👉 Reliance math is a mathematical framework that quantifies and analyzes the dependencies between variables in complex systems, particularly in machine learning and data science. It focuses on understanding how changes in one variable affect others, often using probabilistic models and graphical representations like directed acyclic graphs (DAGs) or Bayesian networks. This approach helps in identifying causal relationships, predicting outcomes, and making informed decisions by modeling the interdependencies that exist within data. By doing so, reliance math enables more accurate and interpretable models, crucial for tasks like feature selection, causal inference, and understanding the impact of interventions in systems ranging from healthcare to economics.
