In this issue:

• we explore CI/CD in ML Solutions;  

• we discuss Amazon’s continual learning architecture that manages the ML models lifecycle;  

• we overview CML, an open-source library for enabling CI/CD in ML pipelines.     

Enjoy the learning!

💡 ML Concept of the Day: CI/CD in ML Solutions  

Today we would like to bring together some of the ideas we have explored into what many considered the ultimate expression of MLOps: continuous integration and deployment (CI/CD) in ML pipelines. CI/CD is a well-established concept in traditional software development. But in the world of ML, it is taking its first steps. Like in traditional software, CI/CD in ML focuses on streamlining the ML solutions’ delivery and management, but the specifics look quite different from established CI/CD concepts.  

Establishing a CI/CD pipeline for ML applications requires considering aspects such as ...