Machine Learning: Difference between revisions

Machine Learning (view source)

8 bytes removed , 19 May 2020

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 ;Notes
-* <math>\mathbf{w}</math> is the normal vector of our hyperplane so <math>\frac{w}{\Vert w \Vert})^Tx^{(i)}</math> is the length of the projection of x onto our normal vector.
+* <math>\mathbf{w}</math> is the normal vector of our hyperplane so \((\frac{w}{\Vert w \Vert})^Tx^{(i)}\) is the length of the projection of x onto our normal vector.
 : This is the distance to our hyperplane.