Mastering Data Analysis with R (Paperback)

Gergely Daroczi

  • 出版商: Packt Publishing
  • 出版日期: 2015-09-30
  • 定價: $1,760
  • 售價: 8.0$1,408
  • 語言: 英文
  • 頁數: 380
  • 裝訂: Paperback
  • ISBN: 1783982020
  • ISBN-13: 9781783982028
  • 相關分類: R 語言Data Science
  • 相關翻譯: R 語言數據分析 (簡中版)
  • 立即出貨 (庫存 < 3)

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商品描述

Gain sharp insights into your data and solve real-world data science problems with R―from data munging to modeling and visualization

About This Book

  • Handle your data with precision and care for optimal business intelligence
  • Restructure and transform your data to inform decision-making
  • Packed with practical advice and tips to help you get to grips with data mining

Who This Book Is For

If you are a data scientist or R developer who wants to explore and optimize your use of R's advanced features and tools, this is the book for you. A basic knowledge of R is required, along with an understanding of database logic.

What You Will Learn

  • Connect to and load data from R's range of powerful databases
  • Successfully fetch and parse structured and unstructured data
  • Transform and restructure your data with efficient R packages
  • Define and build complex statistical models with glm
  • Develop and train machine learning algorithms
  • Visualize social networks and graph data
  • Deploy supervised and unsupervised classification algorithms
  • Discover how to visualize spatial data with R

In Detail

R is an essential language for sharp and successful data analysis. Its numerous features and ease of use make it a powerful way of mining, managing, and interpreting large sets of data. In a world where understanding big data has become key, by mastering R you will be able to deal with your data effectively and efficiently.

This book will give you the guidance you need to build and develop your knowledge and expertise. Bridging the gap between theory and practice, this book will help you to understand and use data for a competitive advantage.

Beginning with taking you through essential data mining and management tasks such as munging, fetching, cleaning, and restructuring, the book then explores different model designs and the core components of effective analysis. You will then discover how to optimize your use of machine learning algorithms for classification and recommendation systems beside the traditional and more recent statistical methods.

Style and approach

Covering the essential tasks and skills within data science, Mastering Data Analysis provides you with solutions to the challenges of data science. Each section gives you a theoretical overview before demonstrating how to put the theory to work with real-world use cases and hands-on examples.

商品描述(中文翻譯)

深入瞭解 R 語言,從資料整理到建模和視覺化,解決真實世界的資料科學問題。

關於本書:
- 精確處理和管理資料,以獲得最佳商業智能。
- 重組和轉換資料,以支持決策。
- 提供實用建議和技巧,幫助您掌握資料挖掘。

本書適合對 R 的高級功能和工具感興趣的資料科學家或 R 開發人員。需要基本的 R 知識和對資料庫邏輯的理解。

您將學到:
- 連接並從 R 的強大資料庫中載入資料。
- 成功擷取和解析結構化和非結構化資料。
- 使用高效的 R 套件轉換和重組資料。
- 使用 glm 定義和建立複雜的統計模型。
- 開發和訓練機器學習演算法。
- 視覺化社交網絡和圖形資料。
- 部署監督和非監督分類演算法。
- 瞭解如何使用 R 視覺化空間資料。

R 是進行精確且成功的資料分析的必備語言。其眾多功能和易用性使其成為挖掘、管理和解釋大型資料集的強大工具。在理解大數據變得關鍵的今天,通過精通 R,您將能夠有效且高效地處理資料。

本書將為您提供所需的指導,建立和發展您的知識和專業能力。本書將理論與實踐相結合,幫助您理解並利用資料獲取競爭優勢。

從介紹您通過必要的資料挖掘和管理任務(如整理、擷取、清理和重組)開始,本書探討了不同的模型設計和有效分析的核心組件。然後,您將發現如何優化機器學習演算法的使用,以進行分類和推薦系統,並使用傳統和最新的統計方法。

本書以理論概述開始,然後通過實際案例和實際示例演示如何將理論應用於實際工作中,涵蓋資料科學中的基本任務和技能。