# Sroy20/machine-learning-interview-questions

This repository is to prepare for Machine Learning interviews.

Repository: https://github.com/Sroy20/machine-learning-interview-questions
Canonical: https://ross.abutalabs.com/products/machine-learning-interview-questions
License Family: other
Last push: 2019-05-19T08:08:55+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": 3459, "days_push": 2663, "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 1659, forks 398 (observed 2026-08-28T04:05:18.316776+00:00)

## What it is
A curated collection of machine learning interview questions organized into markdown files covering deep learning, general ML, and the underlying mathematics. It serves as a study reference rather than executable software.

## Use cases
- prepare for a machine learning interview
- review deep learning interview questions
- brush up on math concepts for ML interviews
- find common ML interview questions before an onsite
- study machine learning fundamentals from a question list

## When to choose
- you want a free, question-driven checklist for ML interview prep
- you need a quick refresher on deep learning and ML math topics before interviews

## When to avoid
- you need a full course with detailed explanations and exercises
- you want runnable code or production ML tooling

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: machine-learning, deep-learning, tutorials
- platform: cross-platform
- tags: interview-preparation, questions-and-answers, study-guide

## Member repositories
- Sroy20/machine-learning-interview-questions (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:18.316776+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 2026-08-30T03:44:41.484128+00:00, confidence not recorded.
  - readme: https://github.com/Sroy20/machine-learning-interview-questions (fetched 2026-08-28T04:05:18.316776+00:00, sha 925ca94ae104)
- Data as of 2026-08-30T08:39:29.467469+00:00.