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@ -10,7 +10,7 @@ There are two parts to a model:
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1. First, you define a __family of models__ that express a precise, but
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1. First, you define a __family of models__ that express a precise, but
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generic, pattern that you want to capture. For example, the pattern
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generic, pattern that you want to capture. For example, the pattern
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might be a straight line, or a quadatric curve. You will express
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might be a straight line, or a quadratic curve. You will express
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the model family as an equation like `y = a_1 * x + a_2` or
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the model family as an equation like `y = a_1 * x + a_2` or
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`y = a_1 * x ^ a_2`. Here, `x` and `y` are known variables from your
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`y = a_1 * x ^ a_2`. Here, `x` and `y` are known variables from your
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data, and `a_1` and `a_2` are parameters that can vary to capture
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data, and `a_1` and `a_2` are parameters that can vary to capture
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