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April 04, 2023

15:00 UTC   Start Times Around the World

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Description

Solution Deployment: Estimating home property values using Autonomous Database, Oracle Machine Learning, and Oracle APEX
How do you deploy a machine-learning solution in an application? In this session, learn how to use Oracle Autonomous Database with Oracle Machine Learning (OML) and Oracle APEX services for fast and easy development of machine learning (ML) models in Autonomous Database. See how to use Oracle APEX to visualize and operationalize ML model predictions.

This solution deployment demonstration, based on Brooklyn property value data, details how to use OML with AutoML to train an ML model on 15 years of historical property transactions, and then use those models within Oracle APEX to estimate the market value of homes across Brooklyn, NY.

The ML pipeline developed for this demo can be easily adapted for a wide variety of ML use cases that Oracle customers face today, such as forecasting needs, demand, expenses, etc, as well as what-if scenario modeling.
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This session: https://asktom.oracle.com/pls/apex/asktom.search?oh=20742

Your Experts

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    Dr. Ryan Krebs

    Dr. Ryan Krebs

    A military veteran, published researcher, and clinician, Dr. Ryan Krebs is a respected thought leader at Oracle. His current focus as the Director of Data Science for the North America Cloud and Technology business is to work alongside the product and sales teams delivering high-value, cloud-based data science solutions for customers. Ryan’s passion is equal parts technical and managerial. A true believer in Deming and Sutherland’s Scrum, his leadership style reflects both a strong grounding in empirical philosophy and what Surowiecki calls “the wisdom of crowds.” An avid art enthusiast, his favorite artist is Franz Marc, he prefers Linux, and to quote Biz Stone, his daily ambition is to “embrace the upside of fantastic, epic, earth-shattering, life-changing failure.”
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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.
    #MISC#
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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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