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Five (5) Oracle Machine Learning Notebooks You Should Know!

January 20 @ 13:00 - 14:00

Oracle Machine Learning Notebooks provide a collaborative user interface for data scientists and business and data analysts who perform machine learning in Oracle Autonomous Database--both Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP). Oracle Machine Learning Notebooks enables data scientists, citizen data scientists, and data analysts to work together to explore their data visually and develop analytical methodologies. The Notebooks interface provides access to Oracle's high performance, parallel and scalable in-database implementations of machine learning algorithms via SQL and PL/SQL, with support for Python and R coming soon. Easy to understand and easy to repurpose, OML notebooks enable novice, intermediate and expert Oracle data professionals to leverage OML’s 30+ algorithms for classification, regression, anomaly detection, attribute importance, clustering, associations, text mining and other machine learning problems. This HOL session steps users through five (5) “must see” OML notebooks that serve as the core of many data science projects: classification, attribute importance, time-series forecasting, text mining and anomaly detection. Come learn how to get started using Oracle Machine Learning to tackle a wide variety of data-driven problems.

This session was orginally included in the UKOUG Conference 2020 however, due to a technical issue it did not run as planned.
This event is free for members of the UKOUG. If you are a guest that registered for the UKOUG Conference 2020, please contact us with your booking details to book for this session for free.
This event is already included with your membership
Included in your membership


You can attend this event at the non-member rate but membership may be a more cost effective option, find out more here.

Students can attend for free


avatar for Charlie Berger

Charlie Berger, Oracle

Charlie Berger is the Senior Director of Product Management, Machine Learning, AI and Cognitive Analytics for Oracle Server Technology. Since 1999, he has been responsible for Oracle Machine Learning—starting when Oracle acquired Thinking Machines Corporation where he was VP of Product Management & Marketing. He works closely with Development, Customers and Applications that embed OML’s algorithms. He is the co-founder of BIWA Inc. that runs the Analytics and Data Oracle User Community (AnDOUC) TechCasts and events. Previously, he worked in product management and engineering in several startups in expert systems, statistical and exploratory data analysis, robotics and machine vision. Prior to that, he graduated from Honeywell Computer’s 3-year Manufacturing Management Program. He holds an MS in Manufacturing Engineering and an MBA, both from Boston University, and a BS in Operations Research/Industrial Engineering from the University of Massachusetts at Amherst.


January 20
13:00 - 14:00
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