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Machine Learning, 7,5 credits

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Start of studies

Autumn semester 2027

Form of education

Campus, Day-time, Half-time

Language

English

Period

2027 week 44 until 2028 week 2

Admission requirements

Admission to the course requires completed course in Algorithms and Data Structures, 6 credits and taken course in Applied Artificial Intelligence, 6 credits.

The main purpose of the course is to introduce theory and methods from machine learning and real-world applications from data mining. The technological development has increased our dependency on databases for storage and processing of information. The number and size of these databases grow rapidly. Due to this growth, it becomes more difficult to manually extract useful information. We therefore need semiautomatic and automatic methods to use, aggregate, analyze, and extract such information. Methods and techniques from machine learning, data mining, and artificial intelligence have been shown to be useful for these purposes.

Admission requirements

Admission to the course requires completed course in Algorithms and Data Structures, 6 credits and taken course in Applied Artificial Intelligence, 6 credits.

Level

A1F

Registration code

B6J9K

Course code

DV2626

Course director
Veselka Boeva
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