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Physik (Bachelor of Science) >>
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Methods of data analysis II & Introduction to machine learning (MoDAII)- Lecturers
- Prof. Dr. Stefan Funk, Dr. Dmitry Malyshev, Dr. Thorsten Glüsenkamp
- Details
- Vorlesung
2 cred.h, ECTS studies, ECTS credits: 5, Sprache Englisch
Time and place: Wed 10:00 - 12:00, SRTL (307)
- Fields of study
- WF Ph-BA ab 5
WF Ph-MA ab 1
- Prerequisites / Organisational information
- Useful prerequisites: Methoden der Datenanalyse I and basic knowledge of Python programming.
- Contents
- 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
- Recommended literature
- Trevor Hastie et al.: The Elements of Statistical Learning
- ECTS information:
- Credits: 5
- Additional information
- Expected participants: 15, Maximale Teilnehmerzahl: 30
www: https://www.studon.fau.de/crs2323652.html
- Assigned lectures
- UE: Methods of data analysis II & Introduction to machine learning (exercise class)
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Lecturers: Prof. Dr. Stefan Funk, Dr. Dmitry Malyshev, Dr. Thorsten Glüsenkamp, Tutoren
Time and place: Tue 10:00 - 12:00, CIP-Pool in der Physik; single appointment on 13.2.2019 10:00 - 12:00, CIP-Pool in der Physik
- AG: Methods of data analysis II & Introduction to machine learning (tutor group)
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Lecturers: Prof. Dr. Stefan Funk, Dr. Dmitry Malyshev, Dr. Thorsten Glüsenkamp, Tutoren
Time and place: n.V.
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2018/2019:
- Methods of data analysis II & Introduction to machine learning (PW-MoDA)
- Department: Chair of Physics
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