人工智能数据素养
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￥ 56.32 6.3折 ￥ 89 全新
库存60件
广东广州
认证卖家担保交易快速发货售后保障
作者孙越
出版社电子工业出版社
ISBN9787121444234
出版时间2022-11
装帧平装
开本其他
定价89元
货号12001566
上书时间2024-06-27
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作者简介
"孙越，上海外国语大学附属龙岗学校校长，长期从事教育信息化工作和智慧校园建设。目前担任中国发明协会中小学创造教育分会常务理事，深圳教育学会教育信息化和人工智能专委会副理事长，香港中文大学（深圳）特聘导师。同时获评上海市“普教系统名校长名师培养工程——攻关计划”人才、上海市教育科研专家库专家、深圳市龙岗区很好校长、深圳市龙岗区“名师工作室”主持人等。 龚超，日本工学博士，清华大学日本研究中心主任助理，深圳清华大学研究院下一代互联网研发中心核心成员，未来基因（北京）人工智能研究院首席专家，教育部教育信息化教学应用实践共同体项目特聘专家。中国高科技产业化研究会理事，中国人工智能学会中小学工作委员会委员，中国自动化学会普及工作委员会委员。研究方向为人工智能优化算法，人工智能在数字化转型中的应用等。多家500强企业数字化转型领域高级顾问，在国内外期刊上发表文章共计60余篇。 袁中果，中国人民大学附属中学信息技术教研组组长，中国人工智能学会中小学工作委员会秘书长，中国自动化学会普及工作委员会副主任委员，北京市特级教师，中国人民大学博士，海淀区名师工作站导师，海淀区优秀种子教师工作站实践导师，海淀区督学。"
目录
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 ······················································.048 3.3.2 运行代码 ···········································································.049 3.3.3 重命名Jupyter Notebook 文件 ··················································.049 3.3.4 保存Jupyter Notebook 文件 ·····················································.050 3.4 处理不同类型的数据 ······································································.050 3.4.1 处理txt 文件 ·······································································.050 3.4.2 处理CSV 文件 ····································································.052 3.4.3 处理Excel 文件 ···································································.053 3.4.4 处理sql 文件 ······································································.053 3.5 在Markdown 中使用LaTeX 输入数学公式 ············································.054 3.5.1 使用LaTeX 输入一个数学公式 ·················································.054 3.5.2 LaTeX 的2 种公式格式 ··························································.055 3.5.3 常用数学公式的写法 ·····························································.056 3.6 Jupyter Notebook 应用实例解析 ··························································.058 3.6.1 实例1：能力六维雷达图的绘制 ···············································.058 3.6.2 实例2：词频统计 ·································································.059 3.7 本章小结 ······················································································.060 第4 章 探索数据 .................................................................................................................. 062 4.1 走进数据的世界 ·············································································.062 4.1.1 定义数据 ············································································.062 4.1.2 数据的分类 ·········································································.063 4.1.3 深挖数据的4 种能力 ·····························································.065 4.1.4 善用指标分析问题 ································································.067 4.2 数据的评估 ···················································································.069 4.2.1 指标真的可靠吗 ···································································.069 4.2.2 统计数据会“说谎” ·····························································.071 4.3 数据怎么用 ···················································································.072 4.3.1 数据清洗 ············································································.072 4.3.2 数据的标准化 ······································································.076 4.4 本章小结 ······················································································.078 第5 章 描述统计 .................................................................................................................. 079 5.1 数据集中趋势 ················································································.079 5.1.1 均值的定义与应用 ································································.079 5.1.2 中位数的定义与应用 ·····························································.081 5.1.3 众数的定义与应用 ································································.083 5.1.4 案例分析 ············································································.085 5.2 数据离散程度 ················································································.087 5.2.1 极差的定义与应用 ································································.088 5.2.2 方差的定义与应用 ································································.090 5.3 本章小结 ·····················································································.091 第6 章 推断统计 ................................................................................................................... 092 6.1 基础知识要点 ···············································································.092 6.1.1 排列与组合 ········································································.092 6.1.2 随机事件及其概率 ································································.095 6.2 概率分布及其特征 ·········································································.095 6.2.1 二项分布 ···········································································.096 6.2.2 正态分布 ···········································································.098 6.3 统计量 ························································································.104 6.3.1 总体与样本 ········································································.105 6.3.2 参数估计 ···········································································.109 6.3.3 假设检验 ···········································································.112 6.4 本章小结 ·····················································································.116 第7 章 数据可视化 ............................................................................................................... 117 7.1 什么是数据可视化 ·········································································.117 7.1.1 数据可视化的定义和意义 ·······················································.117 7.1.2 数据可视化的发展历史 ··························································.118 7.2 图形对象与元素 ············································································.119 7.2.1 如何建立坐标系···································································.121 7.2.2 如何设置坐标轴的文本和图例 ·················································.122 7.3 可视化色彩的运用原理 ·····························································
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