Predictive Analytics with SAS and R: Core Concepts, Tools, and Implementation
暫譯: SAS 與 R 的預測分析：核心概念、工具與實作

Mangrulkar, Ramchandra S., Vijay Chavan, Pallavi

Predictive Analytics with SAS and R: Core Concepts, Tools, and Implementation
  • 出版商: Apress
  • 出版日期: 2025-02-04
  • 售價: $2,350
  • 貴賓價: 9.5 折 $2,233
  • 語言: 英文
  • 頁數: 390
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868809040
  • ISBN-13: 9798868809040
  • 相關分類: R 語言、Machine Learning

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Gain practical knowledge of application implementation using various programming approaches in predictive analytics. This book serves as a comprehensive guide for both beginners and professionals in the field of predictive analytics, offering core principles and practical insights without requiring an extensive mathematics or statistics background.

The book starts with an introduction to analytics in decision making, protective analytics basics, and implementation in various industries. The book then takes you through types of regression, and simple linear regression in detail, followed by a demonstration of R Studio and SAS. Multiple Linear Regression is discussed next along with MLR model diagnostics. The book covers Multivariate Analysis and teaches you how to work with Principal Components Analysis, Factor Analysis, and much more. You also learn Time series Analysis with an understanding of Autoregressive Moving Average (ARMA) Models.

After reading the book, you will be able to put predictive analytics principles into practice.

What You Will Learn

  • Understand modeling, estimating, and evaluating models for forecasting
  • Implement Partial F-Test and Variable Selection Method
  • Demonstrate each analysis model in R Studio and SAS
  • Understand SLR and MLR Analysis models

Who This Book Is For

Students and professionals in the field of data analysis and intelligence applications

商品描述(中文翻譯)

獲得使用各種程式設計方法在預測分析中實現應用的實用知識。本書作為一本全面的指南，適合預測分析領域的初學者和專業人士，提供核心原則和實用見解，而不需要廣泛的數學或統計背景。

本書首先介紹了在決策中分析的基本概念、預測分析的基礎知識以及在各行各業中的實施。接著，本書詳細介紹了回歸的類型以及簡單線性回歸，隨後展示了 R Studio 和 SAS 的使用。接下來討論了多元線性回歸及其模型診斷。本書涵蓋了多變量分析，並教您如何使用主成分分析、因子分析等技術。您還將學習時間序列分析，並理解自回歸移動平均（ARMA）模型。

閱讀本書後，您將能夠將預測分析原則付諸實踐。

您將學到的內容：
- 理解建模、估計和評估預測模型
- 實施部分 F 檢驗和變數選擇方法
- 在 R Studio 和 SAS 中演示每個分析模型
- 理解簡單線性回歸（SLR）和多元線性回歸（MLR）分析模型

本書適合對象：
數據分析和智能應用領域的學生和專業人士

作者簡介

Dr. Ramchandra Sharad Mangrulkar is a Professor in the Department of Information Technology at Dwarkadas J. Sanghvi College of Engineering in Mumbai, India. He holds various memberships in professional organizations such as IEEE, ISTE, ACM, and IACSIT. He has established himself as a knowledgeable and skilled professional in his field. He has also obtained certifications such as Certified Network Security Specialist (ICSI - CNSS) from ICSI, UK. He has a strong publication record with 126 publications. Dr. Mangrulkar is proficient in several technologies and tools, including Microsoft's Power BI, Power Automate, Power Query, Power Virtual Agents, Google's Dialog Flow, Data Analytics Models and Overleaf.

Dr. Pallavi Vijay Chavan is an Associate Professor in the Department of Information Technology at Ramrao Adik Institute of Technology, D Y Patil Deemed to be University, Navi Mumbai, MH, India. She has been in academics for the past 17 years and has worked in the areas of computing theory, data science, data analytics, and network security. In her academic journey, she has published research work in the data science and security domains with reputed publishers including Springer, Elsevier, CRC Press, and Inderscience.

作者簡介(中文翻譯)

拉姆昌德拉·沙拉德·曼古爾卡博士是印度孟買Dwarkadas J. Sanghvi工程學院資訊科技系的教授。他是多個專業組織的成員，包括IEEE、ISTE、ACM和IACSIT。他在自己的領域中已建立了豐富的知識和技能。他還獲得了來自英國ICSI的認證網路安全專家（ICSI - CNSS）。 他擁有強大的出版紀錄，共有126篇出版物。 曼古爾卡博士精通多種技術和工具，包括微軟的Power BI、Power Automate、Power Query、Power Virtual Agents、谷歌的Dialog Flow、數據分析模型和Overleaf。

帕拉維·維賈伊·查萬博士是印度納維孟買D Y Patil被認可大學Ramrao Adik技術學院資訊科技系的副教授。她在學術界已有17年的經驗，並在計算理論、數據科學、數據分析和網路安全等領域工作。在她的學術旅程中，她在數據科學和安全領域發表了多篇研究作品，並與知名出版商如Springer、Elsevier、CRC Press和Inderscience合作。

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