Introduction to Machine Learning
Kristianstad University
Flexibel
Start date:
End date:
Pace of study: 50 %
Published education catalogue
Education information from the published source. The education record and its time-bound offerings are kept separate.
Code: DA568D
Kursen behandlar: · Introduktion av maskininlärning · Historisk sammanfattning av artificiell intelligens (AI) · Maskininlärningsalgoritmer · Förbehandling av data och egenskapsextraktion · Implementering av maskininlärning i Python · Övervakad maskininlärning · Artificiella neurala nätverk · Grundläggande statistik och linjär algebra
General entry requirements and a programming course in C, C++, C#, Java or Python for at least 7,5 credits or the equivalent
Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.
Kristianstad University
Flexibel
Start date:
End date:
Pace of study: 50 %
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Published: .
Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d
Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Last changed according to the source: 2026-02-25T08:30:09