Linear Regression

Assume that the response is a linear function of the inputs.

y(x)=WTX+ϵ=j=1Dwjxj+ϵy(x) = W^TX + \epsilon = \sum_{j=1}^{D}{w_jx_j} + \epsilon

ϵ\epsilon is the residual error between our linear predictions and the actual answer.

WW is the model's weight vector.