The course will give the student an introduction to and a basic knowledge on Machine Learning (ML) and its use in various parts of data analysis. The focus will be on application through examples and use of computers, and be project based.

The course will cover the following subjects:
•Introduction to Machine Learning
•Types of problems suitable for ML and their typical solutions.
•Types of problems not suitable for ML
•Classification and Regression
•Supervised vs. Unsupervised training
•Dimensionality Reduction
•ML performance
•Big Data management and data access

The course is identical to NFYK18000U Big Data Analysis. It is not allowed to pass both courses.

Sign up:

This course is offered to MSc and PhD students.

PhD students please sign up for the course using the credit student application » at this link. The course code to enter is NFYK20002U

For questions or problems with sign-up, please contact Julie Meier Hansen

This course is offered to MSc and PhD students. For full course description and MSc sign-up >> link her

For PhD students, more info below.

Sign up: If you are a PhD student, please sign up for the course as a credit student » at this link. The course code to enter is NFYK20002U.

Contact Julie Meier Hansen (juliemh@nbi.ku.dk) if you have questions or problems re. sign-up.