why minimising the sum of squared difference is necessary to model fitting what is sum squared cost function to fit a gaussian noise model which of the following costs functions can be used to calculate a gaussian model? what is the best cost function for generating a gaussian noise model what is the sum of squared diff what is the difference between a gaussian noise model and a sum of squared difference what is the appropriate cost function for the analysis of a linear model? what is the cost function for the sum squared difference? how does the model fitting cost function work? what is the value of the sum of squared difference of the gaussian noise model sum squared difference if underlying error is distributed in a normal way the sum of squared difference should be the appropriate which function is used to minimise the sum of squared difference what does the sums squared difference mean what is the sum of squared difference? cost of a gaussian noise model sum of squared difference and gaussian noise what is the sum of squared difference gis? which cost function is appropriate for gaussian noise models