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Faculty of Mathematics and Physics
Department of Theoretical Computer Science and Mathematical Logic
Machine Learning
Strojové učení
Gaussian Processes and Bayesian Optimization
Gaussian Processes and Bayesian Optimization
Section outline
◄
Gaussian Graphical Models
►
Clustering
◄
Gaussian Graphical Models
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Main course page
Introduction
Kernel methods, Splines
Logistic Regression, LDA, QDA, Examples
Decision Trees, MARS
Ensamble Learning
Model Assessment
Gaussian Graphical Models
Clustering
Bayesian Methods, EM algorithm
Association Rule Learning
Inductive Logic Programming
PCA Extensions, Independent Component Analysis
Support Vector Machines
►
Clustering