Term: Spring 2022.

The course covers advance techniques in machine learning and dives into proofs and algebra behind optimization, deep learning and machine learning algorithms.

Being a Teaching Assistant, I designed assignments, prepared practice sets and graded them. Below is the work done over the entire semester.

Assignment 0: The assignment focused on advance linear algebra concepts like rank, SVD, chebyshev bounds.

Assignment 1: The assignment focused on smoothness of optimization functions, its conditions and its implications.