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Displaying articles for: January 2019
There are two types of model errors when making an estimate; bias and variance. Understanding both of these types of errors, as well as how they relate to one another is fundamenta...
Spatial interpolation is the process of using points with known data values to estimate values at other, unknown points.
“Essentially, all models are wrong, but some models are useful.” Unpacking the famous George Box quote.
Machines are not constrained by human experience or expectations, only by what we give them as inputs. This can be exciting and beautiful, or dangerous.