Скачать или смотреть Oracle Machine Learning for R: An Introduction

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