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October 18, 2022

15:00 UTC   Start Times Around the World

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Description

Getting Started with the OML4R 2.0 REST API
Join us for this session on the Oracle Machine Learning for R (OML4R) REST API. One of the advantages of OML4R is embedded R execution, which allows users to invoke user-defined R functions from R, SQL, and REST interfaces using R engines spawned and controlled by the Oracle Autonomous Database environment. In addition, those functions can be invoked in a data-parallel and task-parallel manner with multiple R engines, with output formats including structured data, XML, JSON, and PNG images.
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This session: https://asktom.oracle.com/pls/apex/asktom.search?oh=19363

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    Sherry LaMonica

    Sherry LaMonica

    Sherry is a member of the Oracle Machine Learning Product Management team. She has 20 years of software experience focused on enabling the commercial use of the open-source data analysis software systems R and Python for data science and machine learning projects. She has worked with customers in fields as diverse as as pharmaceutical research, financial analysis, manufacturing and healthcare IT.
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  • #SELECTION#
    Akash Dharamshi

    Akash Dharamshi

    Akash Dharamshi is a member of the North American Specialist Hub at Oracle as a Solution Engineer with a focus on Analytics and Machine Learning. He works to develop architecture, business discovery and product development to enable customer success. He holds a Bachelors degree in Applied Mathematics, Data Science and Statistics from The University of Texas at Austin.
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