# geektutu/interview-questions

机器学习/深度学习/Python/Go语言面试题笔试题(Machine learning Deep Learning Python and Golang Interview Questions)

Repository: https://github.com/geektutu/interview-questions
Canonical: https://ross.abutalabs.com/products/geektutu-interview-questions
Homepage: https://geektutu.com/post/qa-ml.html
Language: Jupyter Notebook
License Family: other
Topics: machine-learning, interview-questions, deep-learning, python, golang
Last push: 2024-08-06T18:06:40+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": 3039, "days_push": 757, "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 1151, forks 209 (observed 2026-08-28T04:03:46.791847+00:00)

## What it is
A curated collection of machine learning, deep learning, Python, and Go interview and written-exam questions with answers, maintained as Markdown files and blog posts. Questions include multiple-choice and short-answer formats sourced from courses like CMU's ML exam and Andrew Ng's Coursera class.

## Use cases
- prepare for a machine learning interview
- practice Go language interview questions
- review deep learning concepts before a written test
- study k-fold cross-validation and overfitting questions
- find ML exam questions with answers
- brush up on Python interview questions

## When to choose
- you want question-and-answer style study material for ML/DL/Go/Python interviews
- you prefer concise quiz-style review with explanations
- you want free curated questions sourced from university exams and MOOCs

## When to avoid
- you need a comprehensive textbook or structured course rather than question sets
- you need up-to-date coverage of modern LLM-era interview topics
- you need content in a language other than Chinese

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning
- domain: machine-learning, deep-learning, education, programming-languages, tutorials
- platform: python, go
- tags: interview-questions, interview-preparation, cheat-sheet, quiz, golang, jupyter-notebook, chinese

## Member repositories
- geektutu/interview-questions (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:46.791847+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 2026-08-30T06:33:36.489762+00:00, confidence not recorded.
  - readme: https://github.com/geektutu/interview-questions (fetched 2026-08-28T04:03:46.791847+00:00, sha a68e7896ce5e)
  - homepage: https://geektutu.com/post/qa-ml.html (fetched 2026-08-29T12:38:25.213442+00:00, sha 042d83efb502)
  - site_page: https://geektutu.com/post/about.html (fetched 2026-08-29T12:38:25.222345+00:00, sha 493e84086479)
- Data as of 2026-08-30T08:39:29.467469+00:00.