Fundamentals of Machine Learning
Kristianstad University
Start date:
End date:
Pace of study: 50 %
Published education catalogue
Fundamentals of Machine Learning
Education information from the published source. The education record and its time-bound offerings are kept separate.
Education facts
Code: DA602A
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
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 or equivalent.
Education offerings
Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.
Source and updates
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Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d
Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Last changed according to the source: 2025-05-28T11:00:13