Fall 2026 Statistics GU4242 section 002

ADVANCED MACHINE LEARNING

Call Number 14599
Day & Time
Location
TR 6:10pm-7:35pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor Kamiar Rahnama Rad
Type LECTURE
Method of Instruction In-Person
Course Description

This course covers various topics in advanced machine learning. Topics may include optimization algorithms, Python libraries for ML, principles for applied supervised and unsupervised learning, hyperparameter selection, computational trade-offs, modern neural network architectures such as ConvNets, LSTMs, and transformers for computer vision and natural language processing, and deep learning for LLMs.

Web Site Vergil
Department Statistics
Enrollment 1 student (15 max) as of 12:06PM Tuesday, April 21, 2026
Subject Statistics
Number GU4242
Section 002
Division Interfaculty
Section key 20263STAT4242W002