Machine learning methods (5 cr)

Objective

You are familiar with various machine learning methods.
You understand what supervised learning means.
You understand what unsupervised learning means.
You understand the principles of linear regression.
You understand how logistic regression is used in classification.
You can communicate using machine learning terminology.
You are familiar with the basics of neural networks.
You understand the principles of decision trees and random forests.

Content

What are the different methods of machine learning?
How are machine learning models implemented through programming?
How is the appropriate machine learning method chosen for a specific application?
How are different libraries for machine learning used in programming?

Course material

Lecture notes and calculations.

Study forms and methods

Final exam.

RDI and work-related cooperation

This course does not include RDI and work-related cooperation.

Evaluation scale

1-5

Qualifications

Skills in machine learning mathematics, programming, and data analysis are required.