Oracle Makine Öğrenimi ile Oracle Kendi Kendini Yöneten Veritabanını ve Analitik Bulutu sunmayı ve kullanmayı öğrenin. Oracle Bulut üzerinde verilerden kestirimsel analiz yapmanın kolaylığını deneyimleyin.
Hedefler
- Küresel bir çalışma alanında etkin bir işbirliğine imkan sağlayacak olan OML’deki özellikleri tartışma
- Bu Oracle Bulut servislerinin işinize nasıl bir değer katabileceğini ve işinizi nasıl dönüştürebileceğini açıklama
- Oracle Makine Öğrenimi ile uyumlu olan Oracle Bulut servislerini belirleme
- Oracle Makine Öğrenimi’nin (OML) yetkinlikleri ve özelliklerini açıklama
- Oracle Analitik Bulutunun veri görselleştirme özelliklerini keşfetme
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