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Institute

Teaching

Methods of data analysis II & Introduction to machine learning

Lecturers

Details

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.

Content

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
- Regularization
- Trees
- Clustering
- Model selection: bias-variance trade off
- Perceptron
- Markov chain Monte Carlo
- Introduction to deep learning