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: Martino Borsato, Jörg Marks, Klaus Reygers
- It is yet to be decided whether the course will offered in-person or (partially) as an online course.
- Date: 11.4. - 14.4.20202 9:00-12:00 Uhr and 14:00-17:00 Uhr
Contents
- Fitting models to data
- Overview: Machine Learning
- Linear models, logistic regression
- Boosted Decision Trees
- Neural networks