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Oracle Machine Learning Office Hours

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October 12

15:00 UTC   Start Times Around the World

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Description

OML feature highlight: Time Series analysis with Oracle Machine Learning
Join us on this weekly Office Hours for Oracle Machine Learning on Autonomous Database, where Bhoopendra Singh, Implementation Specialist - DWH, Lake, Analytics, Data Science and AI will present the concepts about the Time Series algorithms available in Oracle Database, and will do a Live Demo on OML Notebooks.

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.

00:50 Topics for today
01:08 Upcoming Sessions
02:06 Time Series Forecasting
02:48 Time Series in OML
05:28 Time Series Patterns
08:52 Exponential Smoothing
10:40 Simple Exponential Smoothing
11:31 Models with Trend but no Seasonality
12:46 Models with Seasonality but no Trend
13:52 Models with Trend and Seasonality
14:45 Demo: Forecasting Sales using Exponential Smoothing for Time Series
30:21 Q&A

Your Experts

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    Bhoopendra  singh

    Bhoopendra singh

     
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    Marcos Arancibia

    Marcos Arancibia   

    Marcos Arancibia is the Product Manager for Oracle Machine Learning, working with Machine Learning in the Oracle Database and on Spark. He develops product strategy, roadmap prioritization, product positioning and product evangelization, helping define the product roadmap for Oracle Machine Learning. 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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    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, 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.
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