Kernel Density Estimation, Regression, Differential Equations, Data Science, Statistics.
splitting off the squared y’s as their own sum. With the second equality we realize that this sum of squared y’s does not contribute to the minimization procedure we want to apply later on since it does not depend on the function f we wish to minimize for. Therefore, we can call it “const.” and not