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Machine Learning: Difference between revisions
→(Mean) Squared Error
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===(Mean) Squared Error=== | ===(Mean) Squared Error=== | ||
The squared error is:<br> | The squared error is:<br> | ||
<math>J(\theta) = \sum|h_{\theta}(x^{(i)}) - y^(i)|^2</math><br> | <math>J(\theta) = \sum|h_{\theta}(x^{(i)}) - y^{(i)}|^2</math><br> | ||
If our model is linear regression <math>h(x)=w^tx</math> then this is convex.<br> | If our model is linear regression <math>h(x)=w^tx</math> then this is convex.<br> | ||
{{hidden|Proof| | {{hidden|Proof| | ||