[Startsidan]

Introduction to Machine Learning

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 and clustering

Extent:
4 hp

Prerequisites
Statistics III: Regression analysis or equivalent
Basic knowledge of R