Machine Learning

Course overview

In Machine Learning, or machine learning, artificial knowledge is generated from experience - it is a subfield of Artificial Intelligence. IT systems are capable of identifying patterns in existing data sets and finding independent solutions to problems using algorithms. In this way, processes can be optimized, predictions made, or probabilities calculated. The course takes you from the basics, introducing the various types of machine learning, through the two categories of supervised and unsupervised learning, which are treated in detail, to the final topic of evaluation and improvement. Introduction to Machine Learning Supervised Learning Unsupervised Learning Evaluation and Improvement Project Work in Machine Learning Changes are possible; course content is regularly updated.

Upcoming dates

• 2026-08-02T22:00:00.000Z · 2026-08-27T22:00:00.000Z · Aachen · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-08-27T22:00:00.000Z · Albstadt, Württemberg · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-08-27T22:00:00.000Z · Alzenau in Unterfranken · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-08-27T22:00:00.000Z · Bergisch Gladbach · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-08-27T22:00:00.000Z · Berlin · Combined Learning