Advanced Machine Learning

A workshop offered by BNTrAinee in cooperation with the University IT and Data Center (HRZ)

This workshop covers advanced machine-learning topics. It continues where the Foundations of Machine Learning Course stopped. It will cover second-order optimization, derivative evaluation, generative learning, reinforcement learning and more.

In-person Workshop

Monday, March 17, 2025
9:00 a.m. - 5:00 p.m.

Tuesday, March 18, 2025
9:00 a.m. - 5:00 p.m.

Wednesday, March 19, 2025
9:00 a.m. - 5:00 p.m.

Thursday, March 20, 2025
9:00 a.m. - 5:00 p.m.

Friday, March 21, 2025
9:00 a.m. - 5:00 p.m.

Trainer

Elena Trunz, Lokesh Veeramacheneni and Moritz Wolter

Language

English

Location

HRZ, Wegelerstr. 6,
Computer Pool, ground floor

Target Group

Doctoral students and postdocs

Track(s)

Research, Business and Organizations

Certificate

25 units are applicable within the Doctorate plus or Careers plus certificate

Eine Wissenschaftlerin und ein Wissenschaftler arbeiten hinter einer Glasfassade und mischen Chemikalien mit Großgeräten.

Description

Workshop Contents:

Day 1: Advanced Optimization
Understanding autograd, computing derivatives
Day 2: Introduction to Reinforcement Learning
Neural Q-learning
Day 3: Very Deep Neural Networks
Residual connections
Day 4: Bayesian Learning
Day 5: Vision Transformers

Prerequisites:
You have taken the Foundations of Machine Learning Course or have acquired comparable knowledge via self-study. You are familiar with Slurm and a proficient Python programmer.