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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
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