Polynomials in Machine Learning are mathematical expressions consisting of variables and coefficients, combined using addition, subtraction, multiplication, and non-negative integer exponents. They are used to model complex, nonlinear relationships in data, allowing algorithms to capture patterns that linear models might miss. Understanding polynomials is crucial for tasks like curve fitting and designing more flexible predictive models.
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