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Advanced Topics in Machine Learning - DIKU

Course provider

Københavns Universitet

Location

  • Copenhagen

Description

The purpose of this course is to expose students to selected advanced topics in machine learning. The course will bring the students up to a level sufficient for writing a master thesis in machine learning.

The course is relevant for computer science students as well as students from other studies with good mathematical background, including Statistics, Actuarial Mathematics, Mathematics-Economics, Physics, etc.

Københavns Universitet

Practical information

Course provider

Københavns Universitet

Location

  • Copenhagen

Course provider contact information

Contact the study administration
E-mail: efteruddannelse@science.ku.dk
Tel.:35 33 35 33

ECTS credits

7,5

About ECTS Credits
About ECTS points ECTS stands for European Credit Transfer System. This is a system that can be used for credit transfer within higher education abroad or in Denmark.

Course language

English

Offered to

Autumn

Deadline

July 31, 2024

Current level of education

Master/Kandidat

Course duration

Kursusstart den 2. september 2024.

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The course is at this level Kandidat
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Erhvervsfaglige uddannelser
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Voksen- efter og videreuddannelse
The course is at this level Master
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