Using Oracle Machine Learning with Autonomous Database

Objectives

• Discuss about the features in OML that will enable effective collaboration in a global workspace
• Describe how these Oracle Cloud services can add value and transform your business
• Identify Oracle Cloud services that are compatible with Oracle Machine Learning
• Explain the capabilities and features of Oracle Machine Learning (OML)
• Explore data visualizations capabilities of Oracle Analytics Cloud

Topics

• Course Overview
  • Target Audience
  • Prerequisites
  • Course Roadmap
  • Use Case: The Tronics
  • Class Person
  • Course Practices
  • Sample Database Schemas Used in the Course
• Introduction to Oracle Machine Learning and Oracle Autonomous Cloud Platform
  • Growth of Oracle Machine Learning
  • Oracle Machine Learning: Features & Components
  • Supported Oracle Cloud Services
  • Oracle Cloud Platform Autonomous Services
  • Oracle Autonomous Database
  • Oracle Analytics Cloud
  • Autonomous Data Warehouse Cloud: Use Cases
• Creating Workspace and Projects in Oracle Machine Learning
  • Accessing the Oracle Machine Learning Home Page
  • Creating a New Project and Workspace
  • Managing Workspaces Permissions
• Creating SQL Scripts and Running SQL Commands in Oracle Machine Learning
  • SQL Script Scratchpad
  • Developing & Running SQL Scripts
  • Exporting and Importing SQL Scripts
  • Restrictions on SQL Commands
  • Restrictions for Database Options
  • Restrictions for Database Initialization Parameters
  • Connection Groups
• Notebooks in Oracle Machine Learning
  • Examples: OML Notebook
  • Creating & Editing a Notebook
  • Typical Workflow for Analyzing Data with Oracle Machine Learning
  • Traditional Programming Versus Machine Learning
  • Creating Text Input Forms in Notebooks
  • Creating Select Forms in Notebooks
  • Creating Check Box Forms in Notebooks
  • Setting Up an Output Format
• Collaborating Using Templates in Oracle Machine Learning
  • Templates in Oracle Machine Learning
  • Saving a Notebook as Template in Oracle Machine Learning
  • Sharing Templates
  • Editing Template Settings
  • Collaborate Using the Export Option
• Working with Jobs in Oracle Machine Learning
  • Jobs in Oracle Machine Learning
  • Creating a Job
  • Viewing Job Logs
• Managing Oracle Machine Learning
  • Workflow for Managing Oracle Machine Learning
  • user-data
  • Compute Resource
  • Creating User Accounts for Oracle Machine Learning
• Working with Oracle Machine Learning using Autonomous Transaction Processing Cloud
  • Autonomous Transaction Processing
  • Typical Workflow for Autonomous Transaction Processing, and Other Services and Tools
  • Using Oracle Machine Learning with Autonomous Transaction Processing
  • K-means Algorithm
  • Oracle Machine Learning for Data Access, Analysis, and Discovery
• Creating Visualizations in Oracle Machine Learning Using Analytics Cloud
  • Oracle Analytics Cloud
  • Creating Connections to Oracle Autonomous Data Warehouse Cloud
  • Create Connections to Autonomous Transactional Processing Cloud
  • Use Machine Learning to Analyze Data by Using Oracle Analytics Cloud
  • Using Data Flow to Curate Data Sources
  • Running Data Flows
  • Prediction Visualization