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Oracle Machine Learning Office Hours

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December 11

17:00 UTC   Start Times Around the World

Description

Oracle's Comprehensive Machine Learning Platform
Eager to adopt machine learning in your enterprise? Get an inside look at Oracle's platform AI solutions including new approaches using machine learning and data science.

In this session learn Oracle’s strategy and solutions for AI across all of Oracle cloud platform and how they support both data scientists and the extended data science team of data engineers, business analysts, and application developers. Learn how to take advantage of the machine learning capabilities embedded in Oracle Database, Hadoop, and Oracle Analytics, and see how Oracle Data Science Cloud improves teamwork and shortens time to value.

Slides used can be found in the Resources section.

Video highlights are below:
01:56 Oracle Advanced Analytics Option now free with Oracle Database (Mark Hornick)
06:02 Oracle's Comprehensive Machine Learning Platform (Wes Prichard)
07:03 Challenges of Machine Learning
09:55 Machine Learning made easier for you
15:49 Machine Learning in Oracle's products
18:45 Building Machine Learning Solutions
21:30 Oracle Machine Learning - ML in Oracle data management systems
27:20 OCI Data Science - collaboration and scalability for data science teams
29:32 3rd Party ML Solutions - performance with your own tools
30:24 Advanced Analytics Capabilities
34:05 Summary of Machine Learning made easier for you
36:20 Q&A

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Your Experts

WesPrichard
WesPrichard, Senior Director, Industry Solution Architecture
Wes Prichard is Senior Director of Industry Solution Architecture for big data, machine learning, and data science. He focuses on data and technology solutions drawing on his experience with a wide variety of industries and government as a technology consultant and a hands-on practitioner with multiple Oracle technologies.
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.

All Sessions

August 11 2021 16:00:00 UTCOracle Machine Learning Office Hours
June 29 2021 15:00:00 UTCHands-on Lab: Machine Learning 101 Classification
June 22 2021 15:00:00 UTCML 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
August 4 2020Machine Learning 102: Regression