包邮人工智能数据素养

第1 章 人工智能下的大数据时代 ...................................................................................... 001 1.1 大数据时代和人工智能 ····································································.001 1.1.1 一切皆为数据 ······································································.001 1.1.2 数据高速增长时代 ································································.002 1.1.3 利用人工智能掘金大数据························································.003 1.2 人工智能三要素 ·············································································.004 1.2.1 数据——AI 之源 ···································································.005 1.2.2 算法——AI 之核 ···································································.006 1.2.3 算力——AI 之驱 ···································································.007 1.3 数据素养 ······················································································.007 1.3.1 何为数据素养 ······································································.007 1.3.2 数据素养为何重要 ································································.010 1.3.3 如何提升数据素养 ································································.011 1.4 本章小结 ······················································································.012 第2 章 Python 数据分析基础 ............................................................................................. 013 2.1 Python 基础 ··················································································.013 2.1.1 Python 简介 ·········································································.013 2.1.2 Python 数据类型 ···································································.017 2.1.3 常用的操作、函数和方法························································.021 2.1.4 列表、元组、字典 ································································.024 2.1.5 顺序结构 ············································································.027 2.1.6 分支结构 ············································································.027 2.1.7 循环结构 ············································································.030 2.2 Python 数据分析环境 ······································································.032 2.2.1 使用pip 安装数据分析相关库 ··················································.032 2.2.2 安装Anaconda ·····································································.033 2.3 Python 数据分析相关库 ···································································.033 2.3.1 NumPy 库 ··········································································.033 2.3.2 Matplotlib 库 ·······································································.034 2.3.3 SciPy 库·············································································.035 2.3.4 Pandas 库 ···········································································.036 2.3.5 xlrd 库 ···············································································.036 2.3.6 PyMySQL 库 ·······································································.037 2.3.7 其他数据分析相关库 ·····························································.037 2.4 本章小结 ·····················································································.038 第3 章 Jupyter 环境的使用 ................................................................................................. 039 3.1 Jupyter Notebook 概述 ·····································································.039 3.1.1 Jupyter Notebook 简介及优点 ···················································.039 3.1.2 Jupyter Notebook 开发环境的搭建 ·············································.039 3.1.3 使用pip 命令安装 ································································.044 3.2 认识Jupyter Notebook ·····································································.044 3.2.1 认识Files、Running、Clusters 页面 ··········································.044 3.2.2 认识Jupyter Notebook 的主页面 ···············································.046 3.3 新建、运行、保存Jupyter Notebook 文件 ·············································.048 3.3.1 新建一个Jupyter Notebook ······················································.0