Interdisciplinary Introduction to Machine Learning - Theory (10SMSTS-201)
Description
This course on machine learning is designed to provide a comprehensive understanding from a multi-disciplinary perspective. Throughout the course, we will delve into the algorithms and techniques that constitute machine learning, while also considering its applications and limitations across various fields – Medicine, Law, Linguistics, Physical Sciences, and Robotics, to name a few.
The aim is to equip students with the knowledge to critically assess the suitability of machine learning solutions for different types of challenges.
By the end of this course, students should have a nuanced understanding of machine learning's capabilities and restrictions, informed by examples across multiple sectors.
Target group
MA
ECTS Credits
3 ECTS
