# chiphuyen/ml-interviews-book

https://huyenchip.com/ml-interviews-book/

Repository: https://github.com/chiphuyen/ml-interviews-book
Canonical: https://ross.abutalabs.com/products/ml-interviews-book
Language: HTML
License Family: other
Last push: 2025-03-21T21:31:44+00:00

## Health v2 (maintenance only)
Score: 38/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 12, release rhythm 35, longevity 100
- inputs: {"age_days": 2069, "days_push": 530, "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 4732, forks 689 (observed 2026-08-28T04:08:57.687255+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: stable
- function: documentation
- domain: machine-learning, education, tutorials
- platform: -
- tags: interview-preparation, book, career, machine-learning-interviews, web-server

## Member repositories
- chiphuyen/ml-interviews-book (main) score 38

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:57.687255+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 2026-08-29T18:19:00.607016+00:00, confidence not recorded.
  - readme: https://github.com/chiphuyen/ml-interviews-book (fetched 2026-08-28T04:08:57.687255+00:00, sha b7b0d0d6045c)
- Data as of 2026-08-30T08:39:29.467469+00:00.