BoltzmannEntropy/interviews.ai resource
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well. observed · 2026-08-28
Health v2 · maintenance only
49/100
- Activity 38
- 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: 1798
- days_rel: n/a
- days_push: 376
- n_releases_24m: 0
Adoption not part of the score
4890 stars · 325 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
An open book, 'Deep Learning Interviews', containing hundreds of fully solved job interview questions across key AI and data science topics, available as a free PDF and in print. The repository hosts the book's manuscript, errata, and supporting material for graduate students and job seekers.
Use cases
- prepare for a machine learning engineer job interview
- study deep learning interview questions with solutions
- review information theory and Bayesian statistics for AI exams
- practice PyTorch and autograd questions before an interview
- brush up on logistic regression, CNNs, and ensemble learning
- find a free deep learning textbook PDF for graduate study
When to choose
- you are a student or job seeker preparing for AI/ML interviews or graduate exams
- you want fully worked solutions rather than just question lists
- you need a free, citable PDF covering math foundations through CNNs
When to avoid
- you need hands-on code libraries or production tooling rather than a book
- you want a structured course with exercises graded automatically
- you need content under a permissive license for commercial use (selling is prohibited)
Facets
learning-resource · maturity active
machine-learning deep-learning data-science machine-learning deep-learning data-science artificial-intelligence education tutorials cross-platform interview-preparation book pytorch jax bayesian-statistics information-theory cnn ensemble-learning free-pdf arxiv education
2 sources
- readme: https://github.com/BoltzmannEntropy/interviews.ai · fetched 2026-08-28 · ca21b06c7656
- homepage: https://interviews.ai · fetched 2026-08-29 · 31874e230f08
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| BoltzmannEntropy/interviews.ai | main | 49 |
For agents
markdown · JSON · MCP: product_card(name="BoltzmannEntropy/interviews.ai")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem