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Oracle Machine Learning Office Hours

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October 11, 2022

15:00 - 16:00 UTC    Start Times Around the World

Description

Learn how to store R and Python objects in Oracle Autonomous Database using OML Datastores
Join us for this Office Hours session on the Oracle Machine Learning datastore. Oracle Machine Learning provides datastores to save your native R or Python objects such as ML models and lists, as well as OML4R or OML4Py proxy objects in your Oracle Database or Autonomous Database instance for use in embedded execution and access across database sessions. In this session, we’ll demonstrate the functions used to save, load, list, and set user permissions for datastores using OML4R and OML4Py.

Your Experts

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    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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    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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