Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques

Deepti Gupta

Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques

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商品描述

Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language.  

 
This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data.  The most challenging part of solving industrial business problems is the practical and hands-on knowledge of building and deploying advanced predictive models and machine learning algorithms. 
 
Applied Analytics through Case Studies Using SAS and R is your answer to solving these business problems by sharpening your analytical skills. 
 
What You'll Learn  
  • Understand analytics and basic data concepts 
  • Use an analytical approach to solve Industrial business problems 
  • Build predictive model with machine learning techniques
  • Create and apply analytical strategies
 
Who This Book Is For
 
Data scientists, developers, statisticians, engineers, and research students with a great theoretical understanding of data and statistics who would like to enhance their skills by getting practical exposure in data modeling.

商品描述(中文翻譯)

這本書以SAS和R分析語言為工具，提供了一個實用的分析方法，用於解決商業問題並實施預測模型和機器學習技術。本書適合那些熟悉編寫程式並對統計學有基本了解，但在實施預測模型和機器學習技術以分析真實世界數據方面經驗有限的讀者。解決工業商業問題最具挑戰性的部分是構建和部署高級預測模型和機器學習算法的實際操作和實踐知識。《應用案例研究：使用SAS和R進行分析》是您解決這些商業問題、提升分析技能的答案。

本書的目標讀者包括數據科學家、開發人員、統計學家、工程師和研究生，他們對數據和統計學有很好的理論理解，並希望通過實際應用來提升他們的數據建模技能。

本書的內容包括：
- 理解分析和基本數據概念
- 使用分析方法解決工業商業問題
- 使用機器學習技術構建預測模型
- 創建和應用分析策略

這本書將幫助您通過實際案例研究來應用分析技術解決商業問題，提升您的分析能力。

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