algorithms

Clustering for recognizing medical patterns: Gaussian Mixture Models explained

Lea Nguyen,

24. April 2024

Medical data often hides patterns that are difficult to recognize but relevant for diagnostics and therapy. How can we identify these structures? The clustering algorithm Gaussian Mixture Model provides an answer....

Two Pruning Algorithms: MEP vs. PEP – one Goal, different Outcomes

28. February 2024

Pruning can simplify complex decision trees. In this comparison , we explore two algorithms, Minimum Error Pruning (MEP) and Pessimistic Error Pruning (PEP). What are the differences between them, and how far should one go with pruning?...

Complex Decision Trees? How Pruning keeps the ML Tool organized

Julia Wingenfeld, Michelle Fraund,

14. February 2024

Decision Trees are one of the most easily understandable and straightforward tools in the field of Machine Learning. However, Big Data has made them more complex in recent times. Can pruning help make Decision Trees accessible once again?...

Artificial Intelligence: From behavior to algorithms and intelligent agents

Sebastian Müller,

14. September 2022

In cooperation with the Landesfrauenrat RLP: In this article, author Sebastian Müller gives a compact overview of the facets of AI and answers the question of which possible basic structures underlie AI algorithms....

What is a linear regression?

Pascal Welke,

25. August 2021

Linear regression, a fundamental technique in Machine Learning, quickly delivers good results in use cases. Using Python code snippets, we demonstrate how to train linear regression models using the least squares method....