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Academic Discipline
AI & Machine Learning
Deep learning, language models, reinforcement learning, statistical learning theory, representation learning, and vision.
10courses90standalone talks219total lectures
Subfields
Statistical Learning & Causality— Generalization bounds, VC dimension, kernel methods, Bayesian inference, and causal inference.
3 topics
