吴恩达机器学习编程解答自己做的，100%正确

吴恩达coursera机器学习上的全部编程解答（自己做的，100%正确），代码也有注释

function J = computeCost（X y theta）
%COMPUTECOST Compute cost for linear regression
%   J = COMPUTECOST（X y theta） computes the cost of using theta as the
%   parameter for linear regression to fit the data points in X and y

% Initialize some useful values
m = length（y）; % number of training examples

% You need to return the following variables correctly 
J = 0;

% ====================== YOUR CODE HERE ======================
% Instructions: Compute the cost of a particular choice of theta
%               You should set J to the cost.

h = X * theta;
J = （h - y）‘*（h - y）/（2 * m）;
% J = sum（（h - y）.^2）/（2 * m）;

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

end

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     目录           0  2018-10-16 14:19  machine-learning\
     文件        8196  2018-10-25 18:47  machine-learning\.DS_Store
     目录           0  2018-10-31 14:28  __MACOSX\
     目录           0  2018-10-31 14:28  __MACOSX\machine-learning\
     文件         120  2018-10-25 18:47  __MACOSX\machine-learning\._.DS_Store
     目录           0  2018-10-02 15:34  machine-learning\machine-learning-ex4\
     文件        6148  2018-10-05 14:17  machine-learning\machine-learning-ex4\.DS_Store
     目录           0  2018-10-31 14:28  __MACOSX\machine-learning\machine-learning-ex4\
     文件         120  2018-10-05 14:17  __MACOSX\machine-learning\machine-learning-ex4\._.DS_Store
     文件      356692  2017-03-13 18:40  machine-learning\machine-learning-ex4\ex4.pdf
     文件         268  2017-03-13 18:40  __MACOSX\machine-learning\machine-learning-ex4\._ex4.pdf
     目录           0  2018-10-19 10:00  machine-learning\machine-learning-ex4\ex4\
     文件        1502  2017-03-13 18:40  machine-learning\machine-learning-ex4\ex4\displayData.m
     目录           0  2018-10-31 14:28  __MACOSX\machine-learning\machine-learning-ex4\ex4\
     文件         212  2017-03-13 18:40  __MACOSX\machine-learning\machine-learning-ex4\ex4\._displayData.m
     文件        1067  2018-10-03 16:18  machine-learning\machine-learning-ex4\ex4\randInitializeWeights.m
     文件         268  2018-10-03 16:18  __MACOSX\machine-learning\machine-learning-ex4\ex4\._randInitializeWeights.m
     文件         137  2017-03-13 18:40  machine-learning\machine-learning-ex4\ex4\sigmoid.m
     文件         212  2017-03-13 18:40  __MACOSX\machine-learning\machine-learning-ex4\ex4\._sigmoid.m
     文件     7511764  2017-03-13 18:40  machine-learning\machine-learning-ex4\ex4\ex4data1.mat
     文件         212  2017-03-13 18:40  __MACOSX\machine-learning\machine-learning-ex4\ex4\._ex4data1.mat
     文件         263  2018-10-03 19:49  machine-learning\machine-learning-ex4\ex4\token.mat
     文件         700  2018-10-03 16:02  machine-learning\machine-learning-ex4\ex4\sigmoidGradient.m
     文件         212  2018-10-03 16:02  __MACOSX\machine-learning\machine-learning-ex4\ex4\._sigmoidGradient.m
     文件         841  2017-03-13 18:40  machine-learning\machine-learning-ex4\ex4\debugInitializeWeights.m
     文件         268  2017-03-13 18:40  __MACOSX\machine-learning\machine-learning-ex4\ex4\._debugInitializeWeights.m
     文件        5001  2018-10-19 10:00  machine-learning\machine-learning-ex4\ex4\nnCostFunction.m
     文件         384  2018-10-19 10:00  __MACOSX\machine-learning\machine-learning-ex4\ex4\._nnCostFunction.m
     文件        1095  2017-03-13 18:40  machine-learning\machine-learning-ex4\ex4\computeNumericalGradient.m
     文件         268  2017-03-13 18:40  __MACOSX\machine-learning\machine-learning-ex4\ex4\._computeNumericalGradient.m
     文件        8749  2017-03-13 18:40  machine-learning\machine-learning-ex4\ex4\fmincg.m
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