In many articles, the terms Generative Artificial Intelligence and Machine Learning are used, and it is not always easy to classify them correctly or understand their differences. This blog will help you gain clarity quickly.
What is Machine Learning?
Definition and Purpose
Machine Learning (ML) is a subfield of Artificial Intelligence. Its goal is to enable machines to identify patterns in data and make predictions – without explicit programming. These systems learn from examples and improve with experience.
Typische Anwendungen im Softwaretest
Defect prediction based on historical bugs
Anomaly detection in system logs
Regression risk analysis for test case prioritization
Most commonly applied: Supervised Learning with labeled data. Alternatively: Unsupervised Learning for pattern recognition without predefined categories.