Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science)
暫譯: 現代數據科學與 R (Chapman & Hall/CRC 統計科學系列)
Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton
- 出版商: Chapman
- 出版日期: 2017-02-02
- 售價: $4,070
- 貴賓價: 9.5 折 $3,867
- 語言: 英文
- 頁數: 582
- 裝訂: Hardcover
- ISBN: 1498724485
- ISBN-13: 9781498724487
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相關分類:
R 語言、Data Science
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其他版本:
Modern Data Science with R, 2/e
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相關主題
商品描述
Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling statistical questions.
Contemporary data science requires a tight integration of knowledge from statistics, computer science, mathematics, and a domain of application. This book will help readers with some background in statistics and modest prior experience with coding develop and practice the appropriate skills to tackle complex data science projects. The book features a number of exercises and has a flexible organization conducive to teaching a variety of semester courses.
商品描述(中文翻譯)
《現代數據科學與 R》是一本針對大學生的綜合性數據科學教科書,結合統計與計算思維,以解決現實世界中的數據問題。這本書不僅僅專注於案例研究或程式語法,而是展示如何在最先進的 R/RStudio 計算環境中利用統計編程,從各種數據中提取有意義的信息,以解決引人注目的統計問題。
當代數據科學需要統計學、計算機科學、數學以及應用領域知識的緊密整合。本書將幫助具有一定統計背景和適度編程經驗的讀者發展和實踐適當的技能,以應對複雜的數據科學項目。書中包含多個練習,並具有靈活的組織結構,適合教授各種學期課程。