- 电子工业出版社
- 9787121496806
- 1-2
- 568538
- 平塑
- 16开
- 2025-09
- 374
- 208
- 工学
- 计算机类
- 计算机科学与技术
- 本科 研究生及以上
内容简介
本书是面向高等院校计算机相关专业的机器学习教材。全书以机器学习应用程序的开发流程为主线，详细介绍数据预处理和多种算法模型的概念与原理；以Python 和Spark 为落地工具，使读者在实践中掌握项目代码编写、调试和分析的技能。本书最后两章是两个实战项目，举例讲解机器学习的工程应用。 本书内容丰富、结构清晰、语言流畅、案例充实，还配备了丰富的教学资源，包括源代码、教案、电子课件和习题答案，读者可以在华信教育资源网下载。
目录
第 1 章 机器学习技术简介 ···············································································1
1.1 机器学习简介 ·······················································································1
1.1.1 机器学习的概念············································································1
1.1.2 机器学习的算法模型······································································1
1.1.3 机器学习应用程序开发步骤·····························································2
1.2 机器学习的实现工具 ··············································································3
1.3 Python 平台搭建 ····················································································3
1.3.1 集成开发环境 Anaconda ··································································4
1.3.2 集成开发环境 PyCharm···································································7
1.3.3 搭建虚拟环境············································································· 10
1.3.4 配置虚拟环境············································································· 13
1.4 Spark 平台搭建···················································································· 17
1.4.1 Spark 的部署方式········································································ 17
1.4.2 安装 JDK··················································································· 18
1.4.3 安装 Scala·················································································· 21
1.4.4 安装开发工具 IDEA ····································································· 22
1.4.5 安装 Spark ················································································· 24
1.4.6 安装 Maven················································································ 25
1.5 基于 Python 创建项目 ··········································································· 27
1.6 基于 Spark 创建项目············································································· 29
习题 1 ······································································································ 32
第 2 章 数据预处理 ······················································································ 34
2.1 数据预处理的概念 ··············································································· 34
2.1.1 数据清洗··················································································· 34
2.1.2 数据转换··················································································· 35
2.2 基于 Python 的数据预处理 ····································································· 37
2.3 基于 Spark 的数据预处理······································································· 43
习题 2································································································ 46
第 3 章 分类模型 ························································································· 48
3.1 分类模型的概念 ·················································································· 48
3.2 分类模型的算法原理 ············································································ 51
3.2.1 决策树算法················································································ 51
3.2.2 最近邻算法················································································ 56
3.2.3 朴素贝叶斯算法·········································································· 58
3.2.4 逻辑回归算法············································································· 59
3.2.5 支持向量机算法·········································································· 59
3.3 基于 Python 的分类建模实例 ·································································· 60
3.4 基于 Spark 的分类建模实例···································································· 63
习题 3 ································································································
1.1 机器学习简介 ·······················································································1
1.1.1 机器学习的概念············································································1
1.1.2 机器学习的算法模型······································································1
1.1.3 机器学习应用程序开发步骤·····························································2
1.2 机器学习的实现工具 ··············································································3
1.3 Python 平台搭建 ····················································································3
1.3.1 集成开发环境 Anaconda ··································································4
1.3.2 集成开发环境 PyCharm···································································7
1.3.3 搭建虚拟环境············································································· 10
1.3.4 配置虚拟环境············································································· 13
1.4 Spark 平台搭建···················································································· 17
1.4.1 Spark 的部署方式········································································ 17
1.4.2 安装 JDK··················································································· 18
1.4.3 安装 Scala·················································································· 21
1.4.4 安装开发工具 IDEA ····································································· 22
1.4.5 安装 Spark ················································································· 24
1.4.6 安装 Maven················································································ 25
1.5 基于 Python 创建项目 ··········································································· 27
1.6 基于 Spark 创建项目············································································· 29
习题 1 ······································································································ 32
第 2 章 数据预处理 ······················································································ 34
2.1 数据预处理的概念 ··············································································· 34
2.1.1 数据清洗··················································································· 34
2.1.2 数据转换··················································································· 35
2.2 基于 Python 的数据预处理 ····································································· 37
2.3 基于 Spark 的数据预处理······································································· 43
习题 2································································································ 46
第 3 章 分类模型 ························································································· 48
3.1 分类模型的概念 ·················································································· 48
3.2 分类模型的算法原理 ············································································ 51
3.2.1 决策树算法················································································ 51
3.2.2 最近邻算法················································································ 56
3.2.3 朴素贝叶斯算法·········································································· 58
3.2.4 逻辑回归算法············································································· 59
3.2.5 支持向量机算法·········································································· 59
3.3 基于 Python 的分类建模实例 ·································································· 60
3.4 基于 Spark 的分类建模实例···································································· 63
习题 3 ································································································
