|Lecturers:||Günter Klambauer, Markus Schedl|
|Times/locations:||Mon 15:30-17:00, room MT 127|
|Start:||Mon Oct 01, 2018|
|Mode:||VL, 2h, weekly|
Machine learning is concerned inferring models/relationships by learning from data. Machine learning methods have become indispensable in various fields, such as, process modeling, computer vision, signal processing, speech and language processing, life sciences, and so forth. This course gives a beginners' introduction to machine learning. It features the most essential concepts as well as it gives an overview of the most important methods. The methodological subjects are complemented by examples of exciting recent real-world applications of machine learning methods.