Introduction to Machine Learning on Oracle Database

In this first Office Hours session for Oracle Machine Learning, Mark Hornick provides an introduction to the Oracle Machine Learning (OML) family of products, both on-premises and on the Oracle Cloud. Learn about the key component technologies and features available today, and that are coming soon. See how the key attributes of automation, scalability, and production readiness enable enterprises to increase productivity, achieve enterprise goals faster, and innovate more.

Oracle Machine Learning consists of complementary components supporting scalable machine learning algorithms for in-database and big data environments (including Cloud and on-premises), notebook technology, SQL, Python and R APIs, and Hadoop/Spark environments.

Video highlights:

00:20 - Oracle Machine Learning Key Attributes
03:00 - OML components rebranding
04:40 - OML empowers Enterprise Users
09:55 - Cross-Platform Machine Learning
13:40 - OML Notebooks and OML4SQL
21:50 - OML4R and OML4Python
33:20 - AutoML with OML4Py
37:17 - OML4Spark
39:27 - Application Integration with OML
41:10 - OML Roadmap
50:38 - Q&A

Full set of slides available at: https://asktom.oracle.com/pls/apex/as...

AskTOM Office Hours offers free, monthly training and tips on how to make the most of Oracle Database, from Oracle product managers, developers and evangelists.

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