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Oracle Machine Learning Office Hours

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October 28

15:00 UTC   Start Times Around the World


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.

Video 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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Your Experts

Mark Hornick
Mark Hornick, Senior Director, Product Management, Data Science and Machine Learning    
Mark Hornick is the Senior Director of Product Management for the Oracle Machine Learning (OML) family of products. He leads the OML PM team and works closely with Product Development on product strategy, positioning, and evangelization, Mark has over 20 years of experience with integrating and leveraging machine learning with Oracle technologies, working with internal and external customers in the application of Oracle’s machine learning technologies for scalable and deployable data science projects. Mark is Oracle’s representative on the R Consortium’s Board of Directors, an Oracle Adviser and founding member of the Business Intelligence Warehousing and Analytics (BIWA) User Community, and Content Selection Committee Chair for the Analytics and Data Summits.
Marcos Arancibia
Marcos Arancibia, Product Manager, Data Science and Big Data    
Marcos Arancibia is the Product Manager for Oracle Data Science and Big Data. He works with Machine Learning in the Oracle Database and on Big Data clusters under Hadoop and Spark, on premises and in the Oracle Cloud. He works within Product Management to develop product strategy, roadmap prioritization, product positioning and product evangelization, working closely with the engineering team in defining the product roadmaps for Oracle Machine Learning and Big Data in the Cloud. Before joining Oracle 9 years ago he was at SAS Institute Inc. for 13 years as a Data Mining architect and expert in the US and Latin America. He holds a Bachelor Degree of Science in Statistics with additional courses in the Master of Science in Statistics, both from UNICAMP in Brazil. He has Certifications from Stanford on AI and Machine Learning, and from the University of Washington on Computational Neuroscience. He is an expert on Deep Learning and passionate about Machine Learning.