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Oracle Machine Learning for R: An Introduction - Oracle Png Ml
Join us for a look at Oracle Machine Learning for R (OML4R) – the R interface to in-database machine learning and R script deployment from Oracle. R is the top statistical programming language for data science and computational statistics. OML4R enables you to work with database tables and views using familiar R syntax and functions. For scalable and performant data exploration, data preparation, and machine learning, leverage Oracle Database as a high performance compute engine. Build machine learning models using parallelized in-database algorithms using R Formula-based specification. Invoke user-defined R functions from SQL for deployment in applications and dashboards, where R engines are dynamically spawned and controlled by Oracle Database. Even take advantage of running your R functions in a data-parallel and task-parallel manner. We'll include a demonstration of OML4R that takes us through the transparency layer, in-database machine learning, and embedded R execution functionality. Highlights 01:08 Oracle Machine Learning Office Hours - next Session 02:24 Oracle Machine Learning for R: an Introduction 03:40 Machine Learning Pain Points 04:06 Oracle Machine Learning 05:16 Oracle Machine Learning for SQL 06:11 Traditional Analytics and data source interaction 07:35 Oracle Machine Learning for R 09:45 Proxy objects 10:25 Data types 10:56 OML4R Algorithms 11:35 Scalable Data Analysis - Model Building 14:06 Demo - OML4R Tour in RStudio 18:15 Demo - OML4R overloaded dplyr 18:49 Demo - OML4R Join Data tables 19:50 Demo - OML4R overloaded graphic functions 20:17 Demo - OML4R Machine Learning classification 23:20 Demo - OML4R Embedded R execution 25:13 Demo - OML4R Embedded R execution from SQL Developer 29:34 Demo - OML4R groupApply 31:20 R Consortium 32:07 Why Oracle for Machine Learning with R? 33:35 Q&A
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Oracle Layoffs - Will Tomorrow's Database Will Be Online Only?
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