This guide will walk your through all the statistical, machine learning, deep learning, and up-to-date computer vision and NLP concepts you could possibly encounter in an interview. I have developed this guide over the years as I study and interview for ML positions at FAANG, and I use this personally to brush up on concepts when preparing for an interview.
- Probability and Statistics
- Machine Learning
- Deep Learning
- Computer Vision
- Natural Language Processing
- ML System Design
- Generative AI
- Multimodal ML
- Distributed Training
- PyTorch Fundamentals
- Reinforcement Learning
Other great guides I've found: