Introduction to Machine Learning
Stockholm University
Startdatum:
Slutdatum:
Studietakt: 50 %
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Kod: DA4004
Machine learning and artificial intelligence has a strong influence on society today, both in practice and in people’s minds. Many organisations, both in the public sector and in business, are trying to take advantage of the new technology. In this course you will be introduced to basic principles in the field of machine learning, good practice, as well as some important and easily accessible methods. In exercises you get to experiment with these methods and learn how to use them in practice.
For course admission knowledge equivalent to the following is required: Mathematics I, 30 ECTS credits (MM2001), Programming Techniques for Mathematicians (DA2004) 7.5 ECTS credits.
Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.
Stockholm University
Startdatum:
Slutdatum:
Studietakt: 50 %
Hämtad: .
Publicerad: .
Publiceringsversion: 8e217193-f5fa-4778-b085-a4521fd03e8d
Kontrollsumma: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Senast ändrad enligt källan: 2025-08-19T13:11:28