Machine Learning

<p>This course is aimed at those who want to gain a broad knowledge of different types of machine learning and an understanding of how different machine learning methods work, either if you are working as an engineer and want further education or want to complement on-going higher education with a course in machine learning. The course takes off with an introduction to the field of machine learning, discussing the three different basic principles for machine learning – Supervised, Unsupervised, and Reinforcement Learning. Then we take a closer look at some specific methods within each of these areas. Within Supervised Learning, we first look at linear classifiers followed by Neural Networks, including Deep Learning and Convolutional Neural Networks. Within the category Unsupervised Learning, we cover data analysis methods such as Principal Component Analysis and Clustering. Finally, we look at Q-learning as an example of Reinforcement Learning.&nbsp;</p><p>The course contains 4 programming exercises that should be reported in written form and comprise the examination of the course. The course is given completely on distance with scheduled occasions for seminars and supervision.&nbsp;</p><p>As the course is given in English, this is a prerequisite. If your high school qualifications are not already on your pages on antagning.se, you need to upload your high school diploma, or equivalent, on antagning.se in connection with your application.</p>