This offering is not in the current catalogue. The information is retained from an earlier publication. Check the provider's current offering.
Kristianstad University
Fundamentals of Machine Learning
The course deals with: · basic machine learning methods · basic statistics of importance to machine learning · the preprocessing of data and the importance of ranking input variables · characterising the performance of machine learning algorithms · unsupervised learning · supervised learning · basic reinforcement l…
- Higher education
- Information unavailable
- 31 August 2026
- Kristianstad
- Information unavailable
- 50 %
Overview
The course deals with: · basic machine learning methods · basic statistics of importance to machine learning · the preprocessing of data and the importance of ranking input variables · characterising the performance of machine learning algorithms · unsupervised learning · supervised learning · basic reinforcement learning · classification and regression · artificial neural networks
Admission scores
Entry requirements
A minimum of 135 credits including 60 credits within Computer Science, programming 22,5 credits, mathematics 22,5 credits and English 6 or equivalent.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-08-31
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.hkr.da602b.09gqs.20262
- Last checked
- 2026-09-23T10:37:43.911976+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
Application and important dates
- Programme or course starts
- Programme or course ends
Salary and salary distribution
Common occupations after graduation
Students
Geographical background
Previous upper-secondary schools and programmes
Completion and outcomes
About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.hkr.da602b.09gqs.20262
- Offering identity in the source
- e.uoh.hkr.da602b.09gqs.20262
- Education-form source code
- HS
- Education code in the source
- DA602B
- Change time according to the source
- 2026-02-25T08:30:10
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.