Name a common algorithm used in AI solutions.

Decision trees are a foundational algorithm in AI solutions known for their straightforward approach to problem-solving. They work by splitting the data into branches based on feature values, ultimately leading to decisions represented at the leaves of the tree. This clear, visual structure makes them intuitive for understanding and interpreting the decision-making process, especially useful in classification tasks.

In practical applications, decision trees can handle both numerical and categorical data, making them versatile across various domains. Their ability to model complex relationships is enhanced when combined with ensemble methods like Random Forests, which build multiple trees and aggregate their results to improve accuracy and reduce overfitting.

Thus, decision trees serve as an excellent algorithm for both beginners and advanced practitioners in the field of AI, as they lay the groundwork for more complex methodologies.