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Faculty of Mathematics and Physics
Department of Theoretical Computer Science and Mathematical Logic
Strojové učení
Machine Learning
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All slides, ver. 24th May 2024
Introduction k-NN, LR, LARS
Splines and Kernel Methods
Linear Methods for Classification
Additive Models, Trees and Related Methods
Model Assesment and Selection
EM Algorithm, Bayesian Learning
Clustering
EM spreadsheet
ILP (Slightly updated)
Gaussian Graphical Models
Gaussian Processes
Discussion
Logistic regression spreadsheet
Lecture 5
EM Examples
Logistic regression spreadsheet ►