This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ML Companies Tier List and Interview Questions

A list of summer schools on Artificial Intelligence, Machine Learning, and Healthcare

An introduction to basic concepts of Transformers and key techniques of their recent advances.

A Repository consisting resources primarily of the Gate DA and AI

Python Data Science Handbook: full text in Jupyter Notebooks

Learn AI/ML for beginners with a roadmap and free resources.

Learn ML engineering for free in 4 months! Register here 👇🏼

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)