Machine Learning and Data Mining (VL) |
Untertitel:This course is part of the module: Machine Learning and Data Mining |
DozentIn:Dipl. Informatiker Rainer Marrone |
Veranstaltungstyp:Vorlesung (Lehre) |
Beschreibung:- Decision trees
- First-order inductive learning
- Incremental learning: Version spaces
- Uncertainty
- Bayesian networks
- Learning parameters of Bayesian networks
BME, MAP, ML, EM algorithm - Learning structures of Bayesian networks
- Gaussian Mixture Models
- kNN classifier, neural network classifier, support vector machine (SVM) classifier
- Clustering
Distance measures, k-means clustering, nearest neighbor clustering - Kernel Density Estimation
- Ensemble Learning
- Reinforcement Learning
- Computational Learning Theory
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Ort:nicht angegeben |
Semester:SoSe 24 |
Zeiten:Di. 08:00 - 09:30 (wöchentlich) - Lecture D-1.023,
Di. 09:45 - 11:15 (wöchentlich) - Exercise A-1.20 Erster Termin:Dienstag, 02.04.2024 08:00 - 09:30 |
Veranstaltungsnummer:lv340_s24 |
ECTS-Kreditpunkte:6 |
Weitere Informationen: |
Heimatinstitut: Institut für Softwaresysteme (E-16)
In Stud.IP angemeldete Teilnehmer: 160
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