Modeling Techniques in Predictive Analytics: Business Problems and Solutions with R (Hardcover)

Thomas W. Miller

  • 出版商: Prentice Hall
  • 出版日期: 2013-09-08
  • 售價: $2,980
  • 貴賓價: 9.5$2,831
  • 語言: 英文
  • 頁數: 348
  • 裝訂: Hardcover
  • ISBN: 0133412938
  • ISBN-13: 9780133412932
  • 相關分類: R 語言Machine Learning
  • 海外代購書籍(需單獨結帳)

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contentToday, successful firms compete and win based on analytics. <B> <I>Modeling Techniques in </I> </B> <B> <I>Predictive Analytics </I> </B>brings together all the concepts, techniques, and R code you need to excel in any role involving analytics. Thomas W. Miller’s unique balanced approach combines business context <I>and</I> quantitative tools, appealing to managers, analysts, programmers, and students alike. Miller addresses multiple business challenges and business cases, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and even spatio-temporal data. For each problem, Miller explains why the problem matters, what data is relevant, how to explore your data once you’ve identified it, and then how to successfully model that data. You’ll learn how to model data conceptually, with words and figures; and then how to model it with realistic R programs that deliver actionable insights and knowledge. Miller walks you through model construction, explanatory variable subset selection, and validation, demonstrating best practices for improving out-of-sample predictive performance. He employs data visualization and statistical graphics in exploring data, presenting models, and evaluating performance. All example code is presented in R, today’s #1 system for applied statistics, statistical research, and predictive modeling; code is set apart from other text so it’s easy to find for those who want it (and easy to skip for those who don’t).sourceProduct Description

商品描述(中文翻譯)

今天,成功的公司基於分析進行競爭並獲勝。《預測分析中的建模技術》將您在任何涉及分析的角色中所需的所有概念、技術和 R 代碼整合在一起。Thomas W. Miller 獨特的平衡方法結合了商業背景和定量工具,吸引了經理、分析師、程式設計師和學生。Miller 解決了多個商業挑戰和案例,包括市場細分、品牌定位、產品選擇建模、定價研究、金融、體育、文本分析、情感分析和社交網絡分析。他闡明了橫斷面數據、時間序列、空間數據,甚至時空數據的使用。對於每個問題,Miller 解釋了為什麼這個問題重要、哪些數據是相關的、在識別數據後如何探索數據,然後如何成功地對該數據進行建模。您將學會如何從概念上建模數據,使用文字和圖形;然後如何使用現實的 R 程式來建模,提供可行的見解和知識。Miller 帶您了解模型構建、解釋變數子集選擇和驗證,展示改善樣本外預測性能的最佳實踐。他在探索數據、呈現模型和評估性能時使用數據可視化和統計圖形。所有示例代碼均以 R 語言呈現,這是當今應用統計、統計研究和預測建模的首選系統;代碼與其他文本區分開來,方便需要的人查找(也方便不需要的人跳過)。