NYU CS-GY 6923 Machine Learning
Professor Pavel Izmailov
Friday 2:00-4:30pm, 2 Metrotech, Room 315
Virtual lectures TBD.
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
Office: TBD
Office Hours: TBD
Course Assistants
Majid Daliri: daliri.majid@nyu.edu
Harsha Mupparaju: sm12754@nyu.edu
Shubham Rastogi: sr7421@nyu.edu
Office Hours: See course webpage