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包郵 人工智能數(shù)據(jù)素養(yǎng)
作者：孫越
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276
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人工智能數(shù)據(jù)素養(yǎng) 版權(quán)信息
- ISBN：9787121444234
- 條形碼：9787121444234 ; 978-7-121-44423-4
- 裝幀：一般膠版紙
- 冊(cè)數(shù)：暫無(wú)
- 重量：暫無(wú)
- 所屬分類(lèi)：>
人工智能數(shù)據(jù)素養(yǎng) 本書(shū)特色
本書(shū)以人工智能下的大數(shù)據(jù)時(shí)代為背景，從數(shù)據(jù)素養(yǎng)、數(shù)據(jù)分析基礎(chǔ)、統(tǒng)計(jì)分析、機(jī)器學(xué)習(xí)多個(gè)維度全面系統(tǒng)地介紹了如何探索數(shù)據(jù)、整理數(shù)據(jù)并分析數(shù)據(jù)。
人工智能數(shù)據(jù)素養(yǎng) 內(nèi)容簡(jiǎn)介
數(shù)據(jù)作為一種新型生產(chǎn)要素，在未來(lái)的社會(huì)發(fā)展過(guò)程中將扮演越來(lái)越重要的角色，提升數(shù)據(jù)素養(yǎng)將有助于促進(jìn)中國(guó)人工智能后備人才的高質(zhì)量發(fā)展。本書(shū)以人工智能下的大數(shù)據(jù)時(shí)代為背景，從數(shù)據(jù)素養(yǎng)、數(shù)據(jù)分析基礎(chǔ)、統(tǒng)計(jì)分析、機(jī)器學(xué)習(xí)多個(gè)維度全面系統(tǒng)地介紹了如何探索數(shù)據(jù)、整理數(shù)據(jù)并分析數(shù)據(jù)。本書(shū)沒(méi)有給出晦澀難懂的數(shù)學(xué)公式，也不涉及復(fù)雜煩瑣的程序代碼，而是在闡述基本原理的基礎(chǔ)上，輔以簡(jiǎn)潔的Python 程序，讓讀者能夠快速入門(mén)，提升個(gè)人的數(shù)據(jù)綜合素養(yǎng)。
人工智能數(shù)據(jù)素養(yǎng) 目錄
第1 章 人工智能下的大數(shù)據(jù)時(shí)代 ...................................................................................... 001
1.1 大數(shù)據(jù)時(shí)代和人工智能 ····································································.001
1.1.1 一切皆為數(shù)據(jù) ······································································.001
1.1.2 數(shù)據(jù)高速增長(zhǎng)時(shí)代 ································································.002
1.1.3 利用人工智能掘金大數(shù)據(jù)························································.003
1.2 人工智能三要素 ·············································································.004
1.2.1 數(shù)據(jù)——AI 之源 ···································································.005
1.2.2 算法——AI 之核 ···································································.006
1.2.3 算力——AI 之驅(qū) ···································································.007
1.3 數(shù)據(jù)素養(yǎng) ······················································································.007
1.3.1 何為數(shù)據(jù)素養(yǎng) ······································································.007
1.3.2 數(shù)據(jù)素養(yǎng)為何重要 ································································.010
1.3.3 如何提升數(shù)據(jù)素養(yǎng) ································································.011
1.4 本章小結(jié) ······················································································.012
第2 章 Python 數(shù)據(jù)分析基礎(chǔ) ............................................................................................. 013
2.1 Python 基礎(chǔ) ··················································································.013
2.1.1 Python 簡(jiǎn)介 ·········································································.013
2.1.2 Python 數(shù)據(jù)類(lèi)型 ···································································.017
2.1.3 常用的操作、函數(shù)和方法························································.021
2.1.4 列表、元組、字典 ································································.024
2.1.5 順序結(jié)構(gòu) ············································································.027
2.1.6 分支結(jié)構(gòu) ············································································.027
2.1.7 循環(huán)結(jié)構(gòu) ············································································.030
