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SOLVED: Text: Python programming. def closedform(X, Y, lambdafactor): """ Computes the closed form solution of linear regression with L2 regularization Args: X - (n, d + 1) NumPy array (n datapoints each
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![SOLVED: There is no closed form solution for the error function: erf(a) = ∫e^(-x^2) dx Use (a) two-point Gauss-Legendre formulas to evaluate erf(1.8) (b) three-point Gauss-Legendre formulas to evaluate erf(1.5) SOLVED: There is no closed form solution for the error function: erf(a) = ∫e^(-x^2) dx Use (a) two-point Gauss-Legendre formulas to evaluate erf(1.8) (b) three-point Gauss-Legendre formulas to evaluate erf(1.5)](https://cdn.numerade.com/ask_images/6fe3c18bba654c049208cff2123b076a.jpg)
SOLVED: There is no closed form solution for the error function: erf(a) = ∫e^(-x^2) dx Use (a) two-point Gauss-Legendre formulas to evaluate erf(1.8) (b) three-point Gauss-Legendre formulas to evaluate erf(1.5)
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Another cool sets of infinite series with closed form solution using basic rules..We can also say that the starters of this infinite series… | Instagram
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