Create Notebooks, Workspaces, and Projects with Oracle Machine Learning Notebooks

Oracle Machine Learning Notebooks provides a collaborative interface for creating notebooks and for performing real-time analytics.

Using Oracle Machine Learning User Interface on Autonomous Database

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:

Work with Oracle Machine Learning User Interface for Data Access, Analysis, and Discovery

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

To access Oracle Machine Learning Notebooks you can use the Oracle Cloud Infrastructure Console or Database Actions.

To access Oracle Machine Learning Notebooks from the Oracle Cloud Infrastructure Console:

  1. From the Display Name column, select an Autonomous Database.

  2. On the Autonomous Database Details page click the Tools tab.

  3. In the Tools column, select the Oracle ML User Administration link.

  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.

To access Oracle Machine Learning Notebooks from Database Actions:

  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.
  5. Click Sign In.

This shows Oracle Machine Learning user application.

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Oracle Machine Learning Notebooks allows you to access your data in your database and build notebooks with the following:

  • Data Ingestion and Selection

  • Data Viewing and Discovery

  • Data Graphing, Visualization, and Collaboration

  • Data Analysis

You can also create and run SQL statements and create and run SQL scripts that access your data in your database.