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Linnaeus University (Kalmar Växjö)
Introduction to Machine Learning
The course covers machine learning concepts and methods. The following topics are covered in the course: basic statistical concepts supervised and unsupervised learning linear and polynomial regression, logistic regression decision trees Support vector machines unsupervised learning using the k-means clustering algo…
- Higher education
- Information unavailable
- 29 March 2027
- VÄXJÖ
- Information unavailable
- 50 %
Overview
The course covers machine learning concepts and methods. The following topics are covered in the course: basic statistical concepts supervised and unsupervised learning linear and polynomial regression, logistic regression decision trees Support vector machines unsupervised learning using the k-means clustering algorithm algorithm evaluation using cross-validation and mean square error evaluation metrics such as precision, recall, and F-score algorithm implementation using Python
Admission scores
Entry requirements
60 credits including 7.5 credits of Linear Algebra (e.g 1MA133 or 1MA403 or equivalent) 15 credits of Programming (e.g 1DV501 and 1DV502 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
- 2027-03-29
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.lnu.2dv516.f3490.20271
- Last checked
- 2026-09-23T10:38:08.982951+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
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- Programme or course starts
- Programme or course ends
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Common occupations after graduation
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About the provider
Linnaeus University (Kalmar Växjö)
Provider for the published education offering.
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.lnu.2dv516.f3490.20271
- Offering identity in the source
- e.uoh.lnu.2dv516.f3490.20271
- Education-form source code
- HS
- Education code in the source
- 2DV516
- Change time according to the source
- 2026-05-22T14:25:05
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.