2.2 Python 數(shù)據(jù)分析環(huán)境 ······································································.032
2.2.1 使用pip 安裝數(shù)據(jù)分析相關(guān)庫(kù) ··················································.032
2.2.2 安裝Anaconda ·····································································.033
2.3 Python 數(shù)據(jù)分析相關(guān)庫(kù) ···································································.033
2.3.1 NumPy 庫(kù) ··········································································.033
2.3.2 Matplotlib 庫(kù) ·······································································.034
2.3.3 SciPy 庫(kù)·············································································.035
2.3.4 Pandas 庫(kù) ···········································································.036
2.3.5 xlrd 庫(kù) ···············································································.036
2.3.6 PyMySQL 庫(kù) ·······································································.037
2.3.7 其他數(shù)據(jù)分析相關(guān)庫(kù) ·····························································.037
2.4 本章小結(jié) ·····················································································.038
第3 章 Jupyter 環(huán)境的使用 ................................................................................................. 039
3.1 Jupyter Notebook 概述 ·····································································.039
3.1.1 Jupyter Notebook 簡(jiǎn)介及優(yōu)點(diǎn) ···················································.039
3.1.2 Jupyter Notebook 開(kāi)發(fā)環(huán)境的搭建 ·············································.039
3.1.3 使用pip 命令安裝 ································································.044
3.2 認(rèn)識(shí)Jupyter Notebook ·····································································.044
3.2.1 認(rèn)識(shí)Files、Running、Clusters 頁(yè)面 ··········································.044
3.2.2 認(rèn)識(shí)Jupyter Notebook 的主頁(yè)面 ···············································.046
3.3 新建、運(yùn)行、保存Jupyter Notebook 文件 ·············································.048
3.3.1 新建一個(gè)Jupyter Notebook ······················································.0
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人工智能數(shù)據(jù)素養(yǎng) 作者簡(jiǎn)介
孫越，上海外國(guó)語(yǔ)大學(xué)附屬龍崗學(xué)校校長(zhǎng)，長(zhǎng)期從事教育信息化工作和智慧校園建設(shè)。目前擔(dān)任中國(guó)發(fā)明協(xié)會(huì)中小學(xué)創(chuàng)造教育分會(huì)常務(wù)理事，深圳教育學(xué)會(huì)教育信息化和人工智能專(zhuān)委會(huì)副理事長(zhǎng)，香港中文大學(xué)(深圳)特聘導(dǎo)師。同時(shí)獲評(píng)上海市“普教系統(tǒng)名校長(zhǎng)名師培養(yǎng)工程——攻關(guān)計(jì)劃”人才、上海市教育科研專(zhuān)家?guī)鞂?zhuān)家、深圳市龍崗區(qū)卓越校長(zhǎng)、深圳市龍崗區(qū)“名師工作室”主持人等。 龔超，日本工學(xué)博士，清華大學(xué)日本研究中心主任助理，深圳清華大學(xué)研究院下一代互聯(lián)網(wǎng)研發(fā)中心核心成員，未來(lái)基因(北京)人工智能研究院首席專(zhuān)家，教育部教育信息化教學(xué)應(yīng)用實(shí)踐共同體項(xiàng)目特聘專(zhuān)家。中國(guó)高科技產(chǎn)業(yè)化研究會(huì)理事，中國(guó)人工智能學(xué)會(huì)中小學(xué)工作委員會(huì)委員，中國(guó)自動(dòng)化學(xué)會(huì)普及工作委員會(huì)委員。研究方向?yàn)槿斯ぶ悄軆?yōu)化算法，人工智能在數(shù)字化轉(zhuǎn)型中的應(yīng)用等。多家500強(qiáng)企業(yè)數(shù)字化轉(zhuǎn)型領(lǐng)域高級(jí)顧問(wèn)，在國(guó)內(nèi)外期刊上發(fā)表文章共計(jì)60余篇。 袁中果，中國(guó)人民大學(xué)附屬中學(xué)信息技術(shù)教研組組長(zhǎng)，中國(guó)人工智能學(xué)會(huì)中小學(xué)工作委員會(huì)秘書(shū)長(zhǎng)，中國(guó)自動(dòng)化學(xué)會(huì)普及工作委員會(huì)副主任委員，北京市特級(jí)教師，中國(guó)人民大學(xué)博士，海淀區(qū)名師工作站導(dǎo)師，海淀區(qū)優(yōu)秀種子教師工作站實(shí)踐導(dǎo)師，海淀區(qū)督學(xué)。
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