The course introduces main principles and methods of machine learning which are necessary for analysis of large or complex data. The course covers Decision Trees, Neural Networks, Gaussian processes and many other machine learning models and tools. During the course, students get practical experience by implementing own machine learning tools and using available models for analysis of real data, and a programming experience is therefore crucial for succeeding in the course.
Introduction to Machine Learning, 9 credits
Autumn 2022, Half-time, Linköping
Semester
Autumn 2022
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-46187
Period
202244 - 202302
Number of Places
4
Specific requirements
- 180 ECTS credits including 90 ECTS credits within one of the following subjects:
- statistics
- mathematics
- applied mathematics
- computer science
- engineering
- Passed courses in
- calculus
- linear algebra
- Passed basic course in statistics of at least 6 ECTS credits
- Passed course in programming of at least 6 ECTS credits
- English corresponding to the level of English in Swedish upper secondary education (Engelska 6)
Exemption from Swedish
Selection
Tuition fees
SEK 17397 - NB: Applies only to students from outside the EU, EEA and Switzerland.
If you have questions about the course, contact us
Isak Hietala
Jolanta Pielaszkiewicz
Kostas Mitropoulos, international coordinator
Introduction to Machine Learning, 9 credits
Autumn 2023, Half-time, Linköping
Semester
Autumn 2023
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-46187
Period
202344 - 202402
Number of Places
4
Specific requirements
- 180 ECTS credits including 90 ECTS credits within one of the following subjects:
- statistics
- mathematics
- applied mathematics
- computer science
- engineering
- Passed courses in
- calculus
- linear algebra
- Passed basic course in statistics of at least 6 ECTS credits
- Passed course in programming of at least 6 ECTS credits
- English corresponding to the level of English in Swedish upper secondary education (Engelska 6)
Exemption from Swedish
Selection
Tuition fees
SEK 17397 - NB: Applies only to students from outside the EU, EEA and Switzerland.