AI & ML Theory Interview Questions

Browse theory interview questions organized by topic and subtopic. Each question includes detailed explanations, related theory articles, video resources, and practice quizzes. Topics cover the full breadth of AI/ML knowledge tested in interviews at top tech companies.

Available Topics

• Linear Algebra — Vectors, matrices, eigenvalues, SVD, projections
• Probability & Statistics — Distributions, Bayes theorem, hypothesis testing, sampling
• Deep Learning — Neural networks, CNNs, RNNs, transformers, attention, regularization
• Natural Language Processing — Embeddings, tokenization, sequence models, language models
• Computer Vision — Image classification, object detection, segmentation, GANs
• Classical Machine Learning — Decision trees, random forest, SVM, boosting, clustering
• MLOps — Deployment, monitoring, feature stores, CI/CD for ML
• Reinforcement Learning — Q-learning, policy gradients, exploration strategies