Optimization for Machine Learning

Optimization for Machine Learning

This course will (exceptionally) not be offered in this semester. Interested students are instead encouraged to enroll in Lectures on Modern Optimization Methods.

This course teaches an overview of modern mathematical optimization methods for machine learning and data science applications. In particular, the scalability of algorithms to large datasets will be discussed in theory and in implementation.

This advanced lecture aims to prepare students to research this topic. An interest in and the ability to understand and apply mathematical proofs are essential.