From the course: MLOps Essentials: Model Development and Integration
Join today to access over 25,600 courses taught by industry experts.
Designing the ML workflow
From the course: MLOps Essentials: Model Development and Integration
Designing the ML workflow
- [Instructor] The workflow followed by the teams plays a critical role in ensuring that the principles of MLOps are instituted and managed effectively. Designing the workflow is a key activity that should be given new consideration at the beginning of the project. What is an ML Workflow? It is a sequence of processes and iterations that helps develop, manage and improve machine learning products and services. The specific workflow designed by the team would be based on the requirements, team structure, and deployment goals. However, there are some general best practices that need to be followed across the pipeline for effective MLOps. Let's discuss some of the general best practices. First, there should be traceability of everything. Whether it's data, models or processing steps. Knowing the lineage helps to measure progress, as well as troubleshoot issues. There should be repeatability of processing and the…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.