Preface
This manual describes Oracle Machine Learning for SQL (OML4SQL), a comprehensive, state-of-the-art machine learning capability within Oracle Database, previously known as Oracle Data Mining. This manual presents the concepts that underlie the procedural information that is presented in Oracle Machine Learning for SQL User’s Guide.
The preface contains these topics:
Technology Rebrand
Oracle is rebranding the suite of products and components that support machine learning with Oracle Database and Big Data. This technology is now known as Oracle Machine Learning (OML).
The OML application programming interfaces (APIs) for SQL include PL/SQL packages, SQL functions, and data dictionary views. Using these APIs is described in publications, previously under the name Oracle Data Mining, that are now named Oracle Machine Learning for SQL (OML4SQL).
Audience
Oracle Machine Learning for SQL Concepts is intended for anyone who wants to learn about Oracle Machine Learning for SQL.
Documentation Accessibility
For information about Oracle's commitment to accessibility, visit the Oracle Accessibility Program website at http://www.oracle.com/pls/topic/lookup?ctx=acc&id=docacc.
Access to Oracle Support
Oracle customers that have purchased support have access to electronic support through My Oracle Support. For information, visit http://www.oracle.com/pls/topic/lookup?ctx=acc&id=info or visit http://www.oracle.com/pls/topic/lookup?ctx=acc&id=trs if you are hearing impaired.
Diversity and Inclusion
Oracle is fully committed to diversity and inclusion. Oracle respects and values having a diverse workforce that increases thought leadership and innovation. As part of our initiative to build a more inclusive culture that positively impacts our employees, customers, and partners, we are working to remove insensitive terms from our products and documentation. We are also mindful of the necessity to maintain compatibility with our customers' existing technologies and the need to ensure continuity of service as Oracle's offerings and industry standards evolve. Because of these technical constraints, our effort to remove insensitive terms is ongoing and will take time and external cooperation.
Related Resources
Related documentation for Oracle Machine Learning for SQL (OML4SQL) includes publications and web pages.
The following publications document OML4SQL:
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Oracle Machine Learning for SQL Concepts (this publication)
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Oracle Machine Learning for SQL API Guide
Note:
Oracle Machine Learning for SQL API Guide combines key passages from Oracle Machine Learning for SQL Concepts and Oracle Machine Learning for SQL User’s Guide with related reference documentation from Oracle Database PL/SQL Packages and Types Reference, Oracle Database Reference, and Oracle Database SQL Language Reference.
- Oracle Database Reference
For other information and resources about OML4SQL, see the Oracle Machine Learning for SQL web page.
Oracle Machine Learning for SQL Resources on the Oracle Technology Network
The Oracle Machine Learning for SQL page on the Oracle Technology Network (OTN) provides a wealth of information, including white papers, demonstrations, blogs, discussion forums, and Oracle By Example tutorials.
You can download Oracle Data Miner, the graphical user interface to Oracle Machine Learning for SQL, from this site:
Conventions
The following text conventions are used in this document:
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Boldface type indicates graphical user interface elements associated with an action, or terms defined in text or the glossary. |
italic |
Italic type indicates book titles, emphasis, or placeholder variables for which you supply particular values. |
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