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
CS 156 · Learning From Data · Lec 15·Statistical Learning & Generalization · Yaser Abu-Mostafa · Caltech
1:18:19