The document discusses decision trees and tables. It defines a decision tree as a graphical representation of possible solutions to a decision based on certain conditions. Decision trees show each decision sequentially and provide for random elements. Decision trees and tables are often used by businesses to plan strategies and analyze research. Decision tables specify actions to perform depending on given conditions and can be represented as decision trees or code. The advantages of decision trees and tables include being easy to understand, useful for data exploration, and formalizing the brainstorming process to identify more solutions. The limitations include overfitting and not fitting continuous variables.