Study Guide

Objective

Students understand the principles of machine learning. The student knows the most common methods of machine learning and can apply them in practice.

Content

- Supervised and unsupervised machine learning and the most common regression and classification models
- Python libraries for machine learning applications

Assessment criteria, satisfactory (1)

The student knows the most common techniques of machine learning and can use them in simple tasks.

Assessment criteria, good (3)

Students will recognise the benefits of machine learning in different applications. Students will be familiar with the most common techniques of machine learning and will be able to use machine learning algorithms in practical tasks.

Assessment criteria, excellent (5)

Students will recognise the benefits of machine learning in different applications. Students will master the most common techniques of machine learning and be able to use machine learning algorithms in demanding tasks.