deletions | additions       diff --git a/Where_mathbf_w_T_is__.md b/Where_mathbf_w_T_is__.md  index a343257..d925d31 100644  --- a/Where_mathbf_w_T_is__.md  +++ b/Where_mathbf_w_T_is__.md 
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Where \(\mathbf{w^T}\) is a vector of weights, and \(\mathbf{X}\) is our original data point with the addition of an identity element to allow for a intercept term. That is, if \(\mathbf{X}_i = (x_1, x_2, \dots, x_d)^T \in \mathbb{R}^d\) then our transformed data point would be represented as \((1, x_1, x_2, \dots, x_d)^T \in \mathbb{R}^{d+1}\). The addition of this dimension is used widely, for example ina  simple linear regression. Since then, the use of constraints or penalties