Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners
暫譯: 大數據、資料探勘與機器學習:為商業領導者與實務者創造價值
Jared Dean
- 出版商: Wiley
- 出版日期: 2014-05-27
- 售價: $2,250
- 貴賓價: 9.5 折 $2,138
- 語言: 英文
- 頁數: 265
- 裝訂: Hardcover
- ISBN: 1118618041
- ISBN-13: 9781118618042
-
相關分類:
Data-mining、Machine Learning、大數據 Big-data
-
相關翻譯:
大數據挖掘與機器學習-工業4.0時代重塑商業價值 (簡中版)
立即出貨 (庫存 < 3)
買這商品的人也買了...
-
跟 Adobe 徹底研究 Photoshop CS6 (Adobe Photoshop CS6 Classroom in a Book)$650$553 -
Arduino UNO R3 開發板(副廠相容版)附傳輸線$400$380 -
王者歸來-PHP 完全開發範例集, 2/e$860$731 -
Data Science for Business: What you need to know about data mining and data-analytic thinking (Paperback)$1,980$1,881 -
無瑕的程式碼-敏捷軟體開發技巧守則 + 番外篇-專業程式設計師的生存之道 (雙書合購)$940$700 -
Data Clustering: Algorithms and Applications (Hardcover)$3,650$3,468 -
Android APP 範例完全學習手冊, 2/e$580$493 -
超圖解 Arduino 互動設計入門, 2/e$680$578 -
經濟學 (Gregory Mankiw: Principles of Economics, 7/e)$750$735 -
Design With Operational Amplifiers And Analog Integrated Circuits, 4/e (IE-Paperback)$1,100$1,078 -
Responsive Web Design 自動調適型網頁程式設計-讓網頁在電腦 / 平板 / 手機完美展現$360$306 -
改變世界的九大演算法 : 讓今日電腦無所不能的最強概念 (Nine Algorithms That Changed the Future: The Ingenious Ideas That Drive Today’s Computers)$360$284 -
ASP.NET MVC 5 網站開發美學$780$616 -
物件導向設計模式-可再利用物件導向軟體之要素 (精裝典藏版) (Design Patterns: Elements of Reusable Object-Oriented Software)$550$550 -
打下好基礎-程式設計與演算法競賽入門經典$500$395 -
iOS 8 程式設計實戰--205 個快速上手的開發技巧$500$395 -
AngularJS 建置與執行 (AngularJS: Up and Running: Enhanced Productivity with Structured Web Apps)$520$411 -
Docker 入門與實戰$450$356 -
精通 Python|運用簡單的套件進行現代運算 (Introducing Python: Modern Computing in Simple Packages)$780$616 -
完整學會 Git, GitHub, Git Server 的24堂課$360$284 -
iOS 9 App 程式設計實力超進化實戰攻略:知名iOS教學部落格AppCoda作家親授實作關鍵技巧讓你不NG (Beginning iOS 9 Programming with Swift)$690$538 -
Raspberry Pi 最佳入門與實戰應用, 2/e (適用 Raspberry Pi 2/Raspberry Pi 第一代)$450$356 -
CSS Secrets 中文版|解決網頁設計問題的有效秘訣 (CSS Secrets: Better Solutions to Everyday Web Design Problems)$680$537 -
設計模式與遊戲開發的完美結合$690$538 -
ASP.NET 專題實務 II--範例應用與進階功能$820$648
相關主題
商品描述
Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource for technology and marketing executives looking to cut through the hype and produce real results that hit the bottom line. Providing an engaging, thorough overview of the current state of big data analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how big data analytics can be leveraged to foster positive change and drive efficiency.
With continued exponential growth in data and ever more competitive markets, businesses must adapt quickly to gain every competitive advantage available. Big data analytics can serve as the linchpin for initiatives that drive business, but only if the underlying technology and analysis is fully understood and appreciated by engaged stakeholders. This book provides a view into the topic that executives, managers, and practitioners require, and includes:
- A complete overview of big data and its notable characteristics
- Details on high performance computing architectures for analytics, massively parallel processing (MPP), and in-memory databases
- Comprehensive coverage of data mining, text analytics, and machine learning algorithms
- A discussion of explanatory and predictive modeling, and how they can be applied to decision-making processes
Big Data, Data Mining, and Machine Learning provides technology and marketing executives with the complete resource that has been notably absent from the veritable libraries of published books on the topic. Take control of your organization's big data analytics to produce real results with a resource that is comprehensive in scope and light on hyperbole.
商品描述(中文翻譯)
大數據分析帶來了對盈利能力的深刻洞察
大數據是大生意。然而,擁有數據和處理它的計算能力並不足以產生有意義的結果。大數據、資料探勘與機器學習:為商業領導者和實務者創造價值 是一本完整的資源,專為希望突破炒作並產生實際結果的技術和行銷高管而設。該書提供了當前大數據分析狀態和高效能計算架構日益增長的趨勢的引人入勝且全面的概述,深入探討了如何利用大數據分析促進積極變革並提高效率。
隨著數據的持續指數增長和市場競爭的加劇,企業必須迅速適應,以獲得每一個可用的競爭優勢。大數據分析可以作為推動業務的關鍵,但前提是相關技術和分析必須被參與的利益相關者充分理解和重視。本書提供了高管、經理和實務者所需的主題視角,包括:
- 大數據及其顯著特徵的完整概述
- 針對分析的高效能計算架構、巨量並行處理(MPP)和內存數據庫的詳細資訊
- 對資料探勘、文本分析和機器學習演算法的全面覆蓋
- 對解釋性和預測性建模的討論,以及它們如何應用於決策過程
大數據、資料探勘與機器學習 為技術和行銷高管提供了在該主題上顯著缺失的完整資源。掌控您組織的大數據分析,以產生實際結果,這本資源範圍廣泛且不誇大其詞。
