Using Oracle Machine Learning with Autonomous Database Training Course

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Using Oracle Machine Learning with Autonomous Database Certification Training Course Overview

Using Oracle Machine Learning with Autonomous Database course is designed for Data Scientists, Developers, Architects, Business Analysts and anyone who wants to know about Oracle Machine Learning and Oracle Autonomous Cloud Platform. In this course, you will learn how to use Oracle Autonomous Database and Analytics Cloud service instances with Oracle Machine Learning.

Target Audience

Analyst
Data Scientist
Manager

Using Oracle Machine Learning with Autonomous Database Training Course (Duration : 16 Hours) Download Course Contents

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Course Modules

Module 1: Course Overview

Target Audienc
Prerequisites
Course Roadmap
Use Case: El Tronics
Course Persona
Course Practices
Sample Database Schemas Used in the Course

Module 2: Introduction to Oracle Machine Learning and Oracle Autonomous Cloud Platform

Growth of Oracle Machine Learning
Oracle Machine Learning: Features & Components
Compatible Oracle Cloud Services
Oracle Cloud Platform Autonomous Services
Oracle Autonomous Database
Oracle Analytics Cloud
Autonomous Data Warehouse Cloud: Use Cases

Module 3: Creating Workspace and Projects in Oracle Machine Learning

Accessing the Oracle Machine Learning Home Page
Creating a New Project and Workspace
Managing Workspaces Permissions

Module 4: 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

Module 5: 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

Module 6: 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

Module 7: Working with Jobs in Oracle Machine Learning

Jobs in Oracle Machine Learning
Creating a Job
Viewing Job Logs

Module 8: Administering Oracle Machine Learning

Workflow for Managing Oracle Machine Learning
User Data
Compute Resource
Creating User Accounts for Oracle Machine Learning

Module 9: 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

Module 10: 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

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Course Prerequisites

Basic Computer Knowledge.

Introduction to Oracle Machine Learning and Oracle Autonomous Cloud Platform
Creating Workspace and Projects in Oracle Machine Learning
Creating SQL Scripts and Running SQL Commands in Oracle Machine Learning
Notebooks in Oracle Machine Learning
Collaborating Using Templates in Oracle Machine Learning
Working with Jobs in Oracle Machine Learning
Administering Oracle Machine Learning
Working with Oracle Machine Learning using Autonomous Transaction Processing Cloud
Creating Visualizations in Oracle Machine Learning Using Analytics Cloud