Oracle Machine Learning Notebooks provide a browser-based interactive data analysis environment where you can develop, document, share, and automate analytical methodologies.

Oracle Machine Learning Notebooks includes:

• Oracle Machine Learning User Administration Application

  • Web based administrative UI for managing (list, create, update, delete) Oracle Machine Learning users

  • Notebook users map to database users.

  • Access to the User Management feature is limited to the database administrator account (ADMIN). See Create and Update User Accounts for Oracle Machine Learning Components on Autonomous Database for more information.

• Oracle Machine Learning Notebooks Application

  • Web based application for data scientists

  • Allows for creation of workspaces, projects, and notebooks

  See Work with Oracle Machine Learning User Interface for Data Access, Analysis, and Discovery for information on accessing Oracle Machine Learning user workspaces, projects, and notebooks from your Autonomous Database.

You can use Oracle Machine Learning Notebooks to access data and for data discovery, analytics, and notebooks.

1. On the Oracle Cloud Infrastructure Console, from the Display Name column select an Autonomous Database.
2. On the Autonomous Database Details page select Database Actions and click View all database actions.
3. On the Database Actions Launchpad, under Development, select Oracle Machine Learning.

   If you do not see the Oracle Machine Learning card then your database user is missing the required OML_DEVELOPER role. See Required Roles to Access Tools from Database Actions for more information.

4. Enter your username and password.
   The Administrator creates OML users. See Create and Update User Accounts for Oracle Machine Learning Components on Autonomous Database for details.
5. Click Sign In.

This shows Oracle Machine Learning user application.