Description

The aim of the course is to enable the student to choose and use techniques from Data Mining and Machine Learning, which is important in regard to being able to analyze large datasets in many financial, medical, commercial, and scientific applications.
Data Mining and Machine Learning techniques enable computational systems to identify meaningful patterns in the data and to adaptively improve their performance with experience accumulated from the observed data.
This course introduces the most common techniques for performing basic data mining and machine learning tasks, and covers the basic theory, algorithms, and applications. This course balances theory and practice aspects. Computational learning methods are introduced at a general level, with their basic ideas and intuition.
Moreover, the students have the opportunity to experiment and apply data mining and machine learning techniques to selected problems.
Period01/02/202001/07/2020
Target groupMaster
ECTS credits5,0 ECTS