Description: Machine learning courses coursera exercises on the source code, which is a practice to achieve a gradient descent algorithm for learner reference
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machine-learning-ex1\ex1\computeCost.m
....................\...\computeCostMulti.m
....................\...\ex1.m
....................\...\ex1data1.txt
....................\...\ex1data2.txt
....................\...\ex1_multi.m
....................\...\featureNormalize.m
....................\...\gradientDescent.m
....................\...\gradientDescentMulti.m
....................\...\lib\jsonlab\AUTHORS.txt
....................\...\...\.......\ChangeLog.txt
....................\...\...\.......\jsonopt.m
....................\...\...\.......\LICENSE_BSD.txt
....................\...\...\.......\loadjson.m
....................\...\...\.......\loadubjson.m
....................\...\...\.......\mergestruct.m
....................\...\...\.......\README.txt
....................\...\...\.......\savejson.m
....................\...\...\.......\saveubjson.m
....................\...\...\.......\varargin2struct.m
....................\...\...\makeValidFieldName.m
....................\...\...\submitWithConfiguration.m
....................\...\normalEqn.m
....................\...\plotData.m
....................\...\submit.m
....................\...\token.mat
....................\...\warmUpExercise.m
....................\ex1.pdf
....................\...\lib\jsonlab
....................\...\lib
....................\ex1
machine-learning-ex1
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