-05T06:53:06+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": 2997, "days_push": 1124, "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 6314, forks 1586 (observed 2026-08-28T04:09:41.698064+00:00)

## What it is
A study companion repository for Li Hang's textbook 'Statistical Learning Methods' (2nd edition), containing notes, Python code, notebooks, references, glossary/symbol indexes, and errata. It is a learning resource rather than a software library.

## Use cases
- study statistical learning methods from Li Hang's book
- find Python implementations of classic ML algorithms like perceptron, SVM, and HMM
- look up errata and symbol definitions for the textbook
- download the book's referenced papers
- review machine learning theory with worked notebooks

## When to choose
- you are reading or re-reading the Statistical Learning Methods textbook and want notes and code
- you want reference implementations of classical algorithms covered in the book
- you need the book's bibliography and errata collected in one place

## When to avoid
- you need a production-ready machine learning library
- you want modern deep learning frameworks or GPU training tools
- you cannot read Chinese, since most notes are written in Chinese

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, developer-tools, documentation
- domain: machine-learning, tutorials, education
- platform: python, cross-platform
- tags: statistical-learning-methods, lihang, book-notes, jupyter-notebooks, errata, chinese, natural-language-processing

## Member repositories
- SmirkCao/Lihang (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:41.698064+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 2026-08-29T17:46:12.598066+00:00, confidence not recorded.
  - readme: https://github.com/SmirkCao/Lihang (fetched 2026-08-28T04:09:41.698064+00:00, sha 2b3f0fe7ee5c)
- Data as of 2026-08-30T08:39:29.467469+00:00.