Texera: An Open-Source System for Cloud-Based Collaborative Data Science and AI/ML Using Workflows

Overview

Explore Texera, an open-source cloud platform for collaborative data science and AI/ML using workflows, enabling users with various backgrounds to conduct AI-centric data science with Google Docs-like collaboration features.

Syllabus

• Introduction to Texera
Overview of Texera's ecosystem
Key features and benefits
Understanding workflows in Texera
• Setting Up Texera Environment
Installation and configuration
User interface tour
Managing user accounts and permissions
• Collaborative Features
Real-time collaboration and sharing
Version control and history tracking
Discussion and annotation tools
• Data Ingestion and Preparation
Connecting to data sources
Data cleaning and preprocessing
Data transformation techniques
• Workflow Design and Management
Creating and managing workflows
Workflow components and their functions
Best practices in workflow design
• Integrating AI/ML Models
Importing AI/ML models
Training and evaluating models within Texera
Model deployment and scaling
• Advanced Workflow Features
Automation and scheduling
Parallel processing and optimization
Monitoring and alerting mechanisms
• Case Studies and Applications
Real-world use cases
Collaborative data science projects
Lessons learned and best practices
• Troubleshooting and Support
Common issues and solutions
Community and resources
Accessing further help and documentation
• Future Directions and Developments
Upcoming features in Texera
Contributing to the project
Exploring the roadmap and community involvement

Subjects

Data Science