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zhengjingwei/machine-learning-interview resource

算法工程师-机器学习面试题总结 observed · 2026-08-28

github.com/zhengjingwei/machine-learning-interview observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2704
  • days_rel: n/a
  • days_push: 2533
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1695 stars · 217 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated collection of machine learning and deep learning interview questions with answers, written primarily in Chinese. It covers fundamentals like loss functions, evaluation metrics, feature engineering, and classic algorithms such as KNN, SVM, and Naive Bayes.

Use cases

  • prepare for a machine learning engineer interview
  • review classic ML algorithm concepts before an interview
  • study feature engineering interview questions
  • practice deep learning interview questions
  • refresh knowledge of SVM, KNN, and Naive Bayes theory

When to choose

  • you are preparing for algorithm/ML engineer interviews and want a structured question bank
  • you prefer Chinese-language study material
  • you want a checklist-style review of ML fundamentals

When to avoid

  • you need a runnable library or code tool
  • you need up-to-date content on LLMs or modern deep learning topics
  • you need English-language material or a maintained, actively updated resource

Facets

learning-resource · maturity maintenance

machine-learning deep-learning nlp machine-learning tutorials education cross-platform interview-preparation question-bank chinese-language study-notes

1 source

Member repositories

RepositoryRoleHealth v2
zhengjingwei/machine-learning-interviewmain32

For agents

markdown · JSON · MCP: product_card(name="zhengjingwei/machine-learning-interview")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem