Course: Strojové učení

Topic outline

Select topic Machine Learning

Machine Learning

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- Select activity All slides 14.2.2023
  
  All slides 14.2.2023 File
  
  This is the plan for the Machine Learning course.
  
  Only changes with respect to this file will be posted separatelly.
- Select activity Additive Models, Trees, and Related Methods
  
  Additive Models, Trees, and Related Methods File
  
  To be updated again.
- Select activity Model Assesment and Selection
  
  Model Assesment and Selection File
  
  Slightly updated slides.
- Select activity Linear Methods for Classification
  
  Linear Methods for Classification File
  
  Slightly updated slides.
- Select activity Gaussian Graphical Models
  
  Gaussian Graphical Models File
  
  Slides for GGM.
  
  Slides after the gLasso procedure can be omitted.
- Select activity Gaussian Processes
  
  Gaussian Processes File
  
  Minor corrections and an added application.
- Select activity Consultations: Thuesday 14:30-15:00, S303 or send ...
  
  Consultations: Thuesday 14:30-15:00, S303 or send me an e-mail.
- Select activity Recordings from the year 2021 česky strojoveucen...
  
  Recordings from the year 2021
  
  česky strojoveuceni2021.zip
  
  English machinelearning2021.zip .
- Select activity Discussion
  
  Discussion Forum
- Select activity Oznámení
  
  Oznámení Forum
Select topic Introduction

Introduction
Select topic Gaussian Graphical Models

Gaussian Graphical Models
Select topic Gaussian Processes and Bayesian Optimization

Gaussian Processes and Bayesian Optimization
Select topic Kernel methods, Splines

Kernel methods, Splines
Select topic Logistic Regression, LDA, QDA, Examples

Logistic Regression, LDA, QDA, Examples
- Select activity Logistic regression spreadsheet
  
  Logistic regression spreadsheet File
Select topic Model Assessment

Model Assessment
Select topic Decision Trees, MARS

Decision Trees, MARS
Select topic Ensamble Learning

Ensamble Learning
Select topic Clustering

Clustering
Select topic Bayesian Methods, EM algorithm

Bayesian Methods, EM algorithm
- Select activity EM Examples
  
  EM Examples File
Select topic Association Rule Learning

Association Rule Learning
Select topic Inductive Logic Programming

Inductive Logic Programming
Select topic PCA Extensions, Independent Component Analysis

PCA Extensions, Independent Component Analysis
Select topic Support Vector Machines

Support Vector Machines

Topic outline

Machine Learning

Introduction

Gaussian Graphical Models

Gaussian Processes and Bayesian Optimization

Kernel methods, Splines

Logistic Regression, LDA, QDA, Examples

Model Assessment

Decision Trees, MARS

Ensamble Learning

Clustering

Bayesian Methods, EM algorithm

Association Rule Learning

Inductive Logic Programming

PCA Extensions, Independent Component Analysis

Support Vector Machines