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Origins Data Science ML Block Course
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Description
The Origins Data Science Lab (ODSL) is organizing a block course on "Introduction to Machine Learning" targeted towards PhD students in physics. Interested MSc students from LMU and TUM are welcome as well.
The courses will take place in person at the Max Planck Institute for Physics (MPP) building at Forschungszentrum Garching. (Unless otherwise noted on the agenda), the lectures and tutorials will take place in person in the Alps room (A.1.01/03) which is the main auditorium located on the first floor of the MPP. After entering the building via its main entrance on the Boltzmannstrasse, please take the stairs to the right of the Heisenberg cafe to get to the first floor. When reaching the first floor, the main auditorium is directly on the right hand side and facing the Boltzmannstrasse.
The two-week introductory block course (24.02.2025 - 06.03.2025) will cover the following topics:
- First Week:
- Linear models, supervised learning
- Machine Learning theory (bias / variance trade-off)
- Intro to Neural Networks (universal approximation theorem, optimizers)
- Automatic differentiation, deep learning frameworks (e.g, pytorch)
- Classical clustering algorithms
- Second Week:
- Geometric Deep Learning
- Convolutional Neural Networks
- Graph Neural Networks
- Transformers
- Introduction to Deep Generative Models
Please Register for the Event using the Registration Link.
Lecturers:
- Nicole Hartman, nicole.hartman@tum.de
- Jed Homer
Forms of credit: ECTS points are available (details forthcoming). If you're taking the course for credit, there will be additional homework exercises to complete.
Certificates of participation will be provided on request.
Github: https://github.com/odsl-team/block-course-mar26-ML
^ for tutorials and homework exercises.
We're still deciding whether to have a zoom connection of not -- let us know if this changes your probability of attendance!
