# szcf-weiya/ESL-CN

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

Repository: https://github.com/szcf-weiya/ESL-CN
Canonical: https://ross.abutalabs.com/products/esl-cn
Homepage: https://esl.hohoweiya.xyz
Language: Jupyter Notebook
License: GPL-3.0
License Family: copyleft
Topics: esl, statistical-learning, esl-cn, r, julia, python, cpp
Last push: 2025-12-30T12:01:07+00:00

## Health v2 (maintenance only)
Score: 59/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 59, release rhythm 35, longevity 100
- inputs: {"age_days": 3625, "days_push": 246, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2767, forks 621 (observed 2026-08-28T04:07:18.727604+00:00)

## What it is
A Chinese translation of The Elements of Statistical Learning (ESL) textbook, accompanied by code implementations of the book's algorithms and solutions to its exercises. It is published as an online book site with Jupyter Notebook and R/Julia/C++ code examples.

## Use cases
- read The Elements of Statistical Learning in Chinese
- find solutions to ESL textbook exercises
- study statistical learning algorithms with code examples
- implement ESL book algorithms in R or Julia
- learn machine learning from the ESL textbook
- understand boosting, SVM, and neural network examples from ESL

## When to choose
- You prefer studying ESL in Chinese with translated chapters
- You want worked exercise solutions and runnable code alongside the textbook
- You are a statistics or ML student working through the book chapter by chapter

## When to avoid
- You need a production machine-learning library rather than educational material
- You require an authoritative, professionally reviewed translation of the book
- You want a modern deep-learning curriculum instead of classical statistical learning

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, documentation, data-science
- domain: machine-learning, tutorials, education, data-science
- platform: python, jvm, cpp
- tags: statistical-learning, chinese-translation, esl, exercise-solutions, jupyter-notebook, r, julia, textbook-companion, statistics, web

## Member repositories
- szcf-weiya/ESL-CN (main) score 59

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:18.727604+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 2026-08-30T08:16:44.929245+00:00, confidence not recorded.
  - readme: https://github.com/szcf-weiya/ESL-CN (fetched 2026-08-28T04:07:18.727604+00:00, sha 3d5362d67ec6)
  - homepage: https://esl.hohoweiya.xyz (fetched 2026-08-29T09:56:22.118349+00:00, sha becbae134918)
  - site_page: https://esl.hohoweiya.xyz/18-High-Dimensional-Problems/18.5-Classification-When-Features-are-Unavailable/index.html (fetched 2026-08-29T09:56:22.127710+00:00, sha 2762302b7bcd)
- Data as of 2026-08-30T08:39:29.467469+00:00.