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Oracle Machine Learning Office Hours

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January 18, 2022

16:00 UTC   Start Times Around the World

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Description

OML feature highlight: New OML Notebook templates for ML Feature Extraction
In this weekly Office Hours for Oracle Machine Learning on Autonomous Database, we introduced the latest Notebook templates for Machine Learning Feature Extraction problems. This was a follow-along Session, since the OML Notebook templates are available to any Autonomous Database tenancy, and people were able to run it while we demonstrated it.

Video Highlights:
00:52 Topics for Today
01:26 Upcoming Sessions
01:58 Upcoming Sessions listing
02:28 Feature Extraction Algorithms
05:00 Attribute Importance
05:37 OML Attribute Importance
06:20 Singular Value Decomposition - SVD
07:10 Oracle Machine Learning SVD implementation
07:40 Non-negative Matrix Factorization - NMF
08:32 Two options to access the Template Examples
11:23 Live demo and follow-along for Feature Extraction examples
10:29 Demo of OML4Py Attribute Importance MDL
15:37 Demo of OML4SQL Feature Importance Unsupervised Attribute Importance
18:21 Demo of OML4Py Dimensionality Reduction SVD
25:16 Demo of OML4SQL Dimensionality Reduction NMF
27:08 Q&A
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This session: https://asktom.oracle.com/pls/apex/asktom.search?oh=16521

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    Marcos Arancibia

    Marcos Arancibia   

    Marcos Arancibia is a Senior Principal Product Manager in the Oracle Autonomous Database team. He is charted with developing a comprehensive platform for enabling all customers and use cases to be successful on Autonomous Database, and working with developers to bring their Applications and workloads as well. Within Product Management he works to develop product strategy, roadmap prioritization, product positioning and product evangelization, working closely with the engineering teams in defining the product roadmap for Autonomous Database. He previously was a PM for Oracle Machine Learning, and before joining Oracle in 2010 he spent 13 years at SAS Institute Inc., from Country Manager in LAD to Regional Data Mining lead in the US. He holds a bachelor's degree with additional courses in the master's degree, both in Statistics from UNICAMP in Brazil. He has Certifications from Stanford on AI and Machine Learning, and from the University of Washington on Computational Neuroscience.
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  • #SELECTION#
    Mark Hornick

    Mark Hornick   

    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, and working with internal and external customers in applying Oracle’s machine learning technologies for scalable and deployable data science projects. Mark is Oracle’s representative to the R Consortium and an Oracle adviser and founding member of the Analytics and Data Oracle User Community. He holds a bachelor's degree from Rutgers University and a master's degree from Brown University, both in Computer Science.
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  • #SELECTION#
    Sherry LaMonica

    Sherry LaMonica

    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 systems R and Python for data science and machine learning projects. She has worked with customers in fields as diverse as as pharmaceutical research, financial analysis, manufacturing and healthcare IT.
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