Andrew Ng 机器学习 笔记coursera ml notes.pdf

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1、COURSERA机器学习课笔记byProf.AndrewNgNotesbyRyanCheungRyanzjlib@gmail.comWeibo@小小人_V目录目录.............................................................................................................................................................1Week1机器学习介绍..........................

2、...................................................................................................71机器学习介绍.....................................................................................................................................71.1什么是机器学习?........................

3、....................................................................................................71.2监督学习（SupervisedLearning）................................................................................................71.3非监督学习（UnsupervisedLearning）.....................

4、...................................................................9Week1单变量线性回归......................................................................................................................112单变量线性回归（LinearRegressionwithOneVariable）...................................

5、........................112.1模型表达（ModelRepresentation）............................................................................................112.2代价函数（CostFunction）.........................................................................................................12

6、2.3梯度下降（GradientDescent）....................................................................................................132.4对线性回归运用梯度下降法........................................................................................................13Week2多变量线性回归.................

7、.....................................................................................................153多变量线性回归（LinearRegressionwithMultipleVariables）..................................................153.1多维特征（MultipleFeatures）.................................................

8、.................................................153.2多变量梯度下降（Gradie