Center for Data Science, New York University, Spring 2023
Instructor: Qi Lei
Welcome to the DA-GA3001 course webpage for Spring 2023.
syllabus
Lecture 1: Basics of Machine Learning
Lecture 2: Generalization bound: concentration inequality
Lecture 3: Generalization bound: uniform convergence
Lecture 4: Generalization bound: complexity measure
Lecture 5: Theory of deep learning: (non-convex) optimization
Lecture 6: Theory of deep learning: neural tangent kernel
Lecture 7: Theory of deep learning: implicit/algorithmic regularization
Lecture 8: Meta learning
Lecture 9: Domain adaptation
Lecture 10: Domain generalization
Lecture 11: Data augmentation
Lecture 12: Self-supervised learning
Lecture 13: Transformer