Data Challenge 1



The objective of the Data Challenge courses is to teach students how to perform large-scale data-driven analyses themselves, combining the technical skills acquired earlier with insights gained in methodological courses. As an example, consider the classification of images for detecting a disease or any other outcome variable of interest. The challenge in this setting involves training a model on the classification task and reflecting the quality of the trained classifier regarding its practical application. Ethical considerations should also be taken into account.
Course period1/09/17 → …
Course levelDeepening
Course formatCourse