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Oracle Machine Learning Office Hours

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April 13

15:00 UTC   Start Times Around the World

Description

OML usage highlight: Making Oracle Digital Assistant smarter with OML Services
Join us on this week in our Office Hours for Oracle Machine Learning on Autonomous Database, where Senior Oracle Cloud Engineer Bob Peulen, and Principal Cloud Specialist Engineer Maurits Dijkens will explain how to use the Oracle Digital Assistant with Oracle Machine Learning Services REST API, and demonstrate a simple use case of a Smart ChatBot that can request a scoring in real-time.

The Oracle Machine Learning product family supports data scientists, analysts, developers, and IT to achieve data science project goals faster while taking full advantage of the Oracle platform.

The Oracle Machine Learning Notebooks offers an easy-to-use, interactive, multi-user, collaborative interface based on Apache Zeppelin notebook technology, and support SQL, PL/SQL, Python and Markdown interpreters. It is available on all Autonomous Database versions and Tiers, including the always-free editions.

OML includes AutoML, which provides automated machine learning algorithm features for algorithm selection, feature selection and model tuning, in addition to a specialized AutoML UI exclusive to the Autonomous Database.

OML Services is also included in Autonomous Database, where you can deploy and manage native in-database OML models as well as ONNX ML models (for classification and regression) built using third-party engines, and can also invoke cognitive text analytics.

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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.
Bob Peulen
Bob Peulen, Cloud Engineer
Cloud Engineer in NL, focusing on Analytics, Data Warehousing, Data Science, Machine Learning and Artificial Intelligence.
Maurits Dijkens
Maurits Dijkens, Solution Consultant NLP
Focussing on Digital Experience and Natural Language Processing

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