# DarLiner/Algorithm_Interview_Notes-Chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

Repository: https://github.com/DarLiner/Algorithm_Interview_Notes-Chinese
Canonical: https://ross.abutalabs.com/products/algorithm_interview_notes-chinese
Language: Python
License Family: other
Last push: 2018-12-04T04:03:39+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": 2829, "days_push": 2829, "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 2476, forks 516 (observed 2026-08-28T04:06:55.068084+00:00)

## What it is
A Chinese-language collection of interview notes covering machine learning, deep learning, NLP, computer vision, algorithms, math, and programming languages (C/C++, Python), aimed at algorithm-role job candidates in China. It aggregates common interview questions from ML/DL interview experiences plus related computer science topics.

## Use cases
- prepare for machine learning engineer interviews
- review deep learning interview questions before campus recruitment
- study NLP interview topics like word embeddings
- practice algorithm questions like dynamic programming and LeetCode problems
- brush up on C++ interview fundamentals
- find Chinese-language AI job interview experience notes

## When to choose
- you are preparing for algorithm/ML/DL job interviews in the Chinese tech industry
- you want a consolidated Chinese-language question bank for ML, DL, and NLP interviews
- you need structured notes on algorithms, math, and C/C++ for written tests

## When to avoid
- you need up-to-date content, as the repository has not been updated since late 2018
- you are preparing for frontend, testing, Java, or Android roles, which are explicitly excluded
- you need English-language interview preparation materials

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: developer-tools
- domain: machine-learning, deep-learning, tutorials, awesome-lists
- platform: cross-platform
- tags: interview-preparation, chinese, notes, algorithms, job-hunting, study-guide, natural-language-processing

## Member repositories
- DarLiner/Algorithm_Interview_Notes-Chinese (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:55.068084+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 2026-08-30T02:28:20.724883+00:00, confidence not recorded.
  - readme: https://github.com/DarLiner/Algorithm_Interview_Notes-Chinese (fetched 2026-08-28T04:06:55.068084+00:00, sha c7d2a8127f56)
- Data as of 2026-08-30T08:39:29.467469+00:00.