目 录__eol__CONTENT__eol____eol__ ▲__eol__ 第1章　人工智能及机器学习概述...................................1__eol__1.1 人工智能概述 ............................................................................1__eol__1.1.1.人工智能简史...............................................................2__eol__1.1.2.人工智能是什么...........................................................4__eol__1.1.3.人工智能的能力...........................................................5__eol__1.2 机器学习概述 ............................................................................5__eol__1.2.1.机器学习是什么...........................................................5__eol__1.2.2.以监督学习为例...........................................................6__eol__1.2.3.学习任务......................................................................7__eol__1.2.4.机器学习要解决的基本问题.......................................7__eol__1.2.5.机器学习如何优化模型...............................................7__eol__1.2.6.机器学习工作流程.......................................................7__eol__1.2.7.机器学习的各大流派...................................................8__eol__1.2.8.机器学习算法选择.......................................................8__eol__1.2.9.需要的知识...................................................................9__eol__1.3 深度学习概述 ............................................................................9__eol__1.4 机器学习与统计学 ....................................................................9__eol__1.5 课后练习 ..................................................................................10__eol__▲__eol__ 第2章　机器学习基础知识...........................................11__eol__2.1 数学基础 ..................................................................................11__eol__2.1.1.数据的分类.................................................................12__eol__2.1.2.基本统计学术语.........................................................12__eol__2.1.3.回归............................................................................14__eol__2.1.4.最小二乘法.................................................................14__eol__2.1.5.判断拟合好坏.............................................................15__eol__2.1.6.小结............................................................................17__eol__2.2 读图 ..........................................................................................17__eol__2.2.1.数值数据的分布.........................................................17__eol__2.2.2.分类数据的分布.........................................................18__eol__2.3 KNIME .....................................................................................21__eol__2.3.1.KNIME简介..............................................................21__eol__2.3.2.下载和安装.................................................................21__eol__2.3.3.KNIME基本使用.......................................................21__eol__2.3.4.小结............................................................................28__eol__2.4 课后练习 ..................................................................................28__eol__▲__eol__ 第3章　线性回归.........................................................29__eol__3.1 简单线性回归 ..........................................................................30__eol__3.1.1.场景说明....................................................................30__eol__3.1.2.KNIME建立工作流...................................................30__eol__3.1.3.数据获取....................................................................30__eol__3.1.4.观察数据....................................................................31__eol__3.1.5.数据划分....................................................................33__eol__3.1.6.模型训练....................................................................34__eol__3.1.7.模型测试....................................................................37__eol__3.1.8.损失函数....................................................................37__eol__3.2 多元线性回归初步 ..................................................................38__eol__3.2.1.任务及数据说明.......................