Data Science Using Oracle Data Miner and Oracle R Enterprise Transform Your Business Systems into an Analytical Powerhouse /
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...
| Main Author: | Das, Sibanjan (Author) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berkeley, CA :
Apress : Imprint: Apress,
2016.
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Oracle and PL/SQL Recipes A Problem-Solution Approach /
by: Juneau, Josh, et al.
Published: (2010) -
Text Analytics with Python A Practical Real-World Approach to Gaining Actionable Insights from your Data /
by: Sarkar, Dipanjan
Published: (2016) -
Python Machine Learning Case Studies Five Case Studies for the Data Scientist /
by: Haroon, Danish
Published: (2017) -
Machine Learning Using R
by: Ramasubramanian, Karthik, et al.
Published: (2017) -
Expert PL/SQL Practices for Oracle Developers and DBAs /
by: Beresniewicz, John, et al.
Published: (2011)