Practical Data Science with R, 2/e (Paperback)
暫譯: 實用數據科學與 R，第二版（平裝本）
Nina Zumel , John Mount
- 出版商: Manning
- 出版日期: 2019-12-07
- 售價: $1,970
- 貴賓價: 9.5 折 $1,872
- 語言: 英文
- 頁數: 483
- 裝訂: Paperback
- ISBN: 1617295876
- ISBN-13: 9781617295874
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相關分類:
R 語言、Data Science
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相關翻譯:
R數據科學實戰, 2/e (Practical Data Science with R, 2/e) (簡中版)
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商品描述
This invaluable addition to any data scientist's library shows you how to apply the R programming language and useful statistical techniques to everyday business situations as well as how to effectively present results to audiences of all levels. To answer the ever-increasing demand for machine learning and analysis, this new edition boasts additional R tools, modeling techniques, and more.
Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever-expanding field of data science. You'll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
商品描述(中文翻譯)
這本對任何資料科學家來說都不可或缺的書籍，展示了如何將 R 程式語言和有用的統計技術應用於日常商業情境，以及如何有效地向各級觀眾呈現結果。為了滿足日益增長的機器學習和分析需求，這個新版本增添了更多的 R 工具、建模技術等。
《使用 R 的實用資料科學（第二版）》採取以實踐為導向的方法，解釋資料科學這一不斷擴展領域的基本原則。您將直接進入真實世界的案例，將 R 程式語言和統計分析技術應用於精心解釋的行銷、商業智慧和決策支持的範例中。
購買印刷版書籍可獲得 Manning Publications 提供的免費電子書，格式包括 PDF、Kindle 和 ePub。
作者簡介
Nina Zumel co-founded Win-Vector, a data science consulting firm in San Francisco. She holds a PH.D. in robotics from Carnegie Mellon and was a content developer for EMC's Data Science and Big Data Analytics Training Course. Nina also contributes to the Win-Vector Blog, which covers topics in statistics, probability, computer science, mathematics and optimization.
John Mount co-founded Win-Vector, a data science consulting firm in San Francisco. He has a Ph.D. in computer science from Carnegie Mellon and over 15 years of applied experience in biotech research, online advertising, price optimization and finance. He contributes to the Win-Vector Blog, which covers topics in statistics, probability, computer science, mathematics and optimization.
作者簡介(中文翻譯)
Nina Zumel共同創立了位於舊金山的數據科學諮詢公司 Win-Vector。她擁有卡內基梅隆大學的機器人學博士學位，並曾擔任 EMC 的數據科學與大數據分析培訓課程的內容開發者。Nina 也為 Win-Vector 博客撰寫文章，該博客涵蓋統計學、概率論、計算機科學、數學和優化等主題。
John Mount共同創立了位於舊金山的數據科學諮詢公司 Win-Vector。他擁有卡內基梅隆大學的計算機科學博士學位，並在生物技術研究、在線廣告、價格優化和金融領域擁有超過 15 年的應用經驗。他為 Win-Vector 博客撰寫文章，該博客涵蓋統計學、概率論、計算機科學、數學和優化等主題。
