Glossary

This glossary excerpt delves into Decision Theory, an interdisciplinary study that focuses on logical decision-making processes, especially under uncertain conditions. This applied probability theory branch emphasizes identifying optimal decisions based on the decision-maker’s objectives and preferences.

Decision Tree Learning is a popular method in data-driven fields like statistics and machine learning used to predict outcomes by creating model based on multiple input variables.

Declarative Programming is a coding methodology that expresses desired results without detailing the process. It focuses on ‘what’ more than ‘how,’ simplifying software logic flow.