MA-225 Statistical machine learning
- ECTS Credits:
- 10
- Responsible department:
- Faculty of Engineering and Science
- Course Leader:
- Torstein Kastberg Nilssen
- Lecture Semester:
- Autumn
- Teaching language:
- Norwegian. English when needed.
- Duration:
- 1 term
The course is connected to the following study programs
- Industrial Mathematics, Bachelor's Programme
Teaching language
Norwegian. English when needed.Recommended prerequisites
MA-183, MA-185, MA-186, INF120
Course contents
Statistical methods in machine learning. Multipple regression. Non-linear transformation of data. Confidens intervals in parameter estimation. Logistic regression. Support vector machines.
Learning outcomes
Upon successful completion of the course, the student will be able to
-
Understand the most important principles of supervised learning and how to evaluate them
-
Build, estimate and interpret linear and non-linear regression models.
-
Build and interpred simple models for classification of data
-
Use a programming language to apply machine learning techniques for large data sets.
Examination requirements
Approved mandatory hand-ins. See Canvas for more information.
Teaching methods
Lectures, group work, mandatory hand-ins. Estimated workload of the course is 267 hours.
Evaluation
The person responsible for the course decides, in cooperation with student representative, the form of student evaluation and whether the course is to have a midway or end of course evaluation in accordance with the quality system for education, chapter 4.1.
Admission for external candidates
No
Offered as Single Standing Module
Yes. Subject to availability or capacity.
Assessment methods and criteria
5-hours written exam under supervision. The exam is graded.
Reduction of Credits
This course’s contents overlap with the following courses. A reduction of credits will occur if one of these courses is taken in addition:
| Course | Reduction of Credits |
|---|---|
| MA-217 – Statistical Machine Learning | 7.5 |