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Introduction to machine learning

The course is given online March 9th through April 10th

Start date: 9 March 2026 08:00

End date: 10 April 2026 17:00

Organiser: Centre for Statistics

Location: Online

Last day of registration: 13 February 2026

Register for event

Course content

The course will cover the following topics: 

  • Principles of machine learning:
    • over- and underfitting,
    • bias-variance tradeoff,
    • cross-validation
  • Tree-based methods:
    • Decision trees and ensemble methods
  • Artificial neural networks (ANN)
  • Unsupervised learning:
    • PCA
    • clustering

Course leader: 

Reza Belahi

Extent

4hp

Prerequisites

Statistics I: Basic Statistics or equivalent

Statistics III: Regression analysis or equivalent

Basic knowledge of R