Robin Wieruch 10/30/2017

Polynomial Regression and Model Selection

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This article discusses moving beyond linear regression to polynomial regression for better model fitting. It explains the problem of under-fitting (high bias) when using a linear model on nonlinear data and introduces polynomial hypothesis functions to create curved regression lines that fit the training data more accurately and reduce the cost function.

Polynomial Regression and Model Selection

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