OML feature highlight: New OML Notebook templates for ML Classification

On this weekly Office Hours for Oracle Machine Learning on Autonomous Database, we introduced the latest Notebook templates for Machine Learning Classification problems. This was a follow-along Session, since the OML Notebook templates are available to any Autonomous Database tenancy, and you were able to run it while we demonstrated it.

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.

Transcript

1. OML feature highlight: New OML Notebook templates for ML Classification OML Office Hours Marcos Arancibia Senior Principal Product Manager, Machine Learning Supported by Mark Hornick and Sherry LaMonica Product Management, Oracle Machine Learning Move the Algorithms; Not the Data! Copyright © 2021, Oracle and/or its affiliates. This Session will be Recorded
2. • Upcoming Sessions • Follow-along OML Notebooks ML Classification demo • Q&A Topics for today Copyright © 2021, Oracle and/or its affiliates 2
3. We will begin a Series of Follow-along reviews of the Example Template notebooks every week, with one subject per week. These will be Hands-on if you have access to any Autonomous Database, even the Always-Free one. • Classification • Regression • Clustering • Feature Extraction I – Dimensionality Reduction • Feature Extraction II - Explicit Semantic Analysis • Time Series If you are in JAPAC, don't miss the opportunity to watch the videos and participate on the Hands-on Labs at the Oracle Database World on December 1 – 2, 2021: https://www.oracle.com/database/database-world/ Upcoming Sessions Copyright © 2021, Oracle and/or its affiliates 3
4. Upcoming Sessions Copyright © 2021, Oracle and/or its affiliates 4
5. OML feature highlight: New OML Notebook templates for ML Classification OML Office Hours Marcos Arancibia Senior Principal Product Manager, Machine Learning
6. There are 12 Classification Demos that are specific to certain algorithms
7. Two options to access the Template Examples Copyright © 2020, Oracle and/or its affiliates | Confidential: Internal/Restricted/Highly Restricted 7
8. Select one of the Examples to create your own notebook Copyright © 2020, Oracle and/or its affiliates | Confidential: Internal/Restricted/Highly Restricted 8 1. Type "Classif" in the Search Filter 2. Click on the "Lip" around the Template. Note: Do NOT click its name, since it opens it as read- only
9. Two options to access the Template Examples Copyright © 2020, Oracle and/or its affiliates | Confidential: Internal/Restricted/Highly Restricted 9 Click on "Create Notebook" Give it a name Click OK
10. The new notebook will show up in the notebooks listing. Copyright © 2020, Oracle and/or its affiliates | Confidential: Internal/Restricted/Highly Restricted 10
11. Q & A Copyright © 2021, Oracle and/or its affiliates 11
12. Copyright © 2021, Oracle and/or its affiliates. 12 Thank you jie.jl.liu@oracle.com