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Oracle Machine Learning Office Hours

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March 30

15:00 UTC   Start Times Around the World

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.

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Session Resources

Your Experts

Marcos Arancibia
Marcos Arancibia, Product Manager, Data Science and Big Data    
Marcos Arancibia is the Product Manager for Oracle Data Science and Big Data. He works with Machine Learning in the Oracle Database and on Big Data clusters under Hadoop and Spark, on premises and in the Oracle Cloud. He works within Product Management to develop product strategy, roadmap prioritization, product positioning and product evangelization, working closely with the engineering team in defining the product roadmaps for Oracle Machine Learning and Big Data in the Cloud. Before joining Oracle 9 years ago he was at SAS Institute Inc. for 13 years as a Data Mining architect and expert in the US and Latin America. He holds a Bachelor Degree of Science in Statistics with additional courses in the Master of Science in Statistics, both from UNICAMP in Brazil. He has Certifications from Stanford on AI and Machine Learning, and from the University of Washington on Computational Neuroscience. He is an expert on Deep Learning and passionate about Machine Learning.
Mark Hornick
Mark Hornick, Senior Director, Product Management, Data Science and Machine Learning    
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, working with internal and external customers in the application of Oracle’s machine learning technologies for scalable and deployable data science projects. Mark is Oracle’s representative on the R Consortium’s Board of Directors, an Oracle Adviser and founding member of the Business Intelligence Warehousing and Analytics (BIWA) User Community, and Content Selection Committee Chair for the Analytics and Data Summits.
Sherry LaMonica
Sherry LaMonica, Principal Member of Technical Staff, Oracle Machine Learning Product Management
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 system R for data science projects. She has worked with customers in fields as diverse as as pharmaceutical research, financial analysis, manufacturing and healthcare IT.