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Eight Regression Algorithms
The document discusses various machine learning algorithms including polynomial regression, quadratic regression, radial basis functions, and robust regression. It provides mathematical formulas and visual examples to explain how each algorithm works. The key ideas are that polynomial regression fits nonlinear functions of inputs, quadratic regression extends linear regression by including quadratic terms, radial basis functions use kernel functions centered at data points to perform nonlinear regression, and robust regression aims to fit data robustly by down-weighting outliers.
