Mathematical Modeling
Mathematical modeling is the process of creating a mathematical representation of a real-world system or phenomenon. It involves identifying the key variables and relationships that govern the behavior of the system, and using mathematical equations and algorithms to simulate and analyze its behavior. Mathematical modeling is used extensively in data science and artificial intelligence to develop predictive models and make data-driven decisions. It is also used in a wide range of fields, including physics, engineering, economics, and biology, to understand complex systems and make predictions about their behavior. The process of mathematical modeling typically involves several steps, including formulating the problem, selecting appropriate mathematical techniques, validating the model, and interpreting the results.
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