#450 · Primary category: Education & Research

interviews.ai

artificial-intelligence autograd bayesian-statistics convolutional-neural-networks data-science deep-learning ensemble-learning feature-extraction graduate-school information-theory interview-preparation jax jobs logistic-regression loss-functions machine-learning python pytorch pytorch-tutorial

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.

Project last updated:08/22/25

GitHub Stars

4.9K

Forks

324

Contributors

1

License

Other

Why we included this project

Interviews.ai hosts the full manuscript of Deep Learning Interviews, a book written for people prepping for machine-learning and data-science job interviews. Rather than bare prompts, each of the hundreds of questions comes with a worked solution, so you can follow the reasoning step by step across topics like Bayesian statistics, information theory, and convolutional networks. The chapters build as one cumulative curriculum instead of scattered notes, which makes the text useful both as a quick refresher before an interview and as a way to patch holes in your fundamentals. The stated audience is postgraduate students and job seekers, though the author suspects even experienced researchers will find it absorbing. The PDF is freely available on arXiv, so there's nothing to lose by checking it yourself.

Articles for this project

No articles for this project yet.

To suggest a topic or contribute an article, contact us.

Related projects in this category