Lecturer

Afonso Bandeira, Nikita Zhivotovskiy

Coordinator

Pedro Abdalla Teixeira

For up to date information and questions/answers/discussion please visit the forum.

Content

Mathematical aspects of Supervised Learning, Unsupervised Learning, Sparsity, and Online Learning. This course is a Mathematical course, with Theorems and Proofs.

Prerequisites

Note for non Mathematics students: This class requires a certain degree of mathematical maturity–including abstract thinking and the ability to understand and write proofs.

Lecture Notes

• Main Reference

Exercises

The new exercises will be posted here on Fridays. We expect you to look and try to solve the problems over the weak and to prepare questions for the exercise class on the next Friday.

The final grade of the course relies solely on the final exam, no homework will count. Nevertheless, you are welcome to submit your solutions. Please submit it to your corresponding TA.

Lectures and Exercise classes

The lectures and exercises classes will be held online. For zoom links, more up to date information, questions and discussions, please visit the forum.