This is an introductory course targeting students with a less strong background in mathematics. The student should get the theoretical mathematical background knowledge expected for the machine learning parts of all WASP-courses
Course type:
- AS track: introductory
- AI track: elective
- Joint curriculum: introductory
Time: Given yearly, Spring
Teachers: Anders Forsgren (KTH)
Examiner: Marina Axelson-Fisk (CTH)
This is an introductory course targeting students with a less strong background in mathematics.
The student should get the theoretical mathematical background knowledge expected for the machine learning parts of all WASP-courses.
The mathematical foundations for machine learning following Diesenroth et al’s book Mathematics for Machine learning p. 1-249.
Assignments
Syllabus (Kursplan)
Course page
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