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A brief introduction to Neural Networks with an example in R
Motivation: Suppose there are two predictors and the decision boundary is non-linear, then one can introduce quadratic terms in the logistic regression, i.e. $ latex h_{\theta}(x)=g(\theta_0+\theta_1 x_1+\theta_3 x_2+\theta_4 x_1^2+\theta_5 x_1x_2+\theta_6 x_2^2),$ where is the logistic function. However, most questions have more … Continue reading
Posted in Machine Learning, R
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