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March 30, 2021

15:00 UTC   Start Times Around the World

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Description

OML feature highlight: OML AutoML UI for Automated Model Building
Join us to learn and see a live demo of a new feature of Oracle Machine Learning on Autonomous Database: OML AutoML UI.

The OML AutoML User Interface (UI) makes machine learning easy. AutoML UI provides an easy to use UI that automates repetitive, time-consuming tasks typically taken by data scientists, simplifies machine learning for non-expert users and accelerates the entire machine learning process from model building to model deployment.

With just a few “clicks”, users specify a table and the target attribute and AutoML UI given their business problem and data builds a model for you.

AutoML UI automatically preprocesses the data, picks the best candidate algorithm(s) that suits the defined task from OML’s library of available algorithms, selects the right number of input data samples and features to speed up model tuning.

AutoML UI builds OML models using the identified algorithms, tunes the hyperparameters and displays accuracy metrics so users can select the best model.

Session Resources

Your Experts

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    Marcos Arancibia

    Marcos Arancibia   

    Marcos Arancibia is a Senior Principal Product Manager in the Oracle Autonomous Database team. He is charted with developing a comprehensive platform for enabling all customers and use cases to be successful on Autonomous Database, and working with developers to bring their Applications and workloads as well. Within Product Management he works to develop product strategy, roadmap prioritization, product positioning and product evangelization, working closely with the engineering teams in defining the product roadmap for Autonomous Database. He previously was a PM for Oracle Machine Learning, and before joining Oracle in 2010 he spent 13 years at SAS Institute Inc., from Country Manager in LAD to Regional Data Mining lead in the US. He holds a bachelor's degree with additional courses in the master's degree, both in Statistics from UNICAMP in Brazil. He has Certifications from Stanford on AI and Machine Learning, and from the University of Washington on Computational Neuroscience.
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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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    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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