Advanced Machine Learning, 6 credits
Start of studies
No occasions planned
Form of education
Language
Period
Admission to the course requires taken courses in Applied Artificial Intelligence, 6 credits and in Machine Learning, 6 credits. English 6.
The main purpose of the course is to introduce students to advanced methods from machine learning and data mining. The current technological development and integration of AI and the Internet of Things (IoT) require new and intelligent solutions for processing and analyzing heterogeneous, multi-dimensional data coming from multiple sources. In order to cope with these new challenges, hybrid and advanced techniques are required, e.g., semi-supervised learning, federated learning, data stream mining, and many others. The course will cover such methods and provide the necessary skills for the students, broaden their knowledge, and prepare them to deal with real-world industrial challenges.
Admission to the course requires taken courses in Applied Artificial Intelligence, 6 credits and in Machine Learning, 6 credits. English 6.
Study subject
Computer Science
Level
A1F
Course code
DV2640