目录
第 1 周 ..............................................................................................................................................1
1、 引言(Introduction)....................................................................................................1
1.1 欢迎 ...........................................................................................................................1
1.2 机器学习是什么？ ...................................................................................................4
1.3 监督学习 ...................................................................................................................6
1.4 无监督学习 .............................................................................................................10
2、 单变量线性回归(Linear Regression with One Variable) ........................................15
2.1 模型表示 .................................................................................................................15
2.2 代价函数 .................................................................................................................17
2.3 代价函数的直观理解 I ...........................................................................................19
2.4 代价函数的直观理解 II ..........................................................................................20
2.5 梯度下降 .................................................................................................................21
2.6 梯度下降的直观理解 .............................................................................................24
2.7 梯度下降的线性回归 .............................................................................................27
2.8 接下来的内容 .........................................................................................................29
3、 线性代数回顾(Linear Algebra Review) ..................................................................30
3.1 矩阵和向量 .............................................................................................................30
3.2 加法和标量乘法 .....................................................................................................31
3.3 矩阵向量乘法 .........................................................................................................32
3.4 矩阵乘法 .................................................................................................................33
3.5 矩阵乘法的性质 .....................................................................................................34
3.6 逆、转置 .................................................................................................................35
第 2 周 ............................................................................................................................................36
4、 多变量线性回归(Linear Regression with Multiple Variables)................................36
4.1 多维特征 .................................................................................................................36
4.2 多变量梯度下降 .....................................................................................................37
4.3 梯度下降法实践 1-特征缩放 .................................................................................39
4.4 梯度下降法实践 2-学习率 .....................................................................................40
4.5 特征和多项式回归 .................................................................................................41
4.6 正规方程 .................................................................................................................42
4.7 正规方程及不可逆性（选修）..............................................................................44
5、 Octave 教程(Octave Tutorial).................................................................................47
5.1 基本操作 .................................................................................................................47
5.2 移动数据 .................................................................................................................54
5.3 计算数据 .................................................................................................................62
5.4 绘图数据 .................................................................................................................70
5.5 控制语句：for，while，if 语句 .............................................................................76
5.6 向量化 .....................................................................................................................82
5.7 工作和提交的编程练习..........................................................................................86
第 3 周 ............................................................................................................................................88
6、 逻辑回归(Logistic Regression)................................................................................88
6.1 分类问题 .................................................................................................................88
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