CheeseZH: Stanford University: Machine Learning Ex1:Linear Regression

(1) How to comput the Cost function in Univirate/Multivariate Linear Regression;

(2) How to comput the Batch Gradient Descent function in Univirate/Multivariate Linear Regression;

(3) How to scale features by mean value and standard deviation;

(4) How to calculate Theta by normal equaltion;

Data1

function [theta] = normalEqn(X, y)
%NORMALEQN Computes the closed-form solution to linear regression
%   NORMALEQN(X,y) computes the closed-form solution to linear
%   regression using the normal equations.

theta = zeros(size(X, 2), 1);

% ====================== YOUR CODE HERE ======================
% Instructions: Complete the code to compute the closed form solution
%               to linear regression and put the result in theta.
%

% ---------------------- Sample Solution ----------------------

theta = pinv(X'*X)*X'*y;

% -------------------------------------------------------------

% ============================================================

end

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