Name: Data Science Using Oracle Data Miner and Oracle r Enterprise: Transform Your Business Systems Into an Analytical Powerhouse (en Inglés)
SKU: 57461088
Price: 50.37 USD
Availability: InStock
Author: Sibanjan Das

portada Data Science Using Oracle Data Miner and Oracle r Enterprise: Transform Your Business Systems Into an Analytical Powerhouse (en Inglés)

Data Science Using Oracle Data Miner and Oracle r Enterprise: Transform Your Business Systems Into an Analytical Powerhouse (en Inglés)

Formato

Libro Físico

Editorial

Apress

Autor

Sibanjan Das

Idioma

Inglés

N° páginas

311

Encuadernación

Tapa Blanda

ISBN13

9781484226131

N° edición

Data Science Using Oracle Data Miner and Oracle r Enterprise: Transform Your Business Systems Into an Analytical Powerhouse (en Inglés)

Sibanjan Das (Autor) · Apress · Tapa Blanda

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Reseña del libro "Data Science Using Oracle Data Miner and Oracle r Enterprise: Transform Your Business Systems Into an Analytical Powerhouse (en Inglés)"

Automate the predictive analytics process using Oracle Data Miner and Oracle R Enterprise. This book talks about how both these technologies 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 Automation Using Oracle Data Miner and Oracle R Enterprise starts with an introduction to business analytics, covering why automation is necessary and the level of complexity in automation at each analytic stage. 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 used for predictive analytics such as calculating attribute importance, clustering methods, regression analysis, classification techniques, 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'll learnDiscover the functionality of Oracle Data Miner and Oracle R EnterpriseGain methods to perform in-database predictive analyticsUse Oracle's SQL and PLSQL APIs for building analytical solutionsAcquire knowledge ofcommon and widely-used business statistical analysis techniquesWho this book is forIT executives, BI architects, Oracle architects and developers, R users and statisticians.