Data Science Using Oracle Data Miner and Oracle R Enterprise: Transform Your Business Systems into an Analytical Powerhouse(快遞進口)

Automate the predictive analytics process using Oracle Advanced Analytics. This book talks about how Oracle Data Miner and Oracle R Enterprise which are the two components of Oracle Advanced Analytics can provide a framework for in-database predictive analytics. You'll see a unified architecture and embedded workflow to automate various analytics steps such as data preprocessing, model creation, and storing final model output to tables.
You'll take a deep dive into various statistical models commonly used in businesses and how they can be automated for predictive analytics using various SQL, PLSQL, ORE, ODM, and native R packages. You'll get to know various options available in the ODM workflow for driving automation. Also, you'll get an understanding of various ways to integrate ODM packages, ORE, and native R packages using PLSQL for automating the processes.
Data Science Using Oracle Data Miner and Oracle R Enterprise starts with an introduction to Data Science, covering why automation is necessary and the level of complexity in various Data Science tasks. Then, it focuses on how predictive analytics can be automated by using Oracle Data Miner and Oracle R Enterprise. Also, it explains when and why ODM and ORE are to be used together for automation.The subsequent chapters detail various statistical processes and machine learning techniques used for predictive analytics such as clustering methods, regression analysis, classification techniques, calculating attribute importance, ensemble models, and neural networks. In these chapters you will also get to understand the automation processes for each of these statistical processes using ODM and ORE along with their application in a real-life business use case.

What You Will Learn
* Discover the functionality of Oracle Data Miner and Oracle R Enterprise
* Gain methods to perform in-database predictive analytics
* Use Oracle's SQL and PLSQL APIs for building analytical solutions
* Acquire knowledge of common and widely-used machine learning techniques in business

Who This Book Is For
* IT executives planning for quick ROI from business analytics solutions
* BI architects responsible for business analytics implementations
* Oracle architects and developers aspiring to learn data science and analytics
* R users and statisticians wanting to leverage the capability of R in Oracle Database

使用Oracle Advanced Analytics自動化預測分析流程。本書介紹了Oracle Data Miner和Oracle R Enterprise這兩個Oracle Advanced Analytics的組件，它們可以提供一個在數據庫中進行預測分析的框架。您將看到統一的架構和嵌入式工作流程，以自動化各種分析步驟，如數據預處理、模型創建和將最終模型輸出存儲到表中。

您將深入研究在企業中常用的各種統計模型以及如何使用各種SQL、PLSQL、ORE、ODM和本地R包來自動化預測分析。您將了解ODM工作流程中可用的各種選項來推動自動化。此外，您還將了解使用PLSQL集成ODM包、ORE和本地R包的各種方法來自動化這些過程。

《使用Oracle Data Miner和Oracle R Enterprise進行數據科學》首先介紹了數據科學，包括為什麼需要自動化以及各種數據科學任務的複雜程度。然後，它重點介紹了如何使用Oracle Data Miner和Oracle R Enterprise來自動化預測分析。同時，它解釋了何時以及為什麼需要一起使用ODM和ORE進行自動化。

接下來的章節詳細介紹了用於預測分析的各種統計過程和機器學習技術，例如聚類方法、回歸分析、分類技術、計算屬性重要性、集成模型和神經網絡。在這些章節中，您還將了解使用ODM和ORE自動化每個統計過程的過程，以及它們在實際業務案例中的應用。

您將學到什麼：
- 發現Oracle Data Miner和Oracle R Enterprise的功能
- 獲得在數據庫中進行預測分析的方法
- 使用Oracle的SQL和PLSQL API構建分析解決方案
- 獲得在業務中常用的機器學習技術的知識

本書適合對商業分析解決方案追求快速投資回報的IT高管、負責商業分析實施的BI架構師、希望學習數據科學和分析的Oracle架構師和開發人員，以及希望在Oracle數據庫中利用R能力的R用戶和統計學家。