Machine-Learning-Interviews
📚 Tutorialalirezadir
Comprehensive guide for ML/AI technical interviews covering system design and agentic AI.
This repository is a curated collection of resources for preparing for Machine Learning and AI engineering interviews. It covers foundational ML algorithms, deep learning, agentic AI, and system design for scalable ML applications. The repo contains Jupyter Notebooks with code examples, interview questions, and tips. It also includes topics like model deployment, MLOps, and AI agents. The guide is regularly updated and has over 8,400 stars on GitHub, indicating its popularity among the AI community.
💡Highlights
- ├─8.4k stars, 1.5k forks
- ├─Covers agentic AI & system design
- └─Jupyter Notebook based examples
🎯For
- ├─ML/AI job seekers
- ├─Machine Learning Engineers
- └─AI researchers