The course covers advanced topics in machine learning, primarily from Bayesian perspective. A major part of the course is devoted to the graphical models, such as Hidden Markov Models, Bayesian networks, Markov random fields and other methods. The course includes laboratory works in which students get a practical experience of data analysis.
Advanced Machine Learning
6 creditsAdvanced Machine Learning, 6 credits
Autumn 2027, Half-time, Linköping
Starts:
Autumn 2027
Start date:
06 September
End date:
07 November
Place of study:
Linköping
Pace of study:
Half-time
Level:
Second cycle
Teaching form:
On-Campus
Education Time:
Day-time
Education Language:
English
Course offering id:
LIU-05152
Number of Places:
3
Specific requirements
- 180 ECTS credits passed including 90 ECTS credits in one of the following subjects:
- statistics
- mathematics
- applied mathematics
- computer science
- engineering
- Passed courses in:
- calculus
- linear algebra
- statistics
- programming
- Passed course in Bayesian Learning of at least 6 ECTS credits
- Passed course in Computational Statistics of at least 6 ECTS credits
or equivalent - English corresponding to the level of English in Swedish upper secondary education (Engelska 6)
Exemption from Swedish
Type of Selection
Tuition fees
SEK 16600 - NB: Applies only to students from outside the EU, EEA and Switzerland.