Practical Data Science with R, 2/e (Paperback)

Nina Zumel , John Mount

Practical Data Science with R, 2/e (Paperback)

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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)

這本對於任何資料科學家來說都是無價之寶的書籍，向你展示如何應用R程式語言和有用的統計技巧在日常商業情境中，以及如何有效地向各個層次的觀眾呈現結果。為了滿足對機器學習和分析的不斷增長需求，這本新版增加了更多的R工具、建模技術等內容。

《實用的R資料科學，第二版》採用了以實踐為導向的方法，解釋了資料科學這個不斷擴大的領域中的基本原理。你將直接跳入真實世界的使用案例，應用R程式語言和統計分析技術，這些案例都是基於市場營銷、商業智能和決策支持的。

購買印刷版書籍還包括一本免費的電子書，格式為PDF、Kindle和ePub，來自Manning Publications。

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是Win-Vector的聯合創始人之一，該公司是一家位於舊金山的數據科學咨詢公司。她擁有卡內基梅隆大學的機器人學博士學位，曾是EMC數據科學和大數據分析培訓課程的內容開發人員。Nina還為Win-Vector Blog做出貢獻，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是Win-Vector的聯合創始人之一，該公司是一家位於舊金山的數據科學咨詢公司。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 Blog做出貢獻，該博客涵蓋統計學、概率論、計算機科學、數學和優化等主題。

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