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General regression and over fitting
In the last post, I discussed the statistical tool called linear regression for different dimensions/numbers of variables and described how it boils down to looking for a distribution concentrated near a hyperplane of dimension one less than the total number of variables (co-dimension one). For two variables this hyperplane is just a line, which is…
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General regression and over fitting
In the last post, I discussed the statistical tool called linear regression for different dimensions/numbers of variables and described how it boils down to looking for a distribution concentrated near a hyperplane of dimension one less than the total number of variables (co-dimension one). For two variables this hyperplane is just a line, which is…
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General regression and over fitting
In the last post, I discussed the statistical tool called linear regression for different dimensions/numbers of variables and described how it boils down to looking for a distribution concentrated near a hyperplane of dimension one less than the total number of variables (co-dimension one). For two variables this hyperplane is just a line, which is…
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