Updated the introduction
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@@ -225,7 +225,7 @@ function $y$ to
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!bt
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\[
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y = 10x+0.01N(0,1),
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y = 10x+0.01 \times N(0,1),
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\]
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!et
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@@ -236,7 +236,7 @@ set. However, this testing 'by the eye' is obviouly not satisfactory in the
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long run. Here we have only defined the training data and our model, and
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have not discussed a more rigorous approach to the _cost_ function.
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We need more rigorous criteria in defining whether we have succeed or
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We need more rigorous criteria in defining whether we have succeeded or
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not in modeling our training data. You will be surprised to see that
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many scientists seldomly venture beyond this 'by the eye' approach. A
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standard approach for the *cost* function is the so-called $\chi^2$
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