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Faculty of Mathematics and Physics
Department of Theoretical Computer Science and Mathematical Logic
Machine Learning
Strojové učení
Machine Learning
Machine Learning
Section outline
►
Introduction
Select section Machine Learning
Select activity All slides, ver. 27th February 2025
All slides, ver. 27th February 2025
File
Select activity Consultations: Thuesday 14:00-15:00, S303.
Consultations: Tuesday 14:00-15:00, S303.
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Main course page
Machine Learning
Introduction
Kernel methods, Splines
Logistic Regression, LDA, QDA, Examples
Model Assessment
Decision Trees, MARS
Ensemble Learning
Bayesian Methods, EM algorithm
Clustering
Association Rule Learning
Inductive Logic Programming
Gaussian Graphical Models
Gaussian Processes and Bayesian Optimization
Archive
Support Vector Machines + Further Methods
►
Introduction