Machine Learning With R Cookbook - 110 Recipes for Building Powerful Predictive Models with R (Paperback)

Yu-Wei, Chiu (David Chiu)

  • 出版商: Packt Publishing
  • 出版日期: 2015-04-03
  • 售價: $1,870
  • 貴賓價: 9.5$1,777
  • 語言: 英文
  • 頁數: 405
  • 裝訂: Paperback
  • ISBN: 1783982047
  • ISBN-13: 9781783982042
  • 相關分類: R 語言Machine Learning
  • 海外代購書籍(需單獨結帳)

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商品描述

Explore over 110 recipes to analyze data and build predictive models with the simple and easy-to-use R code

About This Book

  • Apply R to simplify predictive modeling with short and simple code
  • Use machine learning to solve problems ranging from small to big data
  • Build a training and testing dataset from the churn dataset,applying different classification methods.

Who This Book Is For

If you want to learn how to use R for machine learning and gain insights from your data, then this book is ideal for you. Regardless of your level of experience, this book covers the basics of applying R to machine learning through to advanced techniques. While it is helpful if you are familiar with basic programming or machine learning concepts, you do not require prior experience to benefit from this book.

In Detail

The R language is a powerful open source functional programming language. At its core, R is a statistical programming language that provides impressive tools to analyze data and create high-level graphics.

This book covers the basics of R by setting up a user-friendly programming environment and performing data ETL in R. Data exploration examples are provided that demonstrate how powerful data visualization and machine learning is in discovering hidden relationships. You will then dive into important machine learning topics, including data classification, regression, clustering, association rule mining, and dimension reduction.

商品描述(中文翻譯)

探索超過110個食譜,使用簡單易用的R程式碼分析數據並建立預測模型。

關於本書:
- 使用簡短而簡單的程式碼,應用R來簡化預測建模。
- 使用機器學習解決從小數據到大數據的各種問題。
- 從流失數據集中建立訓練和測試數據集,應用不同的分類方法。

本書適合對於使用R進行機器學習並從數據中獲取洞察的讀者。無論您的經驗水平如何,本書都涵蓋了從基礎的R應用到高級技巧的內容。雖然如果您熟悉基本的編程或機器學習概念會有所幫助,但您不需要有先前的經驗即可從本書中受益。

詳細內容:
R語言是一種功能強大的開源統計編程語言。在其核心,R是一種統計編程語言,提供了令人印象深刻的工具來分析數據並創建高級圖形。

本書通過建立一個用戶友好的編程環境並在R中執行數據ETL來介紹R的基礎知識。提供了數據探索示例,展示了數據可視化和機器學習在發現隱藏關係方面的強大能力。然後,您將深入探討重要的機器學習主題,包括數據分類、回歸、聚類、關聯規則挖掘和維度降低。