Machine Learning AlgorithmsLaajuus (5 cr)

Objective

The student knows and can apply the primary machine learning algorithms.

Content

The most common machine learning algorithms and their applications:
- Linear regression algorithms
- Non-linear regression algorithms
- Decision trees
- Naive Bayes
- Support vector machines
- K-nearest neighbors
- K-means
- Random forest
- Dimensionality reduction

Artificial neural networks

Assessment criteria, satisfactory (1)

The students knows the most common machine learning algorithms and their applications.

Assessment criteria, good (3)

The students knows the most common machine learning algorithms and can apply some of them to the given tasks.

Assessment criteria, excellent (5)

The student can apply a variety of machine learning algorithms and compare their efficiency and feasibility to the given tasks.