Program Overview

Advanced Topics in Machine Learning

Overview

Advanced machine learning including trending advanced topics typically within:

• PAC-baysian analysis
• advanced support vector machines
• deep learning
• online learning
• reinforcement learning

Level and Credits

• Level: Master
• ECTS: 7.5

Tuition Fee

• Price: DKK 6,375

Course Description

Content
Advanced machine learning including trending advanced topics typically within:

• PAC-baysian analysis
• advanced support vector machines
• deep learning
• online learning
• reinforcement learning.

Prerequisites

• Solid mathematical foundation
• knowledge of Machine Learning corresponding to the course Machine Learning above
• programming experience.

Practical Information

The course is offered as a single-subject course at the Faculty of Science.

• Single-subject courses typically run for seven to nine weeks with scheduled activities approx. one day per week.
• You will be attending the course together with full-time students from the Faculty of Science, and you must meet various admission requirements.
• The course ends with an exam.
• The number of places is limited, and they are allocated on a first-come, first-served basis.

Location

• University of Copenhagen
• Department of Computer Science

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