Table of Contents

• Title and Copyright Information
• Preface
  • Audience
  • Conventions
  • Documentation Accessibility
  • Related Resources
• 1 What's New in Oracle Machine Learning User Interface on Autonomous Database
• 2 Get Started with Oracle Machine Learning User Interface
  • 2.1 Get Started with Oracle Machine Learning User Interface
  • 2.2 Access Oracle Machine Learning User Interface
    • 2.2.1 About Oracle Machine Learning Password Policy
  • 2.3 About Oracle Machine Learning Notebooks
    • 2.3.1 Typical Actions when Using Oracle Machine Learning Notebooks
  • 2.4 Oracle Machine Learning User Interface Home Page
• 3 Get Started with Project and Workspaces
  • 3.1 Create Projects
  • 3.2 Create and Manage Workspaces and Projects
  • 3.3 Grant Workspace Permissions
    • 3.3.1 About Workspace Permission Types
• 4 Get Started with Oracle Machine Learning Notebooks for Data Analysis and Data Visualization
  • 4.1 About Oracle Machine Learning Notebooks
  • 4.2 Access your Oracle Machine Learning Notebooks Page
    • 4.2.1 Work with Notebook Versions on the Notebooks Page
  • 4.3 Edit your Oracle Machine Learning Notebook
    • 4.3.1 Work with Notebook Versions in the Notebook Editor
    • 4.3.2 Create Paragraph Dependencies
  • 4.4 Enable GPU Compute Capabilities in a Notebook through the Python Interpreter
  • 4.5 Export a Notebook
  • 4.6 Import a Notebook
  • 4.7 Use the SQL Interpreter in a Notebook Paragraph
    • 4.7.1 About Oracle Machine Learning for SQL
    • 4.7.2 Set Output Format in Notebooks
    • 4.7.3 Output Formats Supported by SET SQLFORMAT Command
  • 4.8 Use the Python Interpreter in a Notebook Paragraph
    • 4.8.1 About Oracle Machine Learning for Python
  • 4.9 Use the R Interpreter in a Notebook Paragraph
    • 4.9.1 About Oracle Machine Learning for R
  • 4.10 Use the Conda Interpreter in a Notebook Paragraph
    • 4.10.1 About the Conda Environment and Conda Interpreter
    • 4.10.2 Conda Interpreter Commands
    • 4.10.3 Create a Conda Environment for Python and Install Python Packages
    • 4.10.4 Create a Conda Environment for R and Install R Packages
    • 4.10.5 Upload the Conda environments to an Object Storage bucket associated with the Autonomous Database
  • 4.11 Use the Markdown Interpreter and Generate Static html from Markdown Plain Text
  • 4.12 About Interpreters and Notebook Service Levels
    • 4.12.1 Change Notebook Service Level
    • 4.12.2 Verify Notebook Service Level
  • 4.13 Use the Scratchpad
• 5 Get Started with Notebooks Classic for Data Analysis and Data Visualization
  • 5.1 Create a Notebook Classic
  • 5.2 Edit Your Notebook Classic
  • 5.3 Export a Notebook
  • 5.4 Import a Notebook
  • 5.5 Version a Notebook Classic
  • 5.6 Create Check Box Forms in Notebooks
  • 5.7 Create Select Forms in Notebooks
  • 5.8 Create Text Input Forms in Notebooks
  • 5.9 Collaborate in Oracle Machine Learning
• 6 Get Started with AutoML UI
  • 6.1 Access AutoML UI
  • 6.2 Create AutoML UI Experiment
    • 6.2.1 Supported Data Types for AutoML UI Experiments
  • 6.3 View an Experiment
    • 6.3.1 Create Notebooks from AutoML UI Models
• 7 Get Started with Data Monitoring
  • 7.1 Create a Data Monitor
  • 7.2 View Data Monitor Results
  • 7.3 View History
• 8 Get Started with Model Monitoring
  • 8.1 Create a Model Monitor
  • 8.2 View Model Monitor Results
  • 8.3 View Model History
• 9 Get Started with Models
  • 9.1 Deploy Model
• 10 Use Templates to Collaborate with Users
  • 10.1 Use the Personal Templates
    • 10.1.1 Create Notebooks from Templates
    • 10.1.2 Share Notebook Templates
    • 10.1.3 Edit Notebook Templates Settings
  • 10.2 Use the Shared Templates
    • 10.2.1 Create Notebooks from Templates
    • 10.2.2 Edit Notebook Templates Settings
  • 10.3 Use the Example Templates
    • 10.3.1 Create a Notebook from the Example Templates
    • 10.3.2 Example Templates
• 11 Get Started with Jobs
  • 11.1 About Jobs
  • 11.2 Create Jobs to Schedule Notebooks
  • 11.3 View Job Logs
• 12 Administer Oracle Machine Learning
  • 12.1 Typical Workflow for Managing Oracle Machine Learning
  • 12.2 Access OML User Management from Command Line
  • 12.3 Manage OML Users
    • 12.3.1 Create User
    • 12.3.2 Add Existing Database User Account to Oracle Machine Learning Components
  • 12.4 About User Data
    • 12.4.1 Reassign
  • 12.5 About Compute Resource
    • 12.5.1 Oracle Resource
      • 12.5.1.1 Resource Services and Notebooks
  • 12.6 Get Started with Connection Groups
    • 12.6.1 About Connection Groups
    • 12.6.2 About Global Connection Group
    • 12.6.3 Edit Oracle Database Interpreter Connection
  • 12.7 Get Started with Notebook Sessions