Here is a quick guide to learning how to perform machine learning inside the Oracle Autonomous Database using Oracle Machine Learning. Now every Oracle Database EE, SE2 and Autonomous Database comes with 30+ in-database implementations of machine learning algorithms. In Autonomous Databases, users can quickly access the Oracle Machine Learning notebooks.
Many thanks to my collaborators Siddesh C Prabhu Dev Ujjni, Staff Solution Engineer, firstname.lastname@example.org and Dhvani Sheth, Senior Solution Engineer, email@example.com for all their help.
In on-premises Databases and Database as a Service, users should use the Oracle Data Miner UI that comes bundled in SQL Developer or for the R integration (OML4R), some R IDE such as RStudio.
Hands-on Lab environment:
ADW Instances used in the Analytics and Data Summit HOL Feb. 25th were made specially available for that event. At this time, everyone is encouraged to use the Always Free Autonomous Database and Cloud Infrastructure
The easiest way to get started using Oracle Machine Learning are to try out the notebooks that come in the Examples gallery.
They are great starting points for creating your own Oracle Machine Learning notebooks with your own data that solve your own data-driven problems.
Have fun and good luck!