Applications of Machine LearningLaajuus (5 cr)

Objectives

The student is familiar with the most common algorithms and implementation techniques of machine learning. The student knows how to prepare the data, choose the method and teach the model. The student is able to control data driving in a learned model and analyze the results.

The student knows the principles of project management and management.

Content

Most common algorithms and implementation techniques for machine learning. Preparing data, selecting a method and teaching a model, driving data to a learned model, and analyzing the results.

Project management and management.

Prerequisites

Datan varastointiteknologiat

Assessment criteria, satisfactory (1-2)

The student is able to use a suitable machine learning method. Students get results using the model.

Assessment criteria, good (3-4)

The student is able to use a suitable method. The student is able to produce results using the model.

Assessment criteria, excellent (5)

The student is able to choose the most suitable method for the goal. The student is able to estimate the meaning of the results produced by the model.