Advanced Machine Learning

We are excited to offer our first-course covering advanced machine learning.

This course covers advanced machine-learning topics. It continues where the Foundations of Machine Learning Course stopped. We will cover second-order optimization, derivative evaluation, generative learning, reinforcement learning and more.
Prerequisites:
- You have taken the Foundations of Machine Learning Course or acquired comparable knowledge via self-study.
- You are familiar with Slurm and a proficient Python programmer.

Course Contents:

Day 1: Advanced Optimization
- Understanding autograd, computing derivatives
- Second order optimization
Day 2: Introduction to reinforcement learning
Day 3: Bayesian Learning
Day 4: Very Deep neural networks
- residual connections
Day 5: Vision Transformers

We are looking forward to seeing you during the course.
Your Lecturers,
Elena and Moritz