Unsupervised Learning
Stockholm University
Stockholm
Start date:
End date:
Pace of study: 50 %
Published education catalogue
Unsupervised Learning
Education information from the published source. The education record and its time-bound offerings are kept separate.
Education facts
Code: MT7050
Kursen syftar till att introducera såväl grundläggande som moderna begrepp inom statistisk inlärning utan träningsdata (oövervakad inlärning) med tillämpningar inom statistisk dataanalys. Centrala begrepp som gås igenom inkluderar likhetsmått, linjära och icke-linjära metoder för dimensionsreducering, centroid-, fördelnings- och täthetsbaserade metoder för klusteranalys, visualisering av högdimensionella data, hierarkiska metoder samt olika valideringsmetoder.
Entry requirements
To qualify for the course, knowledge equivalent to Statistical analysis, 7,5 hp (MT4001), Probability theory II, 7,5 hp (MT5018), Programming techniques for mathematicians, 7,5 hp (DA2004) is required. English 6 or the 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: 2026-03-02T14:59:21