Common AI Terms Beginning with R | Flux+Form AI Dictionary -

Random Forest

An ensemble method that builds multiple decision trees and combines their predictions to improve accuracy and reduce overfitting.

A stochastic process where each step is determined randomly; used in modelling exploration behavior.

Algorithms that suggest items or content to users based on their preferences and behavior.

A class of models that predict continuous outcomes based on input variables.

Techniques that prevent models from overfitting by constraining complexity, such as L1 or L2 penalties.

A type of machine learning where an agent learns to make decisions by receiving rewards or penalties for its actions.

A technique for generating random samples from a distribution by drawing from a proposal distribution and rejecting some points.

Practices that ensure AI systems are developed and used in ways that are ethical, transparent and aligned with organizational values.

Delivering ads to users who have previously interacted with a brand’s website or content, leveraging cookie or ID data.

A performance metric that measures the revenue generated for each dollar spent on advertising.

In reinforcement learning, a function that assigns a numerical reward to actions based on how well they achieve the desired outcome.

Evaluating the potential for negative outcomes, such as fraud or brand damage, in marketing and operational decisions.

Software that automates repetitive back‑office tasks; increasingly used in marketing operations for efficiency.

The degree to which a model’s performance remains stable under noise, adversarial inputs or data shifts.

A plot that illustrates the diagnostic ability of a binary classifier by showing the trade‑off between true and false positive rates.