吴恩达机器学习大作业完成版!

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.
J = sum（（X*theta-y）.*（X*theta-y））/（2*m）;




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

end

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     文件    1554620  2018-09-02 11:44  machine-learning-exLecture10.pdf

     文件     509584  2018-09-02 11:45  machine-learning-exLecture11.pdf

     文件    2415325  2018-09-02 11:46  machine-learning-exLecture12.pdf

     文件    2280366  2018-09-02 11:46  machine-learning-exLecture13.pdf

     文件    1685108  2018-09-02 11:47  machine-learning-exLecture14.pdf

     文件    3488418  2018-09-02 11:47  machine-learning-exLecture15.pdf

     文件    1485594  2018-09-02 11:49  machine-learning-exLecture16.pdf

     文件    2075061  2018-09-02 11:49  machine-learning-exLecture17.pdf

     文件    2067134  2018-09-02 11:49  machine-learning-exLecture18.pdf

     文件        672  2018-08-05 17:30  machine-learning-exmachine-learning-ex1ex1computeCost.m

     文件        712  2018-08-06 10:07  machine-learning-exmachine-learning-ex1ex1computeCostMulti.m

     文件       4099  2018-08-05 15:04  machine-learning-exmachine-learning-ex1ex1ex1.m

     文件       1359  2017-03-14 09:40  machine-learning-exmachine-learning-ex1ex1ex1data1.txt

     文件        657  2017-03-14 09:40  machine-learning-exmachine-learning-ex1ex1ex1data2.txt

     文件       4534  2018-08-06 12:04  machine-learning-exmachine-learning-ex1ex1ex1_multi.m

     文件       1382  2018-08-05 22:35  machine-learning-exmachine-learning-ex1ex1featureNormalize.m

     文件       1157  2018-08-05 18:44  machine-learning-exmachine-learning-ex1ex1gradientDescent.m

     文件        986  2018-08-06 10:11  machine-learning-exmachine-learning-ex1ex1gradientDescentMulti.m

     文件       1624  2017-03-14 09:40  machine-learning-exmachine-learning-ex1ex1libjsonlabAUTHORS.txt

     文件       3862  2017-03-14 09:40  machine-learning-exmachine-learning-ex1ex1libjsonlabChangeLog.txt

     文件        881  2017-03-14 09:40  machine-learning-exmachine-learning-ex1ex1libjsonlabjsonopt.m

     文件       1551  2017-03-14 09:40  machine-learning-exmachine-learning-ex1ex1libjsonlabLICENSE_BSD.txt

     文件      18732  2017-03-14 09:40  machine-learning-exmachine-learning-ex1ex1libjsonlabloadjson.m

     文件      15574  2017-03-14 09:40  machine-learning-exmachine-learning-ex1ex1libjsonlabloadubjson.m

     文件        771  2017-03-14 09:40  machine-learning-exmachine-learning-ex1ex1libjsonlabmergestruct.m

     文件      19369  2017-03-14 09:40  machine-learning-exmachine-learning-ex1ex1libjsonlabREADME.txt

     文件      17462  2017-03-14 09:40  machine-learning-exmachine-learning-ex1ex1libjsonlabsavejson.m

     文件      16123  2017-03-14 09:40  machine-learning-exmachine-learning-ex1ex1libjsonlabsaveubjson.m

     文件       1094  2017-03-14 09:40  machine-learning-exmachine-learning-ex1ex1libjsonlabvarargin2struct.m

     文件       1195  2017-03-14 09:40  machine-learning-exmachine-learning-ex1ex1libmakeValidFieldName.m

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