VU Hands on Machine Learning



  • 02 March 2023–22 June 2023 Universität für angewandte Kunst in Wien, Wien, Österreich (GCP)


Machine Learning, Artificial Intelligence, Coding, Programming, Python, TensorFlow, Linear Regression, Recommender Systems


This course is the practical/experimental companion to Clemens Apprich's seminar on the theory and history of Machine Learning. While it is not a formal requirement to also attend this other course, we highly recommend to jointly attend both of those two courses. Ongoing course documentation:


The course features three major parts we will focus on: 1. Intro & linear regression models: in the first weeks of the course we will familiarise ourselves with the basic setup and the scripting basics we need to create and experiment with simple linear regression models with Python on your own computing device. 2. Recommender systems: after we gained some familiarity with creating and working on linear regression models, we focus on recommender systems and creating and experimenting with machine learning models that can be used in recommender systems 3. Project work & open experimentation: the final weeks of the course aim at defining specific (prototype) projects, which the attendees will work on either individually or in groups, as part of their final exercise in this course



  • Universität für angewandte Kunst in Wien, Wien, Österreich
  • Oskar-Kokoschka-Platz 2
  • 1010 Wien
  • Österreich
Published By: Andrea Klaura | Universität für Angewandte Kunst Wien | Publication Date: 07 September 2023, 09:40 | Edit Date: 07 September 2023, 09:51