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November 15, 2022

16:00 UTC   Start Times Around the World

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Description

Getting Started with the OML4Py 1.0 REST API
Join us for this session on the Oracle Machine Learning for Python (OML4Py) REST API. One of the advantages of OML4Py is embedded Python execution, which allows users to invoke user-defined Python functions from Python, SQL, and REST interfaces using Python 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 Python engines, with output formats including structured data, XML, JSON, and PNG images.

Your Experts

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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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    Mark Hornick

    Mark Hornick   

    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, and working with internal and external customers in applying Oracle’s machine learning technologies for scalable and deployable data science projects. Mark is Oracle’s representative to the R Consortium and an Oracle adviser and founding member of the Analytics and Data Oracle User Community. He holds a bachelor's degree from Rutgers University and a master's degree from Brown University, both in Computer Science.
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