Introduction to statistical modelling and machine learning.
Lernziel
The goal is to familiarise students with the principles and tools of machine learning, and to enable them to apply them for practical data analysis.
Inhalt
multivariate probability distributions; comparison of distributions; regression; classification; model selection and cross-validation; clustering and density estimation; mixture models; neural networks
Literatur
- Hastie, Tibshirani, Friedman: The Elements of Statistical Learning, Springer 2009 - Bishop: Pattern Recognition and Machine Learning, Springer 2006 - Duda, Hart, Stork: Pattern CLassification, Wiley 2012
Leistungskontrolle
Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs