NYU CS-GY 6923 Machine Learning (Spring 2027)
Professor Pavel Izmailov
Wednesday 11:00am-1:30pm, Jacobs Hall, 6 Metrotech, Room 674
Course Description
This course provides a graduate-level introduction to machine learning through a mixture of hands-on exercises and theoretical foundations. We will cover fundamentals of machine learning: regression, classification, linear models, neural networks, numerical optimization methods (gradient descent, backpropagation), unsupervised learning, and a number of other topics. We will also cover basics of language modeling and understand how systems such as ChatGPT operate. The course includes hands-on exercises with machine learning methods and covers a broad range of applications.
Professor Contact
Email: pi390@nyu.edu
Previous Iterations
Materials for previous iterations of this class are available here: Spring 2026, Fall 2025.
Part of this class (early lectures, demos and course materials) is based on the previous iteration of CS-GY 6923 taught by professor Christopher Musco.