Syllabus:

Machine Learning with R, part 2, 3 Credits

Swedish name: Maskininlärning med R, del 2

This syllabus is valid: 2022-11-07 valid to 2023-09-17 (newer version of the syllabus exists)

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Syllabus for courses starting after 2023-09-18

Syllabus for courses starting before 2023-09-17

Course code: 2ST063

Credit points: 3

Education level: First cycle

Main Field of Study and progress level: Statistics: First cycle, has less than 60 credits in first-cycle course/s as entry requirements

Grading scale: Pass with distinction, Pass, Fail

Responsible department: Department of Statistics

Established by: Rector of Umeå School of Business and Economics, 2022-11-03

Required Knowledge

7,5 ECTS in Statistics incl. R, e.g., Machine Learning with R, part 1 (7.5 ECTS). Proficiency in English equivalent to Swedish upper secondary course English B/6

Literature

The literature list is not available through the web. Please contact the faculty.