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    5. 商業數據科學 — RapidMiner 數據科學平台與應用(一)
    商管人員的第一本書

    商業數據科學 — RapidMiner 數據科學平台與應用(一)

    Author 劉建宏、宋丹寧
    Publisher MrCliu07 /劉建宏
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    Released
    2022/01/31
    Language
    Traditional Chinese
    File format
    PDF (25MB), fit in large screen and Pubook EPUB Reflowable (6MB), fit in all devices and Pubook
    Pages
    396
    ID
    283524
    ISBN
    978-957-439-661-0
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    庫存
    • Intro

    • Chapters

    • Author

    【聯合推薦】
    廖本勝 永慶房產集團前CEO
    李雅惠 HOLA 特力和樂前總經理
    劉國良 Accenture 台灣前總經理
    郭世昌 中國信託產物保險 總經理
    林繼正 李錦記健康產品集團前總經理/數碼創新負責人
    梁維誠 綠界科技總經理
    陳建勳 法商Artefact 數據諮詢亞太區合夥人
    程 杰 博士 高科數聚 董事長
    陳思恩 博士 techvalley 總經理

    【本書特色】
    ◎ 本書特別適合零基礎、想快速入門「商業數據科學」領域的職場新鮮人或同學
    ◎ 適合無程式背景商管人員,想要轉型成為「商業數據科學家」
    ◎ 快速帶你從實務角度進入數據科學應用
    ◎ 淺顯易懂的原理說明,避免艱澀數學
    ◎ Step by Step 實機操作畫面說明
    ◎ 第一冊主要介紹機器學習演算法的應用:SVM、決策樹,隨機森林、集成學習(Bagging 袋裝法、AdaBoosting 提升法、Stacking 堆疊法)另外介紹關聯法則學習以及RFM客戶分群。
    ◎ 入門新手也可以享受強大演算法之利

    【RapidMiner 特色】
    ◎ RapidMiner 在整體數據科學分析工具領域名列前茅/數據科學圖形介面平台類第一名
    ◎ RapidMiner涵蓋跨領域演算法:統計、機器學習、深度學習以及作業研究等領域
    ◎ 圖形介面的RapidMiner大大降低數據科學門檻
    ◎ 適合企業內跨部門協作與溝通模型設計與結果
    ◎ 支援描述性、預測性及指示性模型能符合多樣商業需求
    ◎ 功能強大:可結合原有Python 語法在RapidMiner內使用

    【書評】
    作者在資料科學/資料分析的領域上,擁有多年實務經驗,本書清楚地說明各種常用演算法的觀念,再輔以應用案例讓讀者容易理解,對於想要了解大數據的讀者來說,是一本很棒的入門書!
    ── 梁維誠 綠界科技 總經理

    作者擁有多年產業紮實實戰經驗,擅於將理論與實務結合,從實際效益出發,化繁為簡,將數據分析在數據應用上產出最大價值。
    ── 林繼正 李錦記健康產品集團前總經理/數碼創新負責人

    「商業數據科學」是一本幫助數據分析師深造和數據科學家速成的優秀工具書。
    ── 程杰 博士 高科數聚 董事長

    本書介紹經典的商業數據分析演算法概念和應用案例,是為有志成為數據科學家和資深分析師的同學準備的、非常有用的工具書。 ── 陳建勳 法商Artefact 數據諮詢亞太合夥人
    More
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    【目錄】
    - 推薦序一:廖本勝(永慶房產集團前CEO)
    - 推薦序二:劉國良(Accenture埃森哲台灣前總經理)
    - 推薦序三:吳惠良(原美國Pepperdine大學上海國際校區副總監)
    - 第一章 商業分析介紹
    - 第二章 RapidMiner 介紹
    - 第三章 RFM
    - 第四章 關聯規則學習 Association Rules Learning
    - 第五章 支持向量機 SVM
    - 第六章 決策樹 Decision Tree
    - 第七章 隨機森林 Random Forest
    - 第八章 集成學習 AdaBoost
    - 第九章 集成學習 Bagging
    - 第十章 集成學習 Stacking
    - 第十一章 Split Validation & Cross Validation
    - 第十二章 K 均值演算法 K-means
    - 第十三章 K 最近鄰分類 kNN
    - 第十四章 樸素貝葉斯 Naive Bayes
    - 第十五章 線性回歸模型 Linear Regression
    - 第十六章 邏輯斯回歸分析 Logistic Regression
    - 第十七章 經典判別分析 Discriminant Analysis
    More
    劉建宏

    專業經理人、知識愛好者、現任英國大學商業分析碩士學位學程主任。在策略、商業數據分析與數字化等實務與研究領域有所涉略。經歷:曾在世界五大乳業伊利集團、中國IBM、埃森哲(Accenture)管理諮詢公司以及永慶房產集團等知名企業擔任高階管理職位。學歷:英國曼徹斯特大學AMBS商學院博士候選人、國立政治大學資管博士班、國立政治大學經營管理碩士、美國雪城大學企管碩士。

    宋丹寧

    資深行銷、洞察與數據分析專家,專注於零售與快消品等行業領域。經歷: 曾在中國知名天味食品集團、世界乳業五強伊利集團、世界前三大啤酒製造商嘉士伯集團 (Carlsberg) 、全球零售龍頭沃爾瑪集團 (Walmart)等知名企業擔任高階管理職位。學歷:目前就讀英國倫敦大學瑪麗皇后學院、紐西蘭奧克蘭大學管理科學碩士、紐西蘭奧克蘭大學管理科學學士

    Note:
    本書限於人力、時間,倉促付梓,遺漏與錯誤在所難免,敬希讀者給予批評與指正。來信請寄到claude_liu@hotmail.com。本書會不斷更新,歡迎讀者定期下載免費更新版本。
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    Details

    Released
    2022/01/31
    Language
    Traditional Chinese
    File format
    PDF: Fit in large screen/EPUB: Fit in all devices
    Provide Adobe DRM
    Provide EPUBProvide PDF
    Offer DRM free license
    No
    ID
    283524
    ISBN
    978-957-439-661-0

    "機器學習

    Big data

    RapidMiner

    商業數據科學

    商業分析

    數據科學

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    商业数据科学 — RapidMiner 数据科学平台与应用(一)

      

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