4020260177 Machine Learning and Statistics

SS 2027 WS 2026
SS 2026
SS 2025 WS 2025 Department of Physics
open chemistry

KVL / Klausuren / MAP 1st HS: 13.04 2nd HS: 01.06 sem.br.: 20.07 begin WS: 10.10

1.FS Phy \| M.Sc.-H \| PO2016 2.FS Phy \| M.Sc.-H \| PO2016 3.FS Phy \| M.Sc.-H \| PO2016 4.FS Phy \| M.Sc.-H \| PO2016 5.FS Phy \| B.Sc.-Mono \| PO2018 6.FS Phy \| B.Sc.-Mono \| PO2018	UE	Mon 13-15	14-day	NEW 15 3'101 (24)	Elizabeth Holland
	VL	Mon 11-13	weekly	NEW 15 3'101 (24)	Judith Katzy

Digital- & Präsenz-basierter Kurs

classroom language: deutsch-englisch
requirements: Computational Physics 1, python
structure / topics / contents: Machine learning: Neuronale Netze, backprop&learning algorithms, CNN, Graph NN, Transformers, Uncertainties & network inspection, Unsupervised Learning: Autoencoder
STatistic: Basics of Probability Theory, SpecificProbabilityDistributions, error propagation, Central limit theorem,Neyman Confidence Intervals, ParameterEstimation, p-value, significance, HypothesisTesting, Maximum Likelihood method
assigned modules: P8g P25.5
amount, credit points; Exam / major course assessment: 4 SWS, 6 SP/ECTS (Arbeitsanteil im Modul für diese Lehrveranstaltung, nicht verbindlich)
exercises
other: The exercises can only be done in combination with the lectures and the credit points apply to the combination.
contact: judith.katzy@desy.de

Humboldt Universitaet zu Berlin Faculty of Mathematics and Natural Sciences Department of Physics auf deutsch