Örebro University is offering an introduction course in machine learning. The course will offer knowledge of the basic concepts with machine learning, the selection and application of different machine learning algorithms as well as evaluation of the performance of these learning systems.
After completing the course, student should be able to prepare data and apply machine learning techniques to solve a problem in an intelligent system. The course is part of the education initiative Smarter at Örebro University.
Basic concepts and algorithms for supervised and unsupervised learning.
Areas of application for machine learning algorithms for classification and prediction.
Methods of data preprocessing, such as normalisation, attribute extraction and selection, dimensionality reduction and balancing.
Practical recommendations for application of machine learning algorithms.
Evaluation and analysis of machine learning algorithm performance.
Additional subjects: bias and variance balancing, reward-based learning, combination learning.
This contract education initiative is aimed at working professionals with a higher education qualification of 180 credits earned at the first cycle (bachelor's level) with computer science/computer technology as the main field of study, or alternatively a higher education qualification of 180 credits earned at the first cycle (bachelor's level) in e.g. computer technology/computer science/systems science (which includes computer programming).
