Methods of data analysis II & Introduction to machine learning
Time and place:
- Mo 11:00-12:30, Room SRTL (307)
Fields of study
- WF Ph-BA 56789ABCDEF
- WF Ph-MA 123456789ABCDEF
Prerequisites / Organisational information
Useful prerequisites: Methoden der Datenanalyse I and basic knowledge of Python programming.
The lectures provide an introduction to machine learning methods and their application to problems in physics.
The topics of the lectures include:
- Bayesian statistics, inference
- Linear regression
- Logistic regression
- Model selection: bias-variance trade off
- Markov chain Monte Carlo
- Introduction to deep learning