This course aims at bridging some of the gaps that are often encountered between classical statistics or computer science curricula and the work and research life outside academia. Students will work on a number of real-life data sets and familiarize themselves with relevant tools.
We will introduce some basics of machine learning as needed and talk about business cases and in which industry settings one would commonly encounter data of a given kind. Classes will be as interactive as possible and coding exercises and project work will be offered. The main student project will be the implementation of an applied machine learning product, taking all considerations relevant for real-world industry applications into account.
Through the course students will be introduced to modern technologies such as cluster-computing tools (e...