---
title: "Advanced Machine Learning"
date: 2024-01-01T00:00:00Z
draft: false
code: "CS 580"
semester: "Fall 2024"
credits: 3
level: "Graduate"
syllabus: "/syllabi/cs580-fall2024.pdf"
---

An advanced course covering deep learning, reinforcement learning, and probabilistic graphical models with emphasis on theoretical foundations and practical applications.

## Course Description

This graduate-level course explores advanced topics in machine learning. We cover deep neural networks, convolutional and recurrent architectures, generative models, reinforcement learning, and Bayesian methods. The course balances theoretical understanding with practical implementation skills.

## Topics Covered

- Deep Learning Architectures
- Optimization for Deep Learning
- Generative Models (VAEs, GANs, Diffusion Models)
- Reinforcement Learning
- Probabilistic Graphical Models
- Transfer Learning and Meta-Learning