typo in regression
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@@ -140,7 +140,7 @@ MathJax.Hub.Config({
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<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
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<br>
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<p>
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<center><h4>Dec 20, 2019</h4></center> <!-- date -->
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<center><h4>Dec 22, 2019</h4></center> <!-- date -->
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<br>
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<h2 id="___sec0">Introduction </h2>
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@@ -1170,7 +1170,7 @@ Finally, another cost function is the Huber cost function used in robust regress
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It is less sensitive to outliers in data than the squared error cost function.
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A variant for classification is also sometimes used, a quantity we will meet later.
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$$
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L_{\delta }(a)={\begin{cases}{\frac {1}{2}}{a^{2}}&{\text{for }}|a|\leq \delta ,\\\delta (|a|-{\frac {1}{2}}\delta ),&{\text{otherwise.}}\end{cases}}}L_{\delta }(a)={\begin{cases}{\frac {1}{2}}{a^{2}}&{\text{for }}|a|\leq \delta ,\\\delta (|a|-{\frac {1}{2}}\delta ),&{\text{otherwise.}}\end{cases}}
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L_{\delta }(a)={\begin{cases}{\frac {1}{2}}{a^{2}}&{\text{for }}|a|\leq \delta ,\\\delta (|a|-{\frac {1}{2}}\delta ),&{\text{otherwise.}}\end{cases}}}.
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$$
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<p>
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