chiphuyen/ml-interviews-book resource

Health v2 · maintenance only

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Adoption not part of the score

4732 stars · 689 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

An open-source book by Chip Huyen covering the machine learning interview process, including role types, required skills, and over 200 knowledge questions with difficulty ratings. It is aimed at candidates preparing for ML interviews, and also useful to hiring managers designing interview pipelines.

Use cases

• prepare for a machine learning interview
• find common ML interview questions
• learn what skills ML roles require
• understand interviewer mindset for ML hiring
• design a machine learning hiring pipeline
• practice ML knowledge questions with difficulty levels

When to choose

• you are a candidate preparing for ML interviews at companies or startups
• you want a curated set of ML interview questions with difficulty ratings
• you are a hiring manager wanting insight into how other companies hire ML roles

When to avoid

• you need hands-on ML coding exercises or datasets rather than interview guidance
• you are looking for general software engineering interview prep
• you need a formal textbook on ML theory

Facets

learning-resource · maturity stable

documentation machine-learning education tutorials interview-preparation book career machine-learning-interviews web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="chiphuyen/ml-interviews-book")