Orchestrating a Machine Learning Workflow
In this chapter, we’re going to go through an exercise in orchestrating processes to support a machine learning-based solution. We’ll walk through the design and implementation of assets for a recommendation system. We’ll cover some basic MLOps practices and show how to ensure our system is implemented in an operationally useful way.
In this chapter, we’re going to cover the following topics:
- Basics of a machine learning-based project
- Designing your DAG
- Implementing your DAG
- Post-implementation activities
