If you are interested in data-driven methods for predicting or decision-making, then this course is for you. The course focuses on advanced non-linear machine learning models both for tabular data and image data. If you have already taken the course Machine Learning with R, part 1, this is the perfect opportunity to deepen your skills in the rapidly evolving field of machine learning. However, it can also be taken as a standalone course since basic ideas and concepts of machine learning are reviewed during the first parts of the course. Ultimately, you will acquire knowledge about machine learning and will be able to apply these skills to real-world problems.
Machine learning with R, part 2, is running at 25% study pace and is given in English.
In order to read this course, you must have access to a computer to install and run R on.
The course includes mandatory meetings in connection to examination. When the course is given online, all these meetings are held in Zoom. Other, non-mandatory meetings, in connection to lectures etc are also held in Zoom when the course is given online.
The course includes mandatory meetings in connection to examination. All these meetings are held in Zoom. Other, non-mandatory, meetings in connection to lectures etc are also held in Zoom. The number of meetings are preliminary and can be adjusted when booking the schedule.
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
The online application opens 15 September 2025 at 09:00 CET.
Application deadline is
15 October 2025. How to apply
Application and tuition fees
As a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, you are required to pay application and tuition fees for studies at Umeå University.
