Join us to learn about Oracle Machine Learning for R (OML4R) for Oracle Autonomous Database. OML4R leverages the database as a high-performance computing environment to explore, transform, and analyze data faster and at scale, while allowing the use of familiar R syntax and semantics. The in-database parallelized machine learning algorithms are exposed through a well-integrated R interface. Further, data scientists and other R users can store and manage user-defined R functions as well as R objects directly in the database – as opposed to being managed in flat files. These features facilitate collaboration across the data science team by enabling convenient hand-off of data science work products from data scientists to application developers for immediate deployment. Run user-defined R functions in database-spawned and managed R engines, with system-supported data-parallel and task-parallel options. This session includes a demonstration through OML Notebooks.