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Oracle Machine Learning Office Hours

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August 11

16:00 - 17:00 UTC    Start Times Around the World

Description

Oracle Machine Learning Office Hours
Oracle Machine Learning integrates with key enterprise infrastructure, and delivers the performance, scalability, and automation required by enterprise-scale data science projects, and further differentiates Oracle Database. 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. Oracle Machine Learning consists of complementary components supporting scalable machine learning algorithms for in-database and big data environments (including Cloud and on-premises), notebook technology, SQL, Python and R APIs, and Hadoop/Spark environments.

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.
Charlie Berger
Charlie Berger, Sr. Director Product Management, Machine Learning, AI and Cognitive Analytics    
Charlie Berger is the Sr. Director of Product Management, Machine Learning, AI and Cognitive Analytics in Oracle Server Technology. He’s been carrying the Product Management flag for Oracle’s server tech machine learning for 20 years—starting when Oracle acquired Thinking Machines Corporation’s data mining development team where he was the VP of Product Management. He is a technical evangelist and supports Application Dev. teams who embed ML, supports customers and Sales and is the co-founder of the (BIWA) Analytics and Data Summit events. Previously, he worked in startups in expert systems, statistical and data visualization software and robotics and machine vision. He holds a Master of Science in Manufacturing Engineering and an MBA, both from Boston University. He holds a BS in Operations Research/Industrial Engineering from UMASS, Amherst.
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.

All Sessions

September 8 2021 16:00:00 UTCOracle Machine Learning Office Hours
August 11 2021 16:00:00 UTCOracle Machine Learning Office Hours
June 29 2021Weekly Office Hours: OML on Autonomous Database - Ask & Learn
June 22 2021ML Concepts - Encoding of Categorical Attributes: OneHot vs Mean vs WoE and when to use them
June 15 2021OML usage highlight: Machine Learning Recommendations for Maintenance and Repair
May 25 2021Hands-On Lab using Oracle Machine Learning AutoML UI on Autonomous Database
May 18 2021Hands-On Lab using Oracle Machine Learning Services on Autonomous Database
May 11 2021OML usage highlight: Oracle Process Automation with Real-time OML Services scoring
April 20 2021OML usage highlight: Oracle Stream Analytics with Real-time OML Services scoring
April 13 2021OML usage highlight: Making Oracle Digital Assistant smarter with OML Services
March 30 2021OML feature highlight: OML AutoML UI for Automated Model Building
March 23 2021Weekly Office Hours: OML on Autonomous Database - Ask & Learn
March 11 2021OML feature highlight: OML Services on Autonomous for Model Deployment
March 2 2021Weekly Office Hours: OML on Autonomous Database - Ask & Learn
February 23 2021Hands-On Lab using Oracle Machine Learning for Python on Autonomous Database
February 18 2021Machine Learning 102 - Feature Extraction
December 17 2020Machine Learning 101: Feature Extraction
November 5 2020Machine Learning 102: Clustering
October 28 2020Oracle Machine Learning for R: An Introduction
September 29 2020Machine Learning 101: Clustering