CS229 Lecture notes - Stanford Engineering Everywhere
1 2 Xm i=1 (hθ(x(i))−y(i))2. If you’ve seen linear regression before, you may recognize this as the familiar least-squares cost function that gives rise to the ordinary least squares regression model. Whether or not you have seen it previously, lets keep going, and we’ll eventually show this to be a special case of a much broader family ...
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