Machine Learning and Artificial Intelligence
This course is an introduction to data science for non-computer scientists. The course covers topics from data preparation, clustering, regression and classification, model evaluation, and embedding of unstructured data. Restrictions/Prerequisites: The course will be promoted by the University’s Doctoral School, and we expect enrollment from students of engineering, natural sciences, and humanities. The course is not intended for computer science students or students whose curricula already included courses on machine learning or data science. No prior knowledge on the topics is assumed. This course will not use computer programming and no prior knowledge on statistics or data science is required.
