Linear Algebra and Learning from Data
Stockholm University
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End date:
Pace of study: 50 %
Published education catalogue
Linear Algebra and Learning from Data
Education information from the published source. The education record and its time-bound offerings are kept separate.
Education facts
Code: MM7024
Kursen innehåller: Grundläggande beräkningseffektiva algoritmer för stora matriser; Principalkomponentanalys; Glesa och underbestämda system och deras relation till komprimering av data; Konstruktion av neurala nätverk och modeller för djup inlärning; Anpassning av hyperparametrar; Valda ämnen om särskilda matristyper.
Entry requirements
Admission the course requires knowledge equivalent to: - Mathematics II - Analysis, part A (MM5010), - Mathematics II - Linear Algebra (MM5012), - Numerical Analysis (MM5014), - Programming Techniques for Mathematicians (DA2004), - Probability Theory I (MT3001), - and English 6 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: 2025-10-21T16:15:05