Data Science, Analytics and Machine Learning with R
暫譯: 使用 R 進行資料科學、分析與機器學習

Favero, Luiz, Belfiore, Patrícia, de Freitas Souza, Rafael

Data Science, Analytics and Machine Learning with R
  • 出版商: Academic Press
  • 出版日期: 2023-01-25
  • 售價: $5,550
  • 貴賓價: 9.5 折 $5,273
  • 語言: 英文
  • 頁數: 660
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 012824271X
  • ISBN-13: 9780128242711
  • 相關分類: Machine Learning、Data Science

    • 海外代購書籍(需單獨結帳)

商品描述

Data Science, Analytics and Machine Learning with R explains the principles of data mining and machine learning techniques and accentuates the importance of applied and multivariate modeling. The book emphasizes the fundamentals of each technique, with step-by-step codes and real-world examples with data from areas such as medicine and health, biology, engineering, technology and related sciences. Examples use the most recent R language syntax, with recognized robust, widespread and current packages. Code scripts are exhaustively commented, making it clear to readers what happens in each command. For data collection, readers are instructed how to build their own robots from the very beginning.

In addition, an entire chapter focuses on the concept of spatial analysis, allowing readers to build their own maps through geo-referenced data (such as in epidemiologic research) and some basic statistical techniques. Other chapters cover ensemble and uplift modeling and GLMM (Generalized Linear Mixed Models) estimations, both linear and nonlinear.

商品描述(中文翻譯)

《數據科學、分析與機器學習使用 R》解釋了數據挖掘和機器學習技術的原則，並強調應用和多變量建模的重要性。本書著重於每種技術的基本原理，提供逐步的程式碼和來自醫學與健康、生物學、工程、技術及相關科學等領域的實際範例。範例使用最新的 R 語言語法，並搭配公認的穩健、廣泛和當前的套件。程式碼腳本有詳細的註解，讓讀者清楚每個指令的執行過程。關於數據收集，讀者將學習如何從頭開始建立自己的機器人。

此外，整個章節專注於空間分析的概念，讓讀者能夠通過地理參考數據（例如在流行病學研究中）和一些基本的統計技術來建立自己的地圖。其他章節則涵蓋了集成和提升建模以及 GLMM（廣義線性混合模型）估計，包括線性和非線性模型。

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