Introduction to Data Analysis and Machine Learning in Physics
Overview
Data analysis belongs to the core elements of physics. At the same time machine learning is extremely successful in fields like image recognition, speech processing and medical diagnosis. In physics machine learning is becoming increasingly important. This course gives a practical introduction to both topics.
- lecturers: Jörg Marks, Klaus Reygers
- Date: 11.4. - 14.4.2023 9:00-12:00 Uhr and 14:00-17:00 Uhr
Contents
- Short introduction to Python tools
- Fitting models to data
- Overview: Machine Learning
- Linear models, logistic regression
- Boosted Decision Trees
- Neural networks (introduction, convolutional neural networks, graph neural networks)