Building ML Pipelines in JupyterLab Using Elyra - Without Writing Code

Explore how to build machine learning pipelines in JupyterLab using Elyra without writing code in this 42-minute conference talk by Patrick Titzler from IBM. Learn about Elyra's motivation, the Pipeline Editor, and pipeline properties. Discover when to use components and how to implement them effectively. Gain insights into running pipelines, configuring runtime environments, and viewing results. Understand the process of running pipelines remotely and explore various deployment options. The talk concludes with useful links and a Q&A session, providing a comprehensive overview of Elyra's capabilities for streamlining ML pipeline development in JupyterLab.

Introduction
What is Elyra
Motivation
Pipeline Editor
Pipeline Properties
When to use components
How to implement components
Running a pipeline
Runtime Environments
Running the Pipeline
Viewing the Pipeline Results
Running the Pipeline Remotely
Deployment Options
Useful Links
Questions