Category Archives: R

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 | Leave a comment