AI Glossary / Machine learning

🧠 Basics

Machine learning is an approach where a program doesn't get ready-made rules from a programmer, but derives them from data itself. Instead of writing thousands of "if-then" conditions, you show the algorithm thousands of examples, and it learns patterns that it then applies to new cases. This is the foundation of all modern AI: spam filters, streaming service recommendations, facial recognition and large language models - all are variants of machine learning, differing in data scale and architecture.