Machine learning

By now, you have learned that connectionist AI consists of models that learn to solve problems by looking at example data. This is often done with the use of machine learning. In this video, educator Rosa Verhoeven explains how machine learning works.

In order to be able to use artificial intelligence to its full potential, it’s important to understand how the underlying mechanisms of these models work. These underlying mechanisms are called algorithms, which are basically a set of instructions that the machine has to follow. What kind of machine learning algorithms can be used for which problems? And how are these algorithms trained